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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
hashu/my-pet-dog-xzh | 2023-08-10T12:42:40.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | hashu | null | null | hashu/my-pet-dog-xzh | 0 | 811 | diffusers | 2023-08-10T12:38:49 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog-xzh Dreambooth model trained by hashu following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: VJCET527
Sample pictures of this concept:
![0](https://huggingface.co... | 389 | [
[
-0.0513916015625,
-0.0204010009765625,
0.033416748046875,
-0.005039215087890625,
-0.0217437744140625,
0.033203125,
0.02484130859375,
-0.0286102294921875,
0.03887939453125,
0.029083251953125,
-0.042755126953125,
-0.0279083251953125,
-0.0135955810546875,
-0.01... |
ai-lab/ESGify | 2023-10-31T11:48:06.000Z | [
"transformers",
"pytorch",
"mpnet",
"ESG",
"finance",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | ai-lab | null | null | ai-lab/ESGify | 4 | 811 | transformers | 2023-08-29T07:53:44 | ---
license: apache-2.0
tags:
- ESG
- finance
language:
- en
---
# About ESGify
<img src="ESGify_logo.jpeg" alt="image" width="20%" height="auto">
**ESGify** is a model for multilabel news classification with respect to ESG risks. Our custom methodology includes 46 ESG classes and 1 non-relevant ... | 4,397 | [
[
-0.039825439453125,
-0.0491943359375,
0.01025390625,
-0.0017757415771484375,
-0.004985809326171875,
-0.0197906494140625,
-0.0154571533203125,
-0.0215301513671875,
0.00933074951171875,
0.0211334228515625,
-0.035308837890625,
-0.0460205078125,
-0.0687255859375,
... |
stablediffusionapi/abyssorangemix3a1b | 2023-09-27T03:02:24.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/abyssorangemix3a1b | 3 | 811 | diffusers | 2023-09-27T03:01:08 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# AbyssOrangeMix3A1B API Inference
## G... | 2,500 | [
[
-0.037689208984375,
-0.054443359375,
0.037261962890625,
0.023284912109375,
-0.038238525390625,
-0.0012273788452148438,
0.0291595458984375,
-0.042236328125,
0.037322998046875,
0.045806884765625,
-0.05999755859375,
-0.060302734375,
-0.0281219482421875,
-0.0001... |
timm/ViT-L-16-SigLIP-384 | 2023-10-25T21:54:17.000Z | [
"open_clip",
"clip",
"siglip",
"zero-shot-image-classification",
"dataset:webli",
"arxiv:2303.15343",
"license:apache-2.0",
"region:us"
] | zero-shot-image-classification | timm | null | null | timm/ViT-L-16-SigLIP-384 | 1 | 811 | open_clip | 2023-10-16T23:32:50 | ---
tags:
- clip
- siglip
library_name: open_clip
pipeline_tag: zero-shot-image-classification
license: apache-2.0
datasets:
- webli
---
# Model card for ViT-L-16-SigLIP-384
A SigLIP (Sigmoid loss for Language-Image Pre-training) model trained on WebLI.
This model has been converted to PyTorch from the original JAX c... | 3,162 | [
[
-0.0299072265625,
-0.0372314453125,
0.015869140625,
0.0157623291015625,
-0.034423828125,
-0.0235137939453125,
-0.0295257568359375,
-0.030029296875,
0.0244598388671875,
0.0190582275390625,
-0.03857421875,
-0.05816650390625,
-0.054931640625,
-0.011032104492187... |
kimnice/bald-man-model | 2023-10-31T08:14:23.000Z | [
"diffusers",
"safetensors",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | kimnice | null | null | kimnice/bald-man-model | 0 | 811 | diffusers | 2023-10-20T08:17:06 | base_model: SG161222/Realistic_Vision_V5.1_noVAE <br>
instance_prompt: photo of a myLora nice <br>
tags:
text-to-image
diffusers
autotrain inference: true | 155 | [
[
-0.0179901123046875,
-0.0248870849609375,
0.03955078125,
0.00920867919921875,
-0.0264739990234375,
-0.02813720703125,
0.02227783203125,
-0.025177001953125,
0.006259918212890625,
0.041259765625,
-0.049835205078125,
-0.033447265625,
-0.018768310546875,
-0.0035... |
regel-corpus/hunflair-promoter | 2022-11-28T14:36:20.000Z | [
"flair",
"pytorch",
"hunflair",
"token-classification",
"sequence-tagger-model",
"en",
"region:us"
] | token-classification | regel-corpus | null | null | regel-corpus/hunflair-promoter | 0 | 810 | flair | 2022-03-29T11:22:27 | ---
tags:
- flair
- hunflair
- token-classification
- sequence-tagger-model
language: en
widget:
- text: "Two putative extended promoters consensus sequences (p1 and p2)."
---
## HunFlair model for PROMOTER
[HunFlair](https://github.com/flairNLP/flair/blob/master/resources/docs/HUNFLAIR.md) (biomedical flair) for p... | 2,424 | [
[
-0.0223846435546875,
-0.050445556640625,
-0.0113372802734375,
0.0164337158203125,
0.00043845176696777344,
-0.01812744140625,
-0.01480865478515625,
-0.0245513916015625,
0.061431884765625,
0.0030689239501953125,
-0.022186279296875,
-0.0266876220703125,
-0.04104614... |
timm/vit_medium_patch16_gap_256.sw_in12k_ft_in1k | 2023-05-06T00:26:57.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-12k",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_medium_patch16_gap_256.sw_in12k_ft_in1k | 0 | 810 | timm | 2022-12-02T01:56:59 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-12k
---
# Model card for vit_medium_patch16_gap_256.sw_in12k_ft_in1k
A Vision Transformer (ViT) image classification model. This is a `timm` specific variation of the architecture with token global average... | 3,729 | [
[
-0.03680419921875,
-0.030975341796875,
0.0007905960083007812,
0.01318359375,
-0.02740478515625,
-0.025634765625,
-0.0162200927734375,
-0.033416748046875,
0.0229339599609375,
0.0214080810546875,
-0.044403076171875,
-0.045562744140625,
-0.05084228515625,
-0.00... |
digiplay/ChikMix_V3 | 2023-10-03T06:48:58.000Z | [
"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/ChikMix_V3 | 7 | 810 | diffusers | 2023-06-30T13:13:31 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info:
https://civitai.com/models/9871?modelVersionId=59409
Original Author's DEMO images :
![](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b277a262-5012-451f-624a-fdcbff31d100/width=10... | 833 | [
[
-0.038543701171875,
-0.030548095703125,
0.02459716796875,
0.0208892822265625,
-0.0323486328125,
-0.0057220458984375,
0.01361846923828125,
-0.0208587646484375,
0.04730224609375,
0.0260467529296875,
-0.06231689453125,
-0.03643798828125,
-0.0226593017578125,
-0... |
ku-nlp/deberta-v2-base-japanese-with-auto-jumanpp | 2023-09-15T03:47:58.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta-v2",
"fill-mask",
"deberta",
"ja",
"dataset:wikipedia",
"dataset:cc100",
"dataset:oscar",
"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us",
"has_space"
] | fill-mask | ku-nlp | null | null | ku-nlp/deberta-v2-base-japanese-with-auto-jumanpp | 0 | 810 | transformers | 2023-09-07T06:04:29 | ---
language: ja
license: cc-by-sa-4.0
library_name: transformers
tags:
- deberta
- deberta-v2
- fill-mask
datasets:
- wikipedia
- cc100
- oscar
metrics:
- accuracy
mask_token: "[MASK]"
widget:
- text: "京都大学で自然言語処理を[MASK]する。"
---
# Model Card for Japanese DeBERTa V2 base
## Model description
This i... | 4,951 | [
[
-0.040802001953125,
-0.06854248046875,
0.0251312255859375,
-0.00521087646484375,
-0.0280914306640625,
0.004486083984375,
-0.02447509765625,
-0.032318115234375,
0.0284423828125,
0.03619384765625,
-0.04254150390625,
-0.05181884765625,
-0.05438232421875,
0.0003... |
timm/fbnetv3_d.ra2_in1k | 2023-04-27T22:48:42.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:2006.02049",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/fbnetv3_d.ra2_in1k | 0 | 809 | timm | 2022-12-16T05:36:54 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for fbnetv3_d.ra2_in1k
A FBNet-v3 image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* RandAugment `RA2` recipe. Inspired by and evo... | 4,857 | [
[
-0.03271484375,
-0.032958984375,
0.003116607666015625,
0.007579803466796875,
-0.0219268798828125,
-0.025848388671875,
-0.01313018798828125,
-0.0313720703125,
0.0189971923828125,
0.03668212890625,
-0.03662109375,
-0.048370361328125,
-0.054229736328125,
-0.008... |
ProomptEngineer/pe-lofi-hiphop-lofi-girl-concept | 2023-09-11T15:33:05.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:other",
"has_space",
"region:us"
] | text-to-image | ProomptEngineer | null | null | ProomptEngineer/pe-lofi-hiphop-lofi-girl-concept | 1 | 809 | diffusers | 2023-09-11T15:33:03 | ---
license: other
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: PELofiHipHop
widget:
- text: PELofiHipHop
---
# PE Lofi HipHop / Lofi Girl [Concept]
<h2 id="heading-63">If you want to donate:</h2... | 837 | [
[
-0.011138916015625,
-0.04266357421875,
0.019073486328125,
0.0161285400390625,
-0.0369873046875,
-0.01424407958984375,
0.052215576171875,
-0.048126220703125,
0.051116943359375,
0.04901123046875,
-0.0626220703125,
-0.00679779052734375,
-0.047698974609375,
0.00... |
cepiloth/ko-llama2-finetune-ex2 | 2023-11-01T07:17:25.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"autotrain",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | cepiloth | null | null | cepiloth/ko-llama2-finetune-ex2 | 0 | 809 | transformers | 2023-10-26T08:52:53 | ---
tags:
- autotrain
- text-generation
widget:
- text: "I love AutoTrain because "
---
# Model Trained Using AutoTrain
# License
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License, under LLAMA 2 COMMUNITY LICENSE AGREEMENT
This model was created as a personal experiment, unrelated... | 352 | [
[
-0.0023097991943359375,
-0.00373077392578125,
0.0294189453125,
0.018951416015625,
-0.040191650390625,
0.004589080810546875,
0.03228759765625,
-0.04443359375,
0.007526397705078125,
0.0341796875,
-0.06005859375,
-0.006908416748046875,
-0.03826904296875,
0.0228... |
it5/it5-large-news-summarization | 2022-03-09T07:53:26.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"tensorboard",
"t5",
"text2text-generation",
"italian",
"sequence-to-sequence",
"fanpage",
"ilpost",
"summarization",
"it",
"dataset:ARTeLab/fanpage",
"dataset:ARTeLab/ilpost",
"arxiv:2203.03759",
"license:apache-2.0",
"co2_eq_emissions",
"... | summarization | it5 | null | null | it5/it5-large-news-summarization | 0 | 808 | transformers | 2022-03-02T23:29:05 | ---
language:
- it
license: apache-2.0
datasets:
- ARTeLab/fanpage
- ARTeLab/ilpost
tags:
- italian
- sequence-to-sequence
- fanpage
- ilpost
- summarization
widget:
- text: "Non lo vuole sposare. E’ quanto emerge all’interno dell’ultima intervista di Raffaella Fico che, ringraziando Mancini per i buoni consigli elargi... | 9,449 | [
[
-0.036773681640625,
-0.01336669921875,
0.01415252685546875,
0.0369873046875,
-0.034576416015625,
-0.002532958984375,
-0.025909423828125,
-0.00354766845703125,
0.032318115234375,
0.0199737548828125,
-0.038970947265625,
-0.057586669921875,
-0.049072265625,
0.0... |
facebook/data2vec-vision-base-ft1k | 2022-05-03T15:08:31.000Z | [
"transformers",
"pytorch",
"tf",
"data2vec-vision",
"image-classification",
"vision",
"dataset:imagenet",
"dataset:imagenet-1k",
"arxiv:2202.03555",
"arxiv:2106.08254",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | image-classification | facebook | null | null | facebook/data2vec-vision-base-ft1k | 1 | 808 | transformers | 2022-04-14T08:09:21 | ---
license: apache-2.0
tags:
- image-classification
- vision
datasets:
- imagenet
- imagenet-1k
---
# Data2Vec-Vision (base-sized model, fine-tuned on ImageNet-1k)
BEiT model pre-trained in a self-supervised fashion and fine-tuned on ImageNet-1k (1,2 million images, 1000 classes) at resolution 224x224. It was intro... | 5,162 | [
[
-0.0256195068359375,
-0.042572021484375,
-0.006595611572265625,
-0.0016183853149414062,
-0.0180206298828125,
-0.0251922607421875,
-0.00891876220703125,
-0.047607421875,
-0.0002332925796508789,
0.03369140625,
-0.03790283203125,
-0.0450439453125,
-0.04617309570312... |
circulus/sd-photoreal-semi-v2 | 2023-01-15T07:44:06.000Z | [
"diffusers",
"generative ai",
"stable-diffusion",
"image-to-image",
"realism",
"art",
"text-to-image",
"en",
"license:gpl-3.0",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | circulus | null | null | circulus/sd-photoreal-semi-v2 | 3 | 808 | diffusers | 2023-01-15T06:12:45 | ---
license: gpl-3.0
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- generative ai
- stable-diffusion
- image-to-image
- realism
- art
---
Photoreal Semi v2
Finetuned Stable Diffusion 1.5 for generating images
 | 274 | [
[
-0.040130615234375,
-0.06488037109375,
0.01520538330078125,
0.029296875,
-0.041473388671875,
-0.00949859619140625,
0.016998291015625,
-0.005962371826171875,
0.0032253265380859375,
0.032928466796875,
-0.0243682861328125,
-0.032470703125,
-0.0189666748046875,
... |
Helsinki-NLP/opus-mt-it-es | 2023-08-16T11:58:52.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"it",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us",
"has_space"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-it-es | 0 | 807 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-it-es
* source languages: it
* target languages: es
* OPUS readme: [it-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/it-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 818 | [
[
-0.017822265625,
-0.02789306640625,
0.0160369873046875,
0.033935546875,
-0.038818359375,
-0.016937255859375,
-0.035552978515625,
0.0018062591552734375,
0.006786346435546875,
0.0311126708984375,
-0.049102783203125,
-0.0499267578125,
-0.043060302734375,
0.0138... |
llm-book/bert-base-japanese-v3-jnli | 2023-07-24T06:49:14.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"ja",
"dataset:llm-book/JGLUE",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | llm-book | null | null | llm-book/bert-base-japanese-v3-jnli | 0 | 807 | transformers | 2023-06-12T14:15:16 | ---
language:
- ja
license: apache-2.0
library_name: transformers
datasets:
- llm-book/JGLUE
pipeline_tag: text-classification
---
# bert-base-japanese-v3-jnli
「[大規模言語モデル入門](https://www.amazon.co.jp/dp/4297136333)」の第5章で紹介している(自然言語推論)のモデルです。
[cl-tohoku/bert-base-japanese-v3](https://huggingface.co/cl-tohoku/bert-base-... | 1,364 | [
[
-0.0292816162109375,
-0.052093505859375,
0.0167694091796875,
0.02545166015625,
-0.0280914306640625,
-0.0113525390625,
-0.0192413330078125,
-0.03369140625,
0.034454345703125,
0.038360595703125,
-0.0555419921875,
-0.05181884765625,
-0.033203125,
0.019515991210... |
abin-regi/my-pet-dog-xzk | 2023-08-10T10:18:50.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | abin-regi | null | null | abin-regi/my-pet-dog-xzk | 0 | 807 | diffusers | 2023-08-10T10:14:54 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog-xzk Dreambooth model trained by abin-regi following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: VJCET421
Sample pictures of this concept:
![0](https://hugging... | 497 | [
[
-0.0616455078125,
-0.018402099609375,
0.0204315185546875,
0.0055389404296875,
-0.0178375244140625,
0.03558349609375,
0.0247802734375,
-0.039093017578125,
0.05462646484375,
0.0204010009765625,
-0.0596923828125,
-0.0287322998046875,
-0.0098724365234375,
0.0040... |
Yntec/elldrethSLucidMix | 2023-09-27T13:34:20.000Z | [
"diffusers",
"General",
"Elldreth",
"Dream",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/elldrethSLucidMix | 1 | 807 | diffusers | 2023-09-27T12:00:38 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- General
- Elldreth
- Dream
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
This model with the zVAE baked in.
Original Page: https://huggingface.co/danbrown/elldreth-lucid-mix
Sample and pro... | 680 | [
[
-0.031097412109375,
-0.054840087890625,
0.0232696533203125,
0.01018524169921875,
0.002559661865234375,
0.00249481201171875,
0.016876220703125,
-0.04638671875,
0.08349609375,
0.04071044921875,
-0.068359375,
-0.03326416015625,
-0.0170135498046875,
-0.025817871... |
thtang/ALL_862873 | 2023-10-27T10:29:31.000Z | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"mteb",
"model-index",
"endpoints_compatible",
"region:us"
] | feature-extraction | thtang | null | null | thtang/ALL_862873 | 0 | 807 | transformers | 2023-10-27T05:44:00 | ---
tags:
- mteb
model-index:
- name: ALL_862873
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf... | 108,284 | [
[
-0.019561767578125,
-0.060546875,
0.020904541015625,
0.023681640625,
-0.0203094482421875,
-0.03179931640625,
-0.01812744140625,
-0.00024127960205078125,
0.01629638671875,
0.0272064208984375,
-0.0484619140625,
-0.046478271484375,
-0.051727294921875,
-0.001610... |
THUDM/chatglm-6b-int8 | 2023-05-15T13:00:15.000Z | [
"transformers",
"pytorch",
"chatglm",
"glm",
"thudm",
"custom_code",
"zh",
"en",
"endpoints_compatible",
"has_space",
"region:us"
] | null | THUDM | null | null | THUDM/chatglm-6b-int8 | 62 | 806 | transformers | 2023-04-14T08:35:31 | ---
language:
- zh
- en
tags:
- glm
- chatglm
- thudm
---
# ChatGLM-6B-INT8
<p align="center">
👋 Join our <a href="https://join.slack.com/t/chatglm/shared_invite/zt-1udqapmrr-ocT1DS_mxWe6dDY8ahRWzg" target="_blank">Slack</a> and <a href="https://github.com/THUDM/ChatGLM-6B/blob/main/resources/WECHAT.md" target="_b... | 3,201 | [
[
-0.04168701171875,
-0.05621337890625,
0.00457763671875,
0.0267333984375,
-0.0307769775390625,
0.0035953521728515625,
-0.0219573974609375,
-0.027099609375,
0.0145263671875,
0.005916595458984375,
-0.03582763671875,
-0.0389404296875,
-0.0430908203125,
-0.007717... |
aipicasso/manga-diffusion-poc | 2023-09-20T12:53:56.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"stable-diffusion-diffusers",
"arxiv:2112.10752",
"arxiv:2212.03860",
"license:other",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | aipicasso | null | null | aipicasso/manga-diffusion-poc | 4 | 806 | diffusers | 2023-09-19T10:51:54 | ---
license: other
tags:
- stable-diffusion
- text-to-image
- stable-diffusion-diffusers
- diffusers
inference: true
---
# Manga Diffusion PoC Model Card
English: [Click Here](README_en.md)
# はじめに
Manga Diffusion PoC (Proof-of-Concept) はAI Picasso社が作った漫画に特化した画像生成AIです。
Manga Dif... | 4,633 | [
[
-0.044677734375,
-0.062225341796875,
0.03228759765625,
0.0137481689453125,
-0.02838134765625,
-0.010650634765625,
0.0098724365234375,
-0.0172119140625,
0.0251617431640625,
0.01285552978515625,
-0.03302001953125,
-0.044189453125,
-0.04779052734375,
-0.0025730... |
nayohan/ko-ref-llama2-7b-Inst | 2023-10-26T10:48:17.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama-2-ko",
"KoQuality",
"ko",
"dataset:DILAB-HYU/KoQuality",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | nayohan | null | null | nayohan/ko-ref-llama2-7b-Inst | 0 | 806 | transformers | 2023-10-26T08:35:39 | ---
license: apache-2.0
datasets:
- DILAB-HYU/KoQuality
language:
- ko
pipeline_tag: text-generation
tags:
- llama-2-ko
- KoQuality
base_model: hyunseoki/ko-ref-llama2-7b
---
This model is a instruct-tuned ko-ref-llama2-7b model, using only 10% of [Kullm, OIG, KoAlpaca] Instruction dataset.
len10_k100_mppl_n0.1.json -... | 735 | [
[
-0.033599853515625,
-0.049713134765625,
0.0361328125,
0.0207061767578125,
-0.03826904296875,
-0.00018012523651123047,
-0.0009794235229492188,
-0.003787994384765625,
-0.0028896331787109375,
0.0419921875,
-0.058349609375,
-0.0224761962890625,
-0.04180908203125,
... |
timm/beitv2_large_patch16_224.in1k_ft_in22k | 2023-05-08T23:43:21.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-22k",
"arxiv:2208.06366",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/beitv2_large_patch16_224.in1k_ft_in22k | 0 | 805 | timm | 2022-12-23T02:34:24 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-22k
---
# Model card for beitv2_large_patch16_224.in1k_ft_in22k
A BEiT-v2 image classification model. Trained on ImageNet-1k with self-supervised masked image modelling (MIM) using a VQ-KD encoder as a visual tokenizer ... | 3,762 | [
[
-0.03179931640625,
-0.029327392578125,
-0.0015020370483398438,
0.00829315185546875,
-0.039703369140625,
-0.0143280029296875,
-0.00862884521484375,
-0.038421630859375,
0.013916015625,
0.0295867919921875,
-0.0279693603515625,
-0.054473876953125,
-0.055450439453125... |
digiplay/MixTape_RocknRoll_v3punk_bake_fp16 | 2023-07-22T13:31:53.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | digiplay | null | null | digiplay/MixTape_RocknRoll_v3punk_bake_fp16 | 4 | 805 | diffusers | 2023-06-17T16:48:38 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info:
https://civitai.com/models/78292?modelVersionId=90757
Author's DEMO image:
![](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9ba295ba-01dd-4ed8-9b68-3a9084e00129/widt... | 828 | [
[
-0.04583740234375,
-0.024200439453125,
0.02764892578125,
0.0285491943359375,
-0.0333251953125,
-0.01251983642578125,
0.017486572265625,
-0.01180267333984375,
0.049041748046875,
0.022369384765625,
-0.056793212890625,
-0.0401611328125,
-0.02825927734375,
-0.01... |
sentence-transformers/stsb-distilroberta-base-v2 | 2022-06-15T22:26:42.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"jax",
"roberta",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/stsb-distilroberta-base-v2 | 0 | 804 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/stsb-distilroberta-base-v2
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional d... | 3,710 | [
[
-0.0159454345703125,
-0.0635986328125,
0.0225677490234375,
0.033233642578125,
-0.02398681640625,
-0.0224761962890625,
-0.0210113525390625,
-0.00299835205078125,
0.01004791259765625,
0.0231475830078125,
-0.041473388671875,
-0.0333251953125,
-0.059051513671875,
... |
timm/tf_efficientnet_b4.ap_in1k | 2023-04-27T21:19:23.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:1911.09665",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_b4.ap_in1k | 0 | 804 | timm | 2022-12-13T00:03:32 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b4.ap_in1k
A EfficientNet image classification model. Trained on ImageNet-1k with AdvProp (adversarial examples) in Tensorflow by paper authors, ported to PyTorch by Ross Wightman... | 4,544 | [
[
-0.029266357421875,
-0.04150390625,
-0.00774383544921875,
0.005123138427734375,
-0.018035888671875,
-0.034576416015625,
-0.0227508544921875,
-0.031463623046875,
0.01081085205078125,
0.023651123046875,
-0.0243988037109375,
-0.047515869140625,
-0.058135986328125,
... |
team-lucid/hubert-large-korean | 2023-06-30T14:27:34.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"hubert",
"feature-extraction",
"speech",
"audio",
"automatic-speech-recognition",
"custom_code",
"ko",
"arxiv:2106.07447",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | automatic-speech-recognition | team-lucid | null | null | team-lucid/hubert-large-korean | 5 | 804 | transformers | 2023-06-04T07:13:38 | ---
license: apache-2.0
language:
- ko
library_name: transformers
pipeline_tag: automatic-speech-recognition
tags:
- speech
- audio
---
# hubert-large-korean
## Model Details
Hubert(Hidden-Unit BERT)는 Facebook에서 제안한 Speech Representation Learning 모델입니다.
Hubert는 기존의 음성 인식 모델과 달리, 음성 신호를 raw waveform에서 바로 학습하는 s... | 3,079 | [
[
-0.045684814453125,
-0.046112060546875,
0.005863189697265625,
0.0223236083984375,
-0.0120849609375,
0.0016279220581054688,
-0.022369384765625,
-0.020721435546875,
0.0231475830078125,
0.00865936279296875,
-0.04400634765625,
-0.045562744140625,
-0.051177978515625,... |
hashu/my-pet-dog-hsq | 2023-08-10T13:17:18.000Z | [
"diffusers",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | hashu | null | null | hashu/my-pet-dog-hsq | 0 | 804 | diffusers | 2023-08-10T13:13:21 | ---
license: creativeml-openrail-m
tags:
- NxtWave-GenAI-Webinar
- text-to-image
- stable-diffusion
---
### My-Pet-Dog-HSQ Dreambooth model trained by hashu following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: VJCET527
Sample pictures of this concept:
![0](https://huggingface.co... | 389 | [
[
-0.05230712890625,
-0.0306854248046875,
0.03546142578125,
-0.0085296630859375,
-0.0126495361328125,
0.03558349609375,
0.028411865234375,
-0.0222625732421875,
0.038970947265625,
0.036468505859375,
-0.035858154296875,
-0.025726318359375,
-0.01151275634765625,
... |
unitary/multilingual-toxic-xlm-roberta | 2023-08-18T10:43:10.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"arxiv:1703.04009",
"arxiv:1905.12516",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | unitary | null | null | unitary/multilingual-toxic-xlm-roberta | 7 | 803 | transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: text-classification
license: apache-2.0
---
<div align="center">
**⚠️ Disclaimer:**
The huggingface models currently give different results to the detoxify library (see issue [here](https://github.com/unitaryai/detoxify/issues/15)). For the most up to date models we recommend using the models fro... | 11,121 | [
[
-0.011077880859375,
-0.036773681640625,
0.0302734375,
0.01555633544921875,
-0.00029659271240234375,
-0.003467559814453125,
-0.00299835205078125,
-0.036407470703125,
0.007183074951171875,
0.0278167724609375,
-0.03790283203125,
-0.05389404296875,
-0.04714965820312... |
FremyCompany/BioLORD-STAMB2-v1 | 2023-10-06T16:49:00.000Z | [
"sentence-transformers",
"pytorch",
"mpnet",
"feature-extraction",
"sentence-similarity",
"en",
"dataset:FremyCompany/BioLORD-Dataset",
"arxiv:2210.11892",
"license:other",
"endpoints_compatible",
"region:us"
] | sentence-similarity | FremyCompany | null | null | FremyCompany/BioLORD-STAMB2-v1 | 11 | 802 | sentence-transformers | 2022-10-20T19:37:34 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
language: en
license: other
datasets:
- FremyCompany/BioLORD-Dataset
widget:
- source_sentence: bartonellosis
sentences:
- cat scratch disease
- cat scratch wound
- tick-borne orbivirus fever
- cat f... | 6,796 | [
[
-0.00965118408203125,
-0.0567626953125,
0.037322998046875,
-0.0011043548583984375,
-0.0170135498046875,
-0.006160736083984375,
-0.0004398822784423828,
-0.02606201171875,
0.040069580078125,
0.03729248046875,
-0.0267486572265625,
-0.051666259765625,
-0.06149291992... |
timm/convnext_small.in12k | 2023-03-31T22:35:55.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-12k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_small.in12k | 0 | 802 | timm | 2023-01-11T22:35:40 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-12k
---
# Model card for convnext_small.in12k
A ConvNeXt image classification model. Trained in `timm` on ImageNet-12k (a 11821 class subset of full ImageNet-22k) by Ross Wightman.
ImageNet-12k training done on TPUs tha... | 15,764 | [
[
-0.067138671875,
-0.0310211181640625,
-0.0029773712158203125,
0.03594970703125,
-0.030517578125,
-0.01419830322265625,
-0.0130462646484375,
-0.03692626953125,
0.06597900390625,
0.0166473388671875,
-0.0428466796875,
-0.042236328125,
-0.05096435546875,
-0.0028... |
gligen/diffusers-inpainting-text-box | 2023-06-21T19:42:37.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"arxiv:2207.12598",
"arxiv:2112.10752",
"arxiv:2103.00020",
"arxiv:2205.11487",
"arxiv:1910.09700",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | gligen | null | null | gligen/diffusers-inpainting-text-box | 1 | 802 | diffusers | 2023-03-11T03:43:50 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
widget:
- text: "A high tech solarpunk utopia in the Amazon rainforest"
example_title: Amazon rainforest
- text: "A pikachu fine dining with a view to the Eiffel Tower"
example_title: Pikachu in Paris
- text: "A... | 17,063 | [
[
-0.0295867919921875,
-0.06103515625,
0.037078857421875,
0.018280029296875,
-0.0161590576171875,
-0.0352783203125,
-0.0010528564453125,
-0.021697998046875,
-0.00891876220703125,
0.03302001953125,
-0.0204925537109375,
-0.0352783203125,
-0.04534912109375,
-0.01... |
uer/roberta-base-finetuned-chinanews-chinese | 2023-10-17T15:20:11.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"zh",
"arxiv:1909.05658",
"arxiv:2212.06385",
"arxiv:1708.02657",
"endpoints_compatible",
"region:us"
] | text-classification | uer | null | null | uer/roberta-base-finetuned-chinanews-chinese | 30 | 801 | transformers | 2022-03-02T23:29:05 | ---
language: zh
widget:
- text: "这本书真的很不错"
---
# Chinese RoBERTa-Base Models for Text Classification
## Model description
This is the set of 5 Chinese RoBERTa-Base classification models fine-tuned by [UER-py](https://github.com/dbiir/UER-py/), which is introduced in [this paper](https://arxiv.org/abs/1909.05658).... | 5,561 | [
[
-0.02069091796875,
-0.034820556640625,
0.016357421875,
0.0274810791015625,
-0.0264739990234375,
-0.02557373046875,
-0.038421630859375,
-0.03448486328125,
-0.0008172988891601562,
0.023101806640625,
-0.034881591796875,
-0.04547119140625,
-0.041259765625,
0.006... |
timm/maxvit_large_tf_384.in21k_ft_in1k | 2023-05-11T00:10:09.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2204.01697",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_large_tf_384.in21k_ft_in1k | 0 | 801 | timm | 2022-12-02T21:52:59 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for maxvit_large_tf_384.in21k_ft_in1k
An official MaxViT image classification model. Pretrained in tensorflow on ImageNet-21k (21843 Google specific instance of ImageNet-22k) and fine-... | 22,291 | [
[
-0.052947998046875,
-0.031524658203125,
0.0013437271118164062,
0.03173828125,
-0.0255279541015625,
-0.0174102783203125,
-0.0124359130859375,
-0.0252838134765625,
0.0538330078125,
0.016510009765625,
-0.0419921875,
-0.046356201171875,
-0.04754638671875,
-0.004... |
timm/tf_efficientnet_b2.ap_in1k | 2023-04-27T21:17:59.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:1911.09665",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_b2.ap_in1k | 0 | 801 | timm | 2022-12-13T00:02:17 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b2.ap_in1k
A EfficientNet image classification model. Trained on ImageNet-1k with AdvProp (adversarial examples) in Tensorflow by paper authors, ported to PyTorch by Ross Wightman... | 4,539 | [
[
-0.0287017822265625,
-0.04217529296875,
-0.0082244873046875,
0.005096435546875,
-0.01806640625,
-0.033721923828125,
-0.0233154296875,
-0.0322265625,
0.0101165771484375,
0.023712158203125,
-0.023712158203125,
-0.046142578125,
-0.058563232421875,
-0.0134353637... |
timm/regnety_032.ra_in1k | 2023-03-21T06:38:20.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2003.13678",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/regnety_032.ra_in1k | 0 | 801 | timm | 2023-03-21T06:38:10 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for regnety_032.ra_in1k
A RegNetY-3.2GF image classification model. Trained on ImageNet-1k by Ross Wightman in `timm`.
The `timm` RegNet implementation includes a number of enhancements not present i... | 15,533 | [
[
-0.06011962890625,
-0.016754150390625,
-0.01306915283203125,
0.036651611328125,
-0.031890869140625,
-0.008331298828125,
-0.0107879638671875,
-0.039794921875,
0.07568359375,
0.0055999755859375,
-0.050689697265625,
-0.038055419921875,
-0.047576904296875,
0.003... |
timm/deit_small_distilled_patch16_224.fb_in1k | 2023-03-28T01:33:36.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2012.12877",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/deit_small_distilled_patch16_224.fb_in1k | 0 | 801 | timm | 2023-03-28T01:33:21 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for deit_small_distilled_patch16_224.fb_in1k
A DeiT image classification model. Trained on ImageNet-1k using distillation tokens by paper authors.
## Model Details
- **Model Type:** Image classificat... | 3,273 | [
[
-0.03704833984375,
-0.037933349609375,
0.01126861572265625,
0.01284027099609375,
-0.032867431640625,
-0.022125244140625,
-0.016998291015625,
-0.0225067138671875,
0.007007598876953125,
0.01294708251953125,
-0.0400390625,
-0.047454833984375,
-0.059814453125,
0... |
ibm/re2g-reranker-nq | 2023-05-16T14:30:25.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"information retrieval",
"reranking",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | ibm | null | null | ibm/re2g-reranker-nq | 3 | 799 | transformers | 2022-07-29T16:05:21 | ---
tags:
- information retrieval
- reranking
license: apache-2.0
---
# Model Card for NQ Reranker in Re2G
# Model Details
> The approach of RAG, Multi-DPR, and KGI is to train a neural IR (Information Retrieval) component and further train it end-to-end through its impact in generating the correct output.
>
>It ... | 7,423 | [
[
-0.0122222900390625,
-0.0528564453125,
0.0276641845703125,
-0.00183868408203125,
-0.0218048095703125,
0.00543212890625,
-0.02398681640625,
-0.018157958984375,
0.0113372802734375,
0.0201263427734375,
-0.02825927734375,
-0.0318603515625,
-0.054168701171875,
-0... |
tsmatz/mt5_summarize_japanese | 2023-09-12T00:28:02.000Z | [
"transformers",
"pytorch",
"mt5",
"text2text-generation",
"summarization",
"generated_from_trainer",
"ja",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | summarization | tsmatz | null | null | tsmatz/mt5_summarize_japanese | 10 | 799 | transformers | 2022-11-26T10:51:27 | ---
language:
- ja
license: apache-2.0
tags:
- summarization
- generated_from_trainer
- mt5
metrics:
- rouge
widget:
- text: 世界中では約120のワクチンの開発が進められている。英オックスフォード大学の専門家たちはすでに臨床試験を開始している。 新しいアプローチ 多くの従来のワクチンは、弱体化させたウイルスや改変したウイルスなどがもとになっている。しかし今回のワクチンは新しいアプローチに基づいたもので、遺伝子のRNA（リボ核酸）を使う。
筋肉に注射すると、RNAは自己増殖し、新型ウイルスの表面にみられる... | 5,557 | [
[
-0.050506591796875,
-0.040008544921875,
0.0186614990234375,
0.00881195068359375,
-0.01322174072265625,
-0.0023441314697265625,
-0.006999969482421875,
-0.005535125732421875,
0.044342041015625,
0.02410888671875,
-0.049072265625,
-0.048797607421875,
-0.047973632812... |
timm/tf_efficientnet_el.in1k | 2023-04-27T21:29:02.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2003.02838",
"arxiv:1905.11946",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_el.in1k | 0 | 799 | timm | 2022-12-13T00:08:33 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_el.in1k
A EfficientNet-EdgeTPU image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model ... | 4,387 | [
[
-0.03125,
-0.04278564453125,
-0.005275726318359375,
0.00905609130859375,
-0.0202178955078125,
-0.0305938720703125,
-0.0217742919921875,
-0.0289459228515625,
0.01097869873046875,
0.0201416015625,
-0.0256500244140625,
-0.0472412109375,
-0.057403564453125,
-0.0... |
pruas/BENT-PubMedBERT-NER-Disease | 2023-01-11T14:40:58.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"en",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | pruas | null | null | pruas/BENT-PubMedBERT-NER-Disease | 5 | 799 | transformers | 2022-12-13T20:34:00 | ---
language:
- en
pipeline_tag: token-classification
---
Named Entity Recognition (NER) model to recognize disease entities.
[PubMedBERT](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) fine-tuned on the following datasets:
- [NCBI Disease Corpus](https://www.ncbi.nlm.nih.gov/... | 1,443 | [
[
-0.02447509765625,
-0.036651611328125,
0.02288818359375,
0.0022678375244140625,
0.003307342529296875,
0.0035114288330078125,
0.006137847900390625,
-0.04833984375,
0.0484619140625,
0.03302001953125,
-0.0195465087890625,
-0.0447998046875,
-0.040863037109375,
0... |
timm/vit_large_patch14_clip_336.openai | 2023-04-12T17:41:01.000Z | [
"open_clip",
"zero-shot-image-classification",
"clip",
"arxiv:2103.00020",
"arxiv:1908.04913",
"license:apache-2.0",
"region:us"
] | zero-shot-image-classification | timm | null | null | timm/vit_large_patch14_clip_336.openai | 0 | 799 | open_clip | 2023-04-10T18:43:24 | ---
tags:
- zero-shot-image-classification
- clip
library_tag: open_clip
license: apache-2.0
---
# Model card for vit_large_patch14_clip_336.openai
# CLIP (OpenAI model for timm)
## Model Details
The CLIP model was developed by researchers at OpenAI to learn about what contributes to robustness in computer vision ta... | 6,423 | [
[
-0.04327392578125,
-0.0423583984375,
0.0116424560546875,
0.0035953521728515625,
-0.013885498046875,
-0.0146331787109375,
0.0005350112915039062,
-0.05145263671875,
0.01177978515625,
0.03448486328125,
-0.0244293212890625,
-0.031524658203125,
-0.04656982421875,
... |
lcw99/t5-base-korean-text-summary | 2023-04-13T02:30:33.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"t5",
"text2text-generation",
"generated_from_keras_callback",
"ko",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | lcw99 | null | null | lcw99/t5-base-korean-text-summary | 5 | 798 | transformers | 2022-09-24T05:23:31 | ---
language:
- ko
tags:
- generated_from_keras_callback
model-index:
- name: t5-base-korean-text-summary
results: []
---
# t5-base-korean-text-summary
This model is a fine-tuning of [paust/pko-t5-base](https://huggingface.co/paust/pko-t5-base) model using AIHUB "summary and report generation data". This model p... | 2,029 | [
[
-0.02850341796875,
-0.042327880859375,
0.01459503173828125,
0.03485107421875,
-0.040557861328125,
-0.0024204254150390625,
-0.006092071533203125,
-0.0177154541015625,
0.01751708984375,
0.028533935546875,
-0.028167724609375,
-0.051666259765625,
-0.054046630859375,... |
ProomptEngineer/pe-balloon-diffusion-style | 2023-09-01T10:10:19.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:other",
"region:us",
"has_space"
] | text-to-image | ProomptEngineer | null | null | ProomptEngineer/pe-balloon-diffusion-style | 3 | 798 | diffusers | 2023-09-01T10:10:15 | ---
license: other
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: PEBalloonStyle
widget:
- text: PEBalloonStyle
---
# PE Balloon Diffusion [Style]
<h2 id="heading-5">Wondered what things would look... | 934 | [
[
-0.0199127197265625,
-0.0494384765625,
0.015289306640625,
0.014678955078125,
-0.032806396484375,
-0.0032596588134765625,
0.00543212890625,
-0.01288604736328125,
0.033660888671875,
0.02789306640625,
-0.0225830078125,
-0.0073394775390625,
-0.041900634765625,
0... |
GAI-LLM/ko-en-llama2-13b-mixed-v5 | 2023-10-28T07:21:38.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ko",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | GAI-LLM | null | null | GAI-LLM/ko-en-llama2-13b-mixed-v5 | 2 | 798 | transformers | 2023-10-28T07:04:51 | ---
license: cc-by-nc-4.0
language:
- ko
library_name: transformers
pipeline_tag: text-generation
---
**The license is `cc-by-nc-4.0`.**
# **GAI-LLM/ko-en-llama2-13b-mixed-v5**
## Model Details
**Model Developers** Donghoon Oh, Hanmin Myung, Eunyoung Kim (SK C&C G.AI Eng)
**Input** Models input text only.
*... | 1,275 | [
[
-0.0208282470703125,
-0.052764892578125,
0.0268707275390625,
0.048553466796875,
-0.03594970703125,
0.0117340087890625,
-0.005859375,
-0.0298919677734375,
-0.00218963623046875,
0.02520751953125,
-0.057708740234375,
-0.04901123046875,
-0.04449462890625,
0.0089... |
timm/convnextv2_huge.fcmae_ft_in1k | 2023-03-31T23:19:16.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2301.00808",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/convnextv2_huge.fcmae_ft_in1k | 0 | 797 | timm | 2023-01-05T01:42:49 | ---
tags:
- image-classification
- timm
library_tag: timm
license: cc-by-nc-4.0
datasets:
- imagenet-1k
- imagenet-1k
---
# Model card for convnextv2_huge.fcmae_ft_in1k
A ConvNeXt-V2 image classification model. Pretrained with a fully convolutional masked autoencoder framework (FCMAE) and fine-tuned on ImageNet-1k.
#... | 15,794 | [
[
-0.0692138671875,
-0.031402587890625,
-0.0052337646484375,
0.038055419921875,
-0.032196044921875,
-0.0158843994140625,
-0.01282501220703125,
-0.03546142578125,
0.06451416015625,
0.017730712890625,
-0.044586181640625,
-0.03961181640625,
-0.05316162109375,
-0.... |
stablediffusionapi/realistic-vision | 2023-08-31T04:48:32.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/realistic-vision | 1 | 797 | diffusers | 2023-01-31T14:11:06 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# realistic vision API Inference
## Get API Key
Get API... | 2,473 | [
[
-0.03302001953125,
-0.057373046875,
0.040924072265625,
0.014892578125,
-0.0389404296875,
0.00640106201171875,
0.0236663818359375,
-0.042144775390625,
0.04010009765625,
0.045745849609375,
-0.06256103515625,
-0.06146240234375,
-0.0271148681640625,
-0.002212524... |
MoritzLaurer/ernie-m-large-mnli-xnli | 2023-03-20T08:28:34.000Z | [
"transformers",
"pytorch",
"safetensors",
"ernie_m",
"text-classification",
"zero-shot-classification",
"nli",
"multilingual",
"en",
"ar",
"bg",
"de",
"el",
"es",
"fr",
"hi",
"ru",
"sw",
"th",
"tr",
"ur",
"vi",
"zh",
"dataset:multi_nli",
"dataset:xnli",
"arxiv:2012.... | zero-shot-classification | MoritzLaurer | null | null | MoritzLaurer/ernie-m-large-mnli-xnli | 18 | 796 | transformers | 2023-02-16T18:00:07 | ---
language:
- multilingual
- en
- ar
- bg
- de
- el
- es
- fr
- hi
- ru
- sw
- th
- tr
- ur
- vi
- zh
license: apache-2.0
tags:
- zero-shot-classification
- text-classification
- nli
- pytorch
metrics:
- accuracy
datasets:
- multi_nli
- xnli
pipeline_tag: zero-shot-classification
widget:
- text: "Angel... | 7,031 | [
[
-0.0293731689453125,
-0.0276031494140625,
0.005626678466796875,
0.0117645263671875,
0.0009441375732421875,
-0.0124053955078125,
-0.028167724609375,
-0.04949951171875,
0.025421142578125,
0.0216064453125,
-0.049530029296875,
-0.03570556640625,
-0.040008544921875,
... |
TheBloke/Llama-2-7B-GGML | 2023-09-27T13:00:16.000Z | [
"transformers",
"llama",
"facebook",
"meta",
"pytorch",
"llama-2",
"text-generation",
"en",
"arxiv:2307.09288",
"license:llama2",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Llama-2-7B-GGML | 202 | 796 | transformers | 2023-07-18T17:06:01 | ---
language:
- en
license: llama2
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
model_name: Llama 2 7B
inference: false
model_creator: Meta
model_link: https://huggingface.co/meta-llama/Llama-2-7b-hf
model_type: llama
pipeline_tag: text-generation
quantized_by: TheBloke
base_model: meta-llama/Llama-2-7b-hf
---
... | 22,961 | [
[
-0.039520263671875,
-0.060150146484375,
0.0263214111328125,
0.0235595703125,
-0.036163330078125,
-0.000004708766937255859,
-0.002872467041015625,
-0.049896240234375,
0.0308380126953125,
0.006198883056640625,
-0.042205810546875,
-0.04534912109375,
-0.039642333984... |
facebook/mms-tts-tur | 2023-09-01T16:45:43.000Z | [
"transformers",
"pytorch",
"safetensors",
"vits",
"text-to-audio",
"mms",
"text-to-speech",
"arxiv:2305.13516",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-to-speech | facebook | null | null | facebook/mms-tts-tur | 3 | 796 | transformers | 2023-09-01T16:45:22 |
---
license: cc-by-nc-4.0
tags:
- mms
- vits
pipeline_tag: text-to-speech
---
# Massively Multilingual Speech (MMS): Turkish Text-to-Speech
This repository contains the **Turkish (tur)** language text-to-speech (TTS) model checkpoint.
This model is part of Facebook's [Massively Multilingual Speech](https://arxiv.or... | 3,972 | [
[
-0.027099609375,
-0.06329345703125,
0.01031494140625,
0.02752685546875,
-0.01041412353515625,
-0.00916290283203125,
-0.0219879150390625,
-0.019622802734375,
0.0225982666015625,
0.01593017578125,
-0.056884765625,
-0.03570556640625,
-0.044830322265625,
0.00132... |
Yntec/3DCuteWave | 2023-09-12T18:37:17.000Z | [
"diffusers",
"3D",
"Character",
"Children",
"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/3DCuteWave | 0 | 796 | diffusers | 2023-09-12T17:41:45 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- 3D
- Character
- Children
- StableDiffusionVN
- text-to-image
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
---
# SDVN5-3DCuteWave
Model by SDVN.
Samples and prompt:
![Sample](https://cdn-uploads.huggingface... | 846 | [
[
-0.0404052734375,
-0.06134033203125,
0.0307769775390625,
0.042449951171875,
-0.0284271240234375,
-0.00478363037109375,
0.042327880859375,
-0.0255889892578125,
0.048797607421875,
0.051910400390625,
-0.07037353515625,
-0.04486083984375,
-0.0232391357421875,
-0... |
microsoft/markuplm-large-finetuned-websrc | 2022-09-30T08:58:02.000Z | [
"transformers",
"pytorch",
"markuplm",
"question-answering",
"en",
"dataset:websrc",
"arxiv:2110.08518",
"autotrain_compatible",
"region:us"
] | question-answering | microsoft | null | null | microsoft/markuplm-large-finetuned-websrc | 6 | 795 | transformers | 2022-06-14T13:38:07 | ---
language:
- en
datasets:
- websrc
inference: false
---
# MarkupLM, fine-tuned on WebSRC
**Multimodal (text +markup language) pre-training for [Document AI](https://www.microsoft.com/en-us/research/project/document-ai/)**
## Introduction
MarkupLM is a simple but effective multi-modal pre-training method of t... | 946 | [
[
-0.037811279296875,
-0.05072021484375,
0.0184783935546875,
0.0123748779296875,
-0.031768798828125,
0.016632080078125,
-0.0008778572082519531,
-0.0281982421875,
-0.0217132568359375,
0.0012292861938476562,
-0.04864501953125,
-0.04315185546875,
-0.043548583984375,
... |
TheBloke/CodeLlama-34B-fp16 | 2023-08-25T11:13:52.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-2",
"codellama",
"custom_code",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/CodeLlama-34B-fp16 | 5 | 795 | transformers | 2023-08-24T20:37:55 | ---
license: llama2
tags:
- llama-2
- codellama
---
<!-- 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; margin: auto;">
</div>
<div style="display: flex; ... | 8,591 | [
[
-0.032501220703125,
-0.03961181640625,
0.0158538818359375,
0.0099639892578125,
-0.0159912109375,
0.0108489990234375,
0.00128936767578125,
-0.053497314453125,
0.037200927734375,
0.017913818359375,
-0.052886962890625,
-0.0310516357421875,
-0.03265380859375,
0.... |
NeuML/pubmedbert-base-embeddings | 2023-10-18T14:49:27.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"has_space"
] | sentence-similarity | NeuML | null | null | NeuML/pubmedbert-base-embeddings | 15 | 795 | sentence-transformers | 2023-10-18T14:22:18 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
language: en
license: apache-2.0
---
# PubMedBERT Embeddings
This is a [PubMedBERT-base](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext) model fined-tuned... | 6,120 | [
[
-0.019073486328125,
-0.04876708984375,
0.027252197265625,
0.0115814208984375,
-0.0195770263671875,
-0.0221710205078125,
-0.0164947509765625,
-0.01558685302734375,
0.02947998046875,
0.016387939453125,
-0.032501220703125,
-0.055572509765625,
-0.051788330078125,
... |
sonoisa/sentence-t5-base-ja-mean-tokens | 2022-07-31T07:54:13.000Z | [
"sentence-transformers",
"pytorch",
"t5",
"sentence-t5",
"feature-extraction",
"sentence-similarity",
"ja",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | feature-extraction | sonoisa | null | null | sonoisa/sentence-t5-base-ja-mean-tokens | 3 | 794 | sentence-transformers | 2022-03-02T23:29:05 | ---
language: ja
license: cc-by-sa-4.0
tags:
- sentence-transformers
- sentence-t5
- feature-extraction
- sentence-similarity
---
This is a Japanese sentence-T5 model.
日本語用Sentence-T5モデルです。
事前学習済みモデルとして[sonoisa/t5-base-japanese](https://huggingface.co/sonoisa/t5-base-japanese)を利用しました。
推論の実行にはsentencepieceが必要です（pi... | 2,319 | [
[
-0.01409149169921875,
-0.051666259765625,
0.0211029052734375,
0.019378662109375,
-0.037109375,
-0.017822265625,
-0.0205078125,
-0.00769805908203125,
0.0140380859375,
0.026519775390625,
-0.04638671875,
-0.04705810546875,
-0.06048583984375,
0.00479888916015625... |
speechbrain/asr-crdnn-rnnlm-librispeech | 2021-11-30T00:37:56.000Z | [
"speechbrain",
"automatic-speech-recognition",
"CTC",
"Attention",
"pytorch",
"en",
"dataset:librispeech",
"arxiv:2106.04624",
"license:apache-2.0",
"has_space",
"region:us"
] | automatic-speech-recognition | speechbrain | null | null | speechbrain/asr-crdnn-rnnlm-librispeech | 10 | 794 | speechbrain | 2022-03-02T23:29:05 | ---
language: "en"
thumbnail:
tags:
- automatic-speech-recognition
- CTC
- Attention
- pytorch
- speechbrain
license: "apache-2.0"
datasets:
- librispeech
metrics:
- wer
- cer
---
<iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborder="0" scro... | 4,292 | [
[
-0.0294189453125,
-0.055908203125,
0.008819580078125,
0.0212554931640625,
-0.0216522216796875,
-0.00858306884765625,
-0.0389404296875,
-0.034271240234375,
0.026123046875,
0.01885986328125,
-0.044342041015625,
-0.04779052734375,
-0.052398681640625,
0.00542831... |
finiteautomata/beto-emotion-analysis | 2023-03-29T19:29:54.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"emotion-analysis",
"es",
"arxiv:2106.09462",
"endpoints_compatible",
"region:us"
] | text-classification | finiteautomata | null | null | finiteautomata/beto-emotion-analysis | 7 | 793 | transformers | 2022-03-02T23:29:05 | ---
language:
- es
tags:
- emotion-analysis
---
# Emotion Analysis in Spanish
## beto-emotion-analysis
Repository: [https://github.com/finiteautomata/pysentimiento/](https://github.com/finiteautomata/pysentimiento/)
Model trained with TASS 2020 Task 2 corpus for Emotion detection in Spanish. Base model is [B... | 1,567 | [
[
-0.0164794921875,
-0.04229736328125,
0.0201263427734375,
0.05767822265625,
-0.033721923828125,
-0.006076812744140625,
-0.03497314453125,
-0.039031982421875,
0.036468505859375,
-0.0111236572265625,
-0.036590576171875,
-0.058685302734375,
-0.040283203125,
0.01... |
yanekyuk/bert-keyword-extractor | 2022-06-04T00:51:39.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"generated_from_trainer",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | yanekyuk | null | null | yanekyuk/bert-keyword-extractor | 14 | 793 | transformers | 2022-06-03T23:06:00 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- accuracy
- f1
language:
- en
widget:
- text: "Broadcom agreed to acquire cloud computing company VMware in a $61 billion (€57bn) cash-and stock deal, massively diversifying the chipmaker’s business and almost tripling its software-re... | 4,097 | [
[
-0.041351318359375,
-0.043609619140625,
0.01204681396484375,
0.004764556884765625,
-0.025115966796875,
-0.0182952880859375,
-0.0092315673828125,
-0.0118560791015625,
0.0223388671875,
0.021240234375,
-0.048736572265625,
-0.052490234375,
-0.057861328125,
-0.01... |
TweebankNLP/bertweet-tb2_wnut17-ner | 2022-05-05T00:23:17.000Z | [
"transformers",
"pytorch",
"roberta",
"token-classification",
"arxiv:2201.07281",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | TweebankNLP | null | null | TweebankNLP/bertweet-tb2_wnut17-ner | 3 | 792 | transformers | 2022-05-04T16:50:37 | ---
license: cc-by-nc-4.0
---
## Model Specification
- This is the **state-of-the-art Twitter NER model (with 74.35\% Entity-Level F1)** on Tweebank V2's NER benchmark (also called `Tweebank-NER`), trained on the corpus combining both Tweebank-NER and WNUT 17 training data.
- For more details about the `TweebankNLP` p... | 1,540 | [
[
-0.019287109375,
-0.053741455078125,
-0.0003693103790283203,
0.0295562744140625,
-0.0171966552734375,
0.0164031982421875,
-0.025146484375,
-0.045745849609375,
0.0289764404296875,
0.02008056640625,
-0.0301513671875,
-0.043487548828125,
-0.060302734375,
0.0013... |
yentinglin/Taiwan-LLM-7B-v2.0.1-chat | 2023-11-02T08:44:35.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"zh",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | yentinglin | null | null | yentinglin/Taiwan-LLM-7B-v2.0.1-chat | 18 | 792 | transformers | 2023-10-10T16:30:19 |
---
# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/model-cards
license: apache-2.0
language:
- zh
widget:
- text: >-
A chat between a curious user and an artificial intelligence assist... | 1,494 | [
[
-0.0020160675048828125,
-0.058013916015625,
0.01922607421875,
0.045745849609375,
-0.07733154296875,
0.044219970703125,
-0.00689697265625,
-0.0465087890625,
0.041595458984375,
0.056121826171875,
-0.036285400390625,
-0.041778564453125,
-0.019622802734375,
-0.0... |
bhadresh-savani/electra-base-squad2 | 2023-03-22T09:36:46.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"electra",
"question-answering",
"dataset:squad_v2",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | question-answering | bhadresh-savani | null | null | bhadresh-savani/electra-base-squad2 | 0 | 791 | transformers | 2022-04-13T14:25:23 | ---
datasets:
- squad_v2
license: cc-by-4.0
---
# electra-base for QA
## Overview
**Language model:** electra-base
**Language:** English
**Downstream-task:** Extractive QA
**Training data:** SQuAD 2.0
**Eval data:** SQuAD 2.0
**Code:** See [example](https://github.com/deepset-ai/FARM/blob/master/examples/... | 3,227 | [
[
-0.029388427734375,
-0.04595947265625,
0.021881103515625,
0.00356292724609375,
0.0074462890625,
0.01139068603515625,
-0.005641937255859375,
-0.023345947265625,
0.004360198974609375,
0.0307464599609375,
-0.051788330078125,
-0.035003662109375,
-0.0162506103515625,... |
timm/coatnet_rmlp_2_rw_224.sw_in1k | 2023-05-10T23:48:21.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"arxiv:2111.09883",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/coatnet_rmlp_2_rw_224.sw_in1k | 0 | 791 | timm | 2023-01-20T21:27:42 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for coatnet_rmlp_2_rw_224.sw_in1k
A timm specific CoAtNet (w/ a MLP Log-CPB (continuous log-coordinate relative position bias motivated by Swin-V2) image classification model. Trained in `timm` on Im... | 22,339 | [
[
-0.050079345703125,
-0.0322265625,
0.0014448165893554688,
0.029449462890625,
-0.0224456787109375,
-0.0169830322265625,
-0.011260986328125,
-0.0276031494140625,
0.054534912109375,
0.0157928466796875,
-0.041473388671875,
-0.046630859375,
-0.049072265625,
-0.00... |
drdiffusion/StDiffClo | 2023-03-06T13:35:00.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"arxiv:2207.12598",
"arxiv:2112.10752",
"arxiv:2103.00020",
"arxiv:2205.11487",
"arxiv:1910.09700",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | drdiffusion | null | null | drdiffusion/StDiffClo | 0 | 791 | diffusers | 2023-03-06T13:26:39 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
inference: true
extra_gated_prompt: >-
This model is open access and available to all, with a CreativeML OpenRAIL-M
license further specifying rights and usage.
The CreativeML OpenRAIL License specifies:
... | 14,517 | [
[
-0.0296630859375,
-0.07171630859375,
0.034515380859375,
0.02020263671875,
-0.0181732177734375,
-0.0294189453125,
0.00640106201171875,
-0.03326416015625,
-0.01378631591796875,
0.03363037109375,
-0.0236663818359375,
-0.0421142578125,
-0.05328369140625,
-0.0128... |
noamrot/FuseCap_Image_Captioning | 2023-06-08T15:40:51.000Z | [
"transformers",
"pytorch",
"blip",
"text2text-generation",
"image-captioning",
"image-to-text",
"arxiv:2305.17718",
"license:mit",
"autotrain_compatible",
"region:us"
] | image-to-text | noamrot | null | null | noamrot/FuseCap_Image_Captioning | 3 | 791 | transformers | 2023-05-31T07:04:57 | ---
license: mit
inference: false
pipeline_tag: image-to-text
tags:
- image-captioning
---
# FuseCap: Leveraging Large Language Models to Fuse Visual Data into Enriched Image Captions
A framework designed to generate semantically rich image captions.
## Resources
- 💻 **Project Page**: For more details, visit the of... | 2,077 | [
[
-0.021759033203125,
-0.0439453125,
-0.0029125213623046875,
0.02740478515625,
-0.02215576171875,
0.01708984375,
-0.0195465087890625,
-0.04931640625,
0.007282257080078125,
0.04547119140625,
-0.0360107421875,
-0.0249176025390625,
-0.03826904296875,
0.0072479248... |
DAMO-NLP-SG/zero-shot-classify-SSTuning-XLM-R | 2023-09-09T13:17:19.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"Zero-Shot Classification",
"zero-shot-classification",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",... | zero-shot-classification | DAMO-NLP-SG | null | null | DAMO-NLP-SG/zero-shot-classify-SSTuning-XLM-R | 6 | 791 | transformers | 2023-08-14T03:29:20 | ---
inference: false
license: mit
tags:
- Zero-Shot Classification
language:
- multilingual
- af
- am
- ar
- as
- az
- be
- bg
- bn
- br
- bs
- ca
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- he
- hi
- hr
- hu
- hy
- id
- is
- it
- ja
- jv
- ka
- kk
- km
- kn
- ko
- k... | 5,798 | [
[
-0.01442718505859375,
-0.045654296875,
0.0136260986328125,
0.01116943359375,
-0.01934814453125,
0.00458526611328125,
-0.01824951171875,
-0.035797119140625,
0.01241302490234375,
0.0276031494140625,
-0.0372314453125,
-0.057708740234375,
-0.052337646484375,
0.0... |
Hate-speech-CNERG/bert-base-uncased-hatexplain-rationale-two | 2022-06-24T09:45:07.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"en",
"dataset:hatexplain",
"arxiv:2012.10289",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | Hate-speech-CNERG | null | null | Hate-speech-CNERG/bert-base-uncased-hatexplain-rationale-two | 7 | 790 | transformers | 2022-03-02T23:29:04 | ---
language: en
license: apache-2.0
datasets:
- hatexplain
---
## Table of Contents
- [Model Details](#model-details)
- [How to Get Started With the Model](#how-to-get-started-with-the-model)
- [Uses](#uses)
- [Risks, Limitations and Biases](#risks-limitations-and-biases)
- [Training](#training)
- [Evaluation](#ev... | 4,853 | [
[
-0.034820556640625,
-0.057830810546875,
0.01345062255859375,
0.005802154541015625,
-0.0007009506225585938,
-0.022308349609375,
-0.016357421875,
-0.04302978515625,
-0.0071258544921875,
0.02587890625,
-0.03900146484375,
-0.0367431640625,
-0.07037353515625,
-0.... |
Helsinki-NLP/opus-mt-en-uk | 2023-08-16T11:31:36.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"uk",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-en-uk | 5 | 790 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-uk
* source languages: en
* target languages: uk
* OPUS readme: [en-uk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-uk/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 818 | [
[
-0.015106201171875,
-0.0217437744140625,
0.0163116455078125,
0.026153564453125,
-0.035552978515625,
-0.0304412841796875,
-0.028564453125,
-0.0082550048828125,
0.0005617141723632812,
0.032806396484375,
-0.05194091796875,
-0.041290283203125,
-0.04254150390625,
... |
timm/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k | 2023-05-06T00:02:44.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:laion-2b",
"dataset:imagenet-12k",
"arxiv:2212.07143",
"arxiv:2210.08402",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_base_patch16_clip_384.laion2b_ft_in12k_in1k | 1 | 790 | timm | 2022-11-11T08:23:13 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- laion-2b
- imagenet-12k
---
# Model card for vit_base_patch16_clip_384.laion2b_ft_in12k_in1k
A Vision Transformer (ViT) image classification model. Pretrained on LAION-2B image-text pairs using OpenCLIP. Fine-tuned... | 5,762 | [
[
-0.0294036865234375,
-0.0275115966796875,
0.00902557373046875,
0.0104522705078125,
-0.0267333984375,
-0.032989501953125,
-0.033416748046875,
-0.0305328369140625,
0.00939178466796875,
0.0274505615234375,
-0.0304718017578125,
-0.042999267578125,
-0.050811767578125... |
timm/mixnet_xl.ra_in1k | 2023-04-27T21:13:58.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:1907.09595",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/mixnet_xl.ra_in1k | 0 | 790 | timm | 2022-12-12T23:59:55 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for mixnet_xl.ra_in1k
A MixNet image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* RandAugment `RA` recipe. Inspired by and evolved... | 4,579 | [
[
-0.04095458984375,
-0.033721923828125,
-0.00750732421875,
0.007030487060546875,
-0.02374267578125,
-0.0229339599609375,
-0.01334381103515625,
-0.03271484375,
0.034881591796875,
0.03338623046875,
-0.038970947265625,
-0.04931640625,
-0.054290771484375,
-0.0066... |
timm/eva_large_patch14_336.in22k_ft_in1k | 2023-03-31T06:16:16.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2211.07636",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/eva_large_patch14_336.in22k_ft_in1k | 0 | 790 | timm | 2022-12-22T07:09:58 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for eva_large_patch14_336.in22k_ft_in1k
An EVA image classification model. Pretrained on ImageNet-22k with masked image modeling (using EVA-CLIP as a MIM teacher) and fine-tuned on ImageNet-1k... | 4,999 | [
[
-0.049468994140625,
-0.029998779296875,
0.007541656494140625,
0.01001739501953125,
-0.02093505859375,
0.0014486312866210938,
-0.01409149169921875,
-0.0300140380859375,
0.0440673828125,
0.03277587890625,
-0.035858154296875,
-0.053924560546875,
-0.0526123046875,
... |
timm/flexivit_base.1200ep_in1k | 2023-05-05T23:58:52.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2212.08013",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/flexivit_base.1200ep_in1k | 0 | 790 | timm | 2022-12-22T07:14:41 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for flexivit_base.1200ep_in1k
A FlexiViT image classification model. Trained on ImageNet-1k in JAX by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model Type:** Image cla... | 3,699 | [
[
-0.037628173828125,
-0.02825927734375,
0.004428863525390625,
0.005268096923828125,
-0.026031494140625,
-0.0290069580078125,
-0.018585205078125,
-0.03631591796875,
0.0158538818359375,
0.01666259765625,
-0.0428466796875,
-0.040679931640625,
-0.04541015625,
-0.... |
nickprock/setfit-italian-hate-speech | 2023-06-29T15:48:18.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"feature-extraction",
"setfit",
"sentence-transformers",
"text-classification",
"hate speech",
"it",
"arxiv:2209.11055",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | nickprock | null | null | nickprock/setfit-italian-hate-speech | 1 | 790 | transformers | 2023-03-23T08:28:01 | ---
license: apache-2.0
tags:
- setfit
- sentence-transformers
- text-classification
- hate speech
pipeline_tag: text-classification
language:
- it
metrics:
- accuracy
library_name: transformers
---
# setfit-italian-hate-speech
This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text ... | 2,560 | [
[
-0.0279083251953125,
-0.06768798828125,
0.0131988525390625,
-0.004940032958984375,
-0.004962921142578125,
-0.00713348388671875,
-0.02606201171875,
-0.035552978515625,
0.0148162841796875,
0.01284027099609375,
-0.044921875,
-0.040496826171875,
-0.04583740234375,
... |
timm/dm_nfnet_f1.dm_in1k | 2023-03-24T00:49:25.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2102.06171",
"arxiv:2101.08692",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/dm_nfnet_f1.dm_in1k | 0 | 790 | timm | 2023-03-24T00:47:46 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for dm_nfnet_f1.dm_in1k
A NFNet (Normalization Free Network) image classification model. Trained on ImageNet-1k by paper authors.
Normalization Free Networks are (pre-activation) ResNet-like models w... | 4,746 | [
[
-0.0389404296875,
-0.037261962890625,
-0.0043792724609375,
0.01018524169921875,
-0.028472900390625,
-0.0244293212890625,
-0.0196075439453125,
-0.0305328369140625,
0.020751953125,
0.03387451171875,
-0.035736083984375,
-0.051666259765625,
-0.05889892578125,
0.... |
timm/crossvit_18_dagger_408.in1k | 2023-04-24T00:33:43.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2103.14899",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/crossvit_18_dagger_408.in1k | 0 | 790 | timm | 2023-04-24T00:32:56 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for crossvit_18_dagger_408.in1k
A CrossViT image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model S... | 2,831 | [
[
-0.034332275390625,
-0.0263824462890625,
-0.00431060791015625,
0.017852783203125,
-0.0281829833984375,
-0.0203857421875,
-0.00382232666015625,
-0.027923583984375,
0.01488494873046875,
0.026580810546875,
-0.043853759765625,
-0.04571533203125,
-0.056243896484375,
... |
timm/tf_efficientnet_b5.ra_in1k | 2023-04-27T21:21:57.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:1909.13719",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_b5.ra_in1k | 0 | 789 | timm | 2022-12-13T00:04:33 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b5.ra_in1k
A EfficientNet image classification model. Trained on ImageNet-1k with rand-augment in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Detai... | 4,581 | [
[
-0.032562255859375,
-0.039947509765625,
-0.00453948974609375,
0.006267547607421875,
-0.019256591796875,
-0.0308837890625,
-0.0230712890625,
-0.03289794921875,
0.01348876953125,
0.0253143310546875,
-0.031524658203125,
-0.0479736328125,
-0.055328369140625,
-0.... |
timm/tf_efficientnetv2_xl.in21k | 2023-04-27T22:18:06.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-21k",
"arxiv:2104.00298",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnetv2_xl.in21k | 0 | 789 | timm | 2022-12-13T00:19:38 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-21k
---
# Model card for tf_efficientnetv2_xl.in21k
A EfficientNet-v2 image classification model. Trained on ImageNet-21k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model ... | 4,083 | [
[
-0.0262908935546875,
-0.033477783203125,
-0.004604339599609375,
0.006221771240234375,
-0.0224151611328125,
-0.03070068359375,
-0.021697998046875,
-0.029876708984375,
0.01104736328125,
0.0293426513671875,
-0.022857666015625,
-0.045928955078125,
-0.054229736328125... |
timm/vit_relpos_base_patch16_224.sw_in1k | 2023-05-05T22:04:13.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2111.09883",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_relpos_base_patch16_224.sw_in1k | 0 | 789 | timm | 2022-12-23T00:19:18 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for vit_relpos_base_patch16_224.sw_in1k
A Vision Transformer (ViT) image classification model. This is a `timm` specific variation of the ViT architecture with relative position embeddings, no class ... | 4,169 | [
[
-0.034454345703125,
-0.0266571044921875,
-0.004772186279296875,
0.011383056640625,
-0.03045654296875,
-0.0250396728515625,
-0.0178070068359375,
-0.037689208984375,
0.0218658447265625,
0.029083251953125,
-0.042724609375,
-0.0399169921875,
-0.052154541015625,
... |
clefourrier/graphormer-base-pcqm4mv2 | 2023-02-07T16:34:59.000Z | [
"transformers",
"pytorch",
"graphormer",
"graphs",
"graph-ml",
"arxiv:2106.05234",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | graph-ml | clefourrier | null | null | clefourrier/graphormer-base-pcqm4mv2 | 34 | 789 | transformers | 2023-01-05T10:10:57 | ---
license: mit
tags:
- graphs
pipeline_tag: graph-ml
---
# Model Card for pcqm4mv2_graphormer_base
The Graphormer is a graph classification model.
# Model Details
## Model Description
The Graphormer is a graph Transformer model, pretrained on PCQM4M-LSCv2.
- **Developed by:** Microsoft
- **Model type:** Grapho... | 1,973 | [
[
-0.037933349609375,
-0.0257110595703125,
0.0180206298828125,
-0.022430419921875,
-0.0209503173828125,
0.01047515869140625,
0.0203399658203125,
-0.0308380126953125,
-0.00736236572265625,
0.04638671875,
-0.0237884521484375,
-0.0491943359375,
-0.052093505859375,
... |
timm/rexnet_200.nav_in1k | 2023-03-20T20:36:03.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2007.00992",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/rexnet_200.nav_in1k | 0 | 788 | timm | 2023-03-20T20:35:49 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for rexnet_200.nav_in1k
A ReXNet image classification model. Pretrained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- Pa... | 4,575 | [
[
-0.043121337890625,
-0.02728271484375,
0.006343841552734375,
-0.00165557861328125,
-0.03204345703125,
-0.0205535888671875,
-0.013458251953125,
-0.02386474609375,
0.0297698974609375,
0.0243682861328125,
-0.033294677734375,
-0.054351806640625,
-0.047393798828125,
... |
google/owlv2-large-patch14-finetuned | 2023-10-23T09:19:27.000Z | [
"transformers",
"pytorch",
"owlv2",
"zero-shot-object-detection",
"vision",
"object-detection",
"arxiv:2306.09683",
"license:apache-2.0",
"region:us"
] | object-detection | google | null | null | google/owlv2-large-patch14-finetuned | 1 | 788 | transformers | 2023-10-14T08:46:56 | ---
license: apache-2.0
tags:
- vision
- object-detection
inference: false
---
# Model Card: OWLv2
## Model Details
The OWLv2 model (short for Open-World Localization) was proposed in [Scaling Open-Vocabulary Object Detection](https://arxiv.org/abs/2306.09683) by Matthias Minderer, Alexey Gritsenko, Neil Houlsby. OW... | 4,830 | [
[
-0.0245513916015625,
-0.0513916015625,
0.0255584716796875,
-0.014007568359375,
-0.0213470458984375,
-0.0355224609375,
-0.00350189208984375,
-0.06787109375,
0.002658843994140625,
0.03131103515625,
-0.0241851806640625,
-0.04791259765625,
-0.048065185546875,
0.... |
HooshvareLab/albert-fa-zwnj-base-v2 | 2021-03-16T16:36:38.000Z | [
"transformers",
"pytorch",
"tf",
"albert",
"fill-mask",
"fa",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | HooshvareLab | null | null | HooshvareLab/albert-fa-zwnj-base-v2 | 2 | 787 | transformers | 2022-03-02T23:29:04 | ---
language: fa
license: apache-2.0
---
# ALBERT-Persian
A Lite BERT for Self-supervised Learning of Language Representations for the Persian Language
> میتونی بهش بگی برت_کوچولو
> Call it little_berty
### BibTeX entry and citation info
Please cite in your publication as the following:
```bibtex
@misc{ALBERTPe... | 739 | [
[
-0.0357666015625,
-0.034393310546875,
0.0266265869140625,
0.0310211181640625,
-0.0195770263671875,
0.0219573974609375,
-0.0285797119140625,
-0.00237274169921875,
0.0406494140625,
0.0209808349609375,
-0.0183868408203125,
-0.04351806640625,
-0.03839111328125,
... |
IDEA-CCNL/Taiyi-CLIP-RoBERTa-102M-ViT-L-Chinese | 2023-05-25T09:49:06.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"feature-extraction",
"clip",
"zh",
"image-text",
"arxiv:2209.02970",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | IDEA-CCNL | null | null | IDEA-CCNL/Taiyi-CLIP-RoBERTa-102M-ViT-L-Chinese | 15 | 787 | transformers | 2022-09-27T13:12:18 | ---
license: apache-2.0
# inference: false
# pipeline_tag: zero-shot-image-classification
pipeline_tag: feature-extraction
# inference:
# parameters:
tags:
- clip
- zh
- image-text
- feature-extraction
---
# Taiyi-CLIP-RoBERTa-102M-ViT-L-Chinese
- Main Page:[Fengshenbang](https://fengshenbang-lm.com/)
- Github: [F... | 5,338 | [
[
-0.0333251953125,
-0.0604248046875,
0.016387939453125,
0.0283660888671875,
-0.03369140625,
-0.01517486572265625,
-0.04083251953125,
-0.0280609130859375,
0.033538818359375,
0.01297760009765625,
-0.04132080078125,
-0.045013427734375,
-0.04345703125,
0.00490570... |
google/matcha-chartqa | 2023-07-22T19:34:59.000Z | [
"transformers",
"pytorch",
"pix2struct",
"text2text-generation",
"matcha",
"visual-question-answering",
"en",
"fr",
"ro",
"de",
"multilingual",
"arxiv:2212.09662",
"license:apache-2.0",
"autotrain_compatible",
"has_space",
"region:us"
] | visual-question-answering | google | null | null | google/matcha-chartqa | 20 | 787 | transformers | 2023-04-03T11:01:11 | ---
language:
- en
- fr
- ro
- de
- multilingual
inference: false
pipeline_tag: visual-question-answering
license: apache-2.0
tags:
- matcha
---
# Model card for MatCha - fine-tuned on ChartQA
<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/model_doc/matc... | 4,372 | [
[
-0.038330078125,
-0.052337646484375,
0.021270751953125,
0.0174560546875,
-0.019256591796875,
-0.0277862548828125,
-0.01045989990234375,
-0.03192138671875,
0.007099151611328125,
0.0335693359375,
-0.048980712890625,
-0.020294189453125,
-0.052337646484375,
-0.0... |
ProomptEngineer/pe-shitty-fanart | 2023-09-11T15:29:56.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:other",
"region:us",
"has_space"
] | text-to-image | ProomptEngineer | null | null | ProomptEngineer/pe-shitty-fanart | 2 | 787 | diffusers | 2023-09-11T15:29:53 | ---
license: other
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: PETerribleFanArt
widget:
- text: PETerribleFanArt
---
# PE Shitty FanArt
<h2 id="heading-7">Sick of perfect AI Images? Then use thi... | 844 | [
[
-0.0267791748046875,
-0.045196533203125,
0.0298004150390625,
0.0111846923828125,
-0.042877197265625,
-0.023162841796875,
0.0433349609375,
-0.0377197265625,
0.046356201171875,
0.057159423828125,
-0.051605224609375,
-0.01383209228515625,
-0.036376953125,
0.008... |
artificialguybr/IconsRedmond-IconsLoraForSDXL-V2 | 2023-10-07T01:34:25.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | text-to-image | artificialguybr | null | null | artificialguybr/IconsRedmond-IconsLoraForSDXL-V2 | 3 | 787 | diffusers | 2023-09-26T05:09:08 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: icredm
widget:
- text: icons
---
# Icons.Redmond V2!
Icons.Redmond V2 is here!
I'm grateful for the GPU time from Redmo... | 1,091 | [
[
-0.03814697265625,
-0.03619384765625,
0.023895263671875,
0.03619384765625,
-0.033355712890625,
0.005645751953125,
0.02398681640625,
-0.061309814453125,
0.0833740234375,
0.047515869140625,
-0.052093505859375,
-0.033050537109375,
-0.0221405029296875,
-0.010780... |
WisdomShell/CodeShell-7B | 2023-11-01T11:52:22.000Z | [
"transformers",
"pytorch",
"safetensors",
"kclgpt",
"text-generation",
"codeshell",
"wisdomshell",
"pku-kcl",
"openbankai",
"custom_code",
"zh",
"en",
"has_space",
"region:us"
] | text-generation | WisdomShell | null | null | WisdomShell/CodeShell-7B | 64 | 787 | transformers | 2023-10-05T16:31:11 | ---
language:
- zh
- en
tags:
- codeshell
- wisdomshell
- pku-kcl
- openbankai
---
# CodeShell
CodeShell是[北京大学知识计算实验室](http://se.pku.edu.cn/kcl/)联合四川天府银行AI团队研发的多语言代码大模型基座。CodeShell具有70亿参数，在五千亿Tokens进行了训练，上下文窗口长度为8194。在权威的代码评估Benchmark（HumanEval与MBPP）上，CodeShell取得同等规模最好的性能。与此同时，我们提供了与CodeShell配套的部署方案与IDE插件，请参考代码库[Code... | 8,363 | [
[
-0.0283203125,
-0.0355224609375,
0.01308441162109375,
0.01947021484375,
-0.02874755859375,
0.0016193389892578125,
-0.01727294921875,
-0.046051025390625,
0.01126861572265625,
0.031982421875,
-0.038604736328125,
-0.0673828125,
-0.0443115234375,
0.0158538818359... |
irodkin/gpt2-wiki2 | 2023-10-31T13:03:07.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"en",
"dataset:wikitext-2-v1",
"dataset:wikitext",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | irodkin | null | null | irodkin/gpt2-wiki2 | 0 | 786 | transformers | 2023-09-07T14:55:53 | ---
datasets:
- wikitext-2-v1
- wikitext
language:
- en
metrics:
- perplexity
- cross_entropy
---
**metrics on 1024 context**:
- valid_perplexity = 14.79
- valid_cross_entropy = 2.69
- train_perplexity = 13.77
- train_cross_entropy = 2.62
**metrics on 252 context**:
- valid_perplexity = 17.35
**metrics on 378 contex... | 668 | [
[
-0.0418701171875,
-0.0287628173828125,
0.033721923828125,
0.04388427734375,
-0.0262908935546875,
-0.0264892578125,
-0.00936126708984375,
-0.0343017578125,
0.024566650390625,
0.0083770751953125,
-0.06732177734375,
-0.036651611328125,
-0.044281005859375,
0.010... |
timm/vit_large_r50_s32_224.augreg_in21k_ft_in1k | 2023-05-06T00:48:55.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2106.10270",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_large_r50_s32_224.augreg_in21k_ft_in1k | 0 | 785 | timm | 2022-12-23T00:29:46 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for vit_large_r50_s32_224.augreg_in21k_ft_in1k
A ResNet - Vision Transformer (ViT) hybrid image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k (with additi... | 3,926 | [
[
-0.03887939453125,
-0.027740478515625,
-0.002849578857421875,
0.003513336181640625,
-0.0291290283203125,
-0.0188751220703125,
-0.0246734619140625,
-0.03436279296875,
0.0191802978515625,
0.0204010009765625,
-0.0404052734375,
-0.037750244140625,
-0.044708251953125... |
Lucetepolis/FuzzyHazel | 2023-09-23T13:28:25.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | Lucetepolis | null | null | Lucetepolis/FuzzyHazel | 50 | 785 | diffusers | 2023-03-19T13:54:06 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
# FuzzyHazel, FuzzyAlmond
HazyAbyss - <a href="https://huggingface.co/KMAZ/TestSamples/">Download</a><br/>
OctaFuzz - <a href="https://huggingface.co/Lucetepolis/OctaFuzz">Download<... | 4,682 | [
[
-0.060516357421875,
-0.037109375,
0.0122528076171875,
0.0218505859375,
-0.0253448486328125,
-0.01468658447265625,
0.0002980232238769531,
-0.04779052734375,
0.081787109375,
0.016693115234375,
-0.06048583984375,
-0.043609619140625,
-0.03594970703125,
0.0101470... |
ehartford/dolphin-2.2.1-mistral-7b | 2023-10-30T22:57:00.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"en",
"dataset:ehartford/dolphin",
"dataset:jondurbin/airoboros-2.2.1",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us",
"has_space"
] | text-generation | ehartford | null | null | ehartford/dolphin-2.2.1-mistral-7b | 43 | 785 | transformers | 2023-10-30T22:50:33 | ---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
datasets:
- ehartford/dolphin
- jondurbin/airoboros-2.2.1
language:
- en
---
# dolphin-2.2.1-mistral-7b
Dolphin 2.2.1 🐬
https://erichartford.com/dolphin
This is a checkpoint release, to fix overfit training. ie, it was responding with CoT even when I di... | 4,069 | [
[
-0.05267333984375,
-0.038787841796875,
0.00951385498046875,
0.020355224609375,
-0.0214691162109375,
-0.027191162109375,
-0.00008034706115722656,
-0.05963134765625,
0.004795074462890625,
0.0166168212890625,
-0.045562744140625,
-0.0155029296875,
-0.052276611328125... |
flaubert/flaubert_large_cased | 2021-05-19T16:55:50.000Z | [
"transformers",
"pytorch",
"flaubert",
"fill-mask",
"bert",
"language-model",
"flue",
"french",
"bert-large",
"flaubert-large",
"cased",
"fr",
"dataset:flaubert",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | flaubert | null | null | flaubert/flaubert_large_cased | 2 | 784 | transformers | 2022-03-02T23:29:05 | ---
language: fr
license: mit
datasets:
- flaubert
metrics:
- flue
tags:
- bert
- language-model
- flaubert
- flue
- french
- bert-large
- flaubert-large
- cased
---
# FlauBERT: Unsupervised Language Model Pre-training for French
**FlauBERT** is a French BERT trained on a very large and heterogeneous French corpus.... | 4,485 | [
[
-0.02520751953125,
-0.055450439453125,
0.0262451171875,
0.0135498046875,
-0.0009813308715820312,
0.0037689208984375,
-0.0203704833984375,
-0.00792694091796875,
0.0252227783203125,
0.03680419921875,
-0.030914306640625,
-0.035552978515625,
-0.04705810546875,
-... |
malduwais/distilbert-base-uncased-finetuned-ner | 2021-11-28T09:59:58.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"generated_from_trainer",
"dataset:conll2003",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | malduwais | null | null | malduwais/distilbert-base-uncased-finetuned-ner | 0 | 783 | transformers | 2022-03-02T23:29:05 | ---
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... | 2,203 | [
[
-0.035430908203125,
-0.04241943359375,
0.01195526123046875,
0.01479339599609375,
-0.0221405029296875,
-0.0227813720703125,
-0.00928497314453125,
-0.0079498291015625,
0.00640106201171875,
0.018585205078125,
-0.04852294921875,
-0.046905517578125,
-0.05902099609375... |
timm/vit_srelpos_small_patch16_224.sw_in1k | 2023-05-05T22:04:32.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2111.09883",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_srelpos_small_patch16_224.sw_in1k | 0 | 783 | timm | 2022-12-23T00:22:33 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for vit_srelpos_small_patch16_224.sw_in1k
A Vision Transformer (ViT) image classification model. This is a `timm` specific variation of the ViT architecture with shared relative position embeddings, ... | 4,180 | [
[
-0.03704833984375,
-0.0243072509765625,
-0.00445556640625,
0.01267242431640625,
-0.0286102294921875,
-0.030364990234375,
-0.0192108154296875,
-0.0400390625,
0.0196685791015625,
0.02618408203125,
-0.04425048828125,
-0.03656005859375,
-0.0531005859375,
-0.0052... |
timm/eva_giant_patch14_336.m30m_ft_in22k_in1k | 2023-03-31T06:00:55.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:merged-30m",
"dataset:imagenet-22k",
"arxiv:2211.07636",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/eva_giant_patch14_336.m30m_ft_in22k_in1k | 0 | 783 | timm | 2022-12-23T02:46:41 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
- merged-30m
- imagenet-22k
---
# Model card for eva_giant_patch14_336.m30m_ft_in22k_in1k
An EVA image classification model. Pretrained on Merged-30M (ImageNet-22K, CC12M, CC3M, Object365, COCO (train), ADE20K (train)) with ... | 5,140 | [
[
-0.05059814453125,
-0.0296478271484375,
0.005336761474609375,
0.00885009765625,
-0.0215301513671875,
0.0014438629150390625,
-0.01525115966796875,
-0.032135009765625,
0.044830322265625,
0.033172607421875,
-0.03546142578125,
-0.052947998046875,
-0.0526123046875,
... |
ipipan/silver-retriever-base-v1 | 2023-10-19T08:54:27.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"pl",
"dataset:ipipan/polqa",
"dataset:ipipan/maupqa",
"arxiv:2309.08469",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | ipipan | null | null | ipipan/silver-retriever-base-v1 | 7 | 783 | sentence-transformers | 2023-08-16T13:37:36 | ---
pipeline_tag: sentence-similarity
language:
- pl
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
datasets:
- ipipan/polqa
- ipipan/maupqa
license: cc-by-sa-4.0
widget:
- source_sentence: "Pytanie: W jakim mieście urodził się Zbigniew Herbert?"
sentences:
- "Zbigniew Her... | 7,877 | [
[
-0.02362060546875,
-0.05975341796875,
0.03192138671875,
0.0169219970703125,
-0.0231781005859375,
-0.023590087890625,
-0.0194549560546875,
-0.00865936279296875,
0.0215301513671875,
0.0278167724609375,
-0.04150390625,
-0.04412841796875,
-0.045257568359375,
0.0... |
Norod78/SDXL-LofiGirl-Lora | 2023-09-19T16:31:41.000Z | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"en",
"license:mit",
"region:us",
"has_space"
] | text-to-image | Norod78 | null | null | Norod78/SDXL-LofiGirl-Lora | 3 | 783 | diffusers | 2023-08-29T08:47:08 | ---
license: mit
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: Lofi Girl
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- stable-diffusion
- lora
- diffusers
widget:
- text: Dora the LofiGirl
- text: An alien Lofi Girl from outer space
- text: A Logi Girl Cthulhu ri... | 1,317 | [
[
-0.0210723876953125,
-0.0753173828125,
0.04541015625,
0.01134490966796875,
-0.0343017578125,
-0.00888824462890625,
0.0173187255859375,
-0.005207061767578125,
0.03289794921875,
0.033233642578125,
-0.061920166015625,
-0.03753662109375,
-0.069091796875,
0.04327... |
maywell/Synatra-7B-v0.3-RP | 2023-10-29T11:14:35.000Z | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"ko",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | maywell | null | null | maywell/Synatra-7B-v0.3-RP | 1 | 783 | transformers | 2023-10-29T07:14:59 | ---
language:
- ko
library_name: transformers
pipeline_tag: text-generation
license: cc-by-nc-4.0
---
# **Synatra-7B-v0.3-RP🐧**
## Support Me
시나트라는 개인 프로젝트로, 1인의 자원으로 개발되고 있습니다. 모델이 마음에 드셨다면 약간의 연구비 지원은 어떨까요?
[<img src="https://cdn.buymeacoffee.com/buttons/default-orange.png" ... | 2,332 | [
[
-0.0250091552734375,
-0.0574951171875,
0.007415771484375,
0.035186767578125,
-0.0377197265625,
-0.0302734375,
-0.01263427734375,
-0.035675048828125,
0.0281829833984375,
0.021942138671875,
-0.042572021484375,
-0.04046630859375,
-0.05181884765625,
-0.003765106... |
microsoft/deberta-xxlarge-v2 | 2021-02-11T02:05:17.000Z | [
"transformers",
"pytorch",
"deberta-v2",
"deberta",
"en",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | microsoft | null | null | microsoft/deberta-xxlarge-v2 | 0 | 782 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags: deberta
thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
license: mit
---
## DeBERTa: Decoding-enhanced BERT with Disentangled Attention
## This model is DEPRECATED, please use [DeBERTa-V2-XXLarge](https://huggingface.co/microsoft/deberta-v2-xxlarge)
| 293 | [
[
-0.029754638671875,
-0.036163330078125,
0.02117919921875,
0.056884765625,
-0.043670654296875,
-0.004001617431640625,
0.0186614990234375,
-0.0335693359375,
0.02490234375,
0.0126495361328125,
-0.06103515625,
-0.01416015625,
-0.07110595703125,
-0.01492309570312... |
mjsp/sweet | 2023-11-05T21:54:51.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"vit",
"image-classification",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | mjsp | null | null | mjsp/sweet | 0 | 782 | transformers | 2023-10-22T14:30:14 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: sweet
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.5750916004180908
---
# sweet
Autogenerated by Hug... | 4,705 | [
[
-0.048065185546875,
-0.032012939453125,
0.004695892333984375,
0.0191192626953125,
-0.035064697265625,
0.023040771484375,
0.0034198760986328125,
-0.017303466796875,
0.0557861328125,
0.040252685546875,
-0.02362060546875,
-0.02423095703125,
-0.0467529296875,
0.... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.