modelId stringlengths 4 111 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringlengths 5 30 ⌀ | author stringlengths 2 34 ⌀ | config null | securityStatus null | id stringlengths 4 111 | likes int64 0 9.53k | downloads int64 2 73.6M | library_name stringlengths 2 84 ⌀ | created timestamp[us] | card stringlengths 101 901k | card_len int64 101 901k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BM-K/KoSimCSE-bert-multitask | 2023-04-26T04:21:02.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"feature-extraction",
"korean",
"ko",
"endpoints_compatible",
"region:us"
] | feature-extraction | BM-K | null | null | BM-K/KoSimCSE-bert-multitask | 6 | 2,404 | transformers | 2022-06-01T14:51:47 | ---
language: ko
tags:
- korean
---
https://github.com/BM-K/Sentence-Embedding-is-all-you-need
# Korean-Sentence-Embedding
🍭 Korean sentence embedding repository. You can download the pre-trained models and inference right away, also it provides environments where individuals can train models.
## Quick tour
```py... | 2,586 | [
[
-0.021148681640625,
-0.04693603515625,
0.03558349609375,
0.02301025390625,
-0.0265045166015625,
0.00499725341796875,
-0.0209808349609375,
0.0012331008911132812,
0.0252685546875,
0.028167724609375,
-0.051025390625,
-0.053802490234375,
-0.04766845703125,
0.005... |
sander-wood/text-to-music | 2023-08-19T06:17:31.000Z | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"music",
"en",
"arxiv:2211.11216",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | sander-wood | null | null | sander-wood/text-to-music | 115 | 2,397 | transformers | 2022-11-21T08:43:55 | ---
license: mit
language: en
widget:
- text: This is a traditional Irish dance music.
inference:
parameters:
top_p: 0.9
max_length: 1024
do_sample: true
tags:
- music
---
# Exploring the Efficacy of Pre-trained Checkpoints in Text-to-Music Generation Task
## Model description
This language-music model ... | 9,470 | [
[
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0.02569580078125,
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0.040313720703125,
0.0291290283203125,
-0.054656982421875,
-0.054351806640625,
-0.034820556640625,... |
cvssp/audioldm2 | 2023-08-29T14:41:37.000Z | [
"diffusers",
"arxiv:2308.05734",
"license:cc-by-nc-nd-4.0",
"has_space",
"diffusers:AudioLDM2Pipeline",
"region:us"
] | null | cvssp | null | null | cvssp/audioldm2 | 10 | 2,394 | diffusers | 2023-08-21T11:00:28 | ---
license: cc-by-nc-nd-4.0
---
# AudioLDM 2
AudioLDM 2 is a latent text-to-audio diffusion model capable of generating realistic audio samples given any text input.
It is available in the 🧨 Diffusers library from v0.21.0 onwards.
# Model Details
AudioLDM 2 was proposed in the paper [AudioLDM 2: Learning Holisti... | 5,370 | [
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-0.006488... |
vinvino02/glpn-kitti | 2022-04-14T11:52:40.000Z | [
"transformers",
"pytorch",
"glpn",
"depth-estimation",
"vision",
"arxiv:2201.07436",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | depth-estimation | vinvino02 | null | null | vinvino02/glpn-kitti | 4 | 2,391 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- vision
- depth-estimation
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/teapot.jpg
example_title: Teapot
- src: https://huggingface.co/datasets/m... | 3,244 | [
[
-0.047149658203125,
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0.03167724609375,
0.033538818359375,
-0.061737060546875,
-0.033111572265625,
-0.035125732421875,
-... |
sensenova/piccolo-base-zh | 2023-09-08T05:38:47.000Z | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"mteb",
"model-index",
"endpoints_compatible",
"region:us"
] | feature-extraction | sensenova | null | null | sensenova/piccolo-base-zh | 22 | 2,391 | transformers | 2023-09-04T07:04:26 | ---
tags:
- mteb
model-index:
- name: piccolo-base-zh
results:
- task:
type: STS
dataset:
type: C-MTEB/AFQMC
name: MTEB AFQMC
config: default
split: validation
revision: None
metrics:
- type: cos_sim_pearson
value: 49.16558217326158
- type: cos_sim_spearman
... | 32,601 | [
[
-0.033935546875,
-0.048797607421875,
0.0152587890625,
0.0227508544921875,
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0.02203369140625,
0.010284423828125,
-0.0241851806640625,
-0.0445556640625,
-0.042572021484375,
-0.01... |
Maseshi/Animistatics | 2023-03-08T03:02:51.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Maseshi | null | null | Maseshi/Animistatics | 19 | 2,388 | diffusers | 2023-01-18T17:02:31 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
# Animistatics
Welcome to Animistatics - a latent diffusion model ... | 3,838 | [
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0.03057861328125,
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0.0157318115234375,
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0.01678466796875,
0.032806396484375,
-0.052337646484375,
-0.049468994140625,
-0.043365478515625,
-0.012... |
stablediffusionapi/abyssorangemix2nsfw | 2023-05-19T05:02:25.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/abyssorangemix2nsfw | 2 | 2,385 | diffusers | 2023-03-01T05:04:00 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# AbyssOrangeMix2NSFW API Inference
## G... | 2,448 | [
[
-0.035675048828125,
-0.050140380859375,
0.036163330078125,
0.0307769775390625,
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0.0257415771484375,
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0.03436279296875,
0.0509033203125,
-0.06402587890625,
-0.058349609375,
-0.02593994140625,
-0.00... |
goofyai/cyborg_style_xl | 2023-08-14T16:55:19.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:apache-2.0",
"has_space",
"region:us"
] | text-to-image | goofyai | null | null | goofyai/cyborg_style_xl | 10 | 2,384 | diffusers | 2023-08-14T16:17:39 | ---
license: apache-2.0
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: cyborg style, cyborg, android
widget:
- text: a llama cyborg style
---
# Cyborg Style SDXL
## Support me in upgrading my 3060 to a 40xx GPU as my current GPU struggl... | 688 | [
[
-0.058349609375,
-0.0239105224609375,
0.052825927734375,
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0.015350341796875,
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0.0218353271484375,
0.02459716796875,
-0.044403076171875,
-0.02490234375,
-0.035369873046875,
-0.00395... |
livingbox/model-text-oct-12 | 2023-10-12T08:05:16.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | livingbox | null | null | livingbox/model-text-oct-12 | 0 | 2,379 | diffusers | 2023-10-12T07:59:00 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### model-text-oct-12 Dreambooth model trained by livingbox 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... | 508 | [
[
-0.026763916015625,
-0.07037353515625,
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0.03363037109375,
-0.0261688232421875,
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0.0269622802734375,
-0.031524658203125,
0.050445556640625,
0.00811004638671875,
-0.02587890625,
-0.0222320556640625,
-0.0276031494140625,
-0.0... |
stabilityai/japanese-stablelm-instruct-gamma-7b | 2023-10-30T06:37:21.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"japanese-stablelm",
"causal-lm",
"ja",
"arxiv:2310.06825",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | stabilityai | null | null | stabilityai/japanese-stablelm-instruct-gamma-7b | 33 | 2,379 | transformers | 2023-10-16T08:55:06 | ---
language:
- ja
tags:
- japanese-stablelm
- causal-lm
pipeline_tag: text-generation
license: apache-2.0
extra_gated_fields:
Name: text
Email: text
Country: text
Organization or Affiliation: text
I allow Stability AI to contact me about information related to its models and research: checkbox
---
# Japanes... | 5,342 | [
[
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-0.06396484375,
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0.01593017578125,
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0.0262908935546875,
-0.036041259765625,
-0.04632568359375,
-0.0423583984375,
0.00... |
IDEA-CCNL/Randeng-BART-139M-SUMMARY | 2023-05-26T04:12:47.000Z | [
"transformers",
"pytorch",
"safetensors",
"bart",
"text2text-generation",
"zh",
"arxiv:2209.02970",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text2text-generation | IDEA-CCNL | null | null | IDEA-CCNL/Randeng-BART-139M-SUMMARY | 9 | 2,376 | transformers | 2022-04-26T12:24:42 | ---
language:
- zh
license: apache-2.0
inference: true
widget:
- text: 'summary: 在北京冬奥会自由式滑雪女子坡面障碍技巧决赛中，中国选手谷爱凌夺得银牌。祝贺谷爱凌！今天上午，自由式滑雪女子坡面障碍技巧决赛举行。决赛分三轮进行，取选手最佳成绩排名决出奖牌。第一跳，中国选手谷爱凌获得69.90分。在12位选手中排名第三。完成动作后，谷爱凌又扮了个鬼脸，甚是可爱。第二轮中，谷爱凌在道具区第三个障碍处失误，落地时摔倒。获得16.98分。网友：摔倒了也没关系，继续加油！在第二跳失误摔倒的情况下，谷爱凌顶住压力，第三跳稳稳发挥，流畅落地！获得86.23分！... | 3,167 | [
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0.02178955078125,
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-0.035552978515625,
0.00638... |
hfl/chinese-alpaca-2-7b-16k | 2023-08-31T15:42:19.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us",
"has_space"
] | text-generation | hfl | null | null | hfl/chinese-alpaca-2-7b-16k | 13 | 2,376 | transformers | 2023-08-31T13:47:27 | ---
license: apache-2.0
---
# Chinese-Alpaca-2-7B-16K
**This is the full Chinese-Alpaca-2-7B-16K (context size 16K)，model，which can be loaded directly for inference and full-parameter training.**
**Related models👇**
* Long context base models (16K)
* [Chinese-LLaMA-2-7B-16K (full model)](https://huggingface.co/zi... | 3,257 | [
[
-0.034271240234375,
-0.04559326171875,
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0.026458740234375,
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-0.04296875,
-0.044097900390625,
0.00645828... |
sail-rvc/Beyonce2333333 | 2023-07-14T07:19:07.000Z | [
"transformers",
"rvc",
"sail-rvc",
"audio-to-audio",
"endpoints_compatible",
"region:us"
] | audio-to-audio | sail-rvc | null | null | sail-rvc/Beyonce2333333 | 0 | 2,375 | transformers | 2023-07-14T07:18:51 |
---
pipeline_tag: audio-to-audio
tags:
- rvc
- sail-rvc
---
# Beyonce2333333
## RVC Model
This model repo was automatically generated.
Date: 2023-07-14 07:19:07
Bot Name: juuxnscrap
Model Type: RVC
Source: https://huggingface.co/juuxn/RVCModels/
Reason: Converting int... | 382 | [
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-0.038360595703125,
-0.034759521484375... |
MMG/xlm-roberta-large-ner-spanish | 2023-06-05T08:18:20.000Z | [
"transformers",
"pytorch",
"safetensors",
"xlm-roberta",
"token-classification",
"es",
"dataset:CoNLL-2002",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | MMG | null | null | MMG/xlm-roberta-large-ner-spanish | 17 | 2,373 | transformers | 2022-03-02T23:29:04 | ---
language:
- es
datasets:
- CoNLL-2002
widget:
- text: "Las oficinas de MMG están en Las Rozas."
---
# xlm-roberta-large-ner-spanish
This model is a XLM-Roberta-large model fine-tuned for Named Entity Recognition (NER) over the Spanish portion of the CoNLL-2002 dataset. Evaluating it over the test subset of th... | 422 | [
[
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-0.060272216796875,
0.037872314453125,
0.03369140625,
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-0.0210113525390625,
-0.048797607421875,
0.022125244140625,
0.038238525390625,
-0.04168701171875,
-0.04046630859375,
-0.05908203125,
0.03887939... |
kykim/albert-kor-base | 2021-01-22T00:27:49.000Z | [
"transformers",
"pytorch",
"tf",
"albert",
"fill-mask",
"ko",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | kykim | null | null | kykim/albert-kor-base | 3 | 2,373 | transformers | 2022-03-02T23:29:05 | ---
language: ko
---
# Albert base model for Korean
* 70GB Korean text dataset and 42000 lower-cased subwords are used
* Check the model performance and other language models for Korean in [github](https://github.com/kiyoungkim1/LM-kor)
```python
from transformers import BertTokenizerFast, AlbertModel
tokenizer_alb... | 456 | [
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0.042724609375,
-0.036102294921875,
-0.048675537109375,
-0.04595947265625,
... |
Salesforce/blip2-flan-t5-xl-coco | 2023-09-13T08:46:43.000Z | [
"transformers",
"pytorch",
"blip-2",
"visual-question-answering",
"vision",
"image-to-text",
"image-captioning",
"en",
"arxiv:2301.12597",
"arxiv:2210.11416",
"license:mit",
"region:us"
] | image-to-text | Salesforce | null | null | Salesforce/blip2-flan-t5-xl-coco | 10 | 2,373 | transformers | 2023-02-07T15:37:02 | ---
language: en
license: mit
tags:
- vision
- image-to-text
- image-captioning
- visual-question-answering
pipeline_tag: image-to-text
inference: false
---
# BLIP-2, Flan T5-xl, fine-tuned on COCO
BLIP-2 model, leveraging [Flan T5-xl](https://huggingface.co/google/flan-t5-xl) (a large language model).
It was introdu... | 3,240 | [
[
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0.046539306640625,
-0.025970458984375,
-0.015411376953125,
-0.0492858886... |
aaraki/vit-base-patch16-224-in21k-finetuned-cifar10 | 2022-03-30T01:41:47.000Z | [
"transformers",
"pytorch",
"tensorboard",
"vit",
"image-classification",
"generated_from_trainer",
"dataset:cifar10",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | aaraki | null | null | aaraki/vit-base-patch16-224-in21k-finetuned-cifar10 | 7 | 2,371 | transformers | 2022-03-30T00:18:26 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cifar10
metrics:
- accuracy
model-index:
- name: vit-base-patch16-224-in21k-finetuned-cifar10
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: cifar10
type: cifar10
args: plain_t... | 1,755 | [
[
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0.0208892822265625,
-0.046142578125,
-0.036651611328125,
-0.045562744140625,
-0.01... |
sentence-transformers/multi-qa-MiniLM-L6-dot-v1 | 2023-11-02T09:20:05.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"bert",
"feature-extraction",
"sentence-similarity",
"en",
"endpoints_compatible",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/multi-qa-MiniLM-L6-dot-v1 | 10 | 2,370 | sentence-transformers | 2022-03-02T23:29:05 | ---
language:
- en
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# multi-qa-MiniLM-L6-dot-v1
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and was designed for **sem... | 8,439 | [
[
-0.032501220703125,
-0.0628662109375,
0.0311431884765625,
0.005069732666015625,
-0.007091522216796875,
-0.0223388671875,
-0.0070648193359375,
-0.01537322998046875,
0.0207672119140625,
0.0213165283203125,
-0.041229248046875,
-0.041839599609375,
-0.042999267578125... |
dream-textures/texture-diffusion | 2023-01-27T13:15:28.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:openrail++",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | dream-textures | null | null | dream-textures/texture-diffusion | 106 | 2,370 | diffusers | 2022-12-25T21:29:56 | ---
license: openrail++
tags:
- text-to-image
- stable-diffusion
widget:
- text: "pbr brick wall"
example_title: "Brick Wall"
- text: "pbr cobblestone path"
example_title: "Cobblestone Path"
---
# Texture Diffusion
This DreamBooth model is fine-tuned for diffuse textures. It produces flat textures with... | 1,670 | [
[
-0.0103759765625,
-0.061859130859375,
0.041290283203125,
0.05389404296875,
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0.01019287109375,
-0.02593994140625,
0.020965576171875,
0.04150390625,
-0.03338623046875,
-0.06365966796875,
-0.0228118896484375,
-0.032165527... |
timm/eva02_large_patch14_clip_336.merged2b_s6b_b61k | 2023-04-10T22:06:27.000Z | [
"open_clip",
"zero-shot-image-classification",
"clip",
"license:mit",
"region:us",
"has_space"
] | zero-shot-image-classification | timm | null | null | timm/eva02_large_patch14_clip_336.merged2b_s6b_b61k | 0 | 2,367 | open_clip | 2023-04-10T22:01:27 | ---
tags:
- zero-shot-image-classification
- clip
library_tag: open_clip
license: mit
---
# Model card for eva02_large_patch14_clip_336.merged2b_s6b_b61k
| 154 | [
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0.001... |
vinai/bartpho-word-base | 2022-10-22T09:05:55.000Z | [
"transformers",
"pytorch",
"mbart",
"feature-extraction",
"arxiv:2109.09701",
"endpoints_compatible",
"region:us",
"has_space"
] | feature-extraction | vinai | null | null | vinai/bartpho-word-base | 2 | 2,363 | transformers | 2022-08-26T09:06:01 | # <a name="introduction"></a> BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese
The pre-trained model `vinai/bartpho-word-base` is the "base" variant of `BARTpho-word`, which uses the "base" architecture and pre-training scheme of the sequence-to-sequence denoising model [BART](https://github.com/pytorc... | 975 | [
[
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-0.00531768798828125,
-0.016204833984375,
0.0096435546875,
0.06597900390625,
-0.034759521484375,
-0.06207275390625,
-0.044097900390625,
... |
tawkit/phil-pyannote-speaker-diarization-endpoint | 2022-11-13T00:53:04.000Z | [
"pyannote-audio",
"pyannote",
"pyannote-audio-pipeline",
"audio",
"voice",
"speech",
"speaker",
"speaker-diarization",
"speaker-change-detection",
"voice-activity-detection",
"overlapped-speech-detection",
"automatic-speech-recognition",
"dataset:ami",
"dataset:dihard",
"dataset:voxconve... | automatic-speech-recognition | tawkit | null | null | tawkit/phil-pyannote-speaker-diarization-endpoint | 6 | 2,360 | pyannote-audio | 2022-11-13T00:52:41 | ---
tags:
- pyannote
- pyannote-audio
- pyannote-audio-pipeline
- audio
- voice
- speech
- speaker
- speaker-diarization
- speaker-change-detection
- voice-activity-detection
- overlapped-speech-detection
- automatic-speech-recognition
datasets:
- ami
- dihard
- voxconverse
- aishell
- repere
- voxceleb
license: mit
-... | 7,833 | [
[
-0.0562744140625,
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0.034332275390625,
0.025360107421875,
-0.03277587890625,
-0.053131103515625,
-0.0323486328125,
0.... |
stablediffusionapi/sdxlceshi | 2023-10-09T18:26:54.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/sdxlceshi | 1 | 2,360 | diffusers | 2023-10-09T18:25:01 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# sdxlceshi API Inference
## Get API Key
Get API key f... | 2,430 | [
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-0.029296875,
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-0.019... |
etalab-ia/camembert-base-squadFR-fquad-piaf | 2023-03-27T17:24:27.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"camembert",
"question-answering",
"fr",
"dataset:piaf",
"dataset:FQuAD",
"dataset:SQuAD-FR",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | etalab-ia | null | null | etalab-ia/camembert-base-squadFR-fquad-piaf | 24 | 2,359 | transformers | 2022-03-02T23:29:05 | ---
language: fr
datasets:
- piaf
- FQuAD
- SQuAD-FR
widget:
- text: "Comment s'appelle le portail open data du gouvernement ?"
context: "Etalab est une administration publique française qui fait notamment office de Chief Data Officer de l'État et coordonne la conception et la mise en œuvre de sa stratégie dans le do... | 4,998 | [
[
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0.033660888671875,
-0.053619384765625,
-0.041656494140625,
-0.0217437744140625,
0.01... |
mekabu/MagicalMix_v2 | 2023-03-03T03:01:13.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"region:us",
"has_space"
] | text-to-image | mekabu | null | null | mekabu/MagicalMix_v2 | 42 | 2,358 | diffusers | 2023-03-03T01:17:13 | ---
license: creativeml-openrail-m
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
library_name: diffusers
---
<style>
* {
box-sizing: border-box;
}
.column {
float: left;
width: 100%;
padding: 5px;
}
.column2 {
float: left;
width: 50%;
padding: 5p... | 3,015 | [
[
-0.059844970703125,
-0.043304443359375,
0.003662109375,
0.027587890625,
-0.0271759033203125,
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-0.0008907318115234375,
-0.0127716064453125,
0.058807373046875,
0.0306396484375,
-0.07806396484375,
-0.04522705078125,
-0.0396728515625,
0.0093... |
facebook/encodec_48khz | 2023-09-06T19:51:48.000Z | [
"transformers",
"pytorch",
"safetensors",
"encodec",
"feature-extraction",
"arxiv:2210.13438",
"license:mit",
"has_space",
"region:us"
] | feature-extraction | facebook | null | null | facebook/encodec_48khz | 9 | 2,358 | transformers | 2023-06-12T16:10:51 | ---
inference: false
license: mit
---
# Model Card for EnCodec
This model card provides details and information about EnCodec, a state-of-the-art real-time audio codec developed by Meta AI.
## ... | 8,292 | [
[
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0.0281982421875,
0.024139404296875,
-0.05450439453125,
-0.040252685546875,
-0.04217529296875,
0... |
Yntec/theallysMixIV-verisimilar | 2023-07-30T04:12:07.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"TheAlly",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/theallysMixIV-verisimilar | 3 | 2,356 | diffusers | 2023-07-21T18:11:23 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- TheAlly
---
# TheAlly's Mix IV: Verisimilar
Original page:
https://civitai.com/models/40369/theallys-mix-iv-verisimilar | 293 | [
[
-0.02142333984375,
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0.043212890625,
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-0.0194549560546875,
-0.0001462697... |
fabriceyhc/bert-base-uncased-imdb | 2022-08-30T00:40:47.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"sibyl",
"dataset:imdb",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | fabriceyhc | null | null | fabriceyhc/bert-base-uncased-imdb | 0 | 2,351 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- generated_from_trainer
- sibyl
datasets:
- imdb
metrics:
- accuracy
model-index:
- name: bert-base-uncased-imdb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
metrics:
- na... | 1,993 | [
[
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-0.035552978515625,
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0.0302734375,
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-0.039764404296875,
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... |
patrickvonplaten/tiny-wav2vec2-no-tokenizer | 2022-11-12T18:10:24.000Z | [
"transformers",
"pytorch",
"tf",
"wav2vec2",
"en",
"arxiv:2006.11477",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | patrickvonplaten | null | null | patrickvonplaten/tiny-wav2vec2-no-tokenizer | 3 | 2,351 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
---
# Model Card for tiny-wav2vec2-no-tokenizer
# Model Details
## Model Description
- **Developed by:** More information needed
- **Shared by [Optional]:** Patrick von Platen
- **Model type:** Automatic Speech Recognition
- **Language(s) (NLP):** en
- **License:** More information neede... | 4,014 | [
[
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... |
w11wo/indonesian-roberta-base-posp-tagger | 2023-03-21T07:12:08.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"roberta",
"token-classification",
"indonesian-roberta-base-posp-tagger",
"id",
"dataset:indonlu",
"arxiv:1907.11692",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | w11wo | null | null | w11wo/indonesian-roberta-base-posp-tagger | 3 | 2,345 | transformers | 2022-03-02T23:29:05 | ---
language: id
tags:
- indonesian-roberta-base-posp-tagger
license: mit
datasets:
- indonlu
widget:
- text: "Budi sedang pergi ke pasar."
---
## Indonesian RoBERTa Base POSP Tagger
Indonesian RoBERTa Base POSP Tagger is a part-of-speech token-classification model based on the [RoBERTa](https://arxiv.org/abs/1... | 3,166 | [
[
-0.04010009765625,
-0.05096435546875,
-0.0009069442749023438,
-0.0009112358093261719,
-0.0198211669921875,
-0.007503509521484375,
-0.0181427001953125,
-0.01403045654296875,
0.0191497802734375,
0.0291748046875,
-0.0303802490234375,
-0.04852294921875,
-0.062683105... |
timm/poolformerv2_s12.sail_in1k | 2023-05-05T06:19:57.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2210.13452",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/poolformerv2_s12.sail_in1k | 0 | 2,345 | timm | 2023-05-05T06:19:46 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for poolformerv2_s12.sail_in1k
A PoolFormer-v2 (a MetaFormer) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature b... | 3,650 | [
[
-0.034393310546875,
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0.01285552978515625,
0.039703369140625,
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-0.051239013671875,
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... |
yacht/latte-mc-bert-base-thai-ws | 2023-09-10T15:58:58.000Z | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"word segmentation",
"token-classification",
"th",
"dataset:best2010",
"dataset:lst20",
"dataset:tlc",
"dataset:vistec-tp-th-2021",
"dataset:wisesight_sentiment",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"region:us"
] | token-classification | yacht | null | null | yacht/latte-mc-bert-base-thai-ws | 0 | 2,342 | transformers | 2023-09-05T06:33:40 | ---
language: th
license: cc-by-sa-4.0
tags:
- word segmentation
datasets:
- best2010
- lst20
- tlc
- vistec-tp-th-2021
- wisesight_sentiment
pipeline_tag: token-classification
---
# Multi-criteria BERT base Thai with Lattice for Word Segmentation
This is a variant of the pre-trained model [BERT](https://github.com/g... | 1,860 | [
[
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-0.06536865234375,
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0.032470703125,
0.04266357421875,
-0.04632568359375,
-0.054229736328125,
-0.043853759765625,
-0.... |
Jidipally/my-pet-dog-xzg | 2023-11-03T10:43:09.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Jidipally | null | null | Jidipally/my-pet-dog-xzg | 0 | 2,342 | diffusers | 2023-11-03T10:38:52 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog-XZG Dreambooth model trained by Jidipally following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
... | 1,321 | [
[
-0.061553955078125,
-0.020843505859375,
0.015625,
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0.0115203857421875,
-0.040679931640625,
-0.03436279296875,
-0.02911376953125,
0.011756... |
VietAI/gpt-neo-1.3B-vietnamese-news | 2022-08-07T14:32:07.000Z | [
"transformers",
"pytorch",
"gpt_neo",
"text-generation",
"causal-lm",
"gpt",
"vi",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | VietAI | null | null | VietAI/gpt-neo-1.3B-vietnamese-news | 22 | 2,339 | transformers | 2022-03-02T23:29:05 | ---
language:
- vi
tags:
- pytorch
- causal-lm
- gpt
---
# GPT-Neo 1.3B on Vietnamese News
Details will be available soon.
For more information, please contact anhduongng.1001@gmail.com (Dương) / imthanhlv@gmail.com (Thành) / nguyenvulebinh@gmail.com (Bình).
### How to use
```python
from transformers import Aut... | 994 | [
[
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-0.06390380859375,
0.02685546875,
0.034515380859375,
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-0.01461029052734375,
0.0007762908935546875,
0.00732421875,
0.0227508544921875,
-0.0272064208984375,
-0.041290283203125,
-0.0462646484375,
0.01... |
DucHaiten/DucHaiten-StyleLikeMe | 2023-04-14T17:46:45.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"image-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | DucHaiten | null | null | DucHaiten/DucHaiten-StyleLikeMe | 31 | 2,339 | diffusers | 2023-03-28T16:16:58 | ---
license: creativeml-openrail-m
language:
- en
tags:
- stable-diffusion
- text-to-image
- image-to-image
- diffusers
inference: true
---
this is a model that puts heavy emphasis on artistic and surreal elements with extremely high image detail, extremely flexible, can create beautiful images with simple prompts, neg... | 3,259 | [
[
-0.0513916015625,
-0.0147857666015625,
0.052459716796875,
0.0209808349609375,
-0.020660400390625,
0.01305389404296875,
0.018646240234375,
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0.057830810546875,
0.0736083984375,
-0.055755615234375,
-0.03564453125,
-0.038238525390625,
0.014053... |
JananiReddy/my-pet-dog | 2023-11-03T08:50:39.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | JananiReddy | null | null | JananiReddy/my-pet-dog | 0 | 2,337 | diffusers | 2023-11-03T08:45:50 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog Dreambooth model trained by JananiReddy following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: MRCEW-118
Sample pictures of this concept:
![0](https://huggingface... | 392 | [
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-0.060638427734375,
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0.01284... |
remg1997/dynabench-sdxl10 | 2023-09-08T05:56:16.000Z | [
"diffusers",
"onnx",
"text-to-image",
"stable-diffusion",
"arxiv:2307.01952",
"arxiv:2211.01324",
"arxiv:2108.01073",
"arxiv:2112.10752",
"license:openrail++",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | remg1997 | null | null | remg1997/dynabench-sdxl10 | 1 | 2,336 | diffusers | 2023-09-07T23:08:36 | ---
license: openrail++
tags:
- text-to-image
- stable-diffusion
duplicated_from: stabilityai/stable-diffusion-xl-base-1.0
---
# SD-XL 1.0-base Model Card
## Model
[SDXL](https://arxiv.org/abs/2307.01952) consists of an [ensemble of experts](https://arxiv.org/abs/2211.01324... | 8,703 | [
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-0.03033447265625,
-0.0625,
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0.00963592529296875,
0.031524658203125,
-0.0222625732421875,
-0.038421630859375,
-0.045684814453125,
-0.0... |
jinho8345/bros-base-uncased | 2023-09-20T00:46:11.000Z | [
"transformers",
"pytorch",
"bros",
"feature-extraction",
"arxiv:2108.04539",
"endpoints_compatible",
"region:us"
] | feature-extraction | jinho8345 | null | null | jinho8345/bros-base-uncased | 0 | 2,333 | transformers | 2023-09-19T09:39:33 | This is a converted version of [bros-base-uncased](https://huggingface.co/naver-clova-ocr/bros-base-uncased) with [conversion script](https://github.com/huggingface/transformers/blob/main/src/transformers/models/bros/convert_bros_to_pytorch.py)
# BROS
GitHub: https://github.com/clovaai/bros
## Introduction
BROS (BE... | 1,553 | [
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-0.042205810546875,
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0.0090484619140625,
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0.01312255859375,
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... |
Yntec/3DCute | 2023-10-04T12:07:54.000Z | [
"diffusers",
"3D",
"aodai",
"Character",
"StableDiffusionVN",
"text-to-image",
"stable-diffusion",
"stable-diffusion-diffusers",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/3DCute | 0 | 2,333 | diffusers | 2023-10-04T10:57:40 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- 3D
- aodai
- Character
- StableDiffusionVN
- text-to-image
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
---
# SDVN4-3DCuteVN
This model with the MoistMixV2 VAE baked in.
Comparison:
![Comparison](https://cd... | 723 | [
[
-0.0029850006103515625,
-0.045623779296875,
0.03094482421875,
0.0218658447265625,
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0.06036376953125,
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-0.039031982421875,
-0.0079... |
facebook/s2t-small-mustc-en-fr-st | 2023-01-24T16:32:10.000Z | [
"transformers",
"pytorch",
"tf",
"speech_to_text",
"automatic-speech-recognition",
"audio",
"speech-translation",
"en",
"fr",
"dataset:mustc",
"arxiv:2010.05171",
"arxiv:1904.08779",
"license:mit",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | facebook | null | null | facebook/s2t-small-mustc-en-fr-st | 1 | 2,330 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
- fr
datasets:
- mustc
tags:
- audio
- speech-translation
- automatic-speech-recognition
license: mit
pipeline_tag: automatic-speech-recognition
widget:
- example_title: Librispeech sample 1
src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
- example_title: Librispeech sample 2
sr... | 4,598 | [
[
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0.03399658203125,
-0.05078125,
-0.0239410400390625,
-0.05999755859375,
0.004341... |
Yntec/REV | 2023-10-20T04:24:47.000Z | [
"diffusers",
"Photorealistic",
"Fantasy",
"Sci Fi",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"s6yx",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/REV | 3 | 2,330 | diffusers | 2023-08-30T09:47:24 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
language:
- en
tags:
- Photorealistic
- Fantasy
- Sci Fi
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- s6yx
inference: true
---
This model with the Color101VAE baked in.
Samples and prompt:
![Sample... | 856 | [
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0.036285400390625,
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0.058258056640625,
0.048553466796875,
-0.061981201171875,
-0.0233612060546875,
-0.0286865234375,
-... |
pablocosta/bertabaporu-base-uncased | 2023-09-26T21:21:33.000Z | [
"transformers",
"pytorch",
"bert",
"fill-mask",
"pt",
"dataset:Twitter",
"doi:10.57967/hf/0019",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | pablocosta | null | null | pablocosta/bertabaporu-base-uncased | 5 | 2,329 | transformers | 2022-07-02T21:59:20 | ---
language: pt
license: mit
tags:
- bert
- pytorch
datasets:
- Twitter
---
# <a name="introduction"></a> BERTabaporu: a genre-specific pre-trained model of Portuguese-speaking social media
## Introduction
BERTabaporu is a Brazilian Portuguese BERT model in the Twitter domain. The model has been built from a... | 1,619 | [
[
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-0.049346923828125,
-0.0025310516357421875,
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-0.059478759765625,
-0.004959... |
gchhablani/bert-base-cased-finetuned-qnli | 2021-09-20T09:08:27.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"fnet-bert-base-comparison",
"en",
"dataset:glue",
"arxiv:2105.03824",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | gchhablani | null | null | gchhablani/bert-base-cased-finetuned-qnli | 1 | 2,328 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
- fnet-bert-base-comparison
datasets:
- glue
metrics:
- accuracy
model-index:
- name: bert-base-cased-finetuned-qnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE QNLI
type: g... | 2,647 | [
[
-0.0254364013671875,
-0.044647216796875,
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0.00925445556640625,
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0.01068878173828125,
0.01541900634765625,
-0.054901123046875,
-0.04022216796875,
-0.0466003417... |
TheBloke/Nous-Hermes-13B-GPTQ | 2023-08-21T10:17:55.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"self-instruct",
"distillation",
"en",
"license:other",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Nous-Hermes-13B-GPTQ | 154 | 2,327 | transformers | 2023-06-03T13:12:08 | ---
inference: false
license: other
language:
- en
tags:
- llama
- self-instruct
- distillation
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; ma... | 10,678 | [
[
-0.04217529296875,
-0.05224609375,
0.0256500244140625,
0.003021240234375,
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0.00945281982421875,
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0.024688720703125,
0.0189208984375,
-0.054779052734375,
-0.03741455078125,
-0.0310211181640625,
0.00... |
cross-encoder/quora-roberta-large | 2021-08-05T08:41:41.000Z | [
"transformers",
"pytorch",
"jax",
"roberta",
"text-classification",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | cross-encoder | null | null | cross-encoder/quora-roberta-large | 1 | 2,325 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
---
# Cross-Encoder for Quora Duplicate Questions Detection
This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.net/examples/applications/cross-encoder/README.html) class.
## Training Data
This model was trained on the [Quora Duplicate Questi... | 1,070 | [
[
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-0.06695556640625,
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0.01383209228515625,
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0.009735107421875,
0.0472412109375,
-0.047607421875,
-0.024658203125,
-0.038421630859375,
0.026260... |
jonatasgrosman/wav2vec2-large-xlsr-53-french | 2022-12-14T01:59:23.000Z | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"fr",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_6_0",
"robust-speech-event",
"speech",
"xlsr-fine-tuning-week",
"dataset:common_voice",
"dataset:mozilla-foundation/common_voice_6_0",
"lice... | automatic-speech-recognition | jonatasgrosman | null | null | jonatasgrosman/wav2vec2-large-xlsr-53-french | 6 | 2,324 | transformers | 2022-03-02T23:29:05 | ---
language: fr
license: apache-2.0
datasets:
- common_voice
- mozilla-foundation/common_voice_6_0
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- fr
- hf-asr-leaderboard
- mozilla-foundation/common_voice_6_0
- robust-speech-event
- speech
- xlsr-fine-tuning-week
model-index:
- name: XLSR Wav2Vec2 ... | 5,512 | [
[
-0.0286102294921875,
-0.040435791015625,
0.0176849365234375,
0.0128173828125,
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0.0265045166015625,
-0.04840087890625,
-0.039642333984375,
-0.040435791015625,
0.0... |
Yntec/GameAssetsDigitalUnitsCreationKit | 2023-08-03T18:18:33.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"sadxzero",
"WarriorMama777",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/GameAssetsDigitalUnitsCreationKit | 4 | 2,322 | diffusers | 2023-08-02T10:35:24 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- sadxzero
- WarriorMama777
---
![image.png](https://cdn-uploads.huggingface.co/production/uploads/63239b8370edc53f51cd5d42/KI0lYzyzPePBLFWNr6gWV.png... | 1,979 | [
[
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0.02978515625,
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0.0467529296875,
0.033782958984375,
-0.056610107421875,
-0.017364501953125,
-0.0224151611328125,
-0.00... |
microsoft/phi-1 | 2023-11-01T23:40:50.000Z | [
"transformers",
"pytorch",
"mixformer-sequential",
"text-generation",
"code",
"custom_code",
"en",
"license:other",
"has_space",
"region:us"
] | text-generation | microsoft | null | null | microsoft/phi-1 | 110 | 2,322 | transformers | 2023-09-10T04:10:57 | ---
license: other
language:
- en
pipeline_tag: text-generation
tags:
- code
---
## Model Summary
The language model phi-1 is a Transformer with 1.3 billion parameters, specialized for basic Python coding. Its training involved a variety of data sources, including subsets of Python codes from [The Stack v1.2](https://... | 7,305 | [
[
-0.02008056640625,
-0.051422119140625,
0.005199432373046875,
0.013946533203125,
-0.01158905029296875,
-0.0323486328125,
0.01294708251953125,
-0.017852783203125,
-0.0186767578125,
0.029388427734375,
-0.0435791015625,
-0.0267333984375,
-0.05029296875,
-0.00646... |
rinna/bilingual-gpt-neox-4b-instruction-ppo | 2023-08-25T01:26:40.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"ja",
"en",
"dataset:Anthropic/hh-rlhf",
"arxiv:2203.02155",
"arxiv:1707.06347",
"license:mit",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | rinna | null | null | rinna/bilingual-gpt-neox-4b-instruction-ppo | 15 | 2,318 | transformers | 2023-08-02T05:56:07 | ---
thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
license: mit
datasets:
- Anthropic/hh-rlhf
language:
- ja
- en
inference: false
---
# bilingual-gpt-neox-4b-instruction-ppo
---
# Overview
This repository provides an English-Japanese bilingual GPT-... | 7,084 | [
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-0.07440185546875,
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0.0211181640625,
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0.0306854248046875,
-0.045501708984375,
-0.04730224609375,
-0.037200927734375,
0.0185... |
FreedomIntelligence/AceGPT-7b-chat-GPTQ | 2023-10-09T06:53:48.000Z | [
"transformers",
"llama",
"text-generation",
"ar",
"en",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | FreedomIntelligence | null | null | FreedomIntelligence/AceGPT-7b-chat-GPTQ | 1 | 2,314 | transformers | 2023-09-21T18:18:25 | ---
language:
- ar
- en
model_name: AceGPT 7B Chat
model_type: AceGPT
quantized_by: FreedomIntelligence
---
<!-- description start -->
## Description
This repo contains int4 model(GPTQ) for [AceGPT-7B-Chat](https://huggingface.co/FreedomIntelligence/AceGPT-7B-chat).
The performance of the int4 version has experience... | 1,319 | [
[
-0.0285797119140625,
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0.0304107666015625,
-0.0281829833984375,
-0.03643798828125,
-0.037872314453125,
... |
m3hrdadfi/hubert-base-persian-speech-gender-recognition | 2021-06-23T12:16:09.000Z | [
"transformers",
"pytorch",
"hubert",
"audio",
"speech",
"speech-gender-recognition",
"fa",
"dataset:shemo",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | m3hrdadfi | null | null | m3hrdadfi/hubert-base-persian-speech-gender-recognition | 7 | 2,305 | transformers | 2022-03-02T23:29:05 | ---
language: fa
datasets:
- shemo
tags:
- audio
- speech
- speech-gender-recognition
license: apache-2.0
---
# Emotion Recognition in Persian (fa) Speech using HuBERT
## How to use
### Requirements
```bash
# requirement packages
!pip install git+https://github.com/huggingface/datasets.git
!pip install git+https:/... | 2,688 | [
[
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-0.045654296875,
-0.056182861328125,
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... |
furusu/SSD-1B-anime | 2023-10-31T14:35:03.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us",
"has_space"
] | text-to-image | furusu | null | null | furusu/SSD-1B-anime | 19 | 2,303 | diffusers | 2023-10-26T07:31:03 | ---
tags:
- text-to-image
- stable-diffusion
---
このモデルは以下の2ステップで作成されました。
1. [SSD-1B](https://huggingface.co/segmind/SSD-1B)を[NekorayXL](https://civitai.com/models/136719?modelVersionId=150826)と[sdxl-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0)の差分の1.3倍でマージ。蒸留前と蒸留後のkeyについてはこの[マッピング](https:/... | 1,244 | [
[
-0.059326171875,
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0.00931549072265625,
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-0.036590576171875,
-0.04888916015625,
-0.... |
setu4993/LEALLA-large | 2023-10-19T06:14:33.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"feature-extraction",
"sentence_embedding",
"multilingual",
"google",
"sentence-similarity",
"lealla",
"labse",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"bo",
"bs",
"ca",
"ceb",
"co",
"cs",
"c... | sentence-similarity | setu4993 | null | null | setu4993/LEALLA-large | 3 | 2,302 | transformers | 2023-05-21T08:18:48 | ---
pipeline_tag: sentence-similarity
language:
- af
- am
- ar
- as
- az
- be
- bg
- bn
- bo
- bs
- ca
- ceb
- co
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- haw
- he
- hi
- hmn
- hr
- ht
-... | 5,554 | [
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0.0026187896728515625,
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0.00259... |
JulesBelveze/t5-small-headline-generator | 2023-03-17T09:01:23.000Z | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"summarization",
"headline-generation",
"text-generation",
"en",
"dataset:JulesBelveze/tldr_news",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us... | summarization | JulesBelveze | null | null | JulesBelveze/t5-small-headline-generator | 8 | 2,301 | transformers | 2022-06-28T05:51:21 | ---
license: mit
language:
- en
tags:
- summarization
- headline-generation
- text-generation
datasets:
- JulesBelveze/tldr_news
metrics:
- rouge1
- rouge2
- rougeL
- rougeLsum
---
# t5-small for headline generation
This model is a [t5-small](https://huggingface.co/t5-small) fine-tuned for headline generation using
... | 1,845 | [
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laion/CLIP-convnext_xxlarge-laion2B-s34B-b82K-augreg | 2023-04-18T17:43:24.000Z | [
"open_clip",
"zero-shot-image-classification",
"clip",
"arxiv:2210.08402",
"arxiv:1910.04867",
"license:mit",
"has_space",
"region:us"
] | zero-shot-image-classification | laion | null | null | laion/CLIP-convnext_xxlarge-laion2B-s34B-b82K-augreg | 3 | 2,301 | open_clip | 2023-02-26T20:39:06 | ---
tags:
- zero-shot-image-classification
- clip
library_tag: open_clip
license: mit
library_name: open_clip
pipeline_tag: zero-shot-image-classification
---
# Model card for CLIP-convnext_xxlarge-laion2B-s34B-b82K-augreg
# Table of Contents
1. [Model Details](#model-details)
2. [Uses](#uses)
3. [Training Details](... | 17,895 | [
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... |
digiplay/polla_mix_2.3D | 2023-07-16T13:52:33.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | digiplay | null | null | digiplay/polla_mix_2.3D | 6 | 2,300 | diffusers | 2023-07-16T06:56:40 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/110130?modelVersionId=118730
Sample image I made thru Huggingface's API :
![a6a53c24-a31e-4ebc-889b-f5494bbc81fa.jpeg](https://cdn-uploads.huggingface.co/p... | 703 | [
[
-0.04803466796875,
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-0.0400390625,
-0.036376953125,
0.000004351139068... |
Yntec/DreamShaperRemix | 2023-08-22T21:59:52.000Z | [
"diffusers",
"General",
"Anime",
"Art",
"Girl",
"Photorealistic",
"LandScapes",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Lykon",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/DreamShaperRemix | 0 | 2,297 | diffusers | 2023-08-22T20:18:15 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- General
- Anime
- Art
- Girl
- Photorealistic
- LandScapes
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- Lykon
---
# DreamShaperRemix
A remix of Dream Shaper 8. I created hundreds of mixes ... | 1,449 | [
[
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-0.030181884765625,
-0.0537109375,
0.0096511... |
flax-community/gpt-2-spanish | 2023-03-17T00:54:51.000Z | [
"transformers",
"pytorch",
"jax",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"es",
"dataset:oscar",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | flax-community | null | null | flax-community/gpt-2-spanish | 19 | 2,296 | transformers | 2022-03-02T23:29:05 | ---
language: es
tags:
- text-generation
datasets:
- oscar
widgets:
- text: "Érase un vez "
- text: "Frase: Esta película es muy agradable. Sentimiento: positivo
Frase: Odiaba esta película, apesta. Sentimiento: negativo
Frase: Esta película fue bastante mala. Sentimiento: "
---
# Spanish GPT-2
GPT-2 model trained fr... | 2,065 | [
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-0.026611328125,
-0.0592041015625,
-0.000618... |
facebook/nllb-200-1.3B | 2023-02-11T20:19:16.000Z | [
"transformers",
"pytorch",
"m2m_100",
"text2text-generation",
"nllb",
"translation",
"ace",
"acm",
"acq",
"aeb",
"af",
"ajp",
"ak",
"als",
"am",
"apc",
"ar",
"ars",
"ary",
"arz",
"as",
"ast",
"awa",
"ayr",
"azb",
"azj",
"ba",
"bm",
"ban",
"be",
"bem",
"b... | translation | facebook | null | null | facebook/nllb-200-1.3B | 28 | 2,294 | transformers | 2022-07-08T10:42:11 | ---
language:
- ace
- acm
- acq
- aeb
- af
- ajp
- ak
- als
- am
- apc
- ar
- ars
- ary
- arz
- as
- ast
- awa
- ayr
- azb
- azj
- ba
- bm
- ban
- be
- bem
- bn
- bho
- bjn
- bo
- bs
- bug
- bg
- ca
- ceb
- cs
- cjk
- ckb
- crh
- cy
- da
- de
- dik
- dyu
- dz
- el
- en
- eo
- et
- eu
- ee
- fo
- fj
- fi
- fon
- fr
- fu... | 7,630 | [
[
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shahrukhx01/bert-multitask-query-classifiers | 2021-09-27T17:01:56.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"endpoints_compatible",
"region:us"
] | text-classification | shahrukhx01 | null | null | shahrukhx01/bert-multitask-query-classifiers | 3 | 2,292 | transformers | 2022-03-02T23:29:05 | # A Multi-task learning model with two prediction heads
* One prediction head classifies between keyword sentences vs statements/questions
* Other prediction head corresponds to classifier for statements vs questions
## Scores
##### Spaadia SQuaD Test acc: **0.9891**
##### Quora Keyword Pairs Test acc: **0.98048**
##... | 2,813 | [
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gchhablani/bert-base-cased-finetuned-qqp | 2021-09-20T09:08:42.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"fnet-bert-base-comparison",
"en",
"dataset:glue",
"arxiv:2105.03824",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | gchhablani | null | null | gchhablani/bert-base-cased-finetuned-qqp | 0 | 2,289 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
- fnet-bert-base-comparison
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: bert-base-cased-finetuned-qqp
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE QQP
type... | 2,876 | [
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mrm8488/bert-medium-finetuned-squadv2 | 2021-05-20T00:25:00.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"question-answering",
"en",
"arxiv:1908.08962",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | mrm8488 | null | null | mrm8488/bert-medium-finetuned-squadv2 | 1 | 2,287 | transformers | 2022-03-02T23:29:05 | ---
language: en
thumbnail:
---
# BERT-Medium fine-tuned on SQuAD v2
[BERT-Medium](https://github.com/google-research/bert/) created by [Google Research](https://github.com/google-research) and fine-tuned on [SQuAD 2.0](https://rajpurkar.github.io/SQuAD-explorer/) for **Q&A** downstream task.
**Mode size** (after tr... | 4,597 | [
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0.00688... |
TheBloke/dolphin-2.2.1-mistral-7B-GPTQ | 2023-10-31T00:50:49.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"en",
"dataset:ehartford/dolphin",
"dataset:jondurbin/airoboros-2.2.1",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/dolphin-2.2.1-mistral-7B-GPTQ | 13 | 2,280 | transformers | 2023-10-30T23:54:16 | ---
base_model: ehartford/dolphin-2.2.1-mistral-7b
datasets:
- ehartford/dolphin
- jondurbin/airoboros-2.2.1
inference: false
language:
- en
license: apache-2.0
model_creator: Eric Hartford
model_name: Dolphin 2.2.1 Mistral 7B
model_type: mistral
prompt_template: '<|im_start|>system
{system_message}<|im_end|>
<|i... | 23,312 | [
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-0.0... |
timm/tf_efficientnet_b6.ns_jft_in1k | 2023-04-27T21:23:18.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:1911.04252",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_b6.ns_jft_in1k | 0 | 2,279 | timm | 2022-12-13T00:05:22 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b6.ns_jft_in1k
A EfficientNet image classification model. Trained on ImageNet-1k and unlabeled JFT-300m using Noisy Student semi-supervised learning in Tensorflow by paper authors... | 4,607 | [
[
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-0.0421142578125,
-0.054534912109375,
-0.0106... |
yentinglin/Taiwan-LLaMa-v1.0 | 2023-11-02T08:36:04.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"zh",
"dataset:yentinglin/zh_TW_c4",
"dataset:yentinglin/traditional_mandarin_instructions",
"arxiv:2305.13711",
"arxiv:2104.09864",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | yentinglin | null | null | yentinglin/Taiwan-LLaMa-v1.0 | 66 | 2,279 | transformers | 2023-08-10T05:31:15 | ---
license: llama2
datasets:
- yentinglin/zh_TW_c4
- yentinglin/traditional_mandarin_instructions
language:
- zh
widget:
- text: "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: 你好，請問你可以幫我寫一封推薦信嗎？ ASSISTAN... | 10,609 | [
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-0.04461669921875,
-0.036346435546875,
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0.0126953125,
... |
albert-large-v1 | 2021-01-13T15:29:06.000Z | [
"transformers",
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | null | null | albert-large-v1 | 0 | 2,277 | transformers | 2022-03-02T23:29:04 | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# ALBERT Large v1
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1909.11942) and first released in
[this repository](https://github.com/google-res... | 9,757 | [
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0.... |
laion/CLIP-convnext_base_w-laion2B-s13B-b82K | 2023-04-18T22:05:45.000Z | [
"open_clip",
"clip",
"zero-shot-image-classification",
"arxiv:2201.03545",
"arxiv:1910.04867",
"license:mit",
"has_space",
"region:us"
] | zero-shot-image-classification | laion | null | null | laion/CLIP-convnext_base_w-laion2B-s13B-b82K | 3 | 2,277 | open_clip | 2023-01-03T00:22:20 | ---
license: mit
library_name: open_clip
pipeline_tag: zero-shot-image-classification
tags:
- clip
---
# Model Card for CLIP-convnext_base_w-320.laion2B-s13B-b82K
# Table of Contents
1. [Model Details](#model-details)
2. [Uses](#uses)
3. [Training Details](#training-details)
4. [Evaluation](#evaluation)
5. [Acknowle... | 12,623 | [
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h2oai/h2ogpt-4096-llama2-7b | 2023-08-24T18:34:22.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"llama-2",
"h2ogpt",
"en",
"license:llama2",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | h2oai | null | null | h2oai/h2ogpt-4096-llama2-7b | 2 | 2,276 | transformers | 2023-08-09T17:36:44 | ---
inference: false
language:
- en
license: llama2
model_type: llama
pipeline_tag: text-generation
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
- h2ogpt
---
h2oGPT clone of [Meta's Llama 2 7B](https://huggingface.co/meta-llama/Llama-2-7b-hf).
This model can be fine-tuned with [H2O.ai](https://h2o.ai/) open-so... | 1,665 | [
[
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timm/deit3_base_patch16_224.fb_in22k_ft_in1k | 2023-03-28T00:48:19.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2204.07118",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/deit3_base_patch16_224.fb_in22k_ft_in1k | 0 | 2,275 | timm | 2023-03-28T00:46:58 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for deit3_base_patch16_224.fb_in22k_ft_in1k
A DeiT-III image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model Details
- **Model... | 3,053 | [
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-0.0477294921875,
... |
ostris/watercolor_style_lora_sdxl | 2023-08-15T01:57:12.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"sdxl",
"license:apache-2.0",
"has_space",
"region:us"
] | text-to-image | ostris | null | null | ostris/watercolor_style_lora_sdxl | 9 | 2,275 | diffusers | 2023-08-15T01:50:24 | ---
license: apache-2.0
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- sdxl
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt:
widget:
- text: darth vader fighting superman, 2 people, lightsaber
---
# Watercolor Style - SDXL LoRA
### Tips
- No trigger words needed.
- Converts any p... | 2,417 | [
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0.03814697265625,
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-0.040252685546875,
-0.056396484375,
0.005580902... |
timm/efficientformerv2_s0.snap_dist_in1k | 2023-02-03T21:11:14.000Z | [
"timm",
"pytorch",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2212.08059",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/efficientformerv2_s0.snap_dist_in1k | 0 | 2,273 | timm | 2023-02-03T21:11:09 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientformerv2_s0.snap_dist_in1k
A EfficientFormer-V2 image classification model. Pretrained with distillation on ImageNet-1k.
## Model Details
- **Model Type:** Image classification / feature... | 4,560 | [
[
-0.032196044921875,
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AIARTCHAN/camelliamix_v2.0 | 2023-08-04T01:49:12.000Z | [
"diffusers",
"stable-diffusion",
"aiartchan",
"text-to-image",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | AIARTCHAN | null | null | AIARTCHAN/camelliamix_v2.0 | 14 | 2,271 | diffusers | 2023-03-14T21:45:56 | ---
license: other
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- aiartchan
---
# camelliamix_v2.0
[원본글](https://arca.live/b/aiart/71600989)
[civitai](https://civitai.com/models/44165?modelVersionId=48820)
# Download
- [original 5.55GB](https://drive.google.com/file/d/1WnNJp-Mn79B6K... | 1,298 | [
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0.040557861328125,
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-0.0283355712890625,
0.0115... |
EarthnDusk/IllustrationBackups | 2023-07-22T11:46:02.000Z | [
"diffusers",
"stable diffusion",
"text-to-image",
"en",
"dataset:Duskfallcrew/Creative-Embeddings",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | EarthnDusk | null | null | EarthnDusk/IllustrationBackups | 0 | 2,270 | diffusers | 2023-07-18T04:44:59 | ---
license: creativeml-openrail-m
datasets:
- Duskfallcrew/Creative-Embeddings
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable diffusion
---
Illustration Merges - Osenayan Mix , Nomura Lee, JoeMad aka ultimate liquid, Comic & Anime Punk Fusion and TiS Mix V2
Backup dump intended fo... | 2,529 | [
[
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0.041015625,
-0.07171630859375,
-0.035003662109375,
-0.032379150390625,
-0.00051546096801... |
ai-forever/T5-large-spell | 2023-10-04T18:12:32.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"spellchecking",
"NLP",
"T5",
"natural language generation",
"en",
"arxiv:2308.09435",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | ai-forever | null | null | ai-forever/T5-large-spell | 0 | 2,268 | transformers | 2023-07-29T12:59:31 | ---
license: mit
language:
- en
tags:
- spellchecking
- NLP
- T5
- pytorch
- natural language generation
---
# T5-large-spell model
### Summary
The model corrects spelling errors and typos by bringing all words in the text to the standard English language.
The proofreader was trained based on the [T5-large](https://h... | 4,617 | [
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SVC05/watermelon | 2023-10-28T13:45:08.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | SVC05 | null | null | SVC05/watermelon | 0 | 2,264 | diffusers | 2023-10-28T13:40:37 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### watermelon Dreambooth model trained by SVC05 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: SFIT-41
Sample pictures of this concept:
![0](https://huggingface.co/S... | 492 | [
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0.0045280456542968... |
zeroshot/bge-small-en-v1.5-sparse | 2023-11-01T17:50:25.000Z | [
"transformers",
"onnx",
"bert",
"feature-extraction",
"mteb",
"sparse sparsity quantized onnx embeddings int8",
"en",
"license:mit",
"model-index",
"endpoints_compatible",
"region:us"
] | feature-extraction | zeroshot | null | null | zeroshot/bge-small-en-v1.5-sparse | 3 | 2,262 | transformers | 2023-09-21T13:21:02 | ---
tags:
- mteb
- sparse sparsity quantized onnx embeddings int8
model-index:
- name: bge-small-en-v1.5-sparse
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: ... | 42,559 | [
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-0.05853271484375,
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mariogiordano/Bert-english-emotion-analysis | 2023-10-31T15:55:36.000Z | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | mariogiordano | null | null | mariogiordano/Bert-english-emotion-analysis | 0 | 2,262 | transformers | 2023-10-20T16:50:20 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: Bert-english-emotion-analysis
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 t... | 1,466 | [
[
-0.03863525390625,
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-0.0230865478515625,
-0.0248260498046875,
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0.005725860595703125,
-0.0556640625,
-0.05035400390625,
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-0.01538... |
stabilityai/japanese-stablelm-instruct-alpha-7b | 2023-08-22T09:37:10.000Z | [
"transformers",
"pytorch",
"text-generation",
"japanese-stablelm",
"causal-lm",
"custom_code",
"ja",
"license:other",
"has_space",
"region:us"
] | text-generation | stabilityai | null | null | stabilityai/japanese-stablelm-instruct-alpha-7b | 84 | 2,261 | transformers | 2023-08-10T01:23:35 | ---
language:
- ja
tags:
- japanese-stablelm
- causal-lm
pipeline_tag: text-generation
license:
- other
extra_gated_heading: Access Japanese StableLM Instruct Alpha
extra_gated_description: This repository is publicly accessible, but you have to accept the conditions to access its files and content.
extra_gated_button_... | 18,752 | [
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-0.05126953125,
-0.038909912109375,
0.01451110839... |
Helsinki-NLP/opus-mt-eu-en | 2023-08-16T11:34:04.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"eu",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-eu-en | 1 | 2,260 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-eu-en
* source languages: eu
* target languages: en
* OPUS readme: [eu-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/eu-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 818 | [
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kykim/electra-kor-base | 2021-01-22T00:28:50.000Z | [
"transformers",
"pytorch",
"tf",
"electra",
"pretraining",
"ko",
"endpoints_compatible",
"region:us"
] | null | kykim | null | null | kykim/electra-kor-base | 1 | 2,259 | transformers | 2022-03-02T23:29:05 | ---
language: ko
---
# Electra base model for Korean
* 70GB Korean text dataset and 42000 lower-cased subwords are used
* Check the model performance and other language models for Korean in [github](https://github.com/kiyoungkim1/LM-kor)
```python
from transformers import ElectraTokenizerFast, ElectraModel
tokenize... | 461 | [
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0... |
digiplay/insaneRealistic_v1 | 2023-07-14T04:54:03.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | digiplay | null | null | digiplay/insaneRealistic_v1 | 2 | 2,258 | diffusers | 2023-07-14T02:28:38 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/108585/insane-realistic-v10
![Screenshot_20230714_103126_Vivaldi Browser Snapshot.jpg](https://cdn-uploads.huggingface.co/production/uploads/646c83c871d0c8a6e... | 523 | [
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0.0517578125,
0.0264129638671875,
-0.06329345703125,
-0.00801849365234375,
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-... |
TheBloke/vicuna-13B-v1.5-GPTQ | 2023-09-27T12:45:20.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:2307.09288",
"arxiv:2306.05685",
"license:llama2",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/vicuna-13B-v1.5-GPTQ | 12 | 2,257 | transformers | 2023-08-03T10:03:59 | ---
license: llama2
model_name: Vicuna 13B v1.5
base_model: lmsys/vicuna-13b-v1.5
inference: false
model_creator: lmsys
model_type: llama
prompt_template: 'A chat between a curious user and an artificial intelligence assistant.
The assistant gives helpful, detailed, and polite answers to the user''s questions.
USER... | 16,715 | [
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0.028778076171875,
-0.050933837890625,
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-0.0221099853515625... |
diffusers/controlnet-canny-sdxl-1.0-mid | 2023-08-16T12:59:53.000Z | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"controlnet",
"license:openrail++",
"diffusers:ControlNetModel",
"region:us"
] | text-to-image | diffusers | null | null | diffusers/controlnet-canny-sdxl-1.0-mid | 10 | 2,256 | diffusers | 2023-08-16T11:20:41 | ---
license: openrail++
base_model: stabilityai/stable-diffusion-xl-base-1.0
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- controlnet
inference: false
---
# Small SDXL-controlnet: Canny
These are small controlnet weights trained on stabilityai/stable-diffusion-xl-base-1... | 4,516 | [
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CyberPeace-Institute/SecureBERT-NER | 2023-07-19T09:05:05.000Z | [
"transformers",
"pytorch",
"safetensors",
"roberta",
"token-classification",
"en",
"arxiv:2204.02685",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | CyberPeace-Institute | null | null | CyberPeace-Institute/SecureBERT-NER | 6 | 2,254 | transformers | 2023-06-23T11:12:52 | ---
language:
- en
library_name: transformers
pipeline_tag: token-classification
widget:
- text: "Microsoft Threat Intelligence analysts assess with high confidence that the malware, which we call KingsPawn, is developed by DEV-0196 and therefore strongly linked to QuaDream. We assess with medium confidence that the mo... | 676 | [
[
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CompVis/stable-diffusion-v1-1 | 2023-07-05T16:18:08.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"arxiv:2112.10752",
"arxiv:2103.00020",
"arxiv:2205.11487",
"arxiv:2207.12598",
"arxiv:1910.09700",
"license:creativeml-openrail-m",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | CompVis | null | null | CompVis/stable-diffusion-v1-1 | 53 | 2,251 | diffusers | 2022-08-19T10:24:23 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
inference: false
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.... | 13,905 | [
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daryl149/llama-2-70b-chat-hf | 2023-07-23T17:13:51.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | daryl149 | null | null | daryl149/llama-2-70b-chat-hf | 4 | 2,249 | transformers | 2023-07-20T07:05:42 | These are the converted model weights for Llama-2-70B-chat in Huggingface format.
Courtesy of [Mirage-Studio.io](https://mirage-studio.io), home of MirageGPT: the private ChatGPT alternative.
---
license: other
LLAMA 2 COMMUNITY LICENSE AGREEMENT
Llama 2 Version Release Date: July 18, 2023
"Agreement" means the ter... | 7,238 | [
[
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heegyu/llama-2-ko-7b-chat | 2023-08-18T05:22:31.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ko",
"dataset:beomi/KoAlpaca-v1.1a",
"dataset:dbdu/ShareGPT-74k-ko",
"dataset:heegyu/korquad-chat-v1",
"dataset:HAERAE-HUB/KoInstruct-QA",
"dataset:changpt/ko-lima-vicuna",
"dataset:nlpai-lab/kullm-v2",
"endpoints_compatible",
"text-gen... | text-generation | heegyu | null | null | heegyu/llama-2-ko-7b-chat | 10 | 2,245 | transformers | 2023-08-18T04:22:15 | ---
datasets:
- beomi/KoAlpaca-v1.1a
- dbdu/ShareGPT-74k-ko
- heegyu/korquad-chat-v1
- HAERAE-HUB/KoInstruct-QA
- changpt/ko-lima-vicuna
- nlpai-lab/kullm-v2
language:
- ko
---
# heegyu/llama-2-ko-7b-chat
- [beomi/llama-2-ko-7b](https://huggingface.co/beomi/llama-2-ko-7b)의 40B 체크포인트를 여러 한국어 instruction 데이터셋으로 학습한 모델
... | 3,003 | [
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glrh11/vit-base-patch16-224 | 2023-05-07T06:58:46.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"vit",
"image-classification",
"vision",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2010.11929",
"arxiv:2006.03677",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | glrh11 | null | null | glrh11/vit-base-patch16-224 | 0 | 2,239 | transformers | 2023-05-07T06:30:18 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
- imagenet-21k
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/... | 5,736 | [
[
-0.046722412109375,
-0.01190948486328125,
-0.0011224746704101562,
-0.00600433349609375,
-0.029052734375,
-0.0122528076171875,
-0.004547119140625,
-0.04632568359375,
0.0118255615234375,
0.03741455078125,
-0.0236663818359375,
-0.0192413330078125,
-0.05657958984375... |
ogstradamus/brandon | 2023-10-14T00:51:48.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | ogstradamus | null | null | ogstradamus/brandon | 0 | 2,239 | diffusers | 2023-10-14T00:46:09 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### Brandon Dreambooth model trained by ogstradamus 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 [... | 500 | [
[
-0.026153564453125,
-0.061065673828125,
0.053070068359375,
0.0265045166015625,
-0.01947021484375,
0.02813720703125,
0.0177459716796875,
-0.0225677490234375,
0.04583740234375,
0.004886627197265625,
-0.0117645263671875,
-0.0215911865234375,
-0.03656005859375,
... |
bigcode/starencoder | 2023-05-10T14:52:27.000Z | [
"transformers",
"pytorch",
"bert",
"pretraining",
"code",
"arxiv:1810.04805",
"endpoints_compatible",
"region:us"
] | null | bigcode | null | null | bigcode/starencoder | 33 | 2,237 | transformers | 2023-03-13T14:59:15 | ---
language:
- code
extra_gated_prompt: >-
## Model License Agreement
Please read the BigCode [OpenRAIL-M
license](https://huggingface.co/spaces/bigcode/bigcode-model-license-agreement)
agreement before accepting it.
extra_gated_fields:
I accept the above license agreement, and will use the Model compl... | 2,863 | [
[
-0.0218048095703125,
-0.042266845703125,
0.0245819091796875,
0.028564453125,
-0.01036834716796875,
-0.0157012939453125,
-0.023345947265625,
-0.049224853515625,
0.0140380859375,
0.0489501953125,
-0.045379638671875,
-0.043609619140625,
-0.0577392578125,
0.0056... |
diffusers/controlnet-depth-sdxl-1.0-mid | 2023-08-16T14:11:04.000Z | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"controlnet",
"license:openrail++",
"diffusers:ControlNetModel",
"region:us"
] | text-to-image | diffusers | null | null | diffusers/controlnet-depth-sdxl-1.0-mid | 10 | 2,237 | diffusers | 2023-08-16T11:30:18 |
---
license: openrail++
base_model: stabilityai/stable-diffusion-xl-base-1.0
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- controlnet
inference: false
---
# SDXL-controlnet: Depth
These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with dep... | 5,309 | [
[
-0.048583984375,
-0.04144287109375,
0.0232696533203125,
0.0264739990234375,
-0.021514892578125,
-0.0007863044738769531,
0.005889892578125,
-0.0162200927734375,
0.0219573974609375,
0.02178955078125,
-0.040557861328125,
-0.031280517578125,
-0.055572509765625,
... |
ainize/bart-base-cnn | 2021-06-21T09:52:44.000Z | [
"transformers",
"pytorch",
"bart",
"feature-extraction",
"summarization",
"en",
"dataset:cnn_dailymail",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | summarization | ainize | null | null | ainize/bart-base-cnn | 9 | 2,235 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: apache-2.0
datasets:
- cnn_dailymail
tags:
- summarization
- bart
---
# BART base model fine-tuned on CNN Dailymail
- This model is a [bart-base model](https://huggingface.co/facebook/bart-base) fine-tuned on the [CNN/Dailymail summarization dataset](https://huggingface.co/datasets/cnn_dailym... | 3,958 | [
[
-0.0251007080078125,
-0.04144287109375,
0.03900146484375,
0.0159759521484375,
-0.00909423828125,
-0.007640838623046875,
-0.0011310577392578125,
-0.033172607421875,
-0.0023555755615234375,
0.037353515625,
-0.016937255859375,
-0.050506591796875,
-0.04656982421875,... |
comodoro/wav2vec2-xls-r-300m-cs-250 | 2023-10-31T10:01:10.000Z | [
"transformers",
"pytorch",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_8_0",
"robust-speech-event",
"xlsr-fine-tuning-week",
"cs",
"dataset:mozilla-foundation/common_voice_8_0",
"dataset:ovm",
"... | automatic-speech-recognition | comodoro | null | null | comodoro/wav2vec2-xls-r-300m-cs-250 | 1 | 2,233 | transformers | 2022-03-02T23:29:05 | ---
language:
- cs
license: apache-2.0
tags:
- automatic-speech-recognition
- generated_from_trainer
- hf-asr-leaderboard
- mozilla-foundation/common_voice_8_0
- robust-speech-event
- xlsr-fine-tuning-week
datasets:
- mozilla-foundation/common_voice_8_0
- ovm
- pscr
- vystadial2016
base_model: facebook/wav2vec2-xls-r-3... | 7,184 | [
[
-0.042327880859375,
-0.045257568359375,
0.015869140625,
0.0131072998046875,
-0.007732391357421875,
-0.01384735107421875,
-0.023773193359375,
-0.017333984375,
0.02734375,
0.0262451171875,
-0.045135498046875,
-0.051239013671875,
-0.039459228515625,
-0.00596618... |
ml6team/bert-base-uncased-city-country-ner | 2022-07-01T07:27:25.000Z | [
"transformers",
"pytorch",
"tf",
"bert",
"token-classification",
"address-NER",
"NER",
"bert-base-uncased",
"en",
"dataset:Ultra Fine Entity Typing",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | ml6team | null | null | ml6team/bert-base-uncased-city-country-ner | 8 | 2,232 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
tags:
- token-classification
- address-NER
- NER
- bert-base-uncased
datasets:
- Ultra Fine Entity Typing
metrics:
- Precision
- Recall
- F1 Score
widget:
- text: "Hi, I am Kermit and I live in Berlin"
- text: "It is very difficult to find a house in Berlin, Germany."
- text: "ML6 is a very cool co... | 1,481 | [
[
-0.042694091796875,
-0.04925537109375,
0.029388427734375,
-0.00025725364685058594,
-0.0240478515625,
-0.0139312744140625,
-0.0275115966796875,
-0.0256805419921875,
0.01544952392578125,
0.041839599609375,
-0.026611328125,
-0.060699462890625,
-0.046234130859375,
... |
NousResearch/Llama-2-70b-hf | 2023-08-26T20:17:24.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"llama-2",
"en",
"text-generation-inference",
"region:us"
] | text-generation | NousResearch | null | null | NousResearch/Llama-2-70b-hf | 14 | 2,232 | transformers | 2023-07-18T20:56:59 | ---
extra_gated_heading: Access Llama 2 on Hugging Face
extra_gated_description: >-
This is a form to enable access to Llama 2 on Hugging Face after you have been
granted access from Meta. Please visit the [Meta website](https://ai.meta.com/resources/models-and-libraries/llama-downloads) and accept our
license te... | 10,100 | [
[
-0.0164337158203125,
-0.0526123046875,
0.0277252197265625,
0.01485443115234375,
-0.0281829833984375,
0.0163726806640625,
-0.0033435821533203125,
-0.056427001953125,
0.004619598388671875,
0.0237579345703125,
-0.052520751953125,
-0.0426025390625,
-0.05047607421875... |
Supabase/gte-small | 2023-09-20T20:02:20.000Z | [
"transformers.js",
"pytorch",
"onnx",
"bert",
"feature-extraction",
"en",
"license:mit",
"region:us"
] | feature-extraction | Supabase | null | null | Supabase/gte-small | 16 | 2,230 | transformers.js | 2023-08-01T17:50:33 | ---
pipeline_tag: feature-extraction
library_name: "transformers.js"
language:
- en
license: mit
---
_Fork of https://huggingface.co/thenlper/gte-small with ONNX weights to be compatible with Transformers.js. See [JavaScript usage](#javascript)._
---
# gte-small
Gegeral Text Embeddings (GTE) model.
The GTE mode... | 7,618 | [
[
-0.0338134765625,
-0.043914794921875,
0.01934814453125,
0.005588531494140625,
-0.0172882080078125,
0.002300262451171875,
-0.0220947265625,
-0.018218994140625,
0.047607421875,
0.01172637939453125,
-0.04351806640625,
-0.05743408203125,
-0.058441162109375,
-0.0... |
allenai/multicite-multilabel-scibert | 2022-05-10T17:45:24.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"scibert",
"en",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | allenai | null | null | allenai/multicite-multilabel-scibert | 1 | 2,228 | transformers | 2022-05-06T12:02:26 | ---
language: en
tags:
- scibert
license: mit
---
# MultiCite: Multi-label Citation Intent Classification with SciBERT (NAACL 2022)
This model has been trained on the data available here: https://github.com/allenai/multicite | 227 | [
[
-0.01462554931640625,
0.0040130615234375,
0.050994873046875,
0.050445556640625,
0.0123748779296875,
-0.00452423095703125,
0.014892578125,
-0.0176849365234375,
0.01763916015625,
0.0274505615234375,
-0.039886474609375,
-0.04168701171875,
-0.038543701171875,
0.... |
Salesforce/codegen2-3_7B | 2023-07-06T10:48:32.000Z | [
"transformers",
"pytorch",
"codegen",
"text-generation",
"custom_code",
"arxiv:2305.02309",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | Salesforce | null | null | Salesforce/codegen2-3_7B | 13 | 2,228 | transformers | 2023-04-25T02:08:59 | ---
license: apache-2.0
---
# CodeGen2 (CodeGen2-3.7B)
## Model description
[CodeGen2](https://github.com/salesforce/CodeGen2) is a family of autoregressive language models for **program synthesis**, introduced in the paper:
[CodeGen2: Lessons for Training LLMs on Programming and Natural Languages](https://arxiv.or... | 4,431 | [
[
-0.016998291015625,
-0.049560546875,
0.0019989013671875,
0.0250091552734375,
-0.0070343017578125,
0.00998687744140625,
-0.01190948486328125,
-0.04095458984375,
-0.0155029296875,
0.032684326171875,
-0.041656494140625,
-0.0262451171875,
-0.03546142578125,
0.01... |
Yntec/Cetus | 2023-09-28T06:17:00.000Z | [
"diffusers",
"Anime",
"2D",
"2.5D",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"Eagelaxis",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/Cetus | 2 | 2,228 | diffusers | 2023-08-29T04:42:12 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
language:
- en
tags:
- Anime
- 2D
- 2.5D
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- Eagelaxis
inference: true
---
# Cetus
When you think about a Cetus generation, you think about the 3.5 version. It's fp16-no... | 798 | [
[
-0.049072265625,
-0.05615234375,
0.06451416015625,
0.0133819580078125,
-0.040130615234375,
-0.0045013427734375,
0.0010480880737304688,
-0.040130615234375,
0.041595458984375,
0.02984619140625,
-0.042755126953125,
-0.0419921875,
-0.0178375244140625,
0.01013183... |
timm/eva_giant_patch14_224.clip_ft_in1k | 2023-03-31T05:57:21.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2303.15389",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/eva_giant_patch14_224.clip_ft_in1k | 2 | 2,221 | timm | 2022-12-23T02:37:40 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
---
# Model card for eva_giant_patch14_224.clip_ft_in1k
An EVA-CLIP image classification model. Pretrained on LAION-400M with CLIP and fine-tuned on ImageNet-1k by paper authors. EVA-CLIP uses MIM pretrained image towers and pretrained text towers,... | 4,897 | [
[
-0.04644775390625,
-0.033447265625,
0.013336181640625,
0.00963592529296875,
-0.0182037353515625,
0.0026187896728515625,
-0.0095977783203125,
-0.029327392578125,
0.04852294921875,
0.026092529296875,
-0.03546142578125,
-0.053497314453125,
-0.04638671875,
0.008... |
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