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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
lmsys/vicuna-13b-v1.5-16k | 2023-10-06T19:46:12.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2307.09288",
"arxiv:2306.05685",
"license:llama2",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | lmsys | null | null | lmsys/vicuna-13b-v1.5-16k | 179 | 48,048 | transformers | 2023-08-01T16:51:46 | ---
inference: false
license: llama2
---
# Vicuna Model Card
## Model Details
Vicuna is a chat assistant trained by fine-tuning Llama 2 on user-shared conversations collected from ShareGPT.
- **Developed by:** [LMSYS](https://lmsys.org/)
- **Model type:** An auto-regressive language model based on the transformer a... | 2,071 | [
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-0.0465087890625,
-0.038238525390625,
-0.00372... |
nbroad/ESG-BERT | 2023-04-26T04:50:33.000Z | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"en",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | text-classification | nbroad | null | null | nbroad/ESG-BERT | 42 | 48,041 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
widget:
- text: "In fiscal year 2019, we reduced our comprehensive carbon footprint for the fourth consecutive year—down 35 percent compared to 2015, when Apple’s carbon emissions peaked, even as net revenue increased by 11 percent over that same period. In the past year, we avoided over 10 million m... | 11,665 | [
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... |
KoboldAI/OPT-6B-nerys-v2 | 2022-07-04T07:45:47.000Z | [
"transformers",
"pytorch",
"opt",
"text-generation",
"en",
"arxiv:2205.01068",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | KoboldAI | null | null | KoboldAI/OPT-6B-nerys-v2 | 21 | 47,884 | transformers | 2022-06-26T10:24:25 | ---
language: en
license: other
commercial: no
---
# OPT 6B - Nerys
## Model Description
OPT 6B-Nerys is a finetune created using Facebook's OPT model.
## Training data
The training data contains around 2500 ebooks in various genres (the "Pike" dataset), a CYOA dataset called "CYS" and 50 Asian "Light Novels" (the "Man... | 1,924 | [
[
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0... |
cross-encoder/ms-marco-TinyBERT-L-2 | 2021-08-05T08:39:52.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"text-classification",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | cross-encoder | null | null | cross-encoder/ms-marco-TinyBERT-L-2 | 5 | 47,632 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
---
# Cross-Encoder for MS Marco
This model was trained on the [MS Marco Passage Ranking](https://github.com/microsoft/MSMARCO-Passage-Ranking) task.
The model can be used for Information Retrieval: Given a query, encode the query will all possible passages (e.g. retrieved with ElasticSearch).... | 3,233 | [
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timm/convnext_base.fb_in22k_ft_in1k | 2023-03-31T22:03:16.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2201.03545",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/convnext_base.fb_in22k_ft_in1k | 0 | 47,529 | timm | 2022-12-13T07:07:23 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for convnext_base.fb_in22k_ft_in1k
A ConvNeXt image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
## Model Details
- **Model Type:**... | 15,738 | [
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facebook/m2m100_1.2B | 2023-01-24T16:30:46.000Z | [
"transformers",
"pytorch",
"rust",
"m2m_100",
"text2text-generation",
"multilingual",
"af",
"am",
"ar",
"ast",
"az",
"ba",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"ceb",
"cs",
"cy",
"da",
"de",
"el",
"en",
"es",
"et",
"fa",
"ff",
"fi",
"fr",
"fy",
"ga",
... | text2text-generation | facebook | null | null | facebook/m2m100_1.2B | 55 | 47,469 | transformers | 2022-03-02T23:29:05 | ---
language:
- multilingual
- af
- am
- ar
- ast
- az
- ba
- be
- bg
- bn
- br
- bs
- ca
- ceb
- cs
- cy
- da
- de
- el
- en
- es
- et
- fa
- ff
- fi
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- he
- hi
- hr
- ht
- hu
- hy
- id
- ig
- ilo
- is
- it
- ja
- jv
- ka
- kk
- km
- kn
- ko
- lb
- lg
- ln
- lo
- lt
- lv
- mg
- mk
- ... | 4,538 | [
[
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guillaumekln/faster-whisper-base.en | 2023-05-12T18:57:21.000Z | [
"ctranslate2",
"audio",
"automatic-speech-recognition",
"en",
"license:mit",
"region:us"
] | automatic-speech-recognition | guillaumekln | null | null | guillaumekln/faster-whisper-base.en | 2 | 47,165 | ctranslate2 | 2023-03-23T10:18:04 | ---
language:
- en
tags:
- audio
- automatic-speech-recognition
license: mit
library_name: ctranslate2
---
# Whisper base.en model for CTranslate2
This repository contains the conversion of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) to the [CTranslate2](https://github.com/OpenNMT/CT... | 1,328 | [
[
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StanfordAIMI/stanford-deidentifier-only-i2b2 | 2022-11-23T19:45:04.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"sequence-tagger-model",
"pubmedbert",
"uncased",
"radiology",
"biomedical",
"en",
"dataset:radreports",
"license:mit",
"endpoints_compatible",
"region:us"
] | token-classification | StanfordAIMI | null | null | StanfordAIMI/stanford-deidentifier-only-i2b2 | 3 | 47,009 | transformers | 2022-06-09T08:10:52 | ---
widget:
- text: "PROCEDURE: Chest xray. COMPARISON: last seen on 1/1/2020 and also record dated of March 1st, 2019. FINDINGS: patchy airspace opacities. IMPRESSION: The results of the chest xray of January 1 2020 are the most concerning ones. The patient was transmitted to another service of UH Medical Center under... | 3,445 | [
[
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-0.0241546630859375,
-0.049530029296875,
-0.054229736328125... |
jinaai/jina-embeddings-v2-base-en | 2023-11-03T18:11:58.000Z | [
"sentence-transformers",
"pytorch",
"coreml",
"onnx",
"safetensors",
"bert",
"finetuner",
"mteb",
"feature-extraction",
"sentence-similarity",
"alibi",
"custom_code",
"en",
"dataset:allenai/c4",
"arxiv:2108.12409",
"arxiv:2310.19923",
"arxiv:2307.11224",
"license:apache-2.0",
"mo... | feature-extraction | jinaai | null | null | jinaai/jina-embeddings-v2-base-en | 413 | 46,988 | sentence-transformers | 2023-09-27T17:04:00 | ---
tags:
- finetuner
- mteb
- sentence-transformers
- feature-extraction
- sentence-similarity
- alibi
datasets:
- allenai/c4
language: en
inference: false
license: apache-2.0
model-index:
- name: jina-embedding-b-en-v2
results:
- task:
type: Classification
dataset:
type: mteb/amazon_... | 67,932 | [
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0... |
facebook/mask2former-swin-large-coco-instance | 2023-09-11T20:35:35.000Z | [
"transformers",
"pytorch",
"safetensors",
"mask2former",
"vision",
"image-segmentation",
"dataset:coco",
"arxiv:2112.01527",
"arxiv:2107.06278",
"license:other",
"endpoints_compatible",
"region:us"
] | image-segmentation | facebook | null | null | facebook/mask2former-swin-large-coco-instance | 3 | 46,932 | transformers | 2023-01-02T12:10:40 | ---
license: other
tags:
- vision
- image-segmentation
datasets:
- coco
widget:
- src: http://images.cocodataset.org/val2017/000000039769.jpg
example_title: Cats
- src: http://images.cocodataset.org/val2017/000000039770.jpg
example_title: Castle
---
# Mask2Former
Mask2Former model trained on COCO instance segment... | 3,193 | [
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sentence-transformers/multi-qa-distilbert-cos-v1 | 2023-11-02T09:30:28.000Z | [
"sentence-transformers",
"pytorch",
"distilbert",
"feature-extraction",
"sentence-similarity",
"en",
"dataset:flax-sentence-embeddings/stackexchange_xml",
"dataset:ms_marco",
"dataset:gooaq",
"dataset:yahoo_answers_topics",
"dataset:search_qa",
"dataset:eli5",
"dataset:natural_questions",
... | sentence-similarity | sentence-transformers | null | null | sentence-transformers/multi-qa-distilbert-cos-v1 | 14 | 46,920 | sentence-transformers | 2022-03-02T23:29:05 | ---
language:
- en
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
datasets:
- flax-sentence-embeddings/stackexchange_xml
- ms_marco
- gooaq
- yahoo_answers_topics
- search_qa
- eli5
- natural_questions
- trivia_qa
- embedding-data/QQP
- embedding-data/PAQ_pair... | 9,472 | [
[
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0.014... |
sagorsarker/codeswitch-hineng-lid-lince | 2023-08-06T14:36:55.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"bert",
"token-classification",
"codeswitching",
"hindi-english",
"language-identification",
"hi",
"en",
"multilingual",
"dataset:lince",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | sagorsarker | null | null | sagorsarker/codeswitch-hineng-lid-lince | 0 | 46,914 | transformers | 2022-03-02T23:29:05 | ---
language:
- hi
- en
- multilingual
license: mit
tags:
- codeswitching
- hindi-english
- language-identification
datasets:
- lince
---
# codeswitch-hineng-lid-lince
This is a pretrained model for **language identification** of `hindi-english` code-mixed data used from [LinCE](https://ritual.uh.edu/lince/home)
This... | 1,149 | [
[
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sagorsarker/codeswitch-hineng-pos-lince | 2023-03-19T12:46:40.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"bert",
"token-classification",
"codeswitching",
"hindi-english",
"pos",
"hi",
"en",
"multilingual",
"dataset:lince",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | sagorsarker | null | null | sagorsarker/codeswitch-hineng-pos-lince | 1 | 46,897 | transformers | 2022-03-02T23:29:05 | ---
language:
- hi
- en
- multilingual
license: mit
tags:
- codeswitching
- hindi-english
- pos
datasets:
- lince
---
# codeswitch-hineng-pos-lince
This is a pretrained model for **Part of Speech Tagging** of `hindi-english` code-mixed data used from [LinCE](https://ritual.uh.edu/lince/home)
This model is trained for... | 1,111 | [
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0.03173828125,
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Gryphe/MythoMax-L2-13b | 2023-09-04T18:58:36.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Gryphe | null | null | Gryphe/MythoMax-L2-13b | 133 | 46,849 | transformers | 2023-08-10T20:35:34 | ---
license: other
language:
- en
---
An improved, potentially even perfected variant of MythoMix, my [MythoLogic-L2](https://huggingface.co/Gryphe/MythoLogic-L2-13b) and [Huginn](https://huggingface.co/The-Face-Of-Goonery/Huginn-13b-FP16) merge using a highly experimental tensor type merge technique. The main differen... | 1,929 | [
[
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0.03204345703125,
0.0311279296875,
-0.0347900390625,
-0.0223236083984375,
-0.037841796875,
-0.0081939697265625... |
BAAI/bge-reranker-base | 2023-10-12T03:38:37.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"arxiv:2310.07554",
"arxiv:2309.07597",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | BAAI | null | null | BAAI/bge-reranker-base | 14 | 46,790 | transformers | 2023-09-11T12:30:04 | ---
license: mit
---
<h1 align="center">FlagEmbedding</h1>
<h4 align="center">
<p>
<a href=#model-list>Model List</a> |
<a href=#frequently-asked-questions>FAQ</a> |
<a href=#usage>Usage</a> |
<a href="#evaluation">Evaluation</a> |
<a href="#train">Train</a> |
<... | 27,150 | [
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-0.06549072265625,
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-0.004... |
Linaqruf/anything-v3.0 | 2023-03-28T03:19:30.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Linaqruf | null | null | Linaqruf/anything-v3.0 | 669 | 46,283 | diffusers | 2023-01-25T23:30:53 | ---
language:
- en
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
# Anything V5 (https://civitai.com/models/9409)
# Uploaded by the Real Anything V3 Author
# Please try it | 259 | [
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0.003... |
codellama/CodeLlama-7b-Instruct-hf | 2023-10-27T18:11:26.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"llama-2",
"code",
"arxiv:2308.12950",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | codellama | null | null | codellama/CodeLlama-7b-Instruct-hf | 88 | 46,269 | transformers | 2023-08-24T16:33:37 | ---
language:
- code
pipeline_tag: text-generation
tags:
- llama-2
license: llama2
---
# **Code Llama**
Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 34 billion parameters. This is the repository for the 7B instruct-tuned version in the Hugging Face Tr... | 6,160 | [
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-0.02862548828125,
-0.041961669921875,
-0.0438232421875,
0.0245... |
finiteautomata/bertweet-base-emotion-analysis | 2023-03-20T14:47:04.000Z | [
"transformers",
"pytorch",
"safetensors",
"roberta",
"text-classification",
"emotion-analysis",
"en",
"arxiv:2106.09462",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | finiteautomata | null | null | finiteautomata/bertweet-base-emotion-analysis | 11 | 46,262 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
tags:
- emotion-analysis
---
# Emotion Analysis in English
## bertweet-base-emotion-analysis
Repository: [https://github.com/finiteautomata/pysentimiento/](https://github.com/finiteautomata/pysentimiento/)
Model trained with EmoEvent corpus for Emotion detection in English. Base model is [B... | 1,547 | [
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0.014175... |
sentence-transformers/xlm-r-100langs-bert-base-nli-stsb-mean-tokens | 2022-06-15T20:39:21.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"xlm-roberta",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/xlm-r-100langs-bert-base-nli-stsb-mean-tokens | 4 | 46,045 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
**⚠️ This model is deprecated. Please don't use it as it produces sentence embeddings of low quality. You can find recommended sentence embedding models here: [SBERT.net... | 4,055 | [
[
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-0.033935546875,
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0.00768... |
valhalla/distilbart-mnli-12-1 | 2021-06-14T10:27:55.000Z | [
"transformers",
"pytorch",
"jax",
"bart",
"text-classification",
"distilbart",
"distilbart-mnli",
"zero-shot-classification",
"dataset:mnli",
"endpoints_compatible",
"has_space",
"region:us"
] | zero-shot-classification | valhalla | null | null | valhalla/distilbart-mnli-12-1 | 40 | 45,720 | transformers | 2022-03-02T23:29:05 | ---
datasets:
- mnli
tags:
- distilbart
- distilbart-mnli
pipeline_tag: zero-shot-classification
---
# DistilBart-MNLI
distilbart-mnli is the distilled version of bart-large-mnli created using the **No Teacher Distillation** technique proposed for BART summarisation by Huggingface, [here](https://github.com/huggingfa... | 2,406 | [
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-0.0119171142578125,
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0.01... |
guillaumekln/faster-whisper-small.en | 2023-05-12T18:57:44.000Z | [
"ctranslate2",
"audio",
"automatic-speech-recognition",
"en",
"license:mit",
"region:us"
] | automatic-speech-recognition | guillaumekln | null | null | guillaumekln/faster-whisper-small.en | 1 | 45,559 | ctranslate2 | 2023-03-23T10:20:17 | ---
language:
- en
tags:
- audio
- automatic-speech-recognition
license: mit
library_name: ctranslate2
---
# Whisper small.en model for CTranslate2
This repository contains the conversion of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.en) to the [CTranslate2](https://github.com/OpenNMT... | 1,335 | [
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stabilityai/stable-diffusion-xl-base-0.9 | 2023-07-12T13:55:37.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"arxiv:2108.01073",
"arxiv:2112.10752",
"arxiv:2307.01952",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | stabilityai | null | null | stabilityai/stable-diffusion-xl-base-0.9 | 1,339 | 45,524 | diffusers | 2023-06-19T15:30:11 | ---
license: other
extra_gated_prompt: >-
Copyright (c) Stability AI Ltd.
This License Agreement (as may be amended in accordance with this License
Agreement, “License”), between you, or your employer or other entity (if you
are entering into this agreement on behalf of your employer or other entity)
(“Lice... | 17,152 | [
[
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-... |
nlpaueb/legal-bert-small-uncased | 2022-04-28T14:43:32.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"legal",
"fill-mask",
"en",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | nlpaueb | null | null | nlpaueb/legal-bert-small-uncased | 19 | 45,383 | transformers | 2022-03-02T23:29:05 | ---
language: en
pipeline_tag: fill-mask
license: cc-by-sa-4.0
thumbnail: https://i.ibb.co/p3kQ7Rw/Screenshot-2020-10-06-at-12-16-36-PM.png
tags:
- legal
widget:
- text: "The applicant submitted that her husband was subjected to treatment amounting to [MASK] whilst in the custody of police."
---
# LEGAL-BERT: The Mupp... | 11,464 | [
[
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0.048858642578125,
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-0.0390625,
-0.007183074... |
sonoisa/sentence-luke-japanese-base-lite | 2023-03-20T01:32:34.000Z | [
"sentence-transformers",
"pytorch",
"luke",
"sentence-bert",
"sentence-luke",
"feature-extraction",
"sentence-similarity",
"ja",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | sonoisa | null | null | sonoisa/sentence-luke-japanese-base-lite | 7 | 45,252 | sentence-transformers | 2023-03-19T14:44:42 | ---
language: ja
license: apache-2.0
tags:
- sentence-transformers
- sentence-bert
- sentence-luke
- feature-extraction
- sentence-similarity
---
This is a Japanese sentence-LUKE model.
日本語用Sentence-LUKEモデルです。
[日本語Sentence-BERTモデル](https://huggingface.co/sonoisa/sentence-bert-base-ja-mean-tokens-v2)と同一のデータセットと設定で学習し... | 2,509 | [
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-0.054931640625,
-0.0020294... |
Helsinki-NLP/opus-mt-tr-en | 2023-08-16T12:07:23.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"tr",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-tr-en | 24 | 45,218 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-tr-en
* source languages: tr
* target languages: en
* OPUS readme: [tr-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tr-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 997 | [
[
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-0.046051025390625,
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... |
Rostlab/prot_t5_xl_half_uniref50-enc | 2023-01-31T21:04:38.000Z | [
"transformers",
"pytorch",
"t5",
"protein language model",
"dataset:UniRef50",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | null | Rostlab | null | null | Rostlab/prot_t5_xl_half_uniref50-enc | 12 | 45,060 | transformers | 2022-05-20T09:58:28 | ---
tags:
- protein language model
datasets:
- UniRef50
---
# Encoder only ProtT5-XL-UniRef50, half-precision model
An encoder-only, half-precision version of the [ProtT5-XL-UniRef50](https://huggingface.co/Rostlab/prot_t5_xl_uniref50) model. The original model and it's pretraining were introduced in
[this paper](htt... | 6,578 | [
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-0.05337524414062... |
TheBloke/MythoMax-L2-13B-GPTQ | 2023-09-27T12:45:40.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"en",
"license:other",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/MythoMax-L2-13B-GPTQ | 86 | 44,933 | transformers | 2023-08-11T07:27:24 | ---
language:
- en
license: other
model_name: MythoMax L2 13B
base_model: Gryphe/MythoMax-L2-13b
inference: false
model_creator: Gryphe
model_type: llama
prompt_template: '```
{system_message}
### Instruction:
{prompt}
(For roleplay purposes, I suggest the following - Write <CHAR NAME>''s next reply
in a... | 17,650 | [
[
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yuvalkirstain/PickScore_v1 | 2023-05-08T08:32:12.000Z | [
"transformers",
"pytorch",
"safetensors",
"clip",
"zero-shot-image-classification",
"arxiv:2305.01569",
"endpoints_compatible",
"has_space",
"region:us"
] | zero-shot-image-classification | yuvalkirstain | null | null | yuvalkirstain/PickScore_v1 | 17 | 44,877 | transformers | 2023-04-24T08:08:20 | # Model Card for PickScore v1
This model is a scoring function for images generated from text. It takes as input a prompt and a generated image and outputs a score.
It can be used as a general scoring function, and for tasks such as human preference prediction, model evaluation, image ranking, and more.
See our pape... | 3,227 | [
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0.0093841552734375,
0.017974853515625,
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... |
Seethal/sentiment_analysis_generic_dataset | 2022-04-19T06:26:33.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | Seethal | null | null | Seethal/sentiment_analysis_generic_dataset | 19 | 44,801 | transformers | 2022-04-13T18:37:07 | ## BERT base model (uncased)
Pretrained model on English language using a masked language modeling (MLM) objective. This model is uncased: it does not make a difference between english and English.
## Model description
BERT is a transformers model pretrained on a large corpus of English data in a self-supervised fashi... | 1,988 | [
[
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0.056640625,
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-0.051849365234375,
0.0028171539... |
sb3/ppo-CartPole-v1 | 2022-10-11T15:05:29.000Z | [
"stable-baselines3",
"CartPole-v1",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"has_space",
"region:us"
] | reinforcement-learning | sb3 | null | null | sb3/ppo-CartPole-v1 | 0 | 44,263 | stable-baselines3 | 2022-05-19T22:36:14 | ---
library_name: stable-baselines3
tags:
- CartPole-v1
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 500.00 +/- 0.00
name: mean_reward
task:
type: reinforcement-learning
name: reinfo... | 1,903 | [
[
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-0.048614501953125,
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-0... |
lmsys/vicuna-7b-v1.3 | 2023-08-01T18:26:56.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2302.13971",
"arxiv:2306.05685",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | lmsys | null | null | lmsys/vicuna-7b-v1.3 | 112 | 44,238 | transformers | 2023-06-18T03:36:42 | ---
inference: false
---
**NOTE: New version available**
Please check out a newer version of the weights [here](https://github.com/lm-sys/FastChat/blob/main/docs/vicuna_weights_version.md).
<br>
# Vicuna Model Card
## Model Details
Vicuna is a chat assistant trained by fine-tuning LLaMA on user-shared conversati... | 1,979 | [
[
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-0.06414794921875,
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-0.03717041015625,
-0.049285888671875,
... |
Vamsi/T5_Paraphrase_Paws | 2023-06-12T06:31:04.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"t5",
"text2text-generation",
"paraphrase-generation",
"text-generation",
"Conditional Generation",
"en",
"autotrain_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Vamsi | null | null | Vamsi/T5_Paraphrase_Paws | 23 | 44,153 | transformers | 2022-03-02T23:29:05 | ---
language: "en"
tags:
- paraphrase-generation
- text-generation
- Conditional Generation
inference: false
---
# Paraphrase-Generation
## Model description
T5 Model for generating paraphrases of english sentences. Trained on the [Google PAWS](https://github.com/google-research-datasets/paws) dataset.
## How to... | 1,455 | [
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-0.0419921875,
-0.04498291015625,
-0.032623291015625,
0.02429199... |
openmmlab/upernet-convnext-small | 2023-01-19T10:45:20.000Z | [
"transformers",
"pytorch",
"upernet",
"vision",
"image-segmentation",
"en",
"arxiv:1807.10221",
"arxiv:2201.03545",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | image-segmentation | openmmlab | null | null | openmmlab/upernet-convnext-small | 18 | 44,141 | transformers | 2023-01-13T14:24:39 | ---
language: en
license: mit
tags:
- vision
- image-segmentation
model_name: openmmlab/upernet-convnext-small
---
# UperNet, ConvNeXt small-sized backbone
UperNet framework for semantic segmentation, leveraging a ConvNeXt backbone. UperNet was introduced in the paper [Unified Perceptual Parsing for Scene Understandi... | 1,556 | [
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0.01605224609375,
-0.044647216796875,
0.0279083251953125,
0.0545654296875,
-0.0638427734375,
-0.037994384765625,
-0.02490234375,
-0.0148391723... |
digiplay/AbsoluteReality_v1.8.1 | 2023-08-03T18:05:25.000Z | [
"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/AbsoluteReality_v1.8.1 | 5 | 43,801 | diffusers | 2023-08-03T16:58:32 | ---
license: other
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
Model info :
https://civitai.com/models/81458?modelVersionId=132760
Original Author's DEMO images :
![](https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/0375afda-d837-4cf9-a0f1-958810ab300d/width=... | 1,077 | [
[
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-0.035247802734375,
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0.00... |
Helsinki-NLP/opus-mt-da-en | 2023-08-16T11:27:21.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"da",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-da-en | 3 | 43,696 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-da-en
* source languages: da
* target languages: en
* OPUS readme: [da-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 818 | [
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0.0... |
alx-ai/noggles-v21-6400-best | 2022-12-11T22:16:31.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | alx-ai | null | null | alx-ai/noggles-v21-6400-best | 1 | 43,584 | diffusers | 2022-12-11T22:02:07 | ---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### noggles_v21_6400_BEST Dreambooth model trained by alxdfy with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
Test the concept via A111... | 804 | [
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Xwin-LM/Xwin-LM-7B-V0.1 | 2023-09-21T05:42:01.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Xwin-LM | null | null | Xwin-LM/Xwin-LM-7B-V0.1 | 75 | 43,494 | transformers | 2023-09-15T14:03:07 | ---
license: llama2
---
<h3 align="center">
Xwin-LM: Powerful, Stable, and Reproducible LLM Alignment
</h3>
<p align="center">
<a href="https://github.com/Xwin-LM/Xwin-LM"><img src="https://img.shields.io/badge/GitHub-yellow.svg?style=social&logo=github"></a><a href="https://huggingface.co/Xwin-LM"><img src="https:... | 9,807 | [
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timm/convmixer_768_32.in1k | 2023-04-24T03:13:30.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2201.09792",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/convmixer_768_32.in1k | 2 | 43,449 | timm | 2023-04-24T03:13:13 | ---
tags:
- image-classification
- timm
library_name: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for convmixer_768_32.in1k
A ConvMixer image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- ... | 2,729 | [
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timm/ghostnet_100.in1k | 2023-08-20T06:13:05.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1911.11907",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/ghostnet_100.in1k | 0 | 43,274 | timm | 2023-08-19T23:28:44 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for ghostnet_100.in1k
A GhostNet image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
... | 3,541 | [
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EleutherAI/gpt-neo-2.7B | 2023-07-09T15:52:52.000Z | [
"transformers",
"pytorch",
"jax",
"rust",
"safetensors",
"gpt_neo",
"text-generation",
"text generation",
"causal-lm",
"en",
"dataset:EleutherAI/pile",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | EleutherAI | null | null | EleutherAI/gpt-neo-2.7B | 365 | 43,224 | transformers | 2022-03-02T23:29:04 | ---
language:
- en
tags:
- text generation
- pytorch
- causal-lm
license: mit
datasets:
- EleutherAI/pile
---
# GPT-Neo 2.7B
## Model Description
GPT-Neo 2.7B is a transformer model designed using EleutherAI's replication of the GPT-3 architecture. GPT-Neo refers to the class of models, while 2.7B represents the num... | 5,008 | [
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microsoft/wavlm-base-plus | 2021-12-22T17:23:24.000Z | [
"transformers",
"pytorch",
"wavlm",
"feature-extraction",
"speech",
"en",
"arxiv:1912.07875",
"arxiv:2106.06909",
"arxiv:2101.00390",
"arxiv:2110.13900",
"has_space",
"region:us"
] | feature-extraction | microsoft | null | null | microsoft/wavlm-base-plus | 7 | 43,218 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
datasets:
tags:
- speech
inference: false
---
# WavLM-Base-Plus
[Microsoft's WavLM](https://github.com/microsoft/unilm/tree/master/wavlm)
The base model pretrained on 16kHz sampled speech audio. When using the model, make sure that your speech input is also sampled at 16kHz.
**Note**: This model... | 3,904 | [
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microsoft/unixcoder-base | 2022-11-09T04:01:00.000Z | [
"transformers",
"pytorch",
"roberta",
"feature-extraction",
"en",
"arxiv:2203.03850",
"arxiv:1910.09700",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | microsoft | null | null | microsoft/unixcoder-base | 25 | 43,209 | transformers | 2022-03-23T05:47:38 | ---
language:
- en
license: apache-2.0
---
# Model Card for UniXcoder-base
# Model Details
## Model Description
UniXcoder is a unified cross-modal pre-trained model that leverages multimodal data (i.e. code comment and AST) to pretrain code representation.
- **Developed by:** Microsoft Team
- **Shared by [O... | 4,493 | [
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rinna/japanese-roberta-base | 2023-03-22T04:11:46.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"roberta",
"fill-mask",
"ja",
"japanese",
"masked-lm",
"nlp",
"dataset:cc100",
"dataset:wikipedia",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | rinna | null | null | rinna/japanese-roberta-base | 28 | 42,874 | transformers | 2022-03-02T23:29:05 | ---
language: ja
thumbnail: https://github.com/rinnakk/japanese-gpt2/blob/master/rinna.png
tags:
- ja
- japanese
- roberta
- masked-lm
- nlp
license: mit
datasets:
- cc100
- wikipedia
mask_token: "[MASK]"
widget:
- text: "[CLS]4年に1度[MASK]は開かれる。"
---
# japanese-roberta-base
This repository ... | 4,475 | [
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beomi/KcELECTRA-base | 2023-04-03T14:53:16.000Z | [
"transformers",
"pytorch",
"electra",
"pretraining",
"korean",
"ko",
"en",
"doi:10.57967/hf/0017",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | null | beomi | null | null | beomi/KcELECTRA-base | 14 | 42,853 | transformers | 2022-03-02T23:29:05 | ---
language:
- ko
- en
tags:
- electra
- korean
license: "mit"
---
# KcELECTRA: Korean comments ELECTRA
** Updates on 2022.10.08 **
- KcELECTRA-base-v2022 (구 v2022-dev) 모델 이름이 변경되었습니다. --> KcELECTRA-base 레포의 `v2022`로 통합되었습니다.
- 위 모델의 세부 스코어를 추가하였습니다.
- 기존 KcELECTRA-base(v2021) 대비 대부분의 downstream task에서 ~1%p 수... | 9,512 | [
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ku-nlp/deberta-v2-base-japanese | 2023-05-12T14:13:03.000Z | [
"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",
"has_space",
"region:us"
] | fill-mask | ku-nlp | null | null | ku-nlp/deberta-v2-base-japanese | 23 | 42,800 | transformers | 2023-01-05T08:04:14 | ---
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 descriptio... | 4,860 | [
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stablediffusionapi/juggernaut-xl-v5 | 2023-09-26T15:40:42.000Z | [
"diffusers",
"stablediffusionapi.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | stablediffusionapi | null | null | stablediffusionapi/juggernaut-xl-v5 | 6 | 42,590 | diffusers | 2023-09-26T15:38:29 | ---
license: creativeml-openrail-m
tags:
- stablediffusionapi.com
- stable-diffusion-api
- text-to-image
- ultra-realistic
pinned: true
---
# Juggernaut XL V5 API Inference
## Get ... | 2,491 | [
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timm/vit_small_patch16_224.dino | 2023-05-06T03:21:04.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2104.14294",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_small_patch16_224.dino | 0 | 42,340 | timm | 2022-12-22T07:54:20 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
---
# Model card for vit_small_patch16_224.dino
A Vision Transformer (ViT) image feature model. Trained with Self-Supervised DINO method.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- Pa... | 3,679 | [
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ostris/ikea-instructions-lora-sdxl | 2023-09-29T11:55:15.000Z | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"style",
"styles",
"instruction_manual",
"ikea",
"license:other",
"has_space",
"region:us"
] | text-to-image | ostris | null | null | ostris/ikea-instructions-lora-sdxl | 151 | 42,287 | diffusers | 2023-09-29T11:55:12 | ---
license: other
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- style
- styles
- instruction_manual
- ikea
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt:
widget:
- text: "where is waldo "
- text: "sleep"
- text: "hamburger,, lettuce, mayo, lettuce, no tomato "
- text: "barbie... | 1,674 | [
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0.000... |
EleutherAI/gpt-neox-20b | 2023-06-21T14:34:00.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"causal-lm",
"en",
"dataset:EleutherAI/pile",
"arxiv:2204.06745",
"arxiv:2101.00027",
"arxiv:2201.07311",
"arxiv:2104.09864",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",... | text-generation | EleutherAI | null | null | EleutherAI/gpt-neox-20b | 442 | 42,268 | transformers | 2022-04-07T20:28:29 | ---
language:
- en
tags:
- pytorch
- causal-lm
license: apache-2.0
datasets:
- EleutherAI/pile
---
GPT-NeoX-20B is a 20 billion parameter autoregressive language model trained
on [the Pile](https://pile.eleuther.ai/) using the [GPT-NeoX
library](https://github.com/EleutherAI/gpt-neox). Its architecture intentionally... | 8,275 | [
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cross-encoder/stsb-roberta-base | 2021-08-05T08:41:58.000Z | [
"transformers",
"pytorch",
"jax",
"roberta",
"text-classification",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | cross-encoder | null | null | cross-encoder/stsb-roberta-base | 2 | 41,512 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
---
# Cross-Encoder for Quora Duplicate Questions Detection
This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.net/examples/applications/cross-encoder/README.html) class.
## Training Data
This model was trained on the [STS benchmark dataset]... | 941 | [
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facebook/mbart-large-50-many-to-many-mmt | 2023-09-28T16:42:59.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"mbart",
"text2text-generation",
"mbart-50",
"translation",
"multilingual",
"ar",
"cs",
"de",
"en",
"es",
"et",
"fi",
"fr",
"gu",
"hi",
"it",
"ja",
"kk",
"ko",
"lt",
"lv",
"my",
"ne",
"nl",
"ro... | translation | facebook | null | null | facebook/mbart-large-50-many-to-many-mmt | 90 | 41,358 | transformers | 2022-03-02T23:29:05 | ---
language:
- multilingual
- ar
- cs
- de
- en
- es
- et
- fi
- fr
- gu
- hi
- it
- ja
- kk
- ko
- lt
- lv
- my
- ne
- nl
- ro
- ru
- si
- tr
- vi
- zh
- af
- az
- bn
- fa
- he
- hr
- id
- ka
- km
- mk
- ml
- mn
- mr
- pl
- ps
- pt
- sv
- sw
- ta
- te
- th
- tl
- uk
- ur
- xh
- gl
- sl
tags:
- mbart-50
pipeline_tag: ... | 3,684 | [
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sbcBI/sentiment_analysis_model | 2022-05-16T18:37:13.000Z | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"exbert",
"en",
"dataset:Confidential",
"arxiv:1810.04805",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | sbcBI | null | null | sbcBI/sentiment_analysis_model | 3 | 41,296 | transformers | 2022-05-04T05:33:05 | ---
language: en
tags:
- exbert
license: apache-2.0
datasets:
- Confidential
---
# BERT base model (uncased)
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1810.04805) and first released in
[this repository](https://github.... | 2,215 | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-glf | 2021-10-18T10:16:30.000Z | [
"transformers",
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | CAMeL-Lab | null | null | CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-glf | 1 | 41,135 | transformers | 2022-03-02T23:29:04 | ---
language:
- ar
license: apache-2.0
widget:
- text: 'شلونك ؟ شخبارك ؟'
---
# CAMeLBERT-Mix POS-GLF Model
## Model description
**CAMeLBERT-Mix POS-GLF Model** is a Gulf Arabic POS tagging model that was built by fine-tuning the [CAMeLBERT-Mix](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-mix/) model.... | 3,399 | [
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timpal0l/mdeberta-v3-base-squad2 | 2023-04-05T16:28:16.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta-v2",
"question-answering",
"deberta",
"deberta-v3",
"mdeberta",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
... | question-answering | timpal0l | null | null | timpal0l/mdeberta-v3-base-squad2 | 84 | 41,132 | transformers | 2022-11-30T11:34:54 | ---
datasets:
- squad_v2
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
- ku
- ky
- la
- lo
- lt
- lv
- mg
- mk
- ml... | 2,810 | [
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0.0044... |
tuner007/pegasus_paraphrase | 2021-03-22T21:11:33.000Z | [
"transformers",
"pytorch",
"pegasus",
"text2text-generation",
"paraphrasing",
"seq2seq",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | tuner007 | null | null | tuner007/pegasus_paraphrase | 154 | 41,106 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: apache-2.0
tags:
- pegasus
- paraphrasing
- seq2seq
---
## Model description
[PEGASUS](https://github.com/google-research/pegasus) fine-tuned for paraphrasing
## Model in Action 🚀
```
import torch
from transformers import PegasusForConditionalGeneration, PegasusTokenizer
model_name = 'tuner... | 2,129 | [
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0... |
prithivida/grammar_error_correcter_v1 | 2021-07-04T10:44:31.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | prithivida | null | null | prithivida/grammar_error_correcter_v1 | 30 | 41,003 | transformers | 2022-03-02T23:29:05 | **This model is part of the Gramformer library** please refer to https://github.com/PrithivirajDamodaran/Gramformer/
| 118 | [
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timm/mixer_b16_224.goog_in21k_ft_in1k | 2023-03-27T23:03:14.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-21k",
"arxiv:2105.01601",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/mixer_b16_224.goog_in21k_ft_in1k | 1 | 40,802 | timm | 2023-03-27T23:02:23 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-21k
---
# Model card for mixer_b16_224.goog_in21k_ft_in1k
A MLP-Mixer image classification model. Pretrained on ImageNet-21k and fine-tuned on ImageNet-1k by paper authors.
## Model Details
- **Model Type:... | 3,276 | [
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albert-base-v1 | 2023-04-06T13:42:57.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"exbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | null | null | null | albert-base-v1 | 3 | 40,725 | transformers | 2022-03-02T23:29:04 | ---
tags:
- exbert
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
---
# ALBERT Base v1
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1909.11942) and first released in
[this repository](https://github... | 9,881 | [
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DeepPavlov/rubert-base-cased-sentence | 2021-05-18T18:18:43.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"feature-extraction",
"ru",
"arxiv:1508.05326",
"arxiv:1809.05053",
"arxiv:1908.10084",
"endpoints_compatible",
"has_space",
"region:us"
] | feature-extraction | DeepPavlov | null | null | DeepPavlov/rubert-base-cased-sentence | 14 | 40,665 | transformers | 2022-03-02T23:29:04 | ---
language:
- ru
---
# rubert-base-cased-sentence
Sentence RuBERT \(Russian, cased, 12-layer, 768-hidden, 12-heads, 180M parameters\) is a representation‑based sentence encoder for Russian. It is initialized with RuBERT and fine‑tuned on SNLI\[1\] google-translated to russian and on russian part of XNLI dev set\[2\... | 970 | [
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timm/resmlp_12_224.fb_in1k | 2023-03-27T23:12:17.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2105.03404",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/resmlp_12_224.fb_in1k | 0 | 40,637 | timm | 2023-03-27T23:12:04 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for resmlp_12_224.fb_in1k
A ResMLP image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
... | 3,178 | [
[
-0.031005859375,
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megagonlabs/transformers-ud-japanese-electra-base-ginza-510 | 2021-12-05T12:12:12.000Z | [
"transformers",
"pytorch",
"electra",
"feature-extraction",
"PyTorch",
"Transformers",
"spaCy",
"ELECTRA",
"GiNZA",
"mC4",
"UD_Japanese-BCCWJ",
"GSK2014-A",
"ja",
"MIT",
"dataset:mC4",
"dataset:UD_Japanese_BCCWJ r2.8",
"dataset:GSK2014-A(2019)",
"arxiv:1910.10683",
"license:mit",... | feature-extraction | megagonlabs | null | null | megagonlabs/transformers-ud-japanese-electra-base-ginza-510 | 2 | 40,512 | transformers | 2022-03-02T23:29:05 | ---
language:
- ja
thumbnail: "https://raw.githubusercontent.com/megagonlabs/ginza/static/docs/images/GiNZA_logo_4c_s.png"
tags:
- PyTorch
- Transformers
- spaCy
- ELECTRA
- GiNZA
- mC4
- UD_Japanese-BCCWJ
- GSK2014-A
- ja
- MIT
license: "mit"
datasets:
- mC4
- UD_Japanese_BCCWJ r2.8
- GSK2014-A(2019)
metrics:
- UAS... | 2,618 | [
[
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flair/ner-dutch-large | 2021-05-08T15:36:03.000Z | [
"flair",
"pytorch",
"token-classification",
"sequence-tagger-model",
"nl",
"dataset:conll2003",
"arxiv:2011.06993",
"region:us",
"has_space"
] | token-classification | flair | null | null | flair/ner-dutch-large | 4 | 40,407 | flair | 2022-03-02T23:29:05 | ---
tags:
- flair
- token-classification
- sequence-tagger-model
language: nl
datasets:
- conll2003
widget:
- text: "George Washington ging naar Washington"
---
## Dutch NER in Flair (large model)
This is the large 4-class NER model for Dutch that ships with [Flair](https://github.com/flairNLP/flair/).
F1-Score: **9... | 3,638 | [
[
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0.025955... |
dbmdz/bert-medium-historic-multilingual-cased | 2023-09-06T22:19:02.000Z | [
"transformers",
"pytorch",
"tf",
"tensorboard",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"arxiv:1908.08962",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | dbmdz | null | null | dbmdz/bert-medium-historic-multilingual-cased | 0 | 40,329 | transformers | 2022-03-02T23:29:05 | ---
language: multilingual
license: mit
widget:
- text: "and I cannot conceive the reafon why [MASK] hath"
- text: "Täkäläinen sanomalehdistö [MASK] erit - täin"
- text: "Det vore [MASK] häller nödvändigt att be"
- text: "Comme, à cette époque [MASK] était celle de la"
- text: "In [MASK] an atmosphärischen Nahrungsmitt... | 12,753 | [
[
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timm/regnety_002.pycls_in1k | 2023-03-21T06:36:53.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2003.13678",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/regnety_002.pycls_in1k | 0 | 40,226 | timm | 2023-03-21T06:36:49 | ---
tags:
- image-classification
- timm
library_tag: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for regnety_002.pycls_in1k
A RegNetY-200MF image classification model. Pretrained on ImageNet-1k by paper authors.
The `timm` RegNet implementation includes a number of enhancements not present in other imp... | 15,490 | [
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BAAI/bge-reranker-large | 2023-10-12T03:39:26.000Z | [
"transformers",
"pytorch",
"safetensors",
"xlm-roberta",
"text-classification",
"zh",
"en",
"arxiv:2310.07554",
"arxiv:2309.07597",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | BAAI | null | null | BAAI/bge-reranker-large | 33 | 40,171 | transformers | 2023-09-12T07:39:18 | ---
license: mit
language:
- zh
- en
---
<h1 align="center">FlagEmbedding</h1>
<h4 align="center">
<p>
<a href=#model-list>Model List</a> |
<a href=#frequently-asked-questions>FAQ</a> |
<a href=#usage>Usage</a> |
<a href="#evaluation">Evaluation</a> |
<a href="#train">T... | 27,170 | [
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MingZhong/unieval-dialog | 2022-10-14T01:09:17.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"arxiv:2210.07197",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | MingZhong | null | null | MingZhong/unieval-dialog | 1 | 40,031 | transformers | 2022-10-11T01:08:51 | Pre-trained evaluator in EMNLP 2022 paper
*[Towards a Unified Multi-Dimensional Evaluator for Text Generation](https://arxiv.org/abs/2210.07197)*
## Introduction
**Multi-dimensional evaluation** is the dominant paradigm for human evaluation in Natural Language Generation (NLG), i.e., evaluating the generated text fr... | 1,084 | [
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timm/inception_v3.tv_in1k | 2023-04-25T21:29:59.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1512.00567",
"license:apache-2.0",
"has_space",
"region:us"
] | image-classification | timm | null | null | timm/inception_v3.tv_in1k | 1 | 39,898 | timm | 2023-04-25T21:29:39 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for inception_v3.tv_in1k
A Inception-v3 image classification model. Trained on ImageNet-1k, torchvision weights.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model ... | 4,059 | [
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huggingface/CodeBERTa-language-id | 2022-09-09T16:42:28.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"rust",
"roberta",
"text-classification",
"code",
"dataset:code_search_net",
"arxiv:1909.09436",
"endpoints_compatible",
"region:us"
] | text-classification | huggingface | null | null | huggingface/CodeBERTa-language-id | 26 | 39,876 | transformers | 2022-03-02T23:29:05 | ---
language: code
thumbnail: https://cdn-media.huggingface.co/CodeBERTa/CodeBERTa.png
datasets:
- code_search_net
---
# CodeBERTa-language-id: The World’s fanciest programming language identification algo 🤯
To demonstrate the usefulness of our CodeBERTa pretrained model on downstream tasks beyond language modeling... | 8,962 | [
[
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MIT/ast-finetuned-audioset-10-10-0.4593 | 2023-09-06T14:49:15.000Z | [
"transformers",
"pytorch",
"safetensors",
"audio-spectrogram-transformer",
"audio-classification",
"arxiv:2104.01778",
"license:bsd-3-clause",
"endpoints_compatible",
"has_space",
"region:us"
] | audio-classification | MIT | null | null | MIT/ast-finetuned-audioset-10-10-0.4593 | 70 | 39,848 | transformers | 2022-11-14T18:41:48 | ---
license: bsd-3-clause
tags:
- audio-classification
---
# Audio Spectrogram Transformer (fine-tuned on AudioSet)
Audio Spectrogram Transformer (AST) model fine-tuned on AudioSet. It was introduced in the paper [AST: Audio Spectrogram Transformer](https://arxiv.org/abs/2104.01778) by Gong et al. and first released... | 1,165 | [
[
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roneneldan/TinyStories-33M | 2023-08-08T22:32:26.000Z | [
"transformers",
"pytorch",
"gpt_neo",
"text-generation",
"dataset:roneneldan/TinyStories",
"arxiv:2305.07759",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | roneneldan | null | null | roneneldan/TinyStories-33M | 63 | 39,694 | transformers | 2023-05-12T19:16:05 | ---
datasets:
- roneneldan/TinyStories
---
Model trained on the TinyStories Dataset, see https://arxiv.org/abs/2305.07759
Based on GPT-Neo architecture.
License: mit
---
hyperparams used to train this model:
lr = 5e-4,
lr_schedule = constant,
wd=0.1,
adam_beta1=0.9, adam_beta2 = 0.95,
context_length=512,
batch_siz... | 936 | [
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intfloat/multilingual-e5-base | 2023-09-08T08:05:30.000Z | [
"sentence-transformers",
"pytorch",
"onnx",
"safetensors",
"xlm-roberta",
"mteb",
"Sentence Transformers",
"sentence-similarity",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
... | sentence-similarity | intfloat | null | null | intfloat/multilingual-e5-base | 113 | 39,565 | sentence-transformers | 2023-05-19T10:26:40 | ---
tags:
- mteb
- Sentence Transformers
- sentence-similarity
- sentence-transformers
model-index:
- name: multilingual-e5-base
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test... | 178,527 | [
[
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... |
Rostlab/prot_bert_bfd | 2020-12-11T21:30:10.000Z | [
"transformers",
"pytorch",
"tf",
"fill-mask",
"protein language model",
"protein",
"dataset:BFD",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | Rostlab | null | null | Rostlab/prot_bert_bfd | 9 | 39,462 | transformers | 2022-03-02T23:29:04 | ---
language: protein
tags:
- protein language model
datasets:
- BFD
---
# ProtBert-BFD model
Pretrained model on protein sequences using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://doi.org/10.1101/2020.07.12.199554) and first released in
[this repository](https://github.com/... | 7,922 | [
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kresnik/wav2vec2-large-xlsr-korean | 2023-07-03T14:55:40.000Z | [
"transformers",
"pytorch",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"speech",
"audio",
"ko",
"dataset:kresnik/zeroth_korean",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | automatic-speech-recognition | kresnik | null | null | kresnik/wav2vec2-large-xlsr-korean | 25 | 39,408 | transformers | 2022-03-02T23:29:05 | ---
language: ko
datasets:
- kresnik/zeroth_korean
tags:
- speech
- audio
- automatic-speech-recognition
license: apache-2.0
model-index:
- name: 'Wav2Vec2 XLSR Korean'
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Zeroth Kore... | 1,891 | [
[
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-0.06109619140625,
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facebook/sam-vit-huge | 2023-07-11T15:07:59.000Z | [
"transformers",
"pytorch",
"tf",
"sam",
"mask-generation",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null | facebook | null | null | facebook/sam-vit-huge | 49 | 39,352 | transformers | 2023-04-10T13:51:24 | ---
license: apache-2.0
---
# Model Card for Segment Anything Model (SAM) - ViT Huge (ViT-H) version
<p>
<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/model_doc/sam-architecture.png" alt="Model architecture">
<em> Detailed architecture of Segment Anything Model... | 6,871 | [
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jonatasgrosman/wav2vec2-large-xlsr-53-japanese | 2022-12-14T01:58:09.000Z | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"speech",
"xlsr-fine-tuning-week",
"ja",
"dataset:common_voice",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | automatic-speech-recognition | jonatasgrosman | null | null | jonatasgrosman/wav2vec2-large-xlsr-53-japanese | 15 | 39,258 | transformers | 2022-03-02T23:29:05 | ---
language: ja
datasets:
- common_voice
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Japanese by Jonatas Grosman
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
... | 7,360 | [
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timm/hrnet_w18.ms_aug_in1k | 2023-04-24T21:25:48.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1908.07919",
"license:mit",
"region:us"
] | image-classification | timm | null | null | timm/hrnet_w18.ms_aug_in1k | 1 | 39,005 | timm | 2023-04-24T21:25:16 | ---
tags:
- image-classification
- timm
library_name: timm
license: mit
datasets:
- imagenet-1k
---
# Model card for hrnet_w18.ms_aug_in1k
A HRNet image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- Para... | 3,771 | [
[
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... |
lmsys/vicuna-13b-v1.3 | 2023-08-01T18:26:48.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2302.13971",
"arxiv:2306.05685",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | lmsys | null | null | lmsys/vicuna-13b-v1.3 | 161 | 38,996 | transformers | 2023-06-18T03:38:59 | ---
inference: false
---
**NOTE: New version available**
Please check out a newer version of the weights [here](https://github.com/lm-sys/FastChat/blob/main/docs/vicuna_weights_version.md).
<br>
# Vicuna Model Card
## Model Details
Vicuna is a chat assistant trained by fine-tuning LLaMA on user-shared conversati... | 1,977 | [
[
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-0.06414794921875,
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-0.01666259765625,
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0.02685546875,
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-0.03717041015625,
-0.04931640625,
-0.0024223... |
timm/beit_base_patch16_224.in22k_ft_in22k_in1k | 2023-05-08T23:19:17.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"dataset:imagenet-22k",
"arxiv:2106.08254",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/beit_base_patch16_224.in22k_ft_in22k_in1k | 0 | 38,949 | timm | 2022-12-23T02:25:09 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
- imagenet-22k
---
# Model card for beit_base_patch16_224.in22k_ft_in22k_in1k
A BEiT image classification model. Trained on ImageNet-22k with self-supervised masked image modelling (MIM) using a DALL-E dVAE as visual... | 3,734 | [
[
-0.042694091796875,
-0.0261077880859375,
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0.016571044921875,
0.027313232421875,
-0.043212890625,
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-0.056610107421875,... |
timm/cspdarknet53.ra_in1k | 2023-04-12T20:39:34.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2110.00476",
"arxiv:1911.11929",
"arxiv:1804.02767",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/cspdarknet53.ra_in1k | 0 | 38,858 | timm | 2023-04-12T20:39:07 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
---
# Model card for cspdarknet53.ra_in1k
A CSP-DarkNet (Cross-Stage-Partial) image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* RandAugment `RA` recipe. Inspired by and ev... | 5,042 | [
[
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timm/inception_v3.tf_adv_in1k | 2023-05-10T01:04:13.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1512.00567",
"arxiv:1804.00097",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/inception_v3.tf_adv_in1k | 1 | 38,691 | timm | 2023-04-25T21:28:52 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for inception_v3.tf_adv_in1k
A Inception-v3 image classification model. Adversarially trained on ImageNet-1k by paper authors. Ported from Tensorflow by Ross Wightman.
## Model Details
- **Model Typ... | 4,779 | [
[
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0.02081298828125,
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-0.053253173828125,... |
tiiuae/falcon-rw-1b | 2023-07-12T21:34:11.000Z | [
"transformers",
"pytorch",
"falcon",
"text-generation",
"custom_code",
"en",
"dataset:tiiuae/falcon-refinedweb",
"arxiv:2306.01116",
"arxiv:2005.14165",
"arxiv:2108.12409",
"arxiv:2205.14135",
"license:apache-2.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | tiiuae | null | null | tiiuae/falcon-rw-1b | 64 | 38,669 | transformers | 2023-04-26T09:25:36 | ---
datasets:
- tiiuae/falcon-refinedweb
language:
- en
inference: false
license: apache-2.0
---
# Falcon-RW-1B
**Falcon-RW-1B is a 1B parameters causal decoder-only model built by [TII](https://www.tii.ae) and trained on 350B tokens of [RefinedWeb](https://huggingface.co/datasets/tiiuae/falcon-refinedweb). It is mad... | 7,579 | [
[
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... |
codellama/CodeLlama-34b-hf | 2023-10-27T18:08:08.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"llama-2",
"code",
"arxiv:2308.12950",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | codellama | null | null | codellama/CodeLlama-34b-hf | 127 | 38,655 | transformers | 2023-08-24T16:34:39 | ---
language:
- code
pipeline_tag: text-generation
tags:
- llama-2
license: llama2
---
# **Code Llama**
Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 34 billion parameters. This is the repository for the base 34B version in the Hugging Face Transformer... | 6,772 | [
[
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0.... |
timm/dm_nfnet_f0.dm_in1k | 2023-03-24T00:47:41.000Z | [
"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_f0.dm_in1k | 1 | 38,645 | timm | 2023-03-24T00:46:50 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for dm_nfnet_f0.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... | 4,742 | [
[
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-0.037353515625,
-0.0033664703369140625,
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0.0... |
timm/nfnet_l0.ra2_in1k | 2023-03-24T01:15:53.000Z | [
"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/nfnet_l0.ra2_in1k | 1 | 38,619 | timm | 2023-03-24T01:15:14 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for nfnet_l0.ra2_in1k
A NFNet-Lite (Lightweight NFNet) image classification model. Trained in `timm` by Ross Wightman.
Normalization Free Networks are (pre-activation) ResNet-like models without any ... | 4,941 | [
[
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-0.035430908203125,
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0... |
hustvl/yolos-small | 2022-06-27T08:37:45.000Z | [
"transformers",
"pytorch",
"yolos",
"object-detection",
"vision",
"dataset:coco",
"arxiv:2106.00666",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | object-detection | hustvl | null | null | hustvl/yolos-small | 38 | 38,616 | transformers | 2022-04-26T09:38:22 | ---
license: apache-2.0
tags:
- object-detection
- vision
datasets:
- coco
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/savanna.jpg
example_title: Savanna
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/football-match.jpg
example_title: Football Match
- s... | 4,173 | [
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0.03466796875,
-0.040863037109375,
-0.0288543701171875,
-0.040557861328125,... |
sentence-transformers/msmarco-bert-base-dot-v5 | 2023-11-02T09:31:35.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"en",
"arxiv:1908.10084",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/msmarco-bert-base-dot-v5 | 11 | 38,462 | sentence-transformers | 2022-03-02T23:29:05 | ---
language:
- en
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# msmarco-bert-base-dot-v5
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and was desi... | 6,156 | [
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0... |
baichuan-inc/Baichuan2-13B-Chat | 2023-10-19T03:19:30.000Z | [
"transformers",
"pytorch",
"baichuan",
"text-generation",
"custom_code",
"en",
"zh",
"license:other",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | baichuan-inc | null | null | baichuan-inc/Baichuan2-13B-Chat | 295 | 38,110 | transformers | 2023-08-29T02:30:01 | ---
language:
- en
- zh
license: other
tasks:
- text-generation
---
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<div align="center">
<h1>
Baichuan 2
</h1>
</div>
<div align="center">
<a href="https://github.com/baichuan-inc/Baichuan2" target="_blank">🦉GitHub</a> | <a href="... | 13,199 | [
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-0.047393798828125,
... |
facebook/wmt19-en-de | 2023-09-15T13:03:30.000Z | [
"transformers",
"pytorch",
"fsmt",
"text2text-generation",
"translation",
"wmt19",
"facebook",
"en",
"de",
"dataset:wmt19",
"arxiv:1907.06616",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | facebook | null | null | facebook/wmt19-en-de | 18 | 38,098 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
- de
tags:
- translation
- wmt19
- facebook
license: apache-2.0
datasets:
- wmt19
metrics:
- bleu
thumbnail: https://huggingface.co/front/thumbnails/facebook.png
---
# FSMT
## Model description
This is a ported version of [fairseq wmt19 transformer](https://github.com/pytorch/fairseq/blob/master/... | 3,431 | [
[
-0.02838134765625,
-0.044586181640625,
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-0.06451416015625,
-0.0237579345703125,
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... |
Helsinki-NLP/opus-mt-en-it | 2023-08-16T11:30:05.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"en",
"it",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-en-it | 8 | 38,089 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-it
* source languages: en
* target languages: it
* OPUS readme: [en-it](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-it/README.md)
* dataset: opus
* model: transformer
* pre-processing: normalization + SentencePiece
* download or... | 895 | [
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... |
timm/mnasnet_100.rmsp_in1k | 2023-04-27T21:14:03.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1807.11626",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/mnasnet_100.rmsp_in1k | 0 | 38,080 | timm | 2022-12-13T00:00:04 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for mnasnet_100.rmsp_in1k
A MNasNet image classification model. Trained on ImageNet-1k in `timm` using recipe template described below.
Recipe details:
* A simple RmsProp based recipe without RandA... | 4,367 | [
[
-0.036407470703125,
-0.02972412109375,
-0.0017757415771484375,
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-0.0093231201171875,
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0.035614013671875,
-0.0391845703125,
-0.054443359375,
-0.0517578125,
-0.0122... |
Yntec/nuipenimix2 | 2023-09-28T17:39:27.000Z | [
"diffusers",
"Anime",
"Cute",
"Animals",
"McSionnaigh",
"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/nuipenimix2 | 3 | 38,025 | diffusers | 2023-09-28T16:58:20 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Cute
- Animals
- McSionnaigh
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# nuipenimix 2
fp16 no-ema version of this model. Original page: https://civitai.com/models/81937?modelVer... | 661 | [
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0.027862548... |
timm/mixnet_l.ft_in1k | 2023-04-27T21:13:39.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1907.09595",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/mixnet_l.ft_in1k | 0 | 38,009 | timm | 2022-12-12T23:59:31 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for mixnet_l.ft_in1k
A MixNet image classification model. Fine-tuned on ImageNet-1k from original Tensorflow "SAME" padding weights for use in PyTorch.
## Model Details
- **Model Type:** Image clas... | 3,920 | [
[
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-0.0535888671875,
-0.01... |
moussaKam/frugalscore_tiny_bert-base_bert-score | 2022-02-01T10:50:21.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"arxiv:2110.08559",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | moussaKam | null | null | moussaKam/frugalscore_tiny_bert-base_bert-score | 0 | 37,932 | transformers | 2022-03-02T23:29:05 | # FrugalScore
FrugalScore is an approach to learn a fixed, low cost version of any expensive NLG metric, while retaining most of its original performance
Paper: https://arxiv.org/abs/2110.08559?context=cs
Project github: https://github.com/moussaKam/FrugalScore
The pretrained checkpoints presented in the paper :
| ... | 2,592 | [
[
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philschmid/distilbert-onnx | 2022-02-16T14:51:05.000Z | [
"transformers",
"onnx",
"distilbert",
"question-answering",
"en",
"dataset:squad",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | philschmid | null | null | philschmid/distilbert-onnx | 2 | 37,821 | transformers | 2022-03-02T23:29:05 | ---
language: "en"
datasets:
- squad
metrics:
- squad
license: apache-2.0
---
# ONNX Conversion of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad)
# DistilBERT base cased distilled SQuAD
This model is a fine-tune checkpoint of [DistilBERT-base-cased](https://hugg... | 557 | [
[
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-0.039093017578125,
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0.018341064453125,
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0.01055145263671875,
0.03009033203125,
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-0.038604736328125,
-0.03466796875,
0.00... |
philschmid/flan-t5-xxl-sharded-fp16 | 2023-03-08T15:30:42.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"endpoints-template",
"arxiv:2210.11416",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | philschmid | null | null | philschmid/flan-t5-xxl-sharded-fp16 | 47 | 37,658 | transformers | 2023-01-27T15:05:31 | ---
license: apache-2.0
tags:
- endpoints-template
---
# FORK of FLAN-T5 XXL
> This is a fork of google/flan-t5-xxl implementing a custom `handler.py` as an example for how to use t5-11b with inference-endpoints on a single NVIDIA A10G.
You can deploy the flan-t5-xxl with a [1-click](https://ui.endpoints.huggingfa... | 2,524 | [
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0.0229339599609375,
-0.04986572265625,
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-0.03564453125,
-0.... |
deepset/sentence_bert | 2021-05-19T15:34:03.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | deepset | null | null | deepset/sentence_bert | 19 | 37,466 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
---
This is an upload of the bert-base-nli-stsb-mean-tokens pretrained model from the Sentence Transformers Repo (https://github.com/UKPLab/sentence-transformers)
| 188 | [
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timm/tinynet_a.in1k | 2023-04-27T21:50:19.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2010.14819",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/tinynet_a.in1k | 0 | 37,356 | timm | 2022-12-13T00:21:58 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for tinynet_a.in1k
A TinyNet image classification model. Trained on ImageNet-1k by paper authors.
## Model Details
- **Model Type:** Image classification / feature backbone
- **Model Stats:**
- P... | 3,930 | [
[
-0.03326416015625,
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timm/botnet26t_256.c1_in1k | 2023-04-26T16:09:11.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2110.00476",
"arxiv:2101.11605",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/botnet26t_256.c1_in1k | 0 | 37,334 | timm | 2023-04-26T16:08:51 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
datasets:
- imagenet-1k
---
# Model card for botnet26t_256.c1_in1k
A BotNet image classification model (, based on ResNet architecture). Trained on ImageNet-1k in `timm` by Ross Wightman.
NOTE: this model did not adhere to any specific pap... | 5,328 | [
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-0.050750732421875,
... |
hassanblend/HassanBlend1.5.1.2 | 2023-07-01T22:25:00.000Z | [
"diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | hassanblend | null | null | hassanblend/HassanBlend1.5.1.2 | 211 | 37,320 | diffusers | 2023-01-05T23:57:46 | ---
title: Hassanblend1.5.1.2
emoji: 📚
colorFrom: green
colorTo: indigo
sdk: gradio
sdk_version: 3.11.0
app_file: app.py
pinned: false
thumbnail: https://i.imgur.com/PVThZvk.png
license: creativeml-openrail-m
tags:
- text-to-image
inference: true
---
# HassanBlend1.5
I am hassan, I created HassansBlend, the latest ... | 2,190 | [
[
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0.0007576... |
BM-K/KoSimCSE-roberta | 2023-03-24T00:48:01.000Z | [
"transformers",
"pytorch",
"safetensors",
"roberta",
"feature-extraction",
"korean",
"ko",
"endpoints_compatible",
"region:us"
] | feature-extraction | BM-K | null | null | BM-K/KoSimCSE-roberta | 2 | 37,314 | transformers | 2022-04-05T13:59:27 | ---
language: ko
tags:
- korean
---
https://github.com/BM-K/Sentence-Embedding-is-all-you-need
# Korean-Sentence-Embedding
🍭 Korean sentence embedding repository. You can download the pre-trained models and inference right away, also it provides environments where individuals can train models.
## Quick tour
```py... | 2,583 | [
[
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0.0280609130859375,
-0.0499267578125,
-0.055389404296875,
-0.047454833984375,
0.0063... |
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