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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
larryvrh/mt5-translation-ja_zh | 2023-04-11T15:26:48.000Z | [
"transformers",
"pytorch",
"mt5",
"text2text-generation",
"translation",
"zh",
"ja",
"dataset:larryvrh/WikiMatrix-v1-Ja_Zh-filtered",
"dataset:larryvrh/CCMatrix-v1-Ja_Zh-filtered",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | translation | larryvrh | null | null | larryvrh/mt5-translation-ja_zh | 11 | 984 | transformers | 2023-04-09T18:35:32 | ---
language:
- zh
- ja
tags:
- translation
datasets:
- larryvrh/WikiMatrix-v1-Ja_Zh-filtered
- larryvrh/CCMatrix-v1-Ja_Zh-filtered
widget:
- text: >-
<-ja2zh-> フェルディナント・ラッサール
は、プロイセンの政治学者、哲学者、法学者、社会主義者、労働運動指導者。ドイツ社会民主党の母体となる全ドイツ労働者同盟の創設者である。社会主義共和政の統一ドイツを目指しつつも、……
metrics:
- sacrebleu
pipeline_tag: translation... | 2,151 | [
[
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0.042816162109... |
Salesforce/codegen25-7b-mono | 2023-07-13T16:42:45.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"code",
"dataset:bigcode/starcoderdata",
"arxiv:2305.02309",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Salesforce | null | null | Salesforce/codegen25-7b-mono | 23 | 984 | transformers | 2023-07-06T07:34:35 | ---
license: apache-2.0
datasets:
- bigcode/starcoderdata
language:
- code
pipeline_tag: text-generation
---
# CodeGen2.5-7B-mono
Title: [**CodeGen2.5: Small, but mighty**](https://blog.salesforceairesearch.com/codegen25)
Authors: [Erik Nijkamp](https://eriknijkamp.com)\*, [Hiroaki Hayashi](https://hiroakih.me)\*, Y... | 5,108 | [
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Yntec/DucHaitenNiji | 2023-09-27T04:14:21.000Z | [
"diffusers",
"Anime",
"Cute",
"Midjourney",
"NijiV5",
"DucHaiten",
"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/DucHaitenNiji | 1 | 984 | diffusers | 2023-09-27T02:29:35 | ---
library_name: diffusers
pipeline_tag: text-to-image
license: creativeml-openrail-m
tags:
- Anime
- Cute
- Midjourney
- NijiV5
- DucHaiten
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# DucHaiten Niji
Original page: https://civitai.com/models/70921?modelVersionId=75610
Sample an... | 670 | [
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facebook/s2t-wav2vec2-large-en-de | 2023-01-24T16:32:35.000Z | [
"transformers",
"pytorch",
"speech-encoder-decoder",
"automatic-speech-recognition",
"audio",
"speech-translation",
"speech2text2",
"en",
"de",
"dataset:covost2",
"dataset:librispeech_asr",
"arxiv:2104.06678",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | automatic-speech-recognition | facebook | null | null | facebook/s2t-wav2vec2-large-en-de | 2 | 983 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
- de
datasets:
- covost2
- librispeech_asr
tags:
- audio
- speech-translation
- automatic-speech-recognition
- speech2text2
license: mit
pipeline_tag: automatic-speech-recognition
widget:
- example_title: Common Voice 1
src: https://cdn-media.huggingface.co/speech_samples/common_voice_en_18301577.m... | 4,073 | [
[
-0.014434814453125,
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0.0225982666015625,
-0.044219970703125,
-0.0270843505859375,
-0.05712890625,
-... |
M-CLIP/XLM-Roberta-Large-Vit-L-14 | 2022-09-15T10:44:59.000Z | [
"transformers",
"pytorch",
"tf",
"multilingual",
"af",
"sq",
"am",
"ar",
"az",
"bn",
"bs",
"bg",
"ca",
"zh",
"hr",
"cs",
"da",
"nl",
"en",
"et",
"fr",
"de",
"el",
"hi",
"hu",
"is",
"id",
"it",
"ja",
"mk",
"ml",
"mr",
"pl",
"pt",
"ro",
"ru",
"sr... | null | M-CLIP | null | null | M-CLIP/XLM-Roberta-Large-Vit-L-14 | 9 | 983 | transformers | 2022-05-30T14:35:41 | ---
language:
- multilingual
- af
- sq
- am
- ar
- az
- bn
- bs
- bg
- ca
- zh
- hr
- cs
- da
- nl
- en
- et
- fr
- de
- el
- hi
- hu
- is
- id
- it
- ja
- mk
- ml
- mr
- pl
- pt
- ro
- ru
- sr
- sl
- es
- sw
- sv
- tl
- te
- tr
- tk
- uk
- ur
- ug
- uz
- vi
- xh
---
## Multilingual-clip: XLM-Roberta-Large-Vit-L-14
... | 3,780 | [
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0.0181121... |
camembert/camembert-base-ccnet-4gb | 2020-12-11T21:35:11.000Z | [
"transformers",
"pytorch",
"camembert",
"fr",
"arxiv:1911.03894",
"endpoints_compatible",
"region:us"
] | null | camembert | null | null | camembert/camembert-base-ccnet-4gb | 0 | 982 | transformers | 2022-03-02T23:29:05 | ---
language: fr
---
# CamemBERT: a Tasty French Language Model
## Introduction
[CamemBERT](https://arxiv.org/abs/1911.03894) is a state-of-the-art language model for French based on the RoBERTa model.
It is now available on Hugging Face in 6 different versions with varying number of parameters, amount of pretrain... | 5,115 | [
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0.03125,
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0.00282287597656... |
hf-internal-testing/tiny-stable-diffusion-pipe-safetensors | 2023-05-16T09:31:33.000Z | [
"diffusers",
"license:apache-2.0",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | hf-internal-testing | null | null | hf-internal-testing/tiny-stable-diffusion-pipe-safetensors | 0 | 982 | diffusers | 2022-11-23T09:13:22 | ---
license: apache-2.0
duplicated_from: hf-internal-testing/tiny-stable-diffusion-torch
---
```python
from diffusers import StableDiffusionPipeline
pipe = StableDiffusionPipeline.from_pretrained("hf-internal-testing/tiny-stable-diffusion-torch")
```
| 254 | [
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0.... |
poom-sci/WangchanBERTa-finetuned-sentiment | 2021-11-05T17:48:02.000Z | [
"transformers",
"pytorch",
"tensorboard",
"camembert",
"text-classification",
"sentiment-analysis",
"th",
"dataset:wongnai_reviews",
"dataset:wisesight_sentiment",
"dataset:generated_reviews_enth",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"has_space"
] | text-classification | poom-sci | null | null | poom-sci/WangchanBERTa-finetuned-sentiment | 6 | 981 | transformers | 2022-03-02T23:29:05 | ---
language:
- th
tags:
- sentiment-analysis
license: apache-2.0
datasets:
- wongnai_reviews
- wisesight_sentiment
- generated_reviews_enth
widget:
- text: "โอโห้ ช่องนี้เปิดโลกเรามากเลยค่ะ คือตอนช่วงหาคำตอบเรานี่อึ้งไปเลย ดูจีเนียสมากๆๆ"
example_title: "Positive"
- text: "เริ่มจากชายเน็ตคนหนึ่งเปิดประเด็นว่าไปพบเจ้... | 551 | [
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0.0794677734375,
0.040802001953125,
-0.0299224853515625,
-0.0224456787109375,
0.0089874267578125,
-0.0... |
timm/tf_efficientnet_b3.ap_in1k | 2023-04-27T21:18:34.000Z | [
"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_b3.ap_in1k | 0 | 981 | timm | 2022-12-13T00:02:44 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_b3.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 | [
[
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0.023834228515625,
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-0.0474853515625,
-0.0576171875,
-0.0... |
timm/nf_resnet50.ra2_in1k | 2023-03-24T01:15:11.000Z | [
"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/nf_resnet50.ra2_in1k | 0 | 981 | timm | 2023-03-24T01:14:44 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for nf_resnet50.ra2_in1k
A NFResNet (Norm-Free ResNet) image classification model. Trained in `timm` by Ross Wightman.
Normalization Free Networks are (pre-activation) ResNet-like models without any ... | 4,723 | [
[
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0.00319... |
princeton-nlp/AutoCompressor-1.3b-30k | 2023-10-27T14:50:20.000Z | [
"transformers",
"pytorch",
"opt",
"arxiv:2305.14788",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | princeton-nlp | null | null | princeton-nlp/AutoCompressor-1.3b-30k | 0 | 981 | transformers | 2023-07-23T21:51:19 | ---
license: apache-2.0
---
license: apache-2.0
---
**Paper**: [Adapting Language Models to Compress Contexts](https://arxiv.org/abs/2305.14788)
**Code**: https://github.com/princeton-nlp/AutoCompressors
**Models**:
- Llama-2-7b fine-tuned models: [AutoCompressor-Llama-2-7b-6k](https://huggingface.co/princeton-nl... | 2,571 | [
[
-0.032684326171875,
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0.0... |
Intel/ldm3d-pano | 2023-08-27T08:18:30.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"dataset:laion/laion400m",
"arxiv:2305.10853",
"license:creativeml-openrail-m",
"has_space",
"diffusers:StableDiffusionLDM3DPipeline",
"region:us"
] | text-to-image | Intel | null | null | Intel/ldm3d-pano | 26 | 981 | diffusers | 2023-07-27T13:16:54 | ---
license: creativeml-openrail-m
datasets:
- laion/laion400m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
language:
- en
---
# LDM3D model
The LDM3D model was proposed in ["LDM3D: Latent Diffusion Model for 3D"](https://arxiv.org/abs/2305.10853) by Gabriela Ben Melech Stan, Diana Wofk, Scot... | 3,998 | [
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0.0... |
GAI-LLM/polyglot-12.8b-mixed-v3 | 2023-10-27T00:43:47.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"ko",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | GAI-LLM | null | null | GAI-LLM/polyglot-12.8b-mixed-v3 | 0 | 981 | transformers | 2023-10-26T01:28:26 | ---
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/polyglot-12.8b-mixed-v3**
## Model Details
**Model Developers** Donghoon Oh, Hanmin Myung, Eunyoung Kim (SK C&C G.AI Eng)
**Input** Models input text only.
**... | 1,305 | [
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ku-nlp/roberta-base-japanese-char-wwm | 2023-03-20T08:05:45.000Z | [
"transformers",
"pytorch",
"safetensors",
"roberta",
"fill-mask",
"ja",
"dataset:wikipedia",
"dataset:cc100",
"license:cc-by-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | ku-nlp | null | null | ku-nlp/roberta-base-japanese-char-wwm | 4 | 980 | transformers | 2022-09-20T05:07:34 | ---
language: ja
license: cc-by-sa-4.0
datasets:
- wikipedia
- cc100
mask_token: "[MASK]"
widget:
- text: "京都大学で自然言語処理を[MASK]する。"
---
# ku-nlp/roberta-base-japanese-char-wwm
## Model description
This is a Japanese RoBERTa base model pre-trained on Japanese Wikipedia and the Japanese portion of CC-100.
This model is ... | 2,137 | [
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0... |
mtheo/camembert-base-xnli | 2023-08-24T09:17:40.000Z | [
"transformers",
"pytorch",
"safetensors",
"camembert",
"text-classification",
"zero-shot-classification",
"endpoints_compatible",
"region:us"
] | zero-shot-classification | mtheo | null | null | mtheo/camembert-base-xnli | 3 | 980 | transformers | 2023-08-07T16:43:29 | ---
pipeline_tag: zero-shot-classification
---
A copy of the original BaptisteDoyen/camembert-base-xnli as it gives a 404 error right now. | 138 | [
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bhadresh-savani/electra-base-emotion | 2023-03-22T08:42:55.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"electra",
"text-classification",
"emotion",
"en",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | bhadresh-savani | null | null | bhadresh-savani/electra-base-emotion | 0 | 979 | transformers | 2022-03-28T04:34:00 | ---
language:
- en
license: apache-2.0
tags:
- text-classification
- emotion
- pytorch
datasets:
- emotion
metrics:
- Accuracy, F1 Score
thumbnail: https://avatars3.githubusercontent.com/u/32437151?s=460&u=4ec59abc8d21d5feea3dab323d23a5860e6996a4&v=4
model-index:
- name: bhadresh-savani/electra-base-emotion
results:
... | 6,502 | [
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Narrativaai/bloom-560m-finetuned-totto-table-to-text | 2023-04-21T10:08:28.000Z | [
"transformers",
"pytorch",
"safetensors",
"bloom",
"text-generation",
"table-to-text",
"tabular",
"Narratable",
"en",
"dataset:totto",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Narrativaai | null | null | Narrativaai/bloom-560m-finetuned-totto-table-to-text | 14 | 979 | transformers | 2022-09-12T16:22:51 | ---
language:
- en
tags:
- table-to-text
- tabular
- Narratable
datasets:
- totto
widget:
- text: "<s><page_title> John Higgins </page_title> <section_title> Minor-ranking finals: 6 (3 titles, 3 runners-up) </section_title> <table> <row> <c> Outcome </c> <c> No. <row_header> Outcome </row_header> </c> <c> Year <row_he... | 6,201 | [
[
-0.0172119140625,
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0.0120697021484375,
0.041534423828125,
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0.0269317626953125,
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0.0... |
natsusakiyomi/SakuraMix | 2023-08-22T12:30:44.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"ja",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | natsusakiyomi | null | null | natsusakiyomi/SakuraMix | 68 | 979 | diffusers | 2023-03-17T17:37:21 | ---
license: creativeml-openrail-m
language:
- ja
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
library_name: diffusers
---
<div class="flex justify-center">
<div class="container p-0 w-100">
<img class="mt-0 object-cover rounded-t-lg w-100"
style="hei... | 6,705 | [
[
-0.05181884765625,
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0.0125885009765625,
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0.0195465087890625,
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0.05328369140625,
0.008148193359375,
-0.07843017578125,
-0.045562744140625,
-0.033416748046875,
0.0131... |
facebook/levit-128S | 2022-06-01T13:20:18.000Z | [
"transformers",
"pytorch",
"levit",
"image-classification",
"vision",
"dataset:imagenet-1k",
"arxiv:2104.01136",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | facebook | null | null | facebook/levit-128S | 3 | 978 | transformers | 2022-06-01T11:28:11 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: https... | 1,713 | [
[
-0.053466796875,
-0.0220489501953125,
-0.0029659271240234375,
0.0038318634033203125,
-0.0211334228515625,
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0.0001163482666015625,
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0.0279083251953125,
0.037811279296875,
-0.048553466796875,
-0.029266357421875,
-0.040893554... |
yunyu/sentence-transformers-e5-small-v2 | 2023-06-14T15:08:46.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | sentence-similarity | yunyu | null | null | yunyu/sentence-transformers-e5-small-v2 | 0 | 977 | sentence-transformers | 2023-06-14T15:08:28 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semanti... | 1,594 | [
[
-0.020355224609375,
-0.053192138671875,
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0.010345458984375,
0.0036640167236328125,
0.04107666015625,
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-0.048095703125,
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0.00... |
UBC-NLP/AraT5v2-base-1024 | 2023-08-22T18:39:17.000Z | [
"transformers",
"pytorch",
"t5",
"Arabic T5",
"MSA",
"Twitter",
"Arabic Dialect",
"Arabic Machine Translation",
"Arabic Text Summarization",
"Arabic News Title and Question Generation",
"Arabic Paraphrasing and Transliteration",
"Arabic Code-Switched Translation",
"ar",
"endpoints_compatib... | null | UBC-NLP | null | null | UBC-NLP/AraT5v2-base-1024 | 12 | 977 | transformers | 2023-08-15T22:35:15 | ---
language:
- ar
tags:
- Arabic T5
- MSA
- Twitter
- Arabic Dialect
- Arabic Machine Translation
- Arabic Text Summarization
- Arabic News Title and Question Generation
- Arabic Paraphrasing and Transliteration
- Arabic Code-Switched Translation
---
# AraT5v2-base-1024
## What's new?
- **More ... | 3,550 | [
[
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stabilityai/japanese-stablelm-base-gamma-7b | 2023-10-30T06:37:47.000Z | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"japanese-stablelm",
"causal-lm",
"ja",
"dataset:wikipedia",
"dataset:mc4",
"dataset:cc100",
"dataset:oscar-corpus/OSCAR-2301",
"dataset:oscar-corpus/OSCAR-2201",
"dataset:cerebras/SlimPajama-627B",
"arxiv:2310.06825",
"license... | text-generation | stabilityai | null | null | stabilityai/japanese-stablelm-base-gamma-7b | 11 | 977 | transformers | 2023-10-16T08:15:14 | ---
license: apache-2.0
tags:
- japanese-stablelm
- causal-lm
pipeline_tag: text-generation
datasets:
- wikipedia
- mc4
- cc100
- oscar-corpus/OSCAR-2301
- oscar-corpus/OSCAR-2201
- cerebras/SlimPajama-627B
language:
- ja
extra_gated_fields:
Name: text
Email: text
Country: text
Organization or Affiliation: text... | 5,001 | [
[
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... |
microsoft/vq-diffusion-ithq | 2023-07-05T16:18:46.000Z | [
"diffusers",
"arxiv:2205.16007",
"license:mit",
"has_space",
"diffusers:VQDiffusionPipeline",
"region:us"
] | null | microsoft | null | null | microsoft/vq-diffusion-ithq | 11 | 976 | diffusers | 2022-11-02T18:58:01 | ---
license: mit
---
# VQ Diffusion
* [Paper](https://arxiv.org/abs/2205.16007.pdf)
* [Original Repo](https://github.com/microsoft/VQ-Diffusion)
* **Authors**: Shuyang Gu, Dong Chen, et al.
```python
#!pip install diffusers[torch] transformers
import torch
from diffusers import VQDiffusionPipeline
pipeline = VQDi... | 850 | [
[
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0.0281219482421875,
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-0.04351806640625... |
sensenova/piccolo-large-zh | 2023-09-08T05:40:21.000Z | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"mteb",
"model-index",
"endpoints_compatible",
"region:us"
] | feature-extraction | sensenova | null | null | sensenova/piccolo-large-zh | 47 | 976 | transformers | 2023-09-04T07:07:56 | ---
tags:
- mteb
model-index:
- name: piccolo-large-zh
results:
- task:
type: STS
dataset:
type: C-MTEB/AFQMC
name: MTEB AFQMC
config: default
split: validation
revision: None
metrics:
- type: cos_sim_pearson
value: 51.40548754569409
- type: cos_sim_spearman... | 32,577 | [
[
-0.03369140625,
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-0.0288238525390625,
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0.023529052734375,
0.008880615234375,
-0.0243072509765625,
-0.04364013671875,
-0.042449951171875,
-0.... |
dlicari/Italian-Legal-BERT | 2023-08-28T17:54:43.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"fill-mask",
"it",
"license:afl-3.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | dlicari | null | null | dlicari/Italian-Legal-BERT | 5 | 975 | transformers | 2022-07-16T16:51:39 | ---
language: it
license: afl-3.0
widget:
- text: Il [MASK] ha chiesto revocarsi l'obbligo di pagamento
---
<img src="https://huggingface.co/dlicari/Italian-Legal-BERT/resolve/main/ITALIAN_LEGAL_BERT.jpg" width="600"/>
<h1> ITALIAN-LEGAL-BERT:A pre-trained Transformer Language Model for Italian Law </h1>
ITALIAN-LE... | 5,255 | [
[
-0.033172607421875,
-0.038482666015625,
0.0283050537109375,
0.0128631591796875,
-0.029632568359375,
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0.02288818359375,
-0.039093017578125,
-0.03375244140625,
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0.0066... |
PORTULAN/albertina-900m-portuguese-ptbr-encoder | 2023-10-23T10:17:15.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta-v2",
"fill-mask",
"albertina-pt*",
"albertina-ptpt",
"albertina-ptbr",
"albertina-ptbr-nobrwac",
"bert",
"deberta",
"portuguese",
"encoder",
"foundation model",
"pt",
"dataset:PORTULAN/glue-ptpt",
"dataset:assin2",
"dataset:dlb/plu... | fill-mask | PORTULAN | null | null | PORTULAN/albertina-900m-portuguese-ptbr-encoder | 5 | 975 | transformers | 2023-05-25T09:03:45 | ---
language:
- pt
tags:
- albertina-pt*
- albertina-ptpt
- albertina-ptbr
- albertina-ptbr-nobrwac
- fill-mask
- bert
- deberta
- portuguese
- encoder
- foundation model
license: other
datasets:
- PORTULAN/glue-ptpt
- assin2
- dlb/plue
widget:
- text: >-
A culinária brasileira é rica em sabores e [MASK], tornando-... | 11,081 | [
[
-0.02581787109375,
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0.00894927978515625,
0.025543212890625,
-0.02984619140625,
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-0.0270843505859375,
-0.0367431640625,
0.02166748046875,
0.0355224609375,
-0.0310516357421875,
-0.050994873046875,
-0.062164306640625,
0.020... |
nota-ai/bk-sdm-small | 2023-08-19T12:15:17.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"dataset:ChristophSchuhmann/improved_aesthetics_6.5plus",
"arxiv:2305.15798",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | nota-ai | null | null | nota-ai/bk-sdm-small | 18 | 974 | diffusers | 2023-07-11T05:02:39 | ---
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
datasets:
- ChristophSchuhmann/improved_aesthetics_6.5plus
library_name: diffusers
pipeline_tag: text-to-image
extra_gated_prompt: >-
This model is open access and available to all, with a CreativeML OpenRAIL-M
... | 11,931 | [
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... |
cl-tohoku/bert-base-japanese-char-v3 | 2023-05-19T00:39:44.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"pretraining",
"ja",
"dataset:cc100",
"dataset:wikipedia",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | cl-tohoku | null | null | cl-tohoku/bert-base-japanese-char-v3 | 4 | 973 | transformers | 2023-05-19T00:33:09 | ---
license: apache-2.0
datasets:
- cc100
- wikipedia
language:
- ja
widget:
- text: 東北大学で[MASK]の研究をしています。
---
# BERT base Japanese (character-level tokenization with whole word masking, CC-100 and jawiki-20230102)
This is a [BERT](https://github.com/google-research/bert) model pretrained on texts in the Japanese lan... | 2,614 | [
[
-0.03680419921875,
-0.0675048828125,
0.01505279541015625,
0.0073699951171875,
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0.041748046875,
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-0.04632568359375,
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0.0050811... |
laion/CLIP-ViT-B-32-CommonPool.M-s128M-b4K | 2023-04-26T01:32:00.000Z | [
"open_clip",
"zero-shot-image-classification",
"clip",
"license:mit",
"region:us",
"has_space"
] | zero-shot-image-classification | laion | null | null | laion/CLIP-ViT-B-32-CommonPool.M-s128M-b4K | 0 | 972 | open_clip | 2023-04-26T01:31:44 | ---
tags:
- zero-shot-image-classification
- clip
library_name: open_clip
license: mit
---
# Model card for CLIP-ViT-B-32-CommonPool.M-s128M-b4K
| 145 | [
[
-0.0309295654296875,
0.006443023681640625,
0.029571533203125,
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0.066650390625,
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0.0333251953125,
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tner/roberta-large-wnut2017 | 2022-09-26T14:16:19.000Z | [
"transformers",
"pytorch",
"roberta",
"token-classification",
"dataset:wnut2017",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | tner | null | null | tner/roberta-large-wnut2017 | 0 | 971 | transformers | 2022-08-09T23:12:35 | ---
datasets:
- wnut2017
metrics:
- f1
- precision
- recall
model-index:
- name: tner/roberta-large-wnut2017
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: wnut2017
type: wnut2017
args: wnut2017
metrics:
- name: F1
type: f1
... | 5,612 | [
[
-0.042083740234375,
-0.0535888671875,
0.02264404296875,
0.00885772705078125,
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-0.0452880859375,
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0.0286407470703125,
0.0201416015625,
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-0.046356201171875,
-0.056488037109375,
0.0... |
timm/seresnext26d_32x4d.bt_in1k | 2023-04-05T19:32:56.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:1611.05431",
"arxiv:1512.03385",
"arxiv:1709.01507",
"arxiv:1812.01187",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/seresnext26d_32x4d.bt_in1k | 0 | 971 | timm | 2023-04-05T19:32:45 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
---
# Model card for seresnext26d_32x4d.bt_in1k
A SE-ResNeXt-D image classification model with Squeeze-and-Excitation channel attention.
This model features:
* ReLU activations
* 3-layer stem of 3x3 convolutions with pooling
* 2x2 averag... | 39,324 | [
[
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-0.020111083984375,
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0.02960205078125,
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-0.01055145263671875,
-0.0307769775390625,
0.0819091796875,
0.0205230712890625,
-0.04827880859375,
-0.04052734375,
-0.048187255859375,
-0.00... |
KRAFTON/KORani-v1-13B | 2023-05-08T07:24:39.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"polyglot",
"KoVicuna",
"KORani",
"ko",
"en",
"arxiv:2302.13971",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | KRAFTON | null | null | KRAFTON/KORani-v1-13B | 5 | 970 | transformers | 2023-04-26T06:24:09 | ---
license: apache-2.0
language:
- ko
- en
pipeline_tag: text-generation
tags:
- polyglot
- KoVicuna
- KORani
---
# KORani-v1-13B
**`v1,2,3` doesn't mean the best or most recent model**
- KORani: Large Language Models for 🇰🇷 Korean and 🇺🇸 English using LLaMA 13B and Polyglot 12.8B.
- Tested which LLM is effectiv... | 6,898 | [
[
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... |
stablediffusionapi/epicrealism-v4 | 2023-10-31T13:38:24.000Z | [
"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/epicrealism-v4 | 2 | 970 | diffusers | 2023-07-31T13:27:17 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# epicRealism v4 API Inference

## Get API Key
Get API k... | 2,461 | [
[
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0.0226287841796875,
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0.05157470703125,
-0.048492431640625,
-0.0650634765625,
-0.02362060546875,
0.008209228515... |
Mit1208/layoutlmv3-finetuned-DocLayNet | 2023-04-28T14:13:14.000Z | [
"transformers",
"pytorch",
"layoutlmv3",
"token-classification",
"generated_from_trainer",
"token_classifier",
"layout_analysis",
"en",
"dataset:doc_lay_net-small",
"license:cc-by-nc-sa-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | Mit1208 | null | null | Mit1208/layoutlmv3-finetuned-DocLayNet | 1 | 969 | transformers | 2023-03-24T17:36:01 | ---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
- layoutlmv3
- token_classifier
- layout_analysis
datasets:
- doc_lay_net-small
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: layoutlmv3-finetuned-DocLayNet
results:
- task:
name: Token Classification
type: token-classifica... | 2,717 | [
[
-0.027008056640625,
-0.033935546875,
0.0128631591796875,
0.00991058349609375,
-0.0170135498046875,
-0.0283966064453125,
0.0037631988525390625,
-0.00815582275390625,
0.01461029052734375,
0.0272674560546875,
-0.044219970703125,
-0.05303955078125,
-0.04647827148437... |
uclanlp/keyphrase-mpnet-v1 | 2023-05-28T06:22:30.000Z | [
"sentence-transformers",
"pytorch",
"mpnet",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:2303.15422",
"endpoints_compatible",
"region:us"
] | sentence-similarity | uclanlp | null | null | uclanlp/keyphrase-mpnet-v1 | 1 | 968 | sentence-transformers | 2023-05-08T00:15:15 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# keyphrase-mpnet-v1
This is a [sentence-transformers](https://www.SBERT.net) model specialized for phrases: It maps phrases to a 768 dimensional dense vector space and can be used for ta... | 5,086 | [
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Langboat/mengzi-t5-base | 2023-05-08T08:43:21.000Z | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"zh",
"arxiv:2110.06696",
"doi:10.57967/hf/0025",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | Langboat | null | null | Langboat/mengzi-t5-base | 41 | 966 | transformers | 2022-03-02T23:29:04 | ---
language:
- zh
license: apache-2.0
---
# Mengzi-T5 model (Chinese)
Pretrained model on 300G Chinese corpus.
[Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese](https://arxiv.org/abs/2110.06696)
## Usage
```python
from transformers import T5Tokenizer, T5ForConditionalGeneration
tokeniz... | 939 | [
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dwarfbum/Hassaku | 2023-04-04T14:49:58.000Z | [
"diffusers",
"hassaku",
"hassaku hentai model",
"hentai model",
"license:creativeml-openrail-m",
"region:us"
] | null | dwarfbum | null | null | dwarfbum/Hassaku | 5 | 966 | diffusers | 2023-04-04T14:43:27 | ---
license: creativeml-openrail-m
library_name: diffusers
tags:
- hassaku
- hassaku hentai model
- hentai model
---
Hassaku (hentai model)
all right goes to Ikena
https://civitai.com/models/2583/hassaku-hentai-model
---
license: creativeml-openrail-m
--- | 255 | [
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0.0170135498046... |
Mitsua/vroid-diffusion-test | 2023-08-12T07:27:02.000Z | [
"diffusers",
"text-to-image",
"dataset:Mitsua/vroid-image-dataset-lite",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Mitsua | null | null | Mitsua/vroid-diffusion-test | 0 | 966 | diffusers | 2023-08-09T07:05:50 | ---
license: other
datasets:
- Mitsua/vroid-image-dataset-lite
pipeline_tag: text-to-image
---
# Model Card for VRoid Diffusion
<!-- Provide a quick summary of what the model is/does. -->
This is a latent text-to-image diffusion model to demonstrate how U-Net training affects the generated images.
- Text Encoder is ... | 1,885 | [
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... |
ai4bharat/IndicNER | 2022-12-21T02:45:48.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"ner",
"Pytorch",
"transformer",
"multilingual",
"nlp",
"indicnlp",
"as",
"bn",
"gu",
"hi",
"kn",
"ml",
"mr",
"or",
"pa",
"ta",
"te",
"dataset:Samanantar",
"arxiv:2212.10168",
"license:mit",
"autotrain_compati... | token-classification | ai4bharat | null | null | ai4bharat/IndicNER | 15 | 965 | transformers | 2022-05-23T11:12:43 | ---
language:
- as
- bn
- gu
- hi
- kn
- ml
- mr
- or
- pa
- ta
- te
license: mit
datasets:
- Samanantar
tags:
- ner
- Pytorch
- transformer
- multilingual
- nlp
- indicnlp
---
# IndicNER
IndicNER is a model trained to complete the task of identifying named entities from sentences in Indian languages. Our mo... | 3,501 | [
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timm/convnext_large.fb_in22k | 2023-03-31T22:08:29.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-22k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_large.fb_in22k | 0 | 965 | timm | 2022-12-13T07:09:19 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-22k
---
# Model card for convnext_large.fb_in22k
A ConvNeXt image classification model. Pretrained on ImageNet-22k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model ... | 15,605 | [
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timm/gc_efficientnetv2_rw_t.agc_in1k | 2023-04-27T21:13:32.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:2104.00298",
"arxiv:1904.11492",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/gc_efficientnetv2_rw_t.agc_in1k | 0 | 964 | timm | 2022-12-12T23:59:22 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for gc_efficientnetv2_rw_t.agc_in1k
A GC-EfficientNet-v2 image classification model with Global Context attention. This is a `timm` specific variation of the architecture. Trained on ImageNet-1k in `... | 5,067 | [
[
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syaimu/7th_test | 2023-01-31T15:07:02.000Z | [
"diffusers",
"license:other",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | syaimu | null | null | syaimu/7th_test | 116 | 964 | diffusers | 2022-12-29T08:38:42 | ---
license: other
---
## / 7th Test /
<img src="https://i.imgur.com/Mowgm9I.png" width="1024" height="">
<img src="" width="640" height="">
# (Important Notice:1.6)
default CFG Scale : 7 ±5
default Sampler : DPM++ 2M Karras
default Steps : 25
Negative prompt : (worst quality:1.4), (low quality:1.4) , (monoch... | 652 | [
[
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0.0483... |
bdotloh/distilbert-base-uncased-empathetic-dialogues-context | 2022-09-23T04:25:24.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"emotion-classification",
"en",
"dataset:bdotloh/empathetic-dialogues-contexts",
"endpoints_compatible",
"region:us"
] | text-classification | bdotloh | null | null | bdotloh/distilbert-base-uncased-empathetic-dialogues-context | 8 | 963 | transformers | 2022-09-21T08:27:53 | ---
language: en
tags:
- emotion-classification
datasets:
- bdotloh/empathetic-dialogues-contexts
---
# Model Description
This is a distilbert-base-uncased model fine-tuned for the purpose of classifying [(emotional) contexts in the Empathetic Dialogues dataset](https://huggingface.co/datasets/bdotloh/empathetic-dia... | 797 | [
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timm/efficientnet_b5.sw_in12k | 2023-04-27T21:11:23.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-12k",
"arxiv:1905.11946",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/efficientnet_b5.sw_in12k | 1 | 963 | timm | 2022-12-12T23:57:08 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-12k
---
# Model card for efficientnet_b5.sw_in12k
A EfficientNet image classification model. Trained on ImageNet-12k by Ross Wightman in `timm` using recipe template described below.
Recipe details:
* Based on Swin Tr... | 4,287 | [
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Guizmus/SDArt_ChaosAndOrder768 | 2023-04-22T10:18:28.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"image-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Guizmus | null | null | Guizmus/SDArt_ChaosAndOrder768 | 0 | 963 | diffusers | 2023-04-16T21:00:20 | ---
language:
- en
license: creativeml-openrail-m
thumbnail: "https://huggingface.co/Guizmus/SDArt_ChaosAndOrder768/resolve/main/showcase.jpg"
tags:
- stable-diffusion
- text-to-image
- image-to-image
---
# SDArt : Chaos And Order (version based on 2.1 768px)

This is the legal NER model for German that ships with [Flair](https://github.com/flairNLP/flair/).
F1-S... | 4,481 | [
[
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0... |
timm/vgg11.tv_in1k | 2023-04-25T20:04:40.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1409.1556",
"license:bsd-3-clause",
"region:us"
] | image-classification | timm | null | null | timm/vgg11.tv_in1k | 0 | 960 | timm | 2023-04-25T20:02:55 | ---
tags:
- image-classification
- timm
library_name: timm
license: bsd-3-clause
datasets:
- imagenet-1k
---
# Model card for vgg11.tv_in1k
A VGG image classification model. Trained on ImageNet-1k, original torchvision weights.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats... | 3,632 | [
[
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fabriceyhc/bert-base-uncased-ag_news | 2021-09-21T00:54:07.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"generated_from_trainer",
"sibyl",
"dataset:ag_news",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | text-classification | fabriceyhc | null | null | fabriceyhc/bert-base-uncased-ag_news | 0 | 959 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- generated_from_trainer
- sibyl
datasets:
- ag_news
metrics:
- accuracy
model-index:
- name: bert-base-uncased-ag_news
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: ag_news
type: ag_news
args: default
metrics:... | 3,204 | [
[
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ltg/norbert3-xs | 2023-07-03T16:06:59.000Z | [
"transformers",
"pytorch",
"fill-mask",
"BERT",
"NorBERT",
"Norwegian",
"encoder",
"custom_code",
"no",
"nb",
"nn",
"license:cc-by-4.0",
"autotrain_compatible",
"region:us"
] | fill-mask | ltg | null | null | ltg/norbert3-xs | 1 | 959 | transformers | 2023-03-28T16:49:08 | ---
language:
- 'no'
- nb
- nn
inference: false
tags:
- BERT
- NorBERT
- Norwegian
- encoder
license: cc-by-4.0
---
# NorBERT 3 xs
<img src="https://huggingface.co/ltg/norbert3-base/resolve/main/norbert.png" width=12.5%>
The official release of a new generation of NorBERT language models described in paper [**NorBen... | 3,137 | [
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timm/eva02_large_patch14_clip_336.merged2b_ft_inat21 | 2023-10-25T20:24:00.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2303.11331",
"arxiv:2304.14108",
"arxiv:2212.07143",
"license:cc-by-nc-4.0",
"region:us"
] | image-classification | timm | null | null | timm/eva02_large_patch14_clip_336.merged2b_ft_inat21 | 8 | 959 | timm | 2023-06-06T16:42:06 | ---
tags:
- image-classification
- timm
library_name: timm
license: cc-by-nc-4.0
---
# Model card for eva02_large_patch14_clip_336.merged2b_ft_inat21
Part of a series of `timm` fine-tune experiments on iNaturalist 2021 competition data (https://github.com/visipedia/inat_comp/tree/master/2021) for higher capacity model... | 4,533 | [
[
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0.02340698... |
TheBloke/Wizard-Vicuna-30B-Uncensored-AWQ | 2023-09-27T12:52:32.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"uncensored",
"en",
"dataset:ehartford/wizard_vicuna_70k_unfiltered",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Wizard-Vicuna-30B-Uncensored-AWQ | 4 | 957 | transformers | 2023-09-19T23:02:49 | ---
language:
- en
license: other
tags:
- uncensored
datasets:
- ehartford/wizard_vicuna_70k_unfiltered
model_name: Wizard Vicuna 30B Uncensored
base_model: ehartford/Wizard-Vicuna-30B-Uncensored
inference: false
model_creator: Eric Hartford
model_type: llama
prompt_template: 'A chat between a curious user and an artif... | 14,373 | [
[
-0.041229248046875,
-0.0592041015625,
0.0225067138671875,
-0.0003383159637451172,
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-0.01346588134765625,
0.0073089599609375,
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-0.004039764404296875,
0.02923583984375,
-0.048614501953125,
-0.03668212890625,
-0.0193176269531... |
dbmdz/distilbert-base-german-europeana-cased | 2022-06-09T07:27:27.000Z | [
"transformers",
"pytorch",
"tf",
"distilbert",
"historic german",
"de",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | dbmdz | null | null | dbmdz/distilbert-base-german-europeana-cased | 6 | 955 | transformers | 2022-03-02T23:29:05 | ---
language: de
license: mit
tags:
- "historic german"
---
# 🤗 + 📚 dbmdz DistilBERT model
In this repository the MDZ Digital Library team (dbmdz) at the Bavarian State
Library open sources a German Europeana DistilBERT model 🎉
# German Europeana DistilBERT
We use the open source [Europeana newspapers](http://... | 1,720 | [
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grammarly/coedit-xl-composite | 2023-10-05T17:26:04.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:asset",
"dataset:wi_locness",
"dataset:GEM/wiki_auto_asset_turk",
"dataset:discofuse",
"dataset:zaemyung/IteraTeR_plus",
"dataset:jfleg",
"dataset:grammarly/coedit",
"arxiv:2305.09857",
"license:cc-by-nc-4.0",
"autot... | text2text-generation | grammarly | null | null | grammarly/coedit-xl-composite | 15 | 955 | transformers | 2023-05-12T00:15:50 | ---
license: cc-by-nc-4.0
datasets:
- asset
- wi_locness
- GEM/wiki_auto_asset_turk
- discofuse
- zaemyung/IteraTeR_plus
- jfleg
- grammarly/coedit
language:
- en
metrics:
- sari
- bleu
- accuracy
---
# Model Card for CoEdIT-xl-composite
This model was obtained by fine-tuning the corresponding `google/flan-t5-xl` mode... | 2,634 | [
[
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hf-internal-testing/tiny-stable-diffusion-pipe-ignore-files | 2023-04-25T09:49:12.000Z | [
"diffusers",
"text-to-image",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | hf-internal-testing | null | null | hf-internal-testing/tiny-stable-diffusion-pipe-ignore-files | 0 | 954 | diffusers | 2023-04-25T09:47:55 | ---
library_name: diffusers
tags:
- text-to-image
duplicated_from: hf-internal-testing/tiny-stable-diffusion-pipe-no-safety
---
```py
from diffusers import DiffusionPipeline
pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-stable-diffusion-pipe")
``` | 269 | [
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NousResearch/Yarn-Llama-2-13b-128k | 2023-09-04T05:28:26.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"custom_code",
"dataset:pg19",
"arxiv:2309.00071",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | NousResearch | null | null | NousResearch/Yarn-Llama-2-13b-128k | 94 | 954 | transformers | 2023-08-30T20:31:56 | ---
datasets:
- pg19
metrics:
- perplexity
library_name: transformers
---
# Model Card: Nous-Yarn-Llama-2-13b-128k
[Preprint (arXiv)](https://arxiv.org/abs/2309.00071)
[GitHub](https://github.com/jquesnelle/yarn)
## Model Description
Nous-Yarn-Llama-2-13b-128k is a state-of-the-art language model for long context,... | 2,260 | [
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timm/flexivit_small.1200ep_in1k | 2023-05-05T23:59:51.000Z | [
"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_small.1200ep_in1k | 0 | 953 | timm | 2022-12-22T07:22:17 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for flexivit_small.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 cl... | 3,700 | [
[
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timm/seresnet50.a1_in1k | 2023-04-05T19:30:36.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2110.00476",
"arxiv:1512.03385",
"arxiv:1709.01507",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/seresnet50.a1_in1k | 0 | 953 | timm | 2023-04-05T19:30:17 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
---
# Model card for seresnet50.a1_in1k
A SE-ResNet-B image classification model with Squeeze-and-Excitation channel attention.
This model features:
* ReLU activations
* single layer 7x7 convolution with pooling
* 1x1 convolution shortcu... | 38,794 | [
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-0.002... |
Helsinki-NLP/opus-mt-ng-en | 2023-08-16T12:01:26.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ng",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-ng-en | 0 | 952 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ng-en
* source languages: ng
* target languages: en
* OPUS readme: [ng-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ng-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 816 | [
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timm/vit_large_patch14_clip_224.openai | 2022-12-24T21:48:28.000Z | [
"timm",
"pytorch",
"vision",
"arxiv:2103.00020",
"arxiv:1908.04913",
"license:apache-2.0",
"region:us"
] | null | timm | null | null | timm/vit_large_patch14_clip_224.openai | 2 | 952 | timm | 2022-11-01T22:03:48 | ---
tags:
- timm
- vision
library_tag: timm
license: apache-2.0
---
# 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 tasks. The model was also developed to test the ability of models to generalize to ... | 6,328 | [
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timm/efficientnet_b1_pruned.in1k | 2023-04-27T21:10:02.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:2002.08258",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/efficientnet_b1_pruned.in1k | 0 | 951 | timm | 2022-12-12T23:56:12 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for efficientnet_b1_pruned.in1k
A EfficientNet image classification model. Knapsack pruned from existing weights.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Mode... | 4,272 | [
[
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-0... |
potsawee/t5-large-generation-race-Distractor | 2023-03-12T16:51:23.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:race",
"arxiv:2301.12307",
"license:apache-2.0",
"autotrain_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | potsawee | null | null | potsawee/t5-large-generation-race-Distractor | 5 | 951 | transformers | 2023-02-23T01:01:34 | ---
license: apache-2.0
datasets:
- race
language:
- en
library_name: transformers
pipeline_tag: text2text-generation
inference: false
---
# t5-large fine-tuned to RACE for Generating Distractors
- Input: `question <sep> answer <sep> context`
- Output: list of 3 distractors
## Model Details
t5-large model is fine-tun... | 3,116 | [
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TIGER-Lab/MAmmoTH-Coder-7B | 2023-10-23T02:59:42.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:TIGER-Lab/MathInstruct",
"arxiv:2309.05653",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | TIGER-Lab | null | null | TIGER-Lab/MAmmoTH-Coder-7B | 12 | 951 | transformers | 2023-09-10T17:56:14 | ---
license: mit
datasets:
- TIGER-Lab/MathInstruct
language:
- en
---
# 🦣 MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
Project Page: [https://tiger-ai-lab.github.io/MAmmoTH/](https://tiger-ai-lab.github.io/MAmmoTH/)
Paper: [https://arxiv.org/pdf/2309.05653.pdf](https://arxiv.org/pdf/23... | 7,684 | [
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artificialguybr/bettertextredmond | 2023-09-16T15:48:26.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"license:creativeml-openrail-m",
"has_space",
"region:us"
] | text-to-image | artificialguybr | null | null | artificialguybr/bettertextredmond | 7 | 951 | diffusers | 2023-09-16T15:39:43 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt:
widget:
- text:
---
# BetterText.Redmond

BetterText.Redmond is here!
Introducing BetterText.Redmond, a concept... | 1,116 | [
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timm/maxvit_rmlp_nano_rw_256.sw_in1k | 2023-05-11T00:18:58.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2204.01697",
"arxiv:2111.09883",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_rmlp_nano_rw_256.sw_in1k | 0 | 950 | timm | 2023-01-20T21:33:49 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for maxvit_rmlp_nano_rw_256.sw_in1k
A timm specific MaxViT (w/ a MLP Log-CPB (continuous log-coordinate relative position bias motivated by Swin-V2) image classification model. Trained in `timm` on I... | 22,316 | [
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digiplay/NightmareShaper_v2DarkageLobotomy | 2023-10-14T16:59:13.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us",
"has_space"
] | text-to-image | digiplay | null | null | digiplay/NightmareShaper_v2DarkageLobotomy | 1 | 950 | diffusers | 2023-10-12T03:13:29 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/93249?modelVersionId=126956
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TheBloke/Nous-Hermes-Llama2-GPTQ | 2023-09-27T12:44:58.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-2",
"self-instruct",
"distillation",
"synthetic instruction",
"en",
"license:mit",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Nous-Hermes-Llama2-GPTQ | 56 | 949 | transformers | 2023-07-21T21:33:03 | ---
language:
- en
license:
- mit
tags:
- llama-2
- self-instruct
- distillation
- synthetic instruction
model_name: Nous Hermes Llama 2 13B
base_model: NousResearch/Nous-Hermes-Llama2-13b
inference: false
model_creator: NousResearch
model_type: llama
prompt_template: 'Below is an instruction that describes a task. Wri... | 24,795 | [
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Qwen/Qwen-14B-Chat-Int8 | 2023-11-05T03:27:23.000Z | [
"transformers",
"safetensors",
"qwen",
"text-generation",
"custom_code",
"zh",
"en",
"arxiv:2309.16609",
"arxiv:2305.08322",
"arxiv:2009.03300",
"arxiv:2305.05280",
"arxiv:2210.03629",
"region:us"
] | text-generation | Qwen | null | null | Qwen/Qwen-14B-Chat-Int8 | 2 | 949 | transformers | 2023-10-12T08:23:31 | ---
language:
- zh
- en
tags:
- qwen
pipeline_tag: text-generation
inference: false
---
# Qwen-14B-Chat-Int8
<p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/logo_qwen.jpg" width="400"/>
<p>
<br>
<p align="center">
🤗 <a href="https://huggingface.co/Qwen">Hugging Face</a> ... | 26,698 | [
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-0.03787231445312... |
PKU-Alignment/alpaca-7b-reproduced | 2023-07-17T11:58:52.000Z | [
"safe-rlhf",
"pytorch",
"llama",
"instruction-following",
"instruction-fine-tuning",
"supervised-fine-tuning",
"ift",
"sft",
"deepspeed",
"beaver",
"alpaca",
"en",
"dataset:tatsu-lab/alpaca",
"arxiv:2302.13971",
"text-generation-inference",
"region:us"
] | null | PKU-Alignment | null | null | PKU-Alignment/alpaca-7b-reproduced | 0 | 948 | safe-rlhf | 2023-07-17T07:22:39 | ---
datasets:
- tatsu-lab/alpaca
language:
- en
tags:
- instruction-following
- instruction-fine-tuning
- supervised-fine-tuning
- ift
- sft
- deepspeed
- beaver
- llama
- alpaca
library_name: safe-rlhf
---
# 🦙 Alpaca (reprod.) Model Card
## Model Details
Alpaca is an instruction-following model trained based on th... | 6,384 | [
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charactr/vocos-mel-24khz | 2023-10-17T14:08:53.000Z | [
"pytorch",
"arxiv:2306.00814",
"license:mit",
"region:us"
] | null | charactr | null | null | charactr/vocos-mel-24khz | 3 | 947 | null | 2023-06-11T16:38:37 | ---
license: mit
---
# Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis
[Audio samples](https://charactr-platform.github.io/vocos/) |
Paper [[abs]](https://arxiv.org/abs/2306.00814) [[pdf]](https://arxiv.org/pdf/2306.00814.pdf)
Vocos is a fast neural vocod... | 1,830 | [
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lordjia/lelo-lego-lora | 2023-09-14T12:33:34.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"style",
"lego",
"toy",
"brickheadz",
"minifigures",
"license:other",
"has_space",
"region:us"
] | text-to-image | lordjia | null | null | lordjia/lelo-lego-lora | 6 | 947 | diffusers | 2023-09-14T12:33:30 | ---
license: other
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- style
- lego
- toy
- brickheadz
- minifigures
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: LEGO BrickHeadz
widget:
- text: "
LEGO Creator, a leopard walking in grass in africa"
- text: "
LEGO MiniFig, an astronaut... | 5,067 | [
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spacy/en_core_web_trf | 2023-10-10T06:29:12.000Z | [
"spacy",
"token-classification",
"en",
"license:mit",
"model-index",
"has_space",
"region:us"
] | token-classification | spacy | null | null | spacy/en_core_web_trf | 30 | 946 | spacy | 2022-03-02T23:29:05 | ---
tags:
- spacy
- token-classification
language:
- en
license: mit
model-index:
- name: en_core_web_trf
results:
- task:
name: NER
type: token-classification
metrics:
- name: NER Precision
type: precision
value: 0.8994886705
- name: NER Recall
type: recall
value: 0.... | 4,011 | [
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VegaKH/Ultraskin | 2023-03-07T17:24:09.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"photographic",
"skin",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | VegaKH | null | null | VegaKH/Ultraskin | 26 | 946 | diffusers | 2022-12-30T19:05:44 | ---
language:
- en
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- photographic
- skin
- diffusers
inference: true
license: creativeml-openrail-m
---
# Ultraskin 0.9 - SD 2.1 768 finetuned on images of ultra-detailed human skin
This model will add a LOT of skin detail compared to SD 2.1. Somet... | 1,776 | [
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-0... |
timm/resnetrs101.tf_in1k | 2023-04-05T18:46:34.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2103.07579",
"arxiv:1512.03385",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/resnetrs101.tf_in1k | 0 | 946 | timm | 2023-04-05T18:45:47 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
---
# Model card for resnetrs101.tf_in1k
A ResNetRS-B image classification model.
This model features:
* ReLU activations
* single layer 7x7 convolution with pooling
* 1x1 convolution shortcut downsample
Trained on ImageNet-1k by paper ... | 38,368 | [
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... |
haor/Evt_V3 | 2023-05-10T16:05:17.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"anime",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | haor | null | null | haor/Evt_V3 | 72 | 945 | diffusers | 2022-11-26T14:06:41 | ---
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- anime
- diffusers
license: creativeml-openrail-m
---
# Evt_V3
Based on Evt_V2 with 20 epochs fine-tuning using 35467 images
### Examples


```... | 2,506 | [
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0.00... |
JorisCos/ConvTasNet_Libri2Mix_sepclean_16k | 2021-09-23T15:48:54.000Z | [
"asteroid",
"pytorch",
"audio",
"ConvTasNet",
"audio-to-audio",
"dataset:Libri2Mix",
"dataset:sep_clean",
"license:cc-by-sa-4.0",
"has_space",
"region:us"
] | audio-to-audio | JorisCos | null | null | JorisCos/ConvTasNet_Libri2Mix_sepclean_16k | 2 | 944 | asteroid | 2022-03-02T23:29:04 | ---
tags:
- asteroid
- audio
- ConvTasNet
- audio-to-audio
datasets:
- Libri2Mix
- sep_clean
license: cc-by-sa-4.0
---
## Asteroid model `JorisCos/ConvTasNet_Libri2Mix_sepclean_16k`
Description:
This model was trained by Joris Cosentino using the librimix recipe in [Asteroid](https://github.com/asteroid-team/asteroi... | 1,629 | [
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espnet/kamo-naoyuki-mini_an4_asr_train_raw_bpe_valid.acc.best | 2021-07-02T12:57:18.000Z | [
"espnet",
"audio",
"automatic-speech-recognition",
"en",
"dataset:mini-an4",
"arxiv:1804.00015",
"license:cc-by-4.0",
"region:us"
] | automatic-speech-recognition | espnet | null | null | espnet/kamo-naoyuki-mini_an4_asr_train_raw_bpe_valid.acc.best | 1 | 944 | espnet | 2022-03-02T23:29:05 | ---
tags:
- espnet
- audio
- automatic-speech-recognition
language: en
datasets:
- mini-an4
license: cc-by-4.0
---
# ESPnet2 ASR pretrained model
## `kamo-naoyuki/mini_an4_asr_train_raw_bpe_valid.acc.best`
♻️ Imported from <https://zenodo.org/record/3957940#.YN7zwJozZH4>
This model was trained by kan-bayashi using j... | 2,480 | [
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nickmuchi/yolos-small-finetuned-masks | 2023-03-21T09:47:27.000Z | [
"transformers",
"pytorch",
"safetensors",
"yolos",
"object-detection",
"face-mask-detection",
"dataset:coco",
"dataset:face-mask-detection",
"arxiv:2106.00666",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | object-detection | nickmuchi | null | null | nickmuchi/yolos-small-finetuned-masks | 0 | 943 | transformers | 2022-06-17T14:29:47 | ---
license: apache-2.0
tags:
- object-detection
- face-mask-detection
datasets:
- coco
- face-mask-detection
widget:
- src: https://drive.google.com/uc?id=1VwYLbGak5c-2P5qdvfWVOeg7DTDYPbro
example_title: "City Folk"
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/football-match.jpg
example... | 4,114 | [
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0.... |
Green-Sky/FaRL-Base-Patch16-LAIONFace20M-ep64 | 2023-09-06T16:25:52.000Z | [
"transformers",
"pytorch",
"safetensors",
"clip",
"zero-shot-image-classification",
"license:mit",
"endpoints_compatible",
"region:us"
] | zero-shot-image-classification | Green-Sky | null | null | Green-Sky/FaRL-Base-Patch16-LAIONFace20M-ep64 | 0 | 943 | transformers | 2023-06-19T21:33:48 | ---
license: mit
---
[FaRL](https://github.com/FacePerceiver/FaRL) checkpoint converted for huggingface transformer lib (CLIP) | 127 | [
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-0.0275573... |
acozma/controlnet-fill50k | 2023-10-10T21:36:41.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"controlnet",
"license:creativeml-openrail-m",
"diffusers:ControlNetModel",
"region:us"
] | text-to-image | acozma | null | null | acozma/controlnet-fill50k | 0 | 943 | diffusers | 2023-10-05T19:59:26 |
---
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- controlnet
inference: true
---
# controlnet-acozma/controlnet-fill50k
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new t... | 529 | [
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-0.01... |
timm/tf_efficientnet_l2.ns_jft_in1k | 2023-04-27T21:33:47.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"arxiv:1911.04252",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_l2.ns_jft_in1k | 1 | 942 | timm | 2022-12-13T00:09:14 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_l2.ns_jft_in1k
A EfficientNet image classification model. Trained on ImageNet-1k and unlabeled JFT-300m using Noisy Student semi-supervised learning in Tensorflow by paper authors... | 4,615 | [
[
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timm/eva_giant_patch14_336.clip_ft_in1k | 2023-03-31T05:59:05.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2303.15389",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/eva_giant_patch14_336.clip_ft_in1k | 0 | 939 | timm | 2022-12-23T02:41:35 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
---
# Model card for eva_giant_patch14_336.clip_ft_in1k
An EVA-CLIP image classification model. Pretrained on LAION-400M with CLIP and fine-tuned on ImageNet-1k by paper authors. EVA-CLIP uses MIM pretrained image towers and pretrained text towers,... | 4,897 | [
[
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0.0... |
VoVanPhuc/bge-base-vi | 2023-08-27T03:18:59.000Z | [
"transformers",
"pytorch",
"roberta",
"feature-extraction",
"sentence-similarity",
"vi",
"endpoints_compatible",
"region:us"
] | sentence-similarity | VoVanPhuc | null | null | VoVanPhuc/bge-base-vi | 2 | 939 | transformers | 2023-08-24T08:23:49 | ---
pipeline_tag: sentence-similarity
language:
- vi
library_name: transformers
---
## <a name="sentences-transformers"></a> Using bge-base-vi with `sentences-transformers`
### Installation <a name="install1"></a>
- Install `sentence-transformers`:
- `pip install -U sentence-transformers`
- Install `pyvi` to... | 2,841 | [
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stacked-summaries/flan-t5-large-stacked-samsum-1024 | 2023-09-23T20:43:51.000Z | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"summarization",
"stacked summaries",
"prompt engineering",
"en",
"dataset:stacked-summaries/stacked-samsum-1024",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"end... | summarization | stacked-summaries | null | null | stacked-summaries/flan-t5-large-stacked-samsum-1024 | 9 | 938 | transformers | 2022-12-06T04:53:32 | ---
language:
- en
license: apache-2.0
library_name: transformers
tags:
- generated_from_trainer
- summarization
- stacked summaries
- prompt engineering
datasets:
- stacked-summaries/stacked-samsum-1024
metrics:
- rouge
pipeline_tag: summarization
base_model: google/flan-t5-large
model-index:
- name: flan-t5-large-sta... | 3,835 | [
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0.0308380126953125,
0.0230255126953125,
-0.04107666015625,
-0.054046630859375,
-0.05401611328125... |
timm/tf_efficientnet_lite1.in1k | 2023-04-27T21:38:17.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1905.11946",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tf_efficientnet_lite1.in1k | 0 | 938 | timm | 2022-12-13T00:13:35 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tf_efficientnet_lite1.in1k
A EfficientNet-Lite image classification model. Trained on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.
## Model Details
- **Model ... | 4,088 | [
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alimazhar-110/website_classification | 2023-02-03T07:17:44.000Z | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | alimazhar-110 | null | null | alimazhar-110/website_classification | 27 | 938 | transformers | 2023-02-02T15:43:15 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: website_classification
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it,... | 4,224 | [
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digiplay/CoffeeMix_v2 | 2023-07-21T13:10:52.000Z | [
"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/CoffeeMix_v2 | 6 | 937 | diffusers | 2023-07-07T03:31:07 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/40630?modelVersionId=53475
Original Author's DEMO image:
 to Huggingface model via [HF's conversion script](https://github.com/huggingface/transformers/blo... | 9,277 | [
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mfrashad/chilloutmix_NiPrunedFp32Fix | 2023-08-03T04:37:33.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | mfrashad | null | null | mfrashad/chilloutmix_NiPrunedFp32Fix | 1 | 936 | diffusers | 2023-08-03T03:35:08 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
duplicated_from: emilianJR/chilloutmix_NiPrunedFp32Fix
---
Diffuser model for this SD checkpoint:
https://civitai.com/models/6424/chilloutmix
**emilianJR/chilloutmix_NiPr... | 1,994 | [
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pranaykoppula/hughdb2 | 2023-10-11T12:14:31.000Z | [
"diffusers",
"dreambooth",
"text-to-image",
"dataset:pranaykoppula/hughdb-dataset",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | pranaykoppula | null | null | pranaykoppula/hughdb2 | 0 | 936 | diffusers | 2023-09-29T09:18:17 | ---
datasets:
- pranaykoppula/hughdb-dataset
tags:
- dreambooth
pipeline_tag: text-to-image
---
Dreambooth Model trained to generate images of a subject. | 153 | [
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timm/efficientvit_m3.r224_in1k | 2023-08-18T23:21:46.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2305.07027",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/efficientvit_m3.r224_in1k | 0 | 935 | timm | 2023-08-18T23:21:39 | ---
tags:
- image-classification
- timm
library_name: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for efficientvit_m3.r224_in1k
An EfficientViT (MSRA) image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Mode... | 3,764 | [
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0.01027679443359375,
0.0230865478515625,
-0.03515625,
-0.0450439453125,
-0.04901123046875,
-0.0171... |
timm/maxvit_large_tf_512.in1k | 2023-05-11T00:12:30.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2204.01697",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/maxvit_large_tf_512.in1k | 0 | 934 | timm | 2022-12-02T21:54:04 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for maxvit_large_tf_512.in1k
An official MaxViT image classification model. Trained in tensorflow on ImageNet-1k by paper authors.
Ported from official Tensorflow implementation (https://github.com/g... | 22,121 | [
[
-0.05279541015625,
-0.030487060546875,
0.0022983551025390625,
0.03143310546875,
-0.024627685546875,
-0.017120361328125,
-0.01238250732421875,
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0.05560302734375,
0.016510009765625,
-0.040924072265625,
-0.04669189453125,
-0.04742431640625,
-... |
DReAMy-lib/xlm-roberta-large-DreamBank-emotion-presence | 2023-03-29T10:51:26.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"arxiv:2302.14828",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | DReAMy-lib | null | null | DReAMy-lib/xlm-roberta-large-DreamBank-emotion-presence | 0 | 934 | transformers | 2023-01-20T13:50:19 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: xlm-roberta-large-DreamBank
results: []
widget:
- text: >-
I dreamed that Hannah and Sue and I travelled back in time to meet her
parents. Weird.
pipeline_tag: text-classification
---
<!-- This model card has been g... | 2,921 | [
[
-0.03369140625,
-0.055816650390625,
0.0200958251953125,
0.0007648468017578125,
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0.026031494140625,
0.0308990478515625,
-0.038848876953125,
-0.05523681640625,
-0.05340576171875,
... |
abhishek/autotrain_fashion_mnist_vit_base | 2022-06-23T13:48:56.000Z | [
"transformers",
"pytorch",
"vit",
"image-classification",
"autotrain",
"dataset:abhishek/autotrain-data-vision_877913e77fb94b7abd4dafc5ebf830b0",
"dataset:fashion_mnist",
"model-index",
"co2_eq_emissions",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | abhishek | null | null | abhishek/autotrain_fashion_mnist_vit_base | 4 | 933 | transformers | 2022-06-23T12:59:26 | ---
tags: autotrain
datasets:
- abhishek/autotrain-data-vision_877913e77fb94b7abd4dafc5ebf830b0
- fashion_mnist
co2_eq_emissions: 0.2438639401641305
model-index:
- name: autotrain_fashion_mnist_vit_base
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: fashi... | 2,180 | [
[
-0.0257415771484375,
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0.0020275115966796875,
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0.0035915374755859375,
-0.01389312744140625,
-0.0169677734375,
-0.006389617919921875,
-0.0292205810546875,
-0.0435791015625,
-0.0504150... |
TheBloke/stablecode-instruct-alpha-3b-GPTQ | 2023-09-27T13:01:11.000Z | [
"transformers",
"safetensors",
"gpt_neox",
"text-generation",
"arxiv:2104.09864",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/stablecode-instruct-alpha-3b-GPTQ | 15 | 933 | transformers | 2023-08-08T21:29:30 | ---
model_name: Stablecode Instruct Alpha 3B
inference: false
model_creator: StabilityAI
model_link: https://huggingface.co/stabilityai/stablecode-instruct-alpha-3b
model_type: gptneox
quantized_by: TheBloke
base_model: stabilityai/stablecode-instruct-alpha-3b
---
<!-- header start -->
<!-- 200823 -->
<div style="widt... | 17,082 | [
[
-0.039306640625,
-0.06475830078125,
0.00711822509765625,
0.01374053955078125,
-0.02069091796875,
-0.00988006591796875,
0.0031795501708984375,
-0.040191650390625,
0.020721435546875,
0.0226898193359375,
-0.040863037109375,
-0.03680419921875,
-0.029266357421875,
... |
Aixile/CLIP-ViT-H-14-laion2B-s32B-b79K | 2023-09-14T10:33:50.000Z | [
"open_clip",
"pytorch",
"clip",
"zero-shot-image-classification",
"arxiv:1910.04867",
"license:mit",
"region:us"
] | zero-shot-image-classification | Aixile | null | null | Aixile/CLIP-ViT-H-14-laion2B-s32B-b79K | 0 | 933 | open_clip | 2023-09-14T10:31:52 | ---
license: mit
widget:
- src: >-
https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-dog-music.png
candidate_labels: playing music, playing sports
example_title: Cat & Dog
library_name: open_clip
pipeline_tag: zero-shot-image-classification
---
# Model Card for CLIP ViT-H/14 - LAION-2B
# T... | 8,203 | [
[
-0.0226287841796875,
-0.0440673828125,
0.016143798828125,
0.00197601318359375,
-0.029266357421875,
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-0.04559326171875,
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... |
facebook/s2t-medium-mustc-multilingual-st | 2023-01-24T16:31:33.000Z | [
"transformers",
"pytorch",
"tf",
"speech_to_text",
"automatic-speech-recognition",
"audio",
"speech-translation",
"en",
"de",
"nl",
"es",
"fr",
"it",
"pt",
"ro",
"ru",
"dataset:mustc",
"arxiv:2010.05171",
"arxiv:1904.08779",
"license:mit",
"endpoints_compatible",
"region:us... | automatic-speech-recognition | facebook | null | null | facebook/s2t-medium-mustc-multilingual-st | 2 | 932 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
- de
- nl
- es
- fr
- it
- pt
- ro
- ru
datasets:
- mustc
tags:
- audio
- speech-translation
- automatic-speech-recognition
pipeline_tag: automatic-speech-recognition
license: mit
---
# S2T-MEDIUM-MUSTC-MULTILINGUAL-ST
`s2t-medium-mustc-multilingual-st` is a Speech to Text Transformer (S2T) model ... | 5,529 | [
[
-0.00666046142578125,
-0.053985595703125,
0.006198883056640625,
0.0281829833984375,
-0.0235748291015625,
-0.01042938232421875,
-0.042327880859375,
-0.031890869140625,
0.0088348388671875,
0.0261077880859375,
-0.049041748046875,
-0.03643798828125,
-0.0552368164062... |
ltg/norbert2 | 2023-07-03T16:11:06.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"bert",
"fill-mask",
"norwegian",
"no",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | ltg | null | null | ltg/norbert2 | 8 | 932 | transformers | 2022-03-02T23:29:05 | ---
language: no
license: cc-by-4.0
pipeline_tag: fill-mask
tags:
- norwegian
- bert
thumbnail: https://raw.githubusercontent.com/ltgoslo/NorBERT/main/Norbert.png
widget:
- text: "Nå ønsker de seg en [MASK] bolig. "
---
## Quickstart
**Release 2.0** (February 7, 2022)
Trained on the very large corpus of Norwegian (C4... | 2,053 | [
[
-0.0311431884765625,
-0.04290771484375,
0.00986480712890625,
0.0213623046875,
-0.0281982421875,
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-0.026214599609375,
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0.007633209228515625,
0.052276611328125,
-0.0245208740234375,
-0.058685302734375,
-0.02508544921875,
-0.00... |
cffl/bert-base-styleclassification-subjective-neutral | 2022-07-12T11:57:42.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"arxiv:1911.09709",
"arxiv:1703.01365",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | cffl | null | null | cffl/bert-base-styleclassification-subjective-neutral | 5 | 931 | transformers | 2022-07-01T19:35:53 | ---
license: apache-2.0
---
# bert-base-styleclassification-subjective-neutral
## Model description
This [bert-base-uncased](https://huggingface.co/bert-base-uncased) model has been fine-tuned on the [Wiki Neutrality Corpus (WNC)](https://arxiv.org/pdf/1911.09709.pdf) - a parallel corpus of 180,000 biased and neutra... | 4,530 | [
[
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0.023284912109375,
-0.039459228515625,
-0.0443115234375,
-0.046783447265625,
0.005985... |
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