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 |
|---|---|---|---|---|---|---|---|
Camzure/MaamiBot-test | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
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] | conversational | {
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"no_repeat_ngram_size... | 9 | 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... | [
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Camzure/MaamiBot | [] | null | {
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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
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Canadiancaleb/jessebot | [] | null | {
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tags:
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- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
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type: reinforcement-learning
name: reinforcement-learning
dataset:
name: FrozenLake-v1-4x4-no_slippery
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CapitainData/wav2vec2-large-xlsr-turkish-demo-colab | [] | null | {
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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: 7.54 +/- 2.71
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Capreolus/bert-base-msmarco | [
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"no_rep... | 238 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
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Capreolus/birch-bert-large-car_mb | [
"pytorch",
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"jax",
"bert",
"next-sentence-prediction",
"transformers"
] | null | {
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tags:
- generated_from_trainer
model-index:
- name: toxification
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. -->
# toxification
This model is a fine-tuned v... | [
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Capreolus/birch-bert-large-mb | [
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"no_rep... | 1 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: taxiv3_Qlearning_v2
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
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value: 7.5... | [
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Capreolus/electra-base-msmarco | [
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"electra",
"text-classification",
"arxiv:2008.09093",
"transformers"
] | text-classification | {
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"... | 110 | null | ---
model:
base_learning_rate: 1.0e-04
target: ldm.models.diffusion.ddpm.LatentDiffusion
params:
linear_start: 0.00085
linear_end: 0.0120
num_timesteps_cond: 1
log_every_t: 200
timesteps: 1000
first_stage_key: "jpg"
cond_stage_key: "txt"
image_size: 64
channels: 4
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Carlork314/Carlos | [] | null | {
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library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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Carlork314/Xd | [] | null | {
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library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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CarlosPR/mt5-spanish-memmories-analysis | [
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"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
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"no_repeat... | 7 | null | ---
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- google/fleurs
metrics:
- wer
model-index:
- name: Whisper Medium Amharic FLEURS
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: google/fleurs am_et
typ... | [
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Carolhuehuehuehue/Sla | [] | null | {
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---
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... | [
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Cat/Kitty | [] | null | {
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"num_beams... | 0 | null | ---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- animal
widget:
- text: a photo of sgengiuli dog in the Acropolis with a crocodile hidden behind
---
# DreamBooth model for the sgengiuli concept trained by DiTo97 on a pri... | [
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dccuchile/albert-base-spanish-finetuned-mldoc | [
"pytorch",
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"no... | 34 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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dccuchile/albert-base-spanish-finetuned-pos | [
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"transformers",
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"no_re... | 5 | 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... | [
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dccuchile/albert-base-spanish-finetuned-qa-mlqa | [
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"question-answering",
"transformers",
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] | question-answering | {
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"no_repe... | 3 | 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... | [
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dccuchile/albert-base-spanish-finetuned-xnli | [
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"transformers"
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"no... | 28 | null | ---
license: agpl-3.0
language:
- en
thumbnail:
tags:
- text generation
- conversational
inference: false
---
# Pygmalion 1.3B
## Model description
Pymalion 1.3B is a proof-of-concept dialogue model based on EleutherAI's [pythia-1.3b-deduped](https://huggingface.co/EleutherAI/pythia-1.3b-deduped).
**Warning:** Thi... | [
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dccuchile/albert-large-spanish-finetuned-mldoc | [
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"transformers"
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"no... | 27 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-xlsum-with-multi-news-test-5-epoch
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete i... | [
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dccuchile/albert-large-spanish-finetuned-pawsx | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | {
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"no... | 25 | 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... | [
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dccuchile/albert-large-spanish-finetuned-pos | [
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"transformers",
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"no_re... | 1 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: my_deneme_3_epoch
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... | [
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dccuchile/albert-large-spanish-finetuned-qa-mlqa | [
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"no_repe... | 5 | null | One night after work, Joe was having a discussion with some colleagues, which controlled towards the way that over portion of their clients couldn't buy in view of terrible credit.
Follow this link https://philadelphia.asapcreditrepairusa.com/ | [
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"no... | 29 | 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: 7.44 +/- 2.75... | [
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dccuchile/albert-tiny-spanish-finetuned-mldoc | [
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"no... | 32 | null | ---
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
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dccuchile/albert-tiny-spanish-finetuned-ner | [
"pytorch",
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"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
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"no_re... | 8 | 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
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dccuchile/albert-tiny-spanish-finetuned-pawsx | [
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"transformers"
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"no... | 29 | null | ---
license: mit
---
Translates from Hebrew to Arabic
T5-base model that was trained on TED talks (around 347k sentences) Using a 37k unigram wordpiece shared vocabulary | [
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dccuchile/albert-xlarge-spanish-finetuned-ner | [
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"no_re... | 5 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
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type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
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"pytorch",
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"transformers"
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"no... | 29 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
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dccuchile/albert-xxlarge-spanish-finetuned-ner | [
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"transformers",
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"no_re... | 28 | 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... | [
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dccuchile/albert-xxlarge-spanish-finetuned-pos | [
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"no_re... | 3 | null | ---
license: apache-2.0
datasets:
- Dr-BERT/NACHOS
language:
- fr
library_name: transformers
tags:
- medical
- chemistry
- biomedical
- life science
---
<p align="center">
<img src="https://github.com/qanastek/DrBERT/blob/main/assets/logo.png?raw=true" alt="drawing" width="250"/>
</p>
# DrBERT: A Robust Pre-trained... | [
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"no_repe... | 7 | null | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-pubmed
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 remo... | [
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"no... | 68 | null | ---
license: other
tags:
- generated_from_trainer
model-index:
- name: NLP_Opt350M
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. -->
# NLP_Opt350M
This model is a... | [
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dccuchile/albert-tiny-spanish | [
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"tf",
"albert",
"pretraining",
"es",
"dataset:large_spanish_corpus",
"transformers",
"spanish",
"OpenCENIA"
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"no_repeat_ngr... | 393 | 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
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dccuchile/albert-xlarge-spanish | [
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"tf",
"albert",
"pretraining",
"es",
"dataset:large_spanish_corpus",
"transformers",
"spanish",
"OpenCENIA"
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"no_repeat_ngr... | 91 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
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dccuchile/bert-base-spanish-wwm-cased-finetuned-pawsx | [
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"no_rep... | 25 | null | ---
language: en
license: apache-2.0
library_name: diffusers
tags: []
datasets: huggan/few-shot-grumpy-cat
metrics: []
---
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
... | [
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dccuchile/bert-base-spanish-wwm-uncased-finetuned-mldoc | [
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"no_rep... | 39 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: QRDQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
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dccuchile/bert-base-spanish-wwm-uncased-finetuned-pawsx | [
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"no_rep... | 24 | null | ---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- animal
widget:
- text: a photo of a pssg wearing goggles
- text: a photo of a pssg sugar glider wearing goggles
---
# DreamBooth model for the pssg concept trained by phar... | [
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dccuchile/bert-base-spanish-wwm-uncased-finetuned-pos | [
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"transformers",
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] | token-classification | {
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"no_repeat... | 5 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO-MlpPolicy
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLan... | [
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dccuchile/bert-base-spanish-wwm-uncased-finetuned-xnli | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
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"no_rep... | 36 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
### Meryl_Stryfe_20221225_2230__4800_steps on Stable Diffusion via Dreambooth
#### model by NickKolok
This your the Stable Diffusion model fine-tuned the Meryl_Stryfe_20221225_2230__4800_steps concept taught to Stable Diffusion with Dreambooth.
#It can be use... | [
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dccuchile/distilbert-base-spanish-uncased-finetuned-mldoc | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | {
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"DistilBertForSequenceClassification"
],
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"max_length": null,
"min_length": null,
... | 27 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
### Meryl_Stryfe_20221225_2230__800_steps on Stable Diffusion via Dreambooth
#### model by NickKolok
This your the Stable Diffusion model fine-tuned the Meryl_Stryfe_20221225_2230__800_steps concept taught to Stable Diffusion with Dreambooth.
#It can be used ... | [
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dccuchile/distilbert-base-spanish-uncased-finetuned-ner | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"DistilBertForTokenClassification"
],
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"min_length": null,
... | 28 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
### Meryl_Stryfe_20221225_2230__1600_steps on Stable Diffusion via Dreambooth
#### model by NickKolok
This your the Stable Diffusion model fine-tuned the Meryl_Stryfe_20221225_2230__1600_steps concept taught to Stable Diffusion with Dreambooth.
#It can be use... | [
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... |
dccuchile/distilbert-base-spanish-uncased-finetuned-pos | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"DistilBertForTokenClassification"
],
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},
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... | 3 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
### meryl-stryfe-20221225-2230-2400-steps_1 on Stable Diffusion via Dreambooth
#### model by NickKolok
This your the Stable Diffusion model fine-tuned the meryl-stryfe-20221225-2230-2400-steps_1 concept taught to Stable Diffusion with Dreambooth.
#I... | [
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dccuchile/distilbert-base-spanish-uncased-finetuned-qa-mlqa | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
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"DistilBertForQuestionAnswering"
],
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"min_length": null,
... | 5 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
### Meryl_Stryfe_20221225_2230__3200_steps on Stable Diffusion via Dreambooth
#### model by NickKolok
This your the Stable Diffusion model fine-tuned the Meryl_Stryfe_20221225_2230__3200_steps concept taught to Stable Diffusion with Dreambooth.
#It can be use... | [
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dccuchile/distilbert-base-spanish-uncased-finetuned-xnli | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | {
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],
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"min_length": null,
... | 31 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
### Meryl_Stryfe_20221225_2230__4000_steps on Stable Diffusion via Dreambooth
#### model by NickKolok
This your the Stable Diffusion model fine-tuned the Meryl_Stryfe_20221225_2230__4000_steps concept taught to Stable Diffusion with Dreambooth.
#It can be use... | [
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0... |
dccuchile/distilbert-base-spanish-uncased | [
"pytorch",
"distilbert",
"fill-mask",
"es",
"dataset:large_spanish_corpus",
"transformers",
"spanish",
"OpenCENIA",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"DistilBertForMaskedLM"
],
"model_type": "distilbert",
"task_specific_params": {
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},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repea... | 670 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-v4
results: []
widget:
- text: "The process starts when the customer enters the shop. The customer then takes the product from the shelf. The customer then pays for the product and ... | [
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0.036... |
Chaddmckay/Cdm | [] | null | {
"architectures": null,
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"num_beams... | 0 | null | ---
license: apache-2.0
datasets:
- Dr-BERT/NACHOS
language:
- fr
library_name: transformers
tags:
- medical
- chemistry
- biomedical
- life science
widget:
- text: "Le patient est atteint d'une <mask>."
---
<p align="center">
<img src="https://github.com/qanastek/DrBERT/blob/main/assets/logo.png?raw=true" alt="draw... | [
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0... |
Chaima/TunBerto | [] | null | {
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"num_beams... | 0 | null | ---
language:
- fr
pipeline_tag: text-classification
widget:
- text: "Voila les limaces de retour. Ça faisait longtemps que j’en avais pas vu sur blé."
example_title: "Observation - limace"
- text: "C’est bon le maïs , pour la pyrale. Dans le 64, les larves les plus âgées prennent des force avant de se chrysalider et... | [
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ChaitanyaU/FineTuneLM | [] | null | {
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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... |
Chakita/Friends | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 8 | null | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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Chakita/KROBERT | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"masked-lm",
"fill-in-the-blanks",
"autotrain_compatible"
] | fill-mask | {
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],
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"no_repeat_ngra... | 7 | null | ---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- animal
widget:
- text: a photo of mimicat cat wearing a santa hat
---
# DreamBooth model for the mimicat concept trained by mjfang27 on the mjfang27/dreambooth-hackathon-i... | [
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Champion/test_upload_vox2_wavlm_epoch8 | [
"sidekit",
"audio"
] | null | {
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"num_beams... | 0 | null | ---
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
... | [
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0... |
CharlieChen/feedback-bigbird | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- google/fleurs
metrics:
- wer
model-index:
- name: Whisper Large Amharic FLEURS
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: google/fleurs am_et
type... | [
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... |
Charlotte77/model_test | [] | null | {
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"num_beams... | 0 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: i123smo
---
### Ismo Dreambooth model trained by duja1 with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Noteboo... | [
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Cheatham/xlm-roberta-base-finetuned | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | {
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... | 20 | null | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: hotel-image-classifier
results:
- task:
name: Hotel Image Classification
type: hotel-image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.8020833134651184
---
#... | [
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0.020300202071666718,
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0.006139899604022503,
0.... |
Cheatham/xlm-roberta-large-finetuned-d12 | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"XLMRobertaForSequenceClassification"
],
"model_type": "xlm-roberta",
"task_specific_params": {
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"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
... | 20 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-poet
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. -->
# distilgpt... | [
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Cheatham/xlm-roberta-large-finetuned-r01 | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | {
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],
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},
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"min_length": null,
... | 23 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
- recall
- precision
model-index:
- name: cold_reman_gpu_v1
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 comme... | [
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Ci/Pai | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- generated_from_keras_callback
model-index:
- name: study-ML
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. -->
# study-ML
This model is a fine-tuned version ... | [
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0.0... |
Ciruzzo/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | null | ---
license: mit
---
### June the Dog on Stable Diffusion
This is the `<june-the-dog>` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inference.i... | [
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0... |
CoachCarter/distilbert-base-uncased-finetuned-squad | [] | null | {
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"num_beams... | 0 | 2022-12-26T05:51:28Z | ---
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
... | [
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0.022818012163043022,... |
CodeNinja1126/bert-p-encoder | [
"pytorch"
] | null | {
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},
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"num_beams... | 3 | 2022-12-26T06:05:50Z | ---
license: apache-2.0
language: zh
inference: false
tags:
- text-generation
- dialogue-generation
- pytorch
- inference acceleration
- gpt2
- gpt3
---
# YuYan-Dialogue
YuYan is a series of Chinese language models with different size, developed by Fuxi AI lab, Netease.Inc. They are trained on a large Chinese novel d... | [
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Venkatakrishnan-Ramesh/Text_gen | [] | null | {
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"num_beams... | 0 | 2022-12-26T06:57:41Z | ---
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
... | [
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0.022479908540844917,... |
CoffeeAddict93/gpt1-call-of-the-wild | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"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... | [
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0.02... |
CoffeeAddict93/gpt2-call-of-the-wild | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 6 | 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... | [
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0.0309... |
CoffeeAddict93/gpt2-medium-call-of-the-wild | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"no_repeat_ngram_size... | 14 | 2022-12-26T07:03:56Z |
---
license: cc-by-4.0
metrics:
- bleu4
- meteor
- rouge-l
- bertscore
- moverscore
language: fr
datasets:
- lmqg/qag_frquad
pipeline_tag: text2text-generation
tags:
- questions and answers generation
widget:
- text: "Créateur » (Maker), lui aussi au singulier, « le Suprême Berger » (The Great Shepherd) ; de l'autre, ... | [
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... |
CoffeeAddict93/gpt2-medium-modest-proposal | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: model_headlines_news-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. -->
# model_headlines_new... | [
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0.... |
CoffeeAddict93/gpt2-modest-proposal | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 12 | 2022-12-26T07:13:42Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, t... | [
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0.0... |
CohleM/bert-nepali-tokenizer | [] | null | {
"architectures": null,
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},
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"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
license: mit
---
This is a reproduction of the following paper:
```
@inproceedings{katsumata-komachi-2020-stronger,
title = "Stronger Baselines for Grammatical Error Correction Using a Pretrained Encoder-Decoder Model",
author = "Katsumata, Satoru and
Komachi, Mamoru",
booktitle = "Proceedings o... | [
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... |
CohleM/mbert-nepali-tokenizer | [] | null | {
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"num_beams... | 0 | 2022-12-26T07:34:20Z |
---
license: cc-by-4.0
metrics:
- bleu4
- meteor
- rouge-l
- bertscore
- moverscore
language: ko
datasets:
- lmqg/qag_koquad
pipeline_tag: text2text-generation
tags:
- questions and answers generation
widget:
- text: "1990년 영화 《 남부군 》에서 단역으로 영화배우 첫 데뷔에 이어 같은 해 KBS 드라마 《지구인》에서 단역으로 출연하였고 이듬해 MBC 《여명의 눈동자》를 통해 단역으로 출연하였... | [
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0.... |
ComCom/gpt2 | [
"pytorch",
"gpt2",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"GPT2Model"
],
"model_type": "gpt2",
"task_specific_params": {
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},
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"no_repeat_ngram_size": nul... | 1 | 2022-12-26T07:49:49Z |
---
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... | [
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... |
cometrain/neurotitle-rugpt3-small | [
"pytorch",
"gpt2",
"text-generation",
"ru",
"en",
"dataset:All-NeurIPS-Papers-Scraper",
"transformers",
"Cometrain AutoCode",
"Cometrain AlphaML",
"license:mit"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 20 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: article-generator
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. -->
# article-generator
This ... | [
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Connor/DialoGPT-small-rick | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
language:
- en
license: apache-2.0
tags:
- t5-small
- text2text-generation
- natural language generation
- conversational system
- task-oriented dialog
datasets:
- ConvLab/multiwoz21
metrics:
- Slot Error Rate
- sacrebleu
model-index:
- name: t5-small-nlg-user-multiwoz21
results:
- task:
type: text2text-... | [
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Connorvr/TeachingGen | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:mit"
] | text-generation | {
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],
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"no_repeat_ngram_size... | 4 | 2022-12-26T08:13:35Z | ---
language:
- zh
tags:
- conditional text generation
- data augmentation
license: apache-2.0
datasets:
- beyond/chinese_clean_passages_80m
widget:
- text: "[mask]疫情[mask]公园[mask]散步[mask]"
example_title: "案例1"
- text: "今天[mask]篮球[mask]学校[mask]"
example_title: "案例2"
- text: "[mask]感染新冠[mask]身体不舒服[mask]多休息[mask]... | [
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ConstellationBoi/Oop | [] | null | {
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"num_beams... | 0 | 2022-12-26T08:15:50Z | ---
license: agpl-3.0
---
# WD Unofficial Releases
All releases in this repo are _unofficial_ releases. In short, every model you see here are preview releases of models currently being developed and/or trained.
## Important Info
![Example](https://huggingface.co/waifu-diffusion/unofficial-releases/resolve/main/wd1... | [
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0.0... |
Contrastive-Tension/BERT-Base-CT-STSb | [
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
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],
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"no_repeat_ngram_size": nul... | 5 | null |
---
license: cc-by-4.0
metrics:
- bleu4
- meteor
- rouge-l
- bertscore
- moverscore
language: de
datasets:
- lmqg/qg_dequad
pipeline_tag: text2text-generation
tags:
- answer extraction
widget:
- text: "Sommerzeit <hl> Frühling <hl>: Umstellung von Normalzeit auf Sommerzeit – die Uhr wird um eine Stunde ''vor''gestellt... | [
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0.012... |
Contrastive-Tension/BERT-Base-NLI-CT | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
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"no_repeat_ngram_size... | 9 | 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
... | [
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... |
Contrastive-Tension/BERT-Large-CT-STSb | [
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
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"no_repeat_ngram_size": nul... | 7 | 2022-12-26T08:43:40Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conl... | [
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0.03... |
CouchCat/ma_ner_v6_distil | [
"pytorch",
"distilbert",
"token-classification",
"en",
"transformers",
"ner",
"license:mit",
"autotrain_compatible"
] | token-classification | {
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"DistilBertForTokenClassification"
],
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},
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... | 6 | null | ---
language:
- en
license: apache-2.0
tags:
- t5-small
- text2text-generation
- natural language understanding
- conversational system
- task-oriented dialog
datasets:
- ConvLab/multiwoz21
metrics:
- Dialog acts Accuracy
- Dialog acts F1
model-index:
- name: t5-small-nlu-all-multiwoz21-context3
results:
- task:
... | [
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0.040... |
Culmenus/opus-mt-de-is-finetuned-de-to-is | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MarianMTModel"
],
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"no_repeat_ngram_size... | 1 | 2022-12-26T10:39:08Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- collection3
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: rubert-finetuned-collection3
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: collection3
type: collectio... | [
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DTAI-KULeuven/robbertje-1-gb-merged | [
"pytorch",
"roberta",
"fill-mask",
"nl",
"dataset:oscar",
"dataset:oscar (NL)",
"dataset:dbrd",
"dataset:lassy-ud",
"dataset:europarl-mono",
"dataset:conll2002",
"arxiv:2101.05716",
"transformers",
"Dutch",
"Flemish",
"RoBERTa",
"RobBERT",
"RobBERTje",
"license:mit",
"autotrain_c... | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
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},
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"no_repeat_ngra... | 1 | null | ---
language: tr
---
Trained on publicly-available audiobook data by anonymous contributors. | [
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DTAI-KULeuven/robbertje-1-gb-non-shuffled | [
"pytorch",
"roberta",
"fill-mask",
"nl",
"dataset:oscar",
"dataset:dbrd",
"dataset:lassy-ud",
"dataset:europarl-mono",
"dataset:conll2002",
"arxiv:2101.05716",
"transformers",
"Dutch",
"Flemish",
"RoBERTa",
"RobBERT",
"RobBERTje",
"license:mit",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngra... | 53 | 2022-12-26T14:06:31Z |
---
language: cz
---
**Optical Character Recognition made seamless & accessible to anyone, powered by PyTorch**
## Task: recognition
### Example usage:
```python
>>> from doctr.io import DocumentFile
>>> from doctr.models import ocr_predictor, from_hub
>>> img = DocumentFile.from_images(['<image_path>'])
>>> # Load... | [
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alexandrainst/da-binary-emotion-classification-base | [
"pytorch",
"tf",
"safetensors",
"bert",
"text-classification",
"da",
"transformers",
"license:cc-by-sa-4.0"
] | text-classification | {
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"no_rep... | 1,066 | 2022-12-26T14:18:20Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: sdcid
---
### benjamincode Dreambooth model trained by tzvc with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab No... | [
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Daivakai/DialoGPT-small-saitama | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 9 | 2022-12-26T15:12:15Z | ---
library_name: stable-baselines3
tags:
- SpaceInvadersNoFrameskip-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
... | [
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DanL/scientific-challenges-and-directions | [
"pytorch",
"bert",
"text-classification",
"en",
"dataset:DanL/scientific-challenges-and-directions-dataset",
"arxiv:2108.13751",
"transformers",
"generated_from_trainer"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
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"no_rep... | 134 | 2022-12-26T15:32:33Z | ---
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... | [
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Darren/darren | [
"pytorch"
] | null | {
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"num_beams... | 0 | 2022-12-26T16:07:28Z | ---
tags:
- generated_from_keras_callback
model-index:
- name: bert-turkish-from-scratch-2
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. -->
# bert-turkish-from-scratch-... | [
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0.... |
DarshanDeshpande/marathi-distilbert | [
"pytorch",
"tf",
"distilbert",
"fill-mask",
"mr",
"dataset:Oscar Corpus, News, Stories",
"arxiv:1910.01108",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"DistilBertForMaskedLM"
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"no_repea... | 14 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### shanmukh Dreambooth model trained by hurricane18 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 ... | [
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0.0... |
DataikuNLP/average_word_embeddings_glove.6B.300d | [
"arxiv:1908.10084",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"license:apache-2.0"
] | sentence-similarity | {
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"num_beams... | 0 | null | ---
tags:
- conversational
---
# DialoGPT-medium-Soraka | [
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0.... |
DavidSpaceG/MSGIFSR | [] | null | {
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"num_beams... | 0 | 2022-12-26T17:10:33Z | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: Qtable_taxi
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Taxi-v3
type: Taxi-v3
metrics:
- type: mean_reward
value: 7.56 +/- 2.... | [
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... |
Davlan/bert-base-multilingual-cased-finetuned-luganda | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 16 | null | ---
license: unknown
---
da ningguang and saren pt file | [
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Davlan/bert-base-multilingual-cased-masakhaner | [
"pytorch",
"tf",
"bert",
"token-classification",
"arxiv:2103.11811",
"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... | 88 | null | ---
tags:
- generated_from_keras_callback
model-index:
- name: bert-large-uncased-finetuned-edos
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. -->
# bert-large-uncased-f... | [
-0.016438614577054977,
0.0008556564571335912,
0.004846465773880482,
0.018798233941197395,
0.04232462868094444,
0.013048212043941021,
-0.01629040017724037,
-0.021652963012456894,
-0.0118754543364048,
0.03890426829457283,
0.008100052364170551,
-0.019330432638525963,
0.036048416048288345,
0.0... |
Davlan/m2m100_418M-eng-yor-mt | [
"pytorch",
"m2m_100",
"text2text-generation",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"M2M100ForConditionalGeneration"
],
"model_type": "m2m_100",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no... | 9 | 2022-12-26T18:07:06Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Sangonomiya_Kokomi Dreambooth model trained by Falon 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 Co... | [
-0.02928198128938675,
-0.03197334706783295,
-0.02401130087673664,
0.03393319994211197,
0.02350456267595291,
0.01748180016875267,
0.0013194190105423331,
0.0009612917201593518,
-0.018244853243231773,
0.0370299331843853,
0.03969653323292732,
0.021987885236740112,
-0.012808986939489841,
0.0244... |
Davlan/mT5_base_yoruba_adr | [
"pytorch",
"mt5",
"text2text-generation",
"arxiv:2003.10564",
"arxiv:2103.08647",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 5 | 2022-12-26T18:15:16Z | ---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: f123ranck
---
### Franck Dreambooth model trained by duja1 with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Not... | [
-0.04026312008500099,
-0.019266454502940178,
-0.010320122353732586,
0.02735023759305477,
0.02723878063261509,
0.017559779807925224,
-0.03812727332115173,
-0.022484082728624344,
-0.009386679157614708,
0.047328587621450424,
0.04486745595932007,
0.025127282366156578,
-0.03955705463886261,
0.0... |
Davlan/xlm-roberta-base-finetuned-amharic | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 401 | 2022-12-26T18:30:51Z | ---
license: creativeml-openrail-m
tags:
- pytorch
- diffusers
- stable-diffusion
- text-to-image
- diffusion-models-class
- dreambooth-hackathon
- food
widget:
- text: ctm curry dish in a rustic modern farmhouse kitchen
---
# DreamBooth model for the ctm concept trained by jnick on the jnick/chicken-tikka-masala data... | [
-0.014855523593723774,
-0.013742257840931416,
-0.004157965537160635,
0.027501387521624565,
0.0319940559566021,
0.004951923154294491,
0.0006505575147457421,
0.014901211485266685,
-0.007500700652599335,
0.062152814120054245,
0.03099849447607994,
0.0002074931253446266,
-0.01094089262187481,
0... |
Davlan/xlm-roberta-base-finetuned-english | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 5 | 2022-12-26T18:32:54Z | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Example Fine-Tuned Model for Unit 2 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
Describe your model here
## Usage
```python
from diffusers import DDPMPipeline
p... | [
-0.0053221057169139385,
-0.020001105964183807,
0.01360083557665348,
0.02361966110765934,
0.030540848150849342,
0.011326749809086323,
0.0019133356399834156,
-0.0028334076050668955,
-0.011814937926828861,
0.051091767847537994,
0.012836132198572159,
0.004713037516921759,
0.02616763487458229,
... |
Davlan/xlm-roberta-base-finetuned-hausa | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 234 | 2022-12-26T18:33:48Z |
---
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... | [
-0.042821384966373444,
-0.0016423756023868918,
-0.007593493442982435,
0.04969772323966026,
0.030114945024251938,
0.021240584552288055,
-0.024167338386178017,
-0.03529595583677292,
-0.006546249613165855,
0.05080442130565643,
0.02022688277065754,
-0.00977905374020338,
0.019136426970362663,
0... |
Davlan/xlm-roberta-base-finetuned-somali | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 8 | 2022-12-26T18:53:47Z | ---
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
... | [
-0.037337325513362885,
-0.0026042303070425987,
-0.005092873238027096,
0.025641528889536858,
0.04590551555156708,
-0.021611258387565613,
-0.00538555858656764,
-0.028094695881009102,
-0.033391647040843964,
0.06634137034416199,
0.032634541392326355,
-0.023776918649673462,
0.02257656864821911,
... |
Dawn576/Dawn | [] | 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: sdbib
---
### sd-bib Dreambooth model trained by tzvc with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook... | [
-0.03000630810856819,
-0.03433443233370781,
-0.018451161682605743,
0.04036131128668785,
0.018636224791407585,
0.028193650767207146,
-0.03761393204331398,
-0.02289867401123047,
-0.0142599418759346,
0.04097181186079979,
0.031420037150382996,
0.016145875677466393,
-0.02112814038991928,
0.0397... |
Declan/Breitbart_model_v8 | [
"pytorch",
"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... | 3 | null | ---
license: creativeml-openrail-m
tags:
- text-to-image
widget:
- text: b123oy
---
### boys Dreambooth model trained by duja1 with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
You run your new concept via `diffusers` [Colab Notebook... | [
-0.04663589969277382,
-0.011178335174918175,
-0.014877273701131344,
0.03519978001713753,
0.033205676823854446,
0.011270610615611076,
-0.035645656287670135,
-0.021793276071548462,
-0.013210822828114033,
0.04151833802461624,
0.03958597406744957,
0.015713099390268326,
-0.022861335426568985,
0... |
Declan/CNN_model_v1 | [
"pytorch",
"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... | 7 | 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... | [
-0.016356335952878,
-0.01694779098033905,
-0.006693437695503235,
0.029717661440372467,
0.05175158008933067,
-0.017932668328285217,
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-0.008391770534217358,
-0.05916915088891983,
0.05442838370800018,
-0.0015405084704980254,
-0.00913386233150959,
0.025810828432440758,
0.... |
Declan/CNN_model_v3 | [
"pytorch",
"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... | 3 | null | ---
tags:
- CartPole-v1
- reinforcement-learning
model-index:
- name: A2C-CartPole-v1
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CartPole-v1
type: CartPole-v1
metrics:
- type: mean_reward
value: 500.00 +/- 0.00
name: mean... | [
-0.019066322594881058,
-0.011856593191623688,
-0.0023203790187835693,
0.026295607909560204,
0.03968795761466026,
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0.06718363612890244,
-0.0004307857307139784,
-0.0003387737669982016,
-0.004918457008898258... |
Declan/FoxNews_model_v4 | [
"pytorch",
"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... | 7 | null | ---
license: mit
tags:
- pytorch
- diffusers
- unconditional-image-generation
- diffusion-models-class
---
# Example Fine-Tuned Model for Unit 2 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
Describe your model here
## Usage
```python
from diffusers import DDPMPipeline
p... | [
-0.0038342971820384264,
-0.02008110098540783,
0.013601386919617653,
0.025868767872452736,
0.031730376183986664,
0.01167336106300354,
0.0015706522390246391,
-0.0008909797761589289,
-0.006735463161021471,
0.04647005721926689,
0.011391326785087585,
0.009437604807317257,
0.021431008353829384,
... |
Declan/FoxNews_model_v6 | [
"pytorch",
"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... | 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
... | [
-0.0388115793466568,
-0.002161865122616291,
-0.002924318891018629,
0.026470081880688667,
0.04355528950691223,
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-0.006916424725204706,
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0.06886693835258484,
0.03536203131079674,
-0.02080817148089409,
0.02055864781141281,
0.001... |
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