modelId
stringlengths
4
81
tags
list
pipeline_tag
stringclasses
17 values
config
dict
downloads
int64
0
59.7M
first_commit
timestamp[ns, tz=UTC]
card
stringlengths
51
438k
embedding
list
BlueGamerBeast/DialoGPT-small-joshua
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: basic-Reinforce-Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopt...
[ -0.03998688608407974, 0.0146670863032341, 0.01429026573896408, 0.01862572506070137, 0.050043560564517975, -0.01308946218341589, -0.019298823550343513, -0.02373507432639599, -0.01745372824370861, 0.06656642258167267, 0.035278838127851486, -0.006022910587489605, 0.010095270350575447, -0.0069...
BobBraico/bert-finetuned-ner
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.021851951256394386, -0.005458079278469086, 0.009569701738655567, 0.04164538159966469, 0.032408569008111954, 0.015338821336627007, -0.03008802980184555, -0.016149763017892838, -0.014236687682569027, 0.0612805038690567, 0.009041653014719486, 0.0007498038467019796, 0.00959410797804594, 0.0...
BogdanKuloren/continual-learning-paper-embeddings-model
[ "pytorch", "mpnet", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "MPNetModel" ], "model_type": "mpnet", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": n...
11
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-unit5 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: mean_...
[ -0.03081364557147026, 0.019544918090105057, 0.0035955500788986683, 0.011817357502877712, 0.04516413062810898, -0.016561051830649376, -0.024779465049505234, -0.01517455279827118, -0.0312422476708889, 0.08460517972707748, 0.016263892874121666, -0.006569287274032831, 0.017774786800146103, 0.0...
Boondong/Wandee
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: mit tags: - generated_from_trainer datasets: - training_corpus model-index: - name: gpt2-lhm-large-03 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->...
[ -0.032339777797460556, -0.02470332570374012, -0.021093931049108505, 0.03359923139214516, 0.03851989656686783, 0.022212153300642967, -0.01866801641881466, -0.0032005389221012592, -0.020196888595819473, 0.04512501880526543, 0.039561912417411804, -0.006896644365042448, 0.005385689903050661, 0...
Bosio/full-sentence-distillroberta3-finetuned-wikitext2
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: xpmir --- # SPLADE_max: SPLADEv2 with max aggregation SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval (Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stéphane Clinchant). 2021. https://arxiv.org/abs/2109.10086 ## Using the model The model can be loaded with [experi...
[ -0.02272360771894455, -0.04265507310628891, -0.006296919658780098, 0.040736302733421326, 0.038030412048101425, 0.007354564964771271, 0.0013950110878795385, 0.002927165711298585, -0.035472266376018524, 0.062323346734046936, 0.04645920172333717, -0.0004084429529029876, -0.00910209771245718, ...
BossLee/t5-gec
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
6
null
--- tags: - generated_from_trainer model-index: - name: result results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # result This model is a fine-tuned version of [h...
[ -0.041766632348299026, -0.004482396878302097, -0.013004375621676445, 0.0290243960916996, 0.025345124304294586, 0.027159754186868668, -0.011822789907455444, -0.01854535937309265, -0.0363331101834774, 0.04950927942991257, 0.03795304894447327, -0.015136686153709888, 0.009269656613469124, 0.03...
BotterHax/DialoGPT-small-harrypotter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.0421629324555397, -0.0011450507445260882, -0.00856785662472248, 0.050484590232372284, 0.028767794370651245, 0.021107997745275497, -0.02582201361656189, -0.03646759316325188, -0.006956185679882765, 0.04839150980114937, 0.017436906695365906, -0.00893634743988514, 0.019478503614664078, 0.0...
Brayan/CNN_Brain_Tumor
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- {} --- Model merged pastelwave + otaku dreambooth ver3 best vea : kl-f8-anime2 or berry mix
[ -0.030615272000432014, -0.030913211405277252, -0.004537964705377817, 0.031233539804816246, 0.020239224657416344, 0.00019161471573170274, 0.022996829822659492, 0.007599810604006052, 0.005608092527836561, 0.06449359655380249, 0.06484126299619675, 0.011444761417806149, 0.02541246823966503, 0....
BrianTin/MTBERT
[ "pytorch", "jax", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11
null
--- license: creativeml-openrail-m --- You may put 'molly mcgee' to prompt in Stable Diffusion WebUI. I make this with the model abyssOrangeMix2.
[ -0.04259134456515312, -0.008103253319859505, -0.02260127104818821, 0.02804182469844818, 0.05774660035967827, 0.024978503584861755, 0.018100379034876823, -0.012260711751878262, -0.010876623913645744, 0.04925829917192459, 0.05657223239541054, 0.031245887279510498, 0.022531552240252495, 0.038...
Brinah/1
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - navjordj/SNL_summarization model-index: - name: snl-large-summarization results: [] inference: parameters: max_length: 160 --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You s...
[ -0.03886706009507179, -0.007220083847641945, -0.0180937722325325, 0.046389032155275345, 0.039060328155756, 0.000786944292485714, -0.03285377845168114, -0.016261642798781395, -0.04163616895675659, 0.05798102915287018, 0.06018904224038124, -0.014781002886593342, 0.020946256816387177, 0.05836...
Broadus20/DialoGPT-small-harrypotter
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- library_name: xpmir --- # SPLADE_doc: SPLADEv2 model with document encoder only SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval (Thibault Formal, Carlos Lassance, Benjamin Piwowarski, Stéphane Clinchant). 2021. https://arxiv.org/abs/2109.10086 ## Using the model The model can be loaded ...
[ -0.02330395206809044, -0.04432429000735283, -0.004015723243355751, 0.044040996581315994, 0.03853931650519371, 0.001978608313947916, -0.0005060480907559395, 0.006043871399015188, -0.041661620140075684, 0.05782104656100273, 0.03494325652718544, -0.011998322792351246, -0.012109759263694286, 0...
Broadus20/DialoGPT-small-joshua
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
2023-02-07T13:48:46Z
--- license: apache-2.0 tags: - setfit - sentence-transformers - text-classification pipeline_tag: text-classification --- # fathyshalab/clinic-kitchen_and_dining-roberta-domain-adaptation This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trai...
[ -0.015488455072045326, -0.03421086072921753, -0.009430094622075558, 0.06421642750501633, 0.02389359287917614, 0.021647745743393898, -0.025743983685970306, -0.0006719143129885197, -0.03482494130730629, 0.06727171689271927, 0.015924528241157532, 0.02783716656267643, 0.02761404775083065, 0.01...
Brona/model1
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-02-07T13:54:05Z
--- license: apache-2.0 language: - en pipeline_tag: visual-question-answering --- This is an unoffical mirror of the model weights for use with https://github.com/OFA-Sys/OFA The original link is too slow when downloading from outside of China...
[ -0.047367557883262634, -0.024398375302553177, 0.0070268018171191216, 0.008111229166388512, 0.03719355911016464, 0.0017684170743450522, 0.017931587994098663, 0.046403951942920685, -0.05082320421934128, 0.032302845269441605, 0.026856930926442146, 0.018588026985526085, 0.025813816115260124, 0...
Brona/poc_de
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.04014148190617561, -0.0027689605485647917, -0.0070571000687778, 0.04998551681637764, 0.028561536222696304, 0.021608518436551094, -0.024335986003279686, -0.03700459748506546, -0.005607448052614927, 0.049317844212055206, 0.019228659570217133, -0.007985875010490417, 0.020556138828396797, 0...
BrunoNogueira/DialoGPT-kungfupanda
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
2023-02-07T14:02:57Z
--- license: cc-by-nc-4.0 pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers - generated_from_trainer datasets: - squad --- # bert-base-uncased-embedding-step-scheduler This model is a fine-tuned version of [bert-base-uncas...
[ -0.025645269080996513, -0.027110716328024864, -0.029111381620168686, 0.061842042952775955, 0.03200420364737511, 0.030700843781232834, -0.03529561311006546, 0.0002785498509183526, -0.05552529916167259, 0.06674253195524216, 0.015268594957888126, -0.00639184657484293, 0.004097905941307545, 0....
Bryan190/Aguy190
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-02-07T14:08:37Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.02137976884841919, -0.006299148313701153, 0.007536474149674177, 0.04150008410215378, 0.031995609402656555, 0.01526784896850586, -0.028538962826132774, -0.018445676192641258, -0.009858938865363598, 0.056892089545726776, 0.0019793144892901182, 0.004005281254649162, 0.015116693452000618, 0...
BumBelDumBel/ZORK-AI-TEST
[ "pytorch", "tensorboard", "gpt2", "text-generation", "transformers", "generated_from_trainer", "license:mit" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
Otaku Pastel Wave Version 1 + Orange Mix V2 Merge Model best vea : kl-f8-anime2 or berry mix
[ -0.010186120867729187, -0.033278606832027435, 0.007236553821712732, 0.03520289063453674, 0.016989409923553467, -0.003434195416048169, 0.029214857146143913, 0.015812015160918236, 0.013725399039685726, 0.05845409631729126, 0.046564437448978424, 0.007250132504850626, 0.03517331928014755, 0.03...
BumBelDumBel/ZORK_AI_FANTASY
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-02-07T14:28:50Z
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.019805995747447014, -0.018244892358779907, -0.010190872475504875, 0.03351043909788132, 0.052065350115299225, -0.016287878155708313, -0.012331160716712475, -0.009987612254917622, -0.06031392142176628, 0.05502802133560181, -0.0030861154664307833, -0.008730880916118622, 0.027979429811239243,...
BumBelDumBel/ZORK_AI_SCIFI
[ "pytorch", "tensorboard", "gpt2", "text-generation", "transformers", "generated_from_trainer" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
14
2023-02-07T14:33:38Z
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE...
[ -0.03948032855987549, 0.015868673101067543, 0.014020286500453949, 0.017731541767716408, 0.04921414330601692, -0.013273612596094608, -0.019519105553627014, -0.024213317781686783, -0.01768348179757595, 0.06776145100593567, 0.0356198325753212, -0.008010300807654858, 0.010986157692968845, -0.0...
BunakovD/sd
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: taxi_DRLCourse results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.50 +/-...
[ -0.016387473791837692, -0.012100555002689362, -0.006829130928963423, 0.03080465830862522, 0.04921678081154823, -0.0011227820068597794, -0.02098892815411091, 0.005205980036407709, -0.04136614874005318, 0.05299757793545723, 0.015395261347293854, -0.006175615359097719, 0.013885325752198696, 0...
Buntan/BuntanAI
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-02-07T14:34:39Z
--- language: en license: mit tags: - vision - image-to-text - image-captioning - visual-question-answering pipeline_tag: image-to-text inference: false --- # BLIP-2, OPT-6.7b, pre-trained only BLIP-2 model, leveraging [OPT-6.7b](https://huggingface.co/facebook/opt-6.7b) (a large language model with 6.7 billion param...
[ -0.014664145186543465, -0.022380078211426735, 0.003429850097745657, 0.04807142913341522, 0.027632076293230057, -0.00688925152644515, 0.0025142973754554987, 0.0008750634733587503, -0.005711780861020088, 0.055959559977054596, 0.034110233187675476, -0.01574648916721344, 0.005792344454675913, ...
Bwehfuk/Ron
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
Otaku Pastel Wave Version 1 + MixPro Merge Model best vea : kl-f8-anime2 or berry mix
[ -0.010068573988974094, -0.027522068470716476, 0.0072573828510940075, 0.03096846491098404, 0.01804238371551037, 0.00014856776397209615, 0.024680083617568016, 0.017435800284147263, 0.01572016440331936, 0.06110213324427605, 0.04834970459342003, 0.00045807502465322614, 0.03150790557265282, 0.0...
CALM/CALM
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-02-07T14:36:49Z
--- library_name: stable-baselines3 tags: - MiniGrid-FourRooms-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: MiniGrid-FourRooms-v0 type: Mini...
[ -0.0391886904835701, -0.0009751262259669602, -0.020420804619789124, 0.049317844212055206, 0.036235563457012177, 0.013585548847913742, -0.006394505500793457, -0.014213897287845612, -0.02938671223819256, 0.06474757939577103, 0.01697654463350773, -0.03739544004201889, 0.01453336700797081, 0.0...
CAMeL-Lab/bert-base-arabic-camelbert-ca-ner
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
85
2023-02-07T14:37:41Z
--- license: apache-2.0 tags: - endpoints-template duplicated_from: philschmid/flan-t5-xxl-sharded-fp16 --- # FORK of FLAN-T5 XXL > This is a fork of google/flan-t5-xxl implementing a custom `handler.py` as an example for how to use t5-11b with inference-endpoints on a single NVIDIA A10G. You can deploy the flan-t5-...
[ -0.02486051432788372, -0.004102160222828388, 0.0035510787274688482, 0.0305404681712389, 0.014282467775046825, 0.008258881978690624, -0.01263184379786253, -0.006327191833406687, -0.012287158519029617, 0.036642346531152725, 0.0150592140853405, -0.009544695727527142, 0.015578488819301128, 0.0...
CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-egy
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
16,451
2023-02-07T14:38:22Z
--- license: openrail tags: - generated_from_trainer model-index: - name: santacoder-finetuned-the-stack-swift results: [] datasets: - bigcode/the-stack-dedup language: - code pipeline_tag: text-generation --- <!-- This model card has been generated automatically according to the information the Trainer had access t...
[ -0.012140996754169464, -0.015749746933579445, -0.00009592216520104557, 0.048054199665784836, 0.04337138682603836, 0.03961579129099846, -0.02856789156794548, -0.0015396150993183255, -0.02365994080901146, 0.050232499837875366, 0.017429204657673836, -0.005388100631535053, 0.005402236245572567, ...
CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-msa
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
71
2023-02-07T14:40:33Z
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.037609219551086426, -0.0025551433209329844, -0.0055016265250742435, 0.02566695027053356, 0.04557596147060394, -0.02113952860236168, -0.0055118524469435215, -0.027480650693178177, -0.032770514488220215, 0.06664074957370758, 0.03272228315472603, -0.023511739447712898, 0.023178230971097946, ...
CAMeL-Lab/bert-base-arabic-camelbert-ca-sentiment
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
73
null
--- inference: false tags: - text-generation - opt license: other commercial: false duplicated_from: facebook/opt-iml-max-30b --- # OPT-IML ## Model Description [OPT-IML (OPT + Instruction Meta-Learning)](https://arxiv.org/abs/2212.12017) is a set of instruction-tuned versions of OPT, on a collection of ~2000 NLP tas...
[ -0.014382225461304188, -0.004932865966111422, -0.02339346893131733, 0.02243277244269848, 0.025370463728904724, 0.015421291813254356, -0.023268923163414, -0.008955338038504124, 0.0008971685310825706, 0.06794687360525131, 0.05494850128889084, 0.0006630038260482252, -0.004153168760240078, 0.0...
CAMeL-Lab/bert-base-arabic-camelbert-da-ner
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
42
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-model-1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type: mea...
[ -0.02930394560098648, 0.018593009561300278, 0.004975507501512766, 0.010302206501364708, 0.044129639863967896, -0.017279231920838356, -0.022588815540075302, -0.014840777032077312, -0.030041858553886414, 0.08504029363393784, 0.01837368868291378, -0.008450593799352646, 0.016902638599276543, 0...
CAMeL-Lab/bert-base-arabic-camelbert-da-poetry
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:1905.05700", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
37
2023-02-07T14:49:21Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: bert-large-cased-sigir-support-no-label-20 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment....
[ -0.012246689759194851, 0.002941785380244255, -0.03018399327993393, 0.05195121467113495, 0.05025294050574303, 0.002539932494983077, -0.02575395070016384, -0.02009551413357258, -0.03634486719965935, 0.06954143196344376, 0.007719739340245724, -0.025328319519758224, 0.01750885136425495, 0.0446...
CAMeL-Lab/bert-base-arabic-camelbert-da-pos-egy
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
32
null
--- license: mit language: - en tags: - conversational ---
[ -0.035509709268808365, 0.00013541243970394135, -0.011109918355941772, 0.01410035602748394, 0.020357569679617882, 0.017718441784381866, 0.0022610612213611603, 0.018753739073872566, -0.032673344016075134, 0.0405830480158329, 0.024935638532042503, -0.01588199846446514, 0.04463159292936325, 0....
CAMeL-Lab/bert-base-arabic-camelbert-da-pos-glf
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
54
2023-02-07T14:50:18Z
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-copter results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 metr...
[ -0.0432577021420002, 0.015235025435686111, 0.015528950840234756, 0.016539257019758224, 0.04959119111299515, -0.01435597613453865, -0.020657658576965332, -0.02303641103208065, -0.017203476279973984, 0.06754006445407867, 0.037997230887413025, -0.00755495298653841, 0.012630440294742584, -0.00...
CAMeL-Lab/bert-base-arabic-camelbert-da-pos-msa
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
27
null
--- datasets: - bigscience/P3 language: en license: apache-2.0 widget: - text: >- A is the son's of B's uncle. What is the family relationship between A and B? - text: >- Reorder the words in this sentence: justin and name bieber years is my am I 27 old. - text: |- Task: copy but say the opposite. ...
[ 0.006667186971753836, -0.035013243556022644, -0.008411305025219917, 0.05939191207289696, 0.04061602056026459, 0.02895026095211506, 0.004807501100003719, 0.017778337001800537, -0.04854149371385574, 0.03579554706811905, 0.029596537351608276, 0.01566149853169918, 0.014911944046616554, 0.00218...
CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "has_space" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
19,850
2023-02-07T14:52:28Z
--- license: creativeml-openrail-m base_model: ../../../diffusers_ckpts/anythingv3/ instance_prompt: a photo of sks person tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - lora inference: true --- # LoRA DreamBooth - kwangjin/novel_lora These are LoRA adaption weights for ../.....
[ -0.02663382515311241, -0.03474933281540871, -0.013860472477972507, 0.03195295110344887, 0.03387580066919327, -0.004342485684901476, -0.017056332901120186, -0.005984380375593901, -0.013550209812819958, 0.06816087663173676, 0.01590060256421566, -0.01766841486096382, -0.01599765196442604, 0.0...
CAMeL-Lab/bert-base-arabic-camelbert-da
[ "pytorch", "tf", "jax", "bert", "fill-mask", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
449
null
--- library_name: stable-baselines3 tags: - PandaPushDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaPushDense-v2 type: PandaPushDen...
[ -0.04241599515080452, -0.012157734483480453, -0.008058479987084866, 0.0422552265226841, 0.03751535341143608, -0.0018157665617763996, -0.020427612587809563, -0.01129914540797472, -0.037248753011226654, 0.06222837418317795, 0.026515627279877663, -0.0012372644850984216, 0.03929884731769562, 0...
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus26
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
45
2023-02-07T14:55:41Z
--- library_name: stable-baselines3 tags: - AntBulletEnv-v0 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: AntBulletEnv-v0 type: AntBulletEnv-v0 ...
[ -0.04569099470973015, -0.001344795455224812, -0.022076092660427094, 0.032497044652700424, 0.04385029897093773, 0.01813669502735138, -0.018399981781840324, -0.030277838930487633, -0.03707710653543472, 0.0692456066608429, 0.02195700816810131, 0.003370053833350539, 0.015073687769472599, 0.028...
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus6
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
34
null
--- tags: - generated_from_trainer model-index: - name: model-v4 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # model-v4 This model was trained from scratch ...
[ -0.028834382072091103, -0.007747188676148653, -0.013390610925853252, 0.03518425300717354, 0.03577733039855957, 0.016162261366844177, -0.006991054862737656, -0.005463054869323969, -0.04382818192243576, 0.060964904725551605, 0.03280995786190033, -0.022991884499788284, 0.008893615566194057, 0...
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-nadi
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
63
2023-02-07T14:57:44Z
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.017047138884663582, -0.01911969855427742, -0.005975008476525545, 0.030026637017726898, 0.050251156091690063, -0.01614050753414631, -0.01117967814207077, -0.009941980242729187, -0.05719571188092232, 0.05321327969431877, 0.0008337217150256038, -0.008500567637383938, 0.02559984289109707, 0...
CAMeL-Lab/bert-base-arabic-camelbert-mix-ner
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
1,860
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.016891831532120705, -0.01733609102666378, -0.005901787895709276, 0.02940763719379902, 0.051693711429834366, -0.018053878098726273, -0.012077121064066887, -0.0077305929735302925, -0.05734096094965935, 0.05415645241737366, -0.003553997026756406, -0.010072348639369011, 0.02393864095211029, ...
CAMeL-Lab/bert-base-arabic-camelbert-mix-poetry
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:1905.05700", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
31
2023-02-07T15:03:10Z
--- language: en license: mit tags: - vision - image-to-text - image-captioning - visual-question-answering pipeline_tag: image-to-text inference: false --- # BLIP-2, OPT-2.7b, fine-tuned on COCO BLIP-2 model, leveraging [OPT-2.7b](https://huggingface.co/facebook/opt-2.7b) (a large language model with 2.7 billion par...
[ -0.015034079551696777, -0.022725174203515053, 0.0038288196083158255, 0.04720226302742958, 0.027842512354254723, -0.0068735042586922646, 0.002119323704391718, 0.0016432597767561674, -0.004572659730911255, 0.056115902960300446, 0.034685466438531876, -0.015357260592281818, 0.0063291387632489204...
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-glf
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
132
2023-02-07T15:04:31Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SnowballTarget library_name: ml-agents --- # **ppo** Agent playing **SnowballTarget** This is a trained model of a **ppo** agent playing **SnowballTarget** using...
[ -0.03277426213026047, -0.0017581699648872018, -0.01976725086569786, 0.051077019423246384, 0.04064622521400452, 0.026928242295980453, -0.0030601532198488712, -0.0363021045923233, -0.028781121596693993, 0.04834694415330887, 0.023577846586704254, -0.004336080513894558, 0.019854238256812096, 0...
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-msa
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
1,862
null
--- license: mit tags: - generated_from_trainer model-index: - name: result results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # result This model is a fine-tuned ...
[ -0.033406224101781845, -0.005255150608718395, -0.01655501499772072, 0.03866901248693466, 0.033107832074165344, 0.039445701986551285, -0.01794290728867054, -0.005226775538176298, -0.02734670229256153, 0.060341060161590576, 0.036995094269514084, -0.021942881867289543, 0.008753538131713867, 0...
CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
855
2023-02-07T15:04:58Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71 ...
[ -0.019105348736047745, -0.018236037343740463, -0.005223621614277363, 0.02409553714096546, 0.0453573614358902, 0.0018249667482450604, -0.018122857436537743, 0.005373481195420027, -0.035468924790620804, 0.05409751459956169, 0.021970665082335472, -0.00623679393902421, 0.013478963635861874, 0....
CAMeL-Lab/bert-base-arabic-camelbert-mix
[ "pytorch", "tf", "jax", "bert", "fill-mask", "ar", "arxiv:2103.06678", "transformers", "Arabic", "Dialect", "Egyptian", "Gulf", "Levantine", "Classical Arabic", "MSA", "Modern Standard Arabic", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
20,880
null
--- language: - es - en tags: - translation license: apache-2.0 --- ### spa-eng * source group: Spanish * target group: English * OPUS readme: [spa-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-eng/README.md) * model: transformer * source language(s): spa * target language(s): ...
[ -0.0034688354935497046, -0.030727872624993324, -0.016515664756298065, 0.04831244423985481, 0.050221219658851624, 0.018941136077046394, -0.009768360294401646, 0.0008862353279255331, -0.06603922694921494, 0.06336382031440735, -0.005235637538135052, -0.02663782611489296, -0.009947220794856548, ...
CAMeL-Lab/bert-base-arabic-camelbert-msa-did-nadi
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
71
2023-02-07T15:08:08Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71...
[ -0.019647426903247833, -0.015172390267252922, -0.00715232826769352, 0.02540900744497776, 0.04732357710599899, -0.0012293971376493573, -0.019529065117239952, 0.007903854362666607, -0.03586810454726219, 0.052404846996068954, 0.014521928504109383, -0.007712116930633783, 0.01073626708239317, 0...
CAMeL-Lab/bert-base-arabic-camelbert-msa-eighth
[ "pytorch", "tf", "jax", "bert", "fill-mask", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
21
2023-02-07T15:10:12Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: mt5-small-finetuned-rabbi-kook results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # mt5-...
[ -0.040774136781692505, -0.003575884737074375, -0.008141499944031239, 0.0037598533090204, 0.032196346670389175, 0.011703492142260075, -0.0056864735670387745, 0.004814440850168467, -0.0235525444149971, 0.05403970181941986, 0.025103069841861725, -0.015711400657892227, 0.03025057166814804, 0.0...
CAMeL-Lab/bert-base-arabic-camelbert-msa-half
[ "pytorch", "tf", "jax", "bert", "fill-mask", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
16
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-CartPole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
[ -0.029234038665890694, 0.018230242654681206, 0.0036606306675821543, 0.009176405146718025, 0.04400138929486275, -0.018997717648744583, -0.021622145548462868, -0.01578444615006447, -0.029898816719651222, 0.0846094936132431, 0.017318837344646454, -0.008446608670055866, 0.017369553446769714, 0...
CAMeL-Lab/bert-base-arabic-camelbert-msa-ner
[ "pytorch", "tf", "bert", "token-classification", "ar", "arxiv:2103.06678", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
229
2023-02-07T15:11:28Z
--- datasets: - fka/awesome-chatgpt-prompts - openwebtext - Aunsiels/Quasimodo pipeline_tag: question-answering library_name: allennlp metrics: - accuracy ---
[ -0.014349729754030704, -0.01802864857017994, 0.0065477630123496056, 0.01657428964972496, 0.038408081978559494, -0.01272868737578392, -0.015911096706986427, 0.003740390995517373, -0.02822759933769703, 0.02637590281665325, 0.03063153102993965, 0.014710579998791218, -0.0001994200429180637, 0....
CAMeL-Lab/bert-base-arabic-camelbert-msa-poetry
[ "pytorch", "tf", "bert", "text-classification", "ar", "arxiv:1905.05700", "arxiv:2103.06678", "transformers", "license:apache-2.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
25
null
--- datasets: - bigscience/xP3 license: bigscience-bloom-rail-1.0 language: - ak - ar - as - bm - bn - ca - code - en - es - eu - fon - fr - gu - hi - id - ig - ki - kn - lg - ln - ml - mr - ne - nso - ny - or - pa - pt - rn - rw - sn - st - sw - ta - te - tn - ts - tum - tw - ur - vi - wo - xh - yo - zh - zu programmi...
[ -0.009993408806622028, -0.01401995588093996, 0.012968339957296848, 0.042878903448581696, 0.03411392495036125, 0.02679731883108616, -0.004208866972476244, -0.020500045269727707, -0.03696122020483017, 0.02012372575700283, 0.034520216286182404, -0.0009864927269518375, -0.006932093761861324, 0...
Calamarii/calamari
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-02-07T16:13:06Z
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-PixelCopter results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
[ -0.040906891226768494, 0.015442372299730778, 0.014500613324344158, 0.01734808459877968, 0.048977747559547424, -0.012873302213847637, -0.020414656028151512, -0.02355487085878849, -0.01685488596558571, 0.06802085787057877, 0.036431774497032166, -0.0070823789574205875, 0.011829490773379803, -...
Cameron/BERT-mdgender-wizard
[ "pytorch", "jax", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
30
2023-02-07T16:32:55Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - yelp_review_full metrics: - accuracy model-index: - name: test_trainer results: - task: name: Text Classification type: text-classification dataset: name: yelp_review_full type: yelp_review_full config: yelp_review_...
[ -0.019490191712975502, -0.004232706036418676, -0.010092614218592644, 0.04601771757006645, 0.027172747999429703, 0.01453409530222416, -0.017267389222979546, -0.010619551874697208, -0.033149655908346176, 0.05394093692302704, 0.02358834818005562, -0.01993606798350811, 0.003303072415292263, 0....
Camzure/MaamiBot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-02-07T16:47:44Z
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - metrics: - type: mean_reward value: 134.93 +/- 118.71 name: mean_reward task: type: reinforcement-learning name: r...
[ -0.03973197564482689, -0.005204467568546534, -0.0062533291056752205, 0.027331596240401268, 0.04416615515947342, -0.016907844692468643, -0.007292827591300011, -0.026751933619379997, -0.036456264555454254, 0.06552719324827194, 0.030804181471467018, -0.022761628031730652, 0.02335125394165516, ...
Canyonevo/DialoGPT-medium-KingHenry
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - en license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - accuracy model-index: - name: distilbert_sa_GLUE_Experiment_logit_kd_data_aug_wnli_256 results: - task: name: Text Classification type: text-classification dataset: name: GLUE WNLI type: glu...
[ -0.02007952891290188, -0.002107952954247594, -0.03305714204907417, 0.054227858781814575, 0.07536002993583679, 0.030174288898706436, -0.0026051648892462254, -0.026174554601311684, -0.04239898547530174, 0.07099895179271698, 0.026402872055768967, -0.02108452282845974, 0.00239993236027658, 0.0...
Carlork314/Carlos
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
[ -0.05107496306300163, 0.007816936820745468, -0.007129571866244078, 0.05853121727705002, 0.028867345303297043, 0.0318383052945137, -0.003948258701711893, -0.033329837024211884, -0.004749685060232878, 0.05151652544736862, 0.016631726175546646, -0.01322248112410307, 0.007532859221100807, 0.02...
dccuchile/albert-tiny-spanish-finetuned-ner
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
null
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.05033348500728607, -0.015883952379226685, -0.00852151308208704, 0.03647758811712265, 0.040707048028707504, 0.0022584327962249517, -0.021281607449054718, -0.011096824891865253, -0.03696506842970848, 0.057424649596214294, 0.024348195642232895, -0.0037686533760279417, 0.03196943551301956, ...
dccuchile/albert-xlarge-spanish-finetuned-ner
[ "pytorch", "albert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "AlbertForTokenClassification" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
5
null
--- tags: - generated_from_trainer model-index: - name: mini5-a results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # mini5-a This model was trained from scratch on...
[ -0.030568785965442657, -0.00910002738237381, -0.007269508671015501, 0.028423795476555824, 0.027624549344182014, 0.008334343321621418, -0.021841954439878464, -0.0058219097554683685, -0.04047706350684166, 0.052056796848773956, 0.03365972638130188, -0.020438076928257942, -0.01162924338132143, ...
dccuchile/bert-base-spanish-wwm-cased-finetuned-pos
[ "pytorch", "bert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
1
null
--- license: afl-3.0 ---Chatgpt/run/computershelp101.info
[ -0.01670411042869091, -0.010712463408708572, -0.02203422226011753, 0.017379097640514374, 0.04598393663764, 0.009690359234809875, 0.0017168388003483415, -0.005737702827900648, -0.02358320727944374, 0.03661403805017471, 0.034436218440532684, 0.02155456691980362, 0.012075383216142654, 0.02526...
dccuchile/bert-base-spanish-wwm-cased-finetuned-xnli
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
28
null
--- tags: - autotrain - vision - image-classification datasets: - davanstrien/autotrain-data-encyclopaedia-illustrations-blog-post widget: - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg example_title: Tiger - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/te...
[ -0.006605976726859808, -0.014437333680689335, 0.014147364534437656, 0.04886355996131897, 0.05009392648935318, -0.00820179469883442, -0.006742956582456827, 0.0011078373063355684, -0.036709412932395935, 0.05889727547764778, -0.005556045100092888, 0.005529286339879036, -0.0003615686728153378, ...
dccuchile/bert-base-spanish-wwm-uncased-finetuned-pawsx
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
24
null
--- tags: - autotrain - vision - image-classification datasets: - davanstrien/autotrain-data-encyclopaedia-illustrations-blog-post widget: - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg example_title: Tiger - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/te...
[ -0.008213644847273827, -0.01327667385339737, 0.014895846135914326, 0.04643423855304718, 0.04989760369062424, -0.00852175336331129, -0.007905588485300541, -0.0001909534475998953, -0.03766424581408501, 0.058117836713790894, -0.0029253712855279446, 0.004966553766280413, -0.0010589651064947248, ...
dccuchile/bert-base-spanish-wwm-uncased-finetuned-pos
[ "pytorch", "bert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "BertForTokenClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat...
5
null
--- tags: - autotrain - vision - image-classification datasets: - biglam/encyclopaedia_britannica_illustrated widget: - src: https://datasets-server.huggingface.co/assets/biglam/encyclopaedia_britannica_illustrated/--/biglam--encyclopaedia_britannica_illustrated/train/0/image/image.jpg example_title: not-illustrated ...
[ -0.00452121626585722, -0.009391231462359428, 0.009874979965388775, 0.039389438927173615, 0.05197858437895775, 0.0005153935053385794, -0.018381189554929733, -0.018902163952589035, -0.037350259721279144, 0.05044272169470787, 0.013355993665754795, 0.009266775101423264, 0.005985533818602562, 0...
dccuchile/bert-base-spanish-wwm-uncased-finetuned-qa-mlqa
[ "pytorch", "bert", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
5
null
--- tags: - autotrain - vision - image-classification datasets: - davanstrien/autotrain-data-encyclopaedia-illustrations-blog-post widget: - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg example_title: Tiger - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/te...
[ -0.008211662992835045, -0.013663900084793568, 0.01481678057461977, 0.04804002493619919, 0.04940018430352211, -0.008415698073804379, -0.007874040864408016, 0.000919449026696384, -0.03677165508270264, 0.05911427363753319, -0.0054514105431735516, 0.00583624467253685, -0.00021984796330798417, ...
dccuchile/bert-base-spanish-wwm-uncased-finetuned-xnli
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
36
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.019467387348413467, -0.0037564514204859734, 0.010660454630851746, 0.03876427933573723, 0.03109525516629219, 0.0156979002058506, -0.03312452509999275, -0.016404222697019577, -0.015371509827673435, 0.059116072952747345, 0.007469363044947386, 0.0033892227802425623, 0.008618179708719254, 0....
dccuchile/distilbert-base-spanish-uncased-finetuned-ner
[ "pytorch", "distilbert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "DistilBertForTokenClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
28
null
emotion classifier model ('angry','disgust', 'fear', 'happy', 'neutral', 'sad', 'surprise')
[ -0.02907746657729149, 0.014852731488645077, -0.010602826252579689, 0.029235368594527245, 0.07043434679508209, 0.056230802088975906, 0.002565912203863263, 0.0062971715815365314, -0.016342369839549065, 0.05022697150707245, 0.02447209320962429, -0.04814298450946808, 0.0436861589550972, 0.0451...
Cheatham/xlm-roberta-large-finetuned-d1
[ "pytorch", "xlm-roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
20
null
--- tags: - generated_from_trainer model-index: - name: data-kds results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # data-kds This model is a fine-tuned version o...
[ -0.032889869064092636, -0.020390650257468224, -0.007940438576042652, 0.01985173113644123, 0.036953359842300415, 0.006820220500230789, -0.0044096605852246284, -0.0026941190008074045, -0.05131993442773819, 0.06008901819586754, 0.01886267028748989, -0.029383832588791847, 0.017164038494229317, ...
Cheatham/xlm-roberta-large-finetuned-d1r01
[ "pytorch", "xlm-roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
21
null
--- tags: - generated_from_trainer model-index: - name: data-deepit-kds results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # data-deepit-kds This model is a fine-t...
[ -0.031220614910125732, -0.018906936049461365, -0.00656947772949934, 0.007264310028403997, 0.030550921335816383, 0.007984749041497707, -0.006596908438950777, -0.005945750977844, -0.04550253227353096, 0.06101928651332855, 0.00749455951154232, -0.04296474903821945, 0.012423946522176266, 0.030...
Cheatham/xlm-roberta-large-finetuned-r01
[ "pytorch", "xlm-roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
23
null
--- library_name: stable-baselines3 tags: - PandaReachDense-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: A2C results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: PandaReachDense-v2 type: PandaReach...
[ -0.049551352858543396, -0.016087200492620468, -0.008872654289007187, 0.03659233823418617, 0.041094858199357986, 0.0031043104827404022, -0.0212396290153265, -0.010599742643535137, -0.03822283819317818, 0.05706273019313812, 0.024574892595410347, -0.0031762246508151293, 0.03187993913888931, 0...
Cheatham/xlm-roberta-large-finetuned
[ "pytorch", "xlm-roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
20
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - metrics: - type: mean_reward value: 211.85 +/- 23.47 name: mean_reward task: type: reinforcement-learning name: re...
[ -0.03996673971414566, -0.004854538943618536, -0.00635784026235342, 0.026700366288423538, 0.044093791395425797, -0.01694219373166561, -0.00718185119330883, -0.026397688314318657, -0.0359460711479187, 0.06552465260028839, 0.03029109165072441, -0.023057984188199043, 0.02335956320166588, 0.001...
Cheatham/xlm-roberta-large-finetuned3
[ "pytorch", "xlm-roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "XLMRobertaForSequenceClassification" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
22
null
--- license: mit language: - it tags: - generated_from_keras_callback - text_generator model-index: - name: italian-literature-model-mini results: [] widget: - text: "un azzurro metallico" - text: "il sole alto" - text: "una barca a vela" - text: "mare calmo" - text: "all'improvviso" - text: "un incontro inaspettato"...
[ -0.010009833611547947, -0.02905859425663948, 0.002990884007886052, 0.03863832727074623, 0.030767863616347313, -0.005619238596409559, -0.002122416626662016, -0.008768325671553612, -0.043106529861688614, 0.0633242279291153, 0.013706616126000881, -0.026339435949921608, 0.0050221518613398075, ...
CheonggyeMountain-Sherpa/kogpt-trinity-poem
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
15
null
--- license: mit tags: - generated_from_trainer metrics: - accuracy model-index: - name: roberta-base-iphone-2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # ...
[ -0.03638853505253792, -0.007053127512335777, -0.0119171729311347, 0.027277670800685883, 0.028227370232343674, 0.02428881824016571, -0.02108616940677166, -0.004008311778306961, -0.04868624359369278, 0.049106013029813766, 0.03174854442477226, -0.03719625994563103, 0.007841074839234352, 0.032...
ChristianOrr/madnet_keras
[ "tensorboard", "dataset:flyingthings-3d", "dataset:kitti", "arxiv:1810.05424", "vision", "deep-stereo", "depth-estimation", "Tensorflow2", "Keras", "license:apache-2.0" ]
depth-estimation
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image inference: true extra_gated_prompt: |- This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. The CreativeML OpenRAIL License specifies: 1. ...
[ -0.005502939224243164, -0.005008580628782511, -0.02360573224723339, 0.017010264098644257, 0.027277814224362373, 0.017717674374580383, 0.01431097649037838, 0.0014691910473629832, -0.0119934706017375, 0.05227186903357506, 0.016790397465229034, -0.00857327226549387, 0.008756771683692932, 0.04...
Chuah/DialoGPT-small-harrypotter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- tags: - generated_from_trainer model-index: - name: ApacheGPTNEO results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # ApacheGPTNEO This model is a fine-tuned v...
[ -0.03659297898411751, -0.010708882473409176, -0.0037041620817035437, 0.03017869032919407, 0.0450093150138855, 0.011317013762891293, -0.0043334332294762135, 0.008271880447864532, -0.041221123188734055, 0.053512901067733765, 0.00629245862364769, -0.028017006814479828, 0.013109254650771618, 0...
Chun/w-zh2en-hsk
[ "pytorch", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.0375368706882, -0.002669950947165489, -0.004653361160308123, 0.025852853432297707, 0.04509948194026947, -0.021604161709547043, -0.0055352626368403435, -0.028135890141129494, -0.03329867124557495, 0.06660977005958557, 0.032395705580711365, -0.023385515436530113, 0.023132938891649246, 0.0...
ClaudeCOULOMBE/RickBot
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.50 +/- 2.77...
[ -0.01697157509624958, -0.01725255884230137, -0.0048434073105454445, 0.02523082308471203, 0.04736018180847168, -0.0021416156087070704, -0.01626414805650711, 0.0063866316340863705, -0.03860196843743324, 0.05332263186573982, 0.017808834090828896, -0.00790324341505766, 0.01249315869063139, 0.0...
ClaudeYang/awesome_fb_model
[ "pytorch", "bart", "text-classification", "dataset:multi_nli", "transformers", "zero-shot-classification" ]
zero-shot-classification
{ "architectures": [ "BartForSequenceClassification" ], "model_type": "bart", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
26
null
--- license: creativeml-openrail-m tags: - text-to-image widget: - text: reaisp --- ### Duskfall's Artificial Realism Dreambooth model trained by Duskfallcrew with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model You run your new concept...
[ -0.04335614666342735, -0.018862508237361908, -0.018933432176709175, 0.020207589492201805, 0.04259291663765907, 0.01157093234360218, -0.017289509996771812, -0.022204607725143433, -0.02666177600622177, 0.05945642292499542, 0.04298224672675133, 0.017514405772089958, -0.03341393917798996, 0.04...
CleveGreen/FieldClassifier_v2
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
46
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### Inisanium-Model Dreambooth model trained by Kilgori with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept via A1111 Col...
[ -0.031500477343797684, -0.03295267000794411, -0.01642058603465557, 0.04473874717950821, 0.04332840442657471, 0.014831497333943844, 0.006960870698094368, -0.014794999733567238, -0.022262709215283394, 0.05288369953632355, 0.05882237106561661, 0.00640716589987278, -0.017294960096478462, 0.035...
CleveGreen/JobClassifier
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
31
null
--- tags: - Pong-v4 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pong-v4 type: Pong-v4 metrics: - type: mean_...
[ -0.011223908513784409, -0.0022801505401730537, 0.008649456314742565, 0.04039584472775459, 0.028017235919833183, -0.025685254484415054, -0.022628283128142357, -0.02306903898715973, -0.026328755542635918, 0.05379725247621536, -0.006147822830826044, -0.00007304716564249247, 0.004783410578966141...
CoachCarter/distilbert-base-uncased-finetuned-squad
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### doodling-ai2 Dreambooth model trained by Serena47 with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept via A1111 Colab...
[ -0.02458491362631321, -0.008988008834421635, -0.02081781066954136, 0.03844917193055153, 0.031064758077263832, 0.012112347409129143, 0.009877058677375317, 0.004475343972444534, -0.01873178780078888, 0.036451101303100586, 0.030520213767886162, -0.0016146047273650765, -0.02656562067568302, 0....
CoachCarter/distilbert-base-uncased
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: thanat/distilbert-base-uncased-finetuned-imdb results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comm...
[ -0.0247071273624897, -0.0004086992994416505, -0.016705544665455818, 0.028196100145578384, 0.034374628216028214, 0.025145364925265312, -0.024672558531165123, -0.0262864138931036, -0.029352722689509392, 0.0613558255136013, 0.027066584676504135, -0.028722694143652916, 0.03467573970556259, 0.0...
CodeDanCode/CartmenBot
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
14
null
--- license: openrail++ tags: - stable-diffusion - text-to-image pinned: true --- # Stable Diffusion v2-1 Model Card This model card focuses on the model associated with the Stable Diffusion v2-1 model, codebase available [here](https://github.com/Stability-AI/stablediffusion). This `stable-diffusion-2-1` model is fi...
[ 0.00009785121801542118, -0.013459045439958572, -0.0017807087861001492, 0.03348361328244209, 0.0404307059943676, 0.007770268712192774, 0.008218461647629738, -0.01633443869650364, -0.024531889706850052, 0.04809316620230675, 0.013390104286372662, -0.001949775731191039, 0.016087260097265244, 0...
CoffeeAddict93/gpt1-call-of-the-wild
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- license: mit language: ja tags: - luke - question-answering - squad - pytorch - transformers - question answering --- # このモデルはluke-japanese-base-liteをファインチューニングして、Question-Answeringに用いれるようにしたものです。 このモデルはluke-japanese-base-liteをJSQuAD ( https://github.com/yahoojapan/JGLUE )を用いてファインチューニン...
[ 0.0008492725319229066, -0.04207561910152435, 0.004906768444925547, 0.0568755567073822, 0.02513289265334606, 0.006575569044798613, -0.0017008703434839845, 0.012574473395943642, -0.05920044705271721, 0.051159996539354324, 0.0242510586977005, 0.007574891671538353, 0.013910122215747833, 0.0299...
ComCom-Dev/gpt2-bible-test
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE...
[ -0.03952958434820175, 0.016017761081457138, 0.013954742811620235, 0.017346352338790894, 0.04928784817457199, -0.012890233658254147, -0.020283134654164314, -0.023881228640675545, -0.017472757026553154, 0.06776059418916702, 0.03515404090285301, -0.007884329184889793, 0.011324356310069561, -0...
Cometasonmi451/Mine
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m tags: - text-to-image widget: - text: plushiedsk --- ### Duskfall's Pink Spider Plushie Dreambooth model trained by Duskfallcrew with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model You run your new ...
[ -0.05084287002682686, -0.017906801775097847, -0.002339777536690235, 0.01995243690907955, 0.03224732354283333, 0.014025756157934666, -0.012207625433802605, -0.021899452432990074, -0.01783052831888199, 0.0566442608833313, 0.057447388768196106, 0.014580045826733112, -0.017492270097136497, 0.0...
ConstellationBoi/Oop
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.021481646224856377, -0.005712912883609533, 0.010965272784233093, 0.03911159560084343, 0.03292063996195793, 0.015361404977738857, -0.028549838811159134, -0.016152916476130486, -0.015184042975306511, 0.06142255291342735, 0.005858760327100754, 0.0003998971078544855, 0.010607177391648293, 0...
Contrastive-Tension/BERT-Distil-CT-STSb
[ "pytorch", "tf", "distilbert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "DistilBertModel" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
1
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### carrot_commercial_v2 Dreambooth model Sample pictures of this concept: ![0](https://huggingface.co/yuanzheng/carrot-commercial-v2/resolve/main/sample_images/00174-2092912628-_pid_sayuri_sake__japanese_sake_on_the_desk_wi...
[ -0.003121492452919483, -0.029361624270677567, -0.01927618496119976, 0.02036931738257408, 0.019427387043833733, -0.007973250932991505, 0.003930310253053904, 0.004137917887419462, -0.0292771365493536, 0.048555951565504074, 0.010689199902117252, -0.017915567383170128, 0.016208194196224213, 0....
Contrastive-Tension/BERT-Large-CT
[ "pytorch", "tf", "jax", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: bert-finetuned-squad results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->...
[ -0.01896597631275654, -0.0133772362023592, -0.021856149658560753, 0.04347022995352745, 0.04873977228999138, 0.028286486864089966, -0.0372893288731575, 0.011530512012541294, -0.024424472823739052, 0.036914143711328506, 0.0356941781938076, -0.005229295697063208, 0.026960095390677452, 0.03935...
Contrastive-Tension/BERT-Large-NLI-CT
[ "pytorch", "tf", "jax", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
15
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.03739354386925697, -0.0025120272766798735, -0.005005342420190573, 0.025866692885756493, 0.04603741317987442, -0.021361226215958595, -0.005623788572847843, -0.027889294549822807, -0.032999247312545776, 0.0664668008685112, 0.032179493457078934, -0.02364938333630562, 0.022876249626278877, ...
Coolhand/Sentiment
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-SoccerTwos library_name: ml-agents --- # **poca** Agent playing **SoccerTwos** This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unit...
[ -0.021877631545066833, -0.005617326591163874, 0.01034100167453289, 0.038868777453899384, 0.032054126262664795, 0.015562894754111767, -0.02830381505191326, -0.015744654461741447, -0.015644418075680733, 0.06131540611386299, 0.006106183398514986, 0.0004058816411998123, 0.010844302363693714, 0...
CouchCat/ma_mlc_v7_distil
[ "pytorch", "distilbert", "text-classification", "en", "transformers", "multi-label", "license:mit" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
29
null
--- license: mit language: - en pipeline_tag: text-classification tags: - legal --- Dataset and Training Script offered by the Atticus Project MAUD. Trained on AWS Sagemaker with 4 A10 GPUs. Model owned by King & Wood Mallesons Law Firm AI LAB. Project Member: - Wuyue(Tracy) Wang @ King & Wood Mallesons - Anbei Zha...
[ -0.025954732671380043, -0.010262886993587017, -0.03033972904086113, 0.0366695336997509, 0.041885312646627426, 0.04175802320241928, -0.0069564031437039375, 0.003927859477698803, -0.006207226775586605, 0.06747499853372574, 0.038297802209854126, 0.007730528712272644, 0.03967423364520073, 0.05...
CouchCat/ma_sa_v7_distil
[ "pytorch", "distilbert", "text-classification", "en", "transformers", "sentiment-analysis", "license:mit" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
38
null
--- license: creativeml-openrail-m tags: - text-to-image - art - digital art - stable diffusion widget: - text: gendigi language: - en library_name: diffusers pipeline_tag: text-to-image --- [![Open In Spaces](https://camo.githubusercontent.com/00380c35e60d6b04be65d3d94a58332be5cc93779f630bcdfc18ab9a3a7d3388/6874747073...
[ -0.019423730671405792, -0.04102064296603203, -0.014560921117663383, 0.02933119796216488, 0.03359127417206764, 0.022046290338039398, -0.011568550951778889, -0.030303338542580605, -0.001118633896112442, 0.05025921016931534, 0.04056025668978691, 0.01698722131550312, -0.041772156953811646, 0.0...
Coverage/sakurajimamai
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - samsum model-index: - name: flan-t5-base-samsum results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->...
[ -0.033690761774778366, -0.01735866628587246, -0.003778589889407158, 0.03983312472701073, 0.027227528393268585, 0.016295092180371284, 0.00018940008885692805, -0.007058913353830576, -0.03981868550181389, 0.04268854483962059, 0.05179355666041374, -0.004995346534997225, 0.015069419518113136, 0...
Coyotl/DialoGPT-test3-arthurmorgan
[ "conversational" ]
conversational
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: TRPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.038006991147994995, -0.006137939635664225, -0.007616130635142326, 0.025307217612862587, 0.048051971942186356, -0.022168990224599838, -0.007866941392421722, -0.027442246675491333, -0.0346425361931324, 0.0672445073723793, 0.03140074387192726, -0.026866231113672256, 0.022288499400019646, -...
CracklesCreeper/Piglin-Talks-Harry-Potter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
null
--- tags: - Pong-v4 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pong-v4 type: Pong-v4 metrics: - type: mean_...
[ -0.010665974579751492, 0.0007772078970447183, 0.00820872187614441, 0.04069873318076134, 0.027064502239227295, -0.02521403878927231, -0.023050295189023018, -0.023094424977898598, -0.026261821389198303, 0.053368084132671356, -0.00526029895991087, -0.00009562975174048916, 0.0036080400459468365,...
Craig/mGqFiPhu
[ "sentence-transformers", "feature-extraction", "sentence-similarity", "transformers", "license:apache-2.0" ]
feature-extraction
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.04133482649922371, -0.000163460208568722, -0.008158901706337929, 0.048256371170282364, 0.027526289224624634, 0.022112390026450157, -0.024282727390527725, -0.03723912313580513, -0.006041834130883217, 0.04937334731221199, 0.018170060589909554, -0.00924351904541254, 0.020462974905967712, 0...
Cthyllax/DialoGPT-medium-PaladinDanse
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.037666935473680496, -0.0029666079208254814, -0.00550368195399642, 0.02543332614004612, 0.045373283326625824, -0.021484499797225, -0.005389976315200329, -0.028057605028152466, -0.033220451325178146, 0.06635265797376633, 0.03273189812898636, -0.023952236399054527, 0.02254638262093067, 0.0...
Cyrell/Cyrell
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: openrail tags: - tflite - stable_diffusion --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> Stable Diffusion TFLite models # Model Details converted from [Keras CV Stable Diffusion](https://github.com/keras-team/keras-cv/tree/master/keras_cv/models/stable_diffus...
[ -0.021300705149769783, -0.01658843643963337, -0.020726192742586136, 0.020547062158584595, 0.04617636278271675, 0.01671195589005947, 0.012552003376185894, 0.0053449166007339954, -0.01670628786087036, 0.049838755279779434, 0.015498669818043709, 0.011012248694896698, 0.0035827062092721462, 0....
DSI/ar_emotion_6
[ "pytorch", "bert", "transformers" ]
null
{ "architectures": [ "BertForMultiLabelSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
1
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Taxi-uncle-1-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: -99.00 ...
[ -0.02062946744263172, -0.014615945518016815, -0.005959625355899334, 0.02863994799554348, 0.04512491077184677, 0.003141706809401512, -0.02124165929853916, 0.003936269320547581, -0.0335550419986248, 0.05234381929039955, 0.014096759259700775, -0.009340187534689903, 0.012316552922129631, 0.026...
DSI/human-directed-sentiment
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
26
null
--- license: mit tags: - pytorch - diffusers - unconditional-image-generation - diffusion-models-class --- # Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class) This model is a diffusion model for unconditional image generation of cute 🦋. ## Usage ```pyth...
[ -0.018980875611305237, -0.012971489690244198, 0.01059349812567234, 0.032045576721429825, 0.024775581434369087, 0.02342958375811577, 0.005804004613310099, -0.00674466835334897, -0.004011373966932297, 0.06322147697210312, -0.0022580900695174932, -0.015827739611268044, 0.026134664192795753, 0...
DSI/personal_sentiment
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
25
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: Taxi-uncle-2-lr02-n60k-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward valu...
[ -0.01887504942715168, -0.016237828880548477, -0.00835058931261301, 0.02862861007452011, 0.04785516858100891, 0.0021244450472295284, -0.020977582782506943, 0.002120931865647435, -0.03453027084469795, 0.051201894879341125, 0.01462814211845398, -0.009855293668806553, 0.01087898388504982, 0.02...
DTAI-KULeuven/mbert-corona-tweets-belgium-curfew-support
[ "pytorch", "jax", "bert", "text-classification", "multilingual", "nl", "fr", "en", "arxiv:2104.09947", "transformers", "Tweets", "Sentiment analysis" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
29
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: Stanford-Sentiment-Treebank results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. --> # Stanfo...
[ -0.049177560955286026, -0.010710973292589188, -0.0385296568274498, 0.035537756979465485, 0.03265196457505226, 0.03928377851843834, -0.0008059801766648889, -0.0026327730156481266, -0.06891393661499023, 0.043057288974523544, 0.027585137635469437, -0.018313836306333542, 0.014609185978770256, ...
alexandrainst/da-binary-emotion-classification-base
[ "pytorch", "tf", "safetensors", "bert", "text-classification", "da", "transformers", "license:cc-by-sa-4.0" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
1,066
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - squad model-index: - name: bert-finetuned-squad results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->...
[ -0.01896597631275654, -0.0133772362023592, -0.021856149658560753, 0.04347022995352745, 0.04873977228999138, 0.028286486864089966, -0.0372893288731575, 0.011530512012541294, -0.024424472823739052, 0.036914143711328506, 0.0356941781938076, -0.005229295697063208, 0.026960095390677452, 0.03935...
DataikuNLP/paraphrase-multilingual-MiniLM-L12-v2
[ "pytorch", "bert", "arxiv:1908.10084", "sentence-transformers", "feature-extraction", "sentence-similarity", "transformers", "license:apache-2.0" ]
sentence-similarity
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
1,517
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.03756469860672951, -0.0024304224643856287, -0.004700613673776388, 0.025684133172035217, 0.04508271813392639, -0.02143830433487892, -0.005105924792587757, -0.02782788872718811, -0.033639129251241684, 0.06670457869768143, 0.032531727105379105, -0.023366376757621765, 0.022831866517663002, ...