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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
JasperLS/deberta-v3-base-injection | 2023-09-11T12:55:23.000Z | [
"transformers",
"pytorch",
"tensorboard",
"deberta-v2",
"text-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | JasperLS | null | null | JasperLS/deberta-v3-base-injection | 1 | 14,743 | transformers | 2023-05-08T14:17:20 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: microsoft/deberta-v3-base
model-index:
- name: deberta-v3-base-injection
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and comp... | 1,584 | [
[
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0.0230712890625,
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-0.053375244140625,
-0.054443359375,
-0.016... |
Phind/Phind-CodeLlama-34B-Python-v1 | 2023-08-26T03:05:48.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"code llama",
"license:llama2",
"model-index",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Phind | null | null | Phind/Phind-CodeLlama-34B-Python-v1 | 237 | 14,741 | transformers | 2023-08-25T20:33:09 | ---
license: llama2
model-index:
- name: Phind-CodeLlama-34B-v1
results:
- task:
type: text-generation
dataset:
type: openai_humaneval
name: HumanEval
metrics:
- name: pass@1
type: pass@1
value: 69.5%
verified: false
tags:
- code llama
---
# **Phind-CodeLlama-34B-Pyt... | 3,722 | [
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-0.034210205078125,
-0.05291748046875,
-0.0227966308593... |
timm/resnet34.a1_in1k | 2023-04-05T18:05:47.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2110.00476",
"arxiv:1512.03385",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/resnet34.a1_in1k | 0 | 14,699 | timm | 2023-04-05T18:05:32 | ---
tags:
- image-classification
- timm
library_tag: timm
license: apache-2.0
---
# Model card for resnet34.a1_in1k
A ResNet-B image classification model.
This model features:
* ReLU activations
* single layer 7x7 convolution with pooling
* 1x1 convolution shortcut downsample
Trained on ImageNet-1k in `timm` usin... | 38,401 | [
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facebook/mask2former-swin-tiny-coco-instance | 2023-09-11T20:46:03.000Z | [
"transformers",
"pytorch",
"safetensors",
"mask2former",
"vision",
"image-segmentation",
"dataset:coco",
"arxiv:2112.01527",
"arxiv:2107.06278",
"license:other",
"endpoints_compatible",
"has_space",
"region:us"
] | image-segmentation | facebook | null | null | facebook/mask2former-swin-tiny-coco-instance | 4 | 14,689 | transformers | 2022-12-23T11:15:51 | ---
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... | 3,190 | [
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Salesforce/codegen-350M-nl | 2022-10-03T16:18:48.000Z | [
"transformers",
"pytorch",
"codegen",
"text-generation",
"arxiv:2203.13474",
"license:bsd-3-clause",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | Salesforce | null | null | Salesforce/codegen-350M-nl | 5 | 14,684 | transformers | 2022-04-11T15:19:18 | ---
license: bsd-3-clause
---
# CodeGen (CodeGen-NL 350M)
## Model description
CodeGen is a family of autoregressive language models for **program synthesis** from the paper: [A Conversational Paradigm for Program Synthesis](https://arxiv.org/abs/2203.13474) by Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wa... | 2,828 | [
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dangvantuan/sentence-camembert-base | 2022-03-11T17:02:50.000Z | [
"transformers",
"pytorch",
"camembert",
"feature-extraction",
"Text",
"Sentence Similarity",
"Sentence-Embedding",
"camembert-base",
"sentence-similarity",
"fr",
"dataset:stsb_multi_mt",
"arxiv:1908.10084",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"re... | sentence-similarity | dangvantuan | null | null | dangvantuan/sentence-camembert-base | 8 | 14,675 | transformers | 2022-03-11T16:16:15 | ---
pipeline_tag: sentence-similarity
language: fr
datasets:
- stsb_multi_mt
tags:
- Text
- Sentence Similarity
- Sentence-Embedding
- camembert-base
license: apache-2.0
model-index:
- name: sentence-camembert-base by Van Tuan DANG
results:
- task:
name: Sentence-Embedding
type: Text Similarity
dat... | 4,240 | [
[
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0.... |
transfo-xl-wt103 | 2023-01-24T14:49:49.000Z | [
"transformers",
"pytorch",
"tf",
"transfo-xl",
"text-generation",
"en",
"dataset:wikitext-103",
"arxiv:1901.02860",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | null | null | null | transfo-xl-wt103 | 6 | 14,672 | transformers | 2022-03-02T23:29:04 | ---
datasets:
- wikitext-103
tags:
- text-generation
language: en
model-index:
- name: transfo-xl-wt103
results: []
task:
name: Text Generation
type: text-generation
---
# Transfo-xl-wt103
## Table of Contents
- [Model Details](#model-details)
- [Uses](#uses)
- [Risks, Limitations and Biases](#ris... | 5,443 | [
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-0.033935546875,
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0.025... |
pedramyazdipoor/persian_xlm_roberta_large | 2022-09-19T16:38:37.000Z | [
"transformers",
"pytorch",
"xlm-roberta",
"question-answering",
"arxiv:1911.02116",
"arxiv:2202.06219",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | pedramyazdipoor | null | null | pedramyazdipoor/persian_xlm_roberta_large | 2 | 14,660 | transformers | 2022-09-18T15:46:12 | ## Persian XLM-RoBERTA Large For Question Answering Task
XLM-RoBERTA is a multilingual language model pre-trained on 2.5TB of filtered CommonCrawl data containing 100 languages. It was introduced in the paper [Unsupervised Cross-lingual Representation Learning at Scale](https://arxiv.org/abs/1911.02116v2) by Conneau e... | 5,603 | [
[
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-0.038970947265625,
-0.035552978515625,
0.012... |
stevhliu/my_awesome_model | 2023-08-25T00:04:52.000Z | [
"transformers",
"pytorch",
"tf",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_keras_callback",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | stevhliu | null | null | stevhliu/my_awesome_model | 1 | 14,655 | transformers | 2022-09-28T18:41:57 | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: stevhliu/my_awesome_model
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# stevhliu... | 1,633 | [
[
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-0.0504150390625,
-0.056976318359375,
-0.018157... |
facebook/nllb-200-distilled-1.3B | 2023-02-11T20:19:10.000Z | [
"transformers",
"pytorch",
"m2m_100",
"text2text-generation",
"nllb",
"translation",
"ace",
"acm",
"acq",
"aeb",
"af",
"ajp",
"ak",
"als",
"am",
"apc",
"ar",
"ars",
"ary",
"arz",
"as",
"ast",
"awa",
"ayr",
"azb",
"azj",
"ba",
"bm",
"ban",
"be",
"bem",
"b... | translation | facebook | null | null | facebook/nllb-200-distilled-1.3B | 58 | 14,635 | transformers | 2022-07-08T10:57:38 | ---
language:
- ace
- acm
- acq
- aeb
- af
- ajp
- ak
- als
- am
- apc
- ar
- ars
- ary
- arz
- as
- ast
- awa
- ayr
- azb
- azj
- ba
- bm
- ban
- be
- bem
- bn
- bho
- bjn
- bo
- bs
- bug
- bg
- ca
- ceb
- cs
- cjk
- ckb
- crh
- cy
- da
- de
- dik
- dyu
- dz
- el
- en
- eo
- et
- eu
- ee
- fo
- fj
- fi
- fon
- fr
- fu... | 7,643 | [
[
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0.053985595703125,
-0.0391845703125,
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prajjwal1/bert-medium | 2021-10-27T18:30:16.000Z | [
"transformers",
"pytorch",
"BERT",
"MNLI",
"NLI",
"transformer",
"pre-training",
"en",
"arxiv:1908.08962",
"arxiv:2110.01518",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | prajjwal1 | null | null | prajjwal1/bert-medium | 2 | 14,585 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
license:
- mit
tags:
- BERT
- MNLI
- NLI
- transformer
- pre-training
---
The following model is a Pytorch pre-trained model obtained from converting Tensorflow checkpoint found in the [official Google BERT repository](https://github.com/google-research/bert).
This is one of the smaller ... | 2,558 | [
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... |
google/t5-efficient-tiny | 2023-01-24T16:51:36.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"deep-narrow",
"en",
"dataset:c4",
"arxiv:2109.10686",
"license:apache-2.0",
"autotrain_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | google | null | null | google/t5-efficient-tiny | 9 | 14,575 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-TINY (Deep-Narrow version)
T5-Efficient-TINY is a variation of [Google's original T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) following the [T5 model architecture](https:/... | 6,299 | [
[
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Undi95/Emerhyst-20B | 2023-09-27T00:59:36.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"not-for-all-audiences",
"nsfw",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | Undi95 | null | null | Undi95/Emerhyst-20B | 21 | 14,564 | transformers | 2023-09-27T00:01:53 | ---
license: cc-by-nc-4.0
tags:
- not-for-all-audiences
- nsfw
---
Merge of [Amethyst 13B](https://huggingface.co/Undi95/Amethyst-13B) and [Emerald 13B](https://huggingface.co/Undi95/Emerald-13B).
I... | 1,544 | [
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0.0231628... |
sazyou-roukaku/chilled_remix | 2023-06-09T23:08:31.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"ja",
"license:creativeml-openrail-m",
"region:us"
] | text-to-image | sazyou-roukaku | null | null | sazyou-roukaku/chilled_remix | 203 | 14,561 | diffusers | 2023-04-18T12:48:48 | ---
license: creativeml-openrail-m
language:
- ja
library_name: diffusers
pipeline_tag: text-to-image
tags:
- stable-diffusion
- text-to-image
---
**【告知】**
**chilled_remix及びreversemixは2023年5月21日にVersion変更を行い、v2へ移行いたしました。**
**伴いv1は削除致しました。なお既にDL済みの方は引き続き、v1をご利用いただくことは問題ございません。**
License:[CreativeML Open RAIL-M](... | 7,385 | [
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joeddav/xlm-roberta-large-xnli | 2023-03-22T18:23:34.000Z | [
"transformers",
"pytorch",
"tf",
"xlm-roberta",
"text-classification",
"tensorflow",
"zero-shot-classification",
"multilingual",
"en",
"fr",
"es",
"de",
"el",
"bg",
"ru",
"tr",
"ar",
"vi",
"th",
"zh",
"hi",
"sw",
"ur",
"dataset:multi_nli",
"dataset:xnli",
"arxiv:191... | zero-shot-classification | joeddav | null | null | joeddav/xlm-roberta-large-xnli | 161 | 14,534 | transformers | 2022-03-02T23:29:05 | ---
language:
- multilingual
- en
- fr
- es
- de
- el
- bg
- ru
- tr
- ar
- vi
- th
- zh
- hi
- sw
- ur
tags:
- text-classification
- pytorch
- tensorflow
datasets:
- multi_nli
- xnli
license: mit
pipeline_tag: zero-shot-classification
widget:
- text: "За кого вы голосуете в 2020 году?"
candidate_labels: "politique ... | 5,029 | [
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allenai/biomed_roberta_base | 2022-10-03T22:05:08.000Z | [
"transformers",
"pytorch",
"jax",
"roberta",
"en",
"endpoints_compatible",
"has_space",
"region:us"
] | null | allenai | null | null | allenai/biomed_roberta_base | 15 | 14,531 | transformers | 2022-03-02T23:29:05 | ---
language: en
thumbnail: https://huggingface.co/front/thumbnails/allenai.png
---
# BioMed-RoBERTa-base
BioMed-RoBERTa-base is a language model based on the RoBERTa-base (Liu et. al, 2019) architecture. We adapt RoBERTa-base to 2.68 million scientific papers from the [Semantic Scholar](https://www.semanticscholar.o... | 1,703 | [
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0.0... |
hfl/chinese-roberta-wwm-ext-large | 2022-03-01T09:15:16.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"zh",
"arxiv:1906.08101",
"arxiv:2004.13922",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | hfl | null | null | hfl/chinese-roberta-wwm-ext-large | 78 | 14,509 | transformers | 2022-03-02T23:29:05 | ---
language:
- zh
tags:
- bert
license: "apache-2.0"
---
# Please use 'Bert' related functions to load this model!
## Chinese BERT with Whole Word Masking
For further accelerating Chinese natural language processing, we provide **Chinese pre-trained BERT with Whole Word Masking**.
**[Pre-Training with Whole Word ... | 2,066 | [
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0.033660888671875,
-0.035491943359375,
-0.03887939453125,
-0.0394287109375,
0.00012... |
minutillamolinara/bert-japanese_finetuned-sentiment-analysis | 2023-03-31T13:13:37.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"ja",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | minutillamolinara | null | null | minutillamolinara/bert-japanese_finetuned-sentiment-analysis | 0 | 14,482 | transformers | 2023-03-31T02:28:09 | ---
language: ja
license: mit
widget:
- text: "自然言語処理が面白い"
metrics:
- accuracy
- f1
---
# bert-japanese_finetuned-sentiment-analysis
This model was trained from scratch on the Japanese Sentiment Polarity Dictionary dataset.
## Pre-trained model
jarvisx17/japanese-sentiment-analysis<br/>
Link : https://huggingface.c... | 1,373 | [
[
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-0.0... |
facebook/opt-66b | 2023-01-24T17:12:06.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"opt",
"text-generation",
"en",
"arxiv:2205.01068",
"arxiv:2005.14165",
"license:other",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | facebook | null | null | facebook/opt-66b | 171 | 14,474 | transformers | 2022-06-23T21:51:55 | ---
language: en
inference: false
tags:
- text-generation
- opt
license: other
commercial: false
---
# OPT : Open Pre-trained Transformer Language Models
OPT was first introduced in [Open Pre-trained Transformer Language Models](https://arxiv.org/abs/2205.01068) and first released in [metaseq's repository](https://g... | 10,010 | [
[
-0.022674560546875,
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-0.032562255859375,
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0.03369140625,
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-0.0321044921875,
-0.0465087890625,
0.0078125... |
Helsinki-NLP/opus-mt-fr-de | 2023-08-16T11:36:16.000Z | [
"transformers",
"pytorch",
"tf",
"rust",
"marian",
"text2text-generation",
"translation",
"fr",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-fr-de | 0 | 14,437 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-de
* source languages: fr
* target languages: de
* OPUS readme: [fr-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 1,209 | [
[
-0.034149169921875,
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-0.02294921875,
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0.03271484375,
-0.06170654296875,
-0.042327880859375,
-0.0477294921875,
0.016... |
timm/vit_base_patch16_224.dino | 2023-05-06T03:21:01.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2104.14294",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_base_patch16_224.dino | 0 | 14,434 | timm | 2022-12-22T07:26:27 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
---
# Model card for vit_base_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:**
- Par... | 3,678 | [
[
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0.02587890625,
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-0.0382080078125,
-0.049591064453125,
0... |
google/tapas-base-finetuned-wtq | 2022-07-14T10:12:59.000Z | [
"transformers",
"pytorch",
"tf",
"tapas",
"table-question-answering",
"en",
"dataset:wikitablequestions",
"arxiv:2004.02349",
"arxiv:2010.00571",
"arxiv:1508.00305",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | table-question-answering | google | null | null | google/tapas-base-finetuned-wtq | 159 | 14,432 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- tapas
license: apache-2.0
datasets:
- wikitablequestions
---
# TAPAS base model fine-tuned on WikiTable Questions (WTQ)
This model has 2 versions which can be used. The default version corresponds to the `tapas_wtq_wikisql_sqa_inter_masklm_base_reset` checkpoint of the [original Github reposi... | 7,191 | [
[
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EleutherAI/pythia-1.4b-deduped | 2023-06-08T13:03:28.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"causal-lm",
"pythia",
"en",
"dataset:EleutherAI/the_pile_deduplicated",
"arxiv:2304.01373",
"arxiv:2101.00027",
"arxiv:2201.07311",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region... | text-generation | EleutherAI | null | null | EleutherAI/pythia-1.4b-deduped | 18 | 14,346 | transformers | 2023-02-09T21:42:04 | ---
language:
- en
tags:
- pytorch
- causal-lm
- pythia
license: apache-2.0
datasets:
- EleutherAI/the_pile_deduplicated
---
The *Pythia Scaling Suite* is a collection of models developed to facilitate
interpretability research [(see paper)](https://arxiv.org/pdf/2304.01373.pdf).
It contains two sets of eight models... | 13,663 | [
[
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-0.016082763671875,
-0.033355712890625,
0.01502227783203125,
0.0125885009765625,
-0.0278167724609375,
-0.0220489501953125,
-0.03189086914062... |
kakaobrain/karlo-v1-alpha-image-variations | 2023-01-31T08:27:48.000Z | [
"diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"has_space",
"diffusers:UnCLIPImageVariationPipeline",
"region:us"
] | text-to-image | kakaobrain | null | null | kakaobrain/karlo-v1-alpha-image-variations | 5 | 14,341 | diffusers | 2023-01-30T19:46:46 | ---
license: creativeml-openrail-m
tags:
- text-to-image
---
# Karlo v1 alpha
Karlo is a text-conditional image generation model based on OpenAI's unCLIP architecture with the improvement over the standard super-resolution model from 64px to 256px, recovering high-frequency details only in the small number of denoisi... | 5,832 | [
[
-0.03717041015625,
-0.036529541015625,
0.0308837890625,
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-0.044830322265625,
-0.03314208984375,
-0.027130126953125,
-0.04827880859375,
0.01050567626953125,
0.0330810546875,
-0.042388916015625,
-0.053009033203125,
-0.056365966796875,
0.02... |
HooshvareLab/bert-fa-zwnj-base-ner | 2021-05-18T21:04:35.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"token-classification",
"fa",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | HooshvareLab | null | null | HooshvareLab/bert-fa-zwnj-base-ner | 3 | 14,310 | transformers | 2022-03-02T23:29:04 | ---
language: fa
---
# BertNER
This model fine-tuned for the Named Entity Recognition (NER) task on a mixed NER dataset collected from [ARMAN](https://github.com/HaniehP/PersianNER), [PEYMA](http://nsurl.org/2019-2/tasks/task-7-named-entity-recognition-ner-for-farsi/), and [WikiANN](https://elisa-ie.github.io/wikian... | 3,650 | [
[
-0.048370361328125,
-0.042816162109375,
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-0.0005545616149902344,
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-0.005352020263671875,
-0.0197601318359375,
0.0284271240234375,
0.027679443359375,
-0.03985595703125,
-0.048858642578125,
-0.0582275390625... |
intfloat/e5-small-unsupervised | 2023-07-27T03:55:32.000Z | [
"sentence-transformers",
"pytorch",
"safetensors",
"bert",
"Sentence Transformers",
"sentence-similarity",
"en",
"arxiv:2212.03533",
"arxiv:2104.08663",
"arxiv:2210.07316",
"license:mit",
"endpoints_compatible",
"region:us"
] | sentence-similarity | intfloat | null | null | intfloat/e5-small-unsupervised | 0 | 14,275 | sentence-transformers | 2023-01-31T03:03:08 | ---
tags:
- sentence-transformers
- Sentence Transformers
- sentence-similarity
language:
- en
license: mit
---
# E5-small-unsupervised
**This model is similar to [e5-small](https://huggingface.co/intfloat/e5-small) but without supervised fine-tuning.**
[Text Embeddings by Weakly-Supervised Contrastive Pre-training](... | 5,094 | [
[
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0.00708770751953125,
0.0252838134765625,
-0.042083740234375,
-0.0452880859375,
-0.073974609375,
... |
sentence-transformers/paraphrase-distilroberta-base-v1 | 2022-06-15T20:03:06.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"jax",
"roberta",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/paraphrase-distilroberta-base-v1 | 2 | 14,273 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/paraphrase-distilroberta-base-v1
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensi... | 3,741 | [
[
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0.007671356201171875,
0.005756378173828125,
0.0318603515625,
-0.03155517578125,
-0.031768798828125,
-0.057464599609375,
0... |
dbmdz/bert-base-italian-cased | 2023-09-06T22:20:14.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"it",
"dataset:wikipedia",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | fill-mask | dbmdz | null | null | dbmdz/bert-base-italian-cased | 14 | 14,269 | transformers | 2022-03-02T23:29:05 | ---
language: it
license: mit
datasets:
- wikipedia
---
# 🤗 + 📚 dbmdz BERT and ELECTRA models
In this repository the MDZ Digital Library team (dbmdz) at the Bavarian State
Library open sources Italian BERT and ELECTRA models 🎉
# Italian BERT
The source data for the Italian BERT model consists of a recent Wikiped... | 5,994 | [
[
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... |
TheBloke/Llama-2-13B-fp16 | 2023-07-20T09:47:08.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"facebook",
"meta",
"llama-2",
"en",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Llama-2-13B-fp16 | 51 | 14,243 | transformers | 2023-07-18T19:30:51 | ---
inference: false
language:
- en
pipeline_tag: text-generation
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
---
<!-- header start -->
<div style="width: 100%;">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div st... | 13,453 | [
[
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-0.05877685546875,
-0.0262908935546875,
-0.044097900390625,
... |
IDEA-CCNL/Erlangshen-Roberta-110M-Sentiment | 2023-05-25T09:42:57.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"roberta",
"NLU",
"Sentiment",
"Chinese",
"zh",
"arxiv:2209.02970",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | IDEA-CCNL | null | null | IDEA-CCNL/Erlangshen-Roberta-110M-Sentiment | 39 | 14,233 | transformers | 2022-04-20T06:45:09 | ---
language:
- zh
license: apache-2.0
tags:
- roberta
- NLU
- Sentiment
- Chinese
inference: true
widget:
- text: "今天心情不好"
---
# Erlangshen-Roberta-110M-Sentiment
- Main Page:[Fengshenbang](https://fengshenbang-lm.com/)
- Github: [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM)
## 简介 Brief Intr... | 3,052 | [
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-0... |
microsoft/unispeech-sat-base | 2021-11-05T12:41:05.000Z | [
"transformers",
"pytorch",
"unispeech-sat",
"pretraining",
"speech",
"en",
"dataset:librispeech_asr",
"arxiv:2110.05752",
"endpoints_compatible",
"region:us"
] | null | microsoft | null | null | microsoft/unispeech-sat-base | 0 | 14,203 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
datasets:
- librispeech_asr
tags:
- speech
---
# UniSpeech-SAT-Base
[Microsoft's UniSpeech](https://www.microsoft.com/en-us/research/publication/unispeech-unified-speech-representation-learning-with-labeled-and-unlabeled-data/)
The base model pretrained on 16kHz sampled speech audio with utterance... | 4,123 | [
[
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0.03558349609375,
-0.0249176025390625,
-0.02935791015625,
-0.03338623046875,
... |
yanekyuk/camembert-keyword-extractor | 2022-06-04T10:28:45.000Z | [
"transformers",
"pytorch",
"camembert",
"token-classification",
"generated_from_trainer",
"fr",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | yanekyuk | null | null | yanekyuk/camembert-keyword-extractor | 2 | 14,199 | transformers | 2022-06-04T02:03:03 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- accuracy
- f1
language:
- fr
widget:
- text: "Le président de la République appelle en outre les Français à faire le choix d'une \"majorité stable et sérieuse pour les protéger face aux crises et pour agir pour l'avenir\". \"Je vois dans le... | 4,398 | [
[
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0.01514434814453125,
0.0256195068359375,
-0.0472412109375,
-0.057891845703125,
-0.0550537109375,
-0.01... |
Meina/MeinaMix_V11 | 2023-07-16T19:53:46.000Z | [
"diffusers",
"art",
"anime",
"stable diffusion",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Meina | null | null | Meina/MeinaMix_V11 | 18 | 14,160 | diffusers | 2023-07-16T19:11:15 | ---
license: creativeml-openrail-m
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- art
- anime
- stable diffusion
---
MeinaMix Objective is to be able to do good art with little prompting.
For examples and prompts, please checkout: https://civitai.com/models/7240/meinamix
I have a discord s... | 1,487 | [
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-0.050689697265625,
-0.032623291015625,
0.015106201171875... |
felflare/bert-restore-punctuation | 2021-05-24T03:04:47.000Z | [
"transformers",
"pytorch",
"bert",
"token-classification",
"punctuation",
"en",
"dataset:yelp_polarity",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | felflare | null | null | felflare/bert-restore-punctuation | 50 | 14,118 | transformers | 2022-03-02T23:29:05 | ---
language:
- en
tags:
- punctuation
license: mit
datasets:
- yelp_polarity
metrics:
- f1
---
# ✨ bert-restore-punctuation
[]()
This a bert-base-uncased model finetuned for punctuation restoration on [Yelp Reviews](https://www.tensorflow.org/datase... | 4,976 | [
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0.021728515625,
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-0.052093505859375,
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0.012... |
akreal/tiny-random-mbart | 2022-06-07T18:16:58.000Z | [
"transformers",
"pytorch",
"tf",
"mbart",
"endpoints_compatible",
"region:us"
] | null | akreal | null | null | akreal/tiny-random-mbart | 0 | 14,071 | transformers | 2022-03-02T23:29:05 | This is a copy of: https://huggingface.co/hf-internal-testing/tiny-random-mbart
Changes: use old format for `pytorch_model.bin`.
| 130 | [
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-0.0141143798828125,
-0.012641906738281... |
nreimers/TinyBERT_L-4_H-312_v2 | 2021-05-28T11:02:32.000Z | [
"transformers",
"pytorch",
"jax",
"bert",
"feature-extraction",
"endpoints_compatible",
"region:us"
] | feature-extraction | nreimers | null | null | nreimers/TinyBERT_L-4_H-312_v2 | 1 | 14,063 | transformers | 2022-03-02T23:29:05 | This is the [General_TinyBERT_v2(4layer-312dim)](https://github.com/huawei-noah/Pretrained-Language-Model/tree/master/TinyBERT) ported to Huggingface transformers. | 164 | [
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... |
patrickvonplaten/wav2vec2_tiny_random | 2021-07-05T13:53:54.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"feature-extraction",
"endpoints_compatible",
"region:us"
] | feature-extraction | patrickvonplaten | null | null | patrickvonplaten/wav2vec2_tiny_random | 1 | 14,057 | transformers | 2022-03-02T23:29:05 | ## Test model
To test this model run the following code:
```python
from datasets import load_dataset
from transformers import Wav2Vec2ForCTC
import torchaudio
import torch
ds = load_dataset("patrickvonplaten/librispeech_asr_dummy", "clean", split="validation")
model = Wav2Vec2ForCTC.from_pretrained("patrickvonplate... | 1,020 | [
[
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-0.014427185... |
google/t5-v1_1-large | 2023-01-24T16:52:33.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2002.05202",
"arxiv:1910.10683",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | google | null | null | google/t5-v1_1-large | 11 | 14,052 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- c4
license: apache-2.0
---
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) Version 1.1
## Version 1.1
[T5 Version 1.1](https://github.com/google-research/text-to-text-transfer-transformer/blob/master/released_checkpoints.md#t511) includes the f... | 2,671 | [
[
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0.033538818359375,
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... |
eimiss/EimisAnimeDiffusion_1.0v | 2023-05-16T09:28:18.000Z | [
"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 | eimiss | null | null | eimiss/EimisAnimeDiffusion_1.0v | 403 | 14,047 | diffusers | 2022-11-15T19:51:46 | ---
thumbnail: https://imgur.com/6ztDBPR.png
language:
- en
tags:
- stable-diffusion
- text-to-image
- image-to-image
- diffusers
license: creativeml-openrail-m
inference: true
---
# Check out v2 of the model:
https://huggingface.co/eimiss/EimisAnimeDiffusion_2.0v
# Diffusion model
This model is trained with high qua... | 4,833 | [
[
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0.0258026123046875,
-0.0257110595703125,
0.0301971435546875,
0.043365478515625,
-0.057525634765625,
-0.058197021484375,
-0.05718994140625,
-0.009... |
sonoisa/t5-base-japanese | 2022-07-31T08:20:41.000Z | [
"transformers",
"pytorch",
"jax",
"t5",
"feature-extraction",
"text2text-generation",
"seq2seq",
"ja",
"dataset:wikipedia",
"dataset:oscar",
"dataset:cc100",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | feature-extraction | sonoisa | null | null | sonoisa/t5-base-japanese | 35 | 14,022 | transformers | 2022-03-02T23:29:05 | ---
language: ja
tags:
- t5
- text2text-generation
- seq2seq
license: cc-by-sa-4.0
datasets:
- wikipedia
- oscar
- cc100
---
# 日本語T5事前学習済みモデル
This is a T5 (Text-to-Text Transfer Transformer) model pretrained on Japanese corpus.
次の日本語コーパス（約100GB）を用いて事前学習を行ったT5 (Text-to-Text Transfer Transformer) モデルです。
* [Wikipedi... | 3,558 | [
[
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0.00804901123046875,
-0.03948974609375,
-0.067138671875,
-0.05389404296875,
-0.004... |
facebook/mbart-large-cc25 | 2023-03-28T09:36:03.000Z | [
"transformers",
"pytorch",
"tf",
"mbart",
"text2text-generation",
"translation",
"en",
"ar",
"cs",
"de",
"et",
"fi",
"fr",
"gu",
"hi",
"it",
"ja",
"kk",
"ko",
"lt",
"lv",
"my",
"ne",
"nl",
"ro",
"ru",
"si",
"tr",
"vi",
"zh",
"multilingual",
"autotrain_co... | translation | facebook | null | null | facebook/mbart-large-cc25 | 53 | 14,015 | transformers | 2022-03-02T23:29:05 | ---
tags:
- translation
language:
- en
- ar
- cs
- de
- et
- fi
- fr
- gu
- hi
- it
- ja
- kk
- ko
- lt
- lv
- my
- ne
- nl
- ro
- ru
- si
- tr
- vi
- zh
- multilingual
---
#### mbart-large-cc25
Pretrained (not finetuned) multilingual mbart model.
Original Languages
```
export langs=ar_AR,cs_CZ,de_DE,en_XX,es_XX,et... | 699 | [
[
-0.04376220703125,
-0.03765869140625,
0.0015125274658203125,
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-0.046417236328125,
0.00382232666015625,
0.008941650390625,
0.04730224609375,
-0.05322265625,
-0.038055419921875,
-0.02569580078125,
0.0... |
aubmindlab/araelectra-base-generator | 2023-03-22T13:55:02.000Z | [
"transformers",
"pytorch",
"tf",
"tensorboard",
"safetensors",
"electra",
"fill-mask",
"ar",
"dataset:wikipedia",
"dataset:Osian",
"dataset:1.5B-Arabic-Corpus",
"dataset:oscar-arabic-unshuffled",
"dataset:Assafir(private)",
"arxiv:1406.2661",
"arxiv:2012.15516",
"autotrain_compatible",... | fill-mask | aubmindlab | null | null | aubmindlab/araelectra-base-generator | 1 | 13,999 | transformers | 2022-03-02T23:29:05 | ---
language: ar
datasets:
- wikipedia
- Osian
- 1.5B-Arabic-Corpus
- oscar-arabic-unshuffled
- Assafir(private)
widget:
- text: " عاصمة لبنان هي [MASK] ."
---
# AraELECTRA
<img src="https://raw.githubusercontent.com/aub-mind/arabert/master/AraELECTRA.png" width="100" align="left"/>
**ELECTRA** is a method for self... | 4,910 | [
[
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-0.045501708984375,
0.022064208984375,
-0.004154205322265625,
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0.00838470458984375,
-0.00315093994140625,
-0.032012939453125,
0.0258331298828125,
0.02496337890625,
-0.02996826171875,
-0.0521240234375,
-0.060821533203125,
... |
facebook/wav2vec2-large-lv60 | 2021-12-28T12:45:09.000Z | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"pretraining",
"speech",
"en",
"dataset:librispeech_asr",
"arxiv:2006.11477",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | facebook | null | null | facebook/wav2vec2-large-lv60 | 5 | 13,941 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
license: apache-2.0
---
# Wav2Vec2-Large-LV60
[Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/)
The base model pretrained on 16kHz sampled speech audio. When using the model make sure that your ... | 2,002 | [
[
-0.005123138427734375,
-0.038848876953125,
0.005950927734375,
-0.005329132080078125,
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-0.0249786376953125,
-0.05548095703125,
-0.0170440673828125,
0.01202392578125,
-0.03948974609375,
-0.03070068359375,
-0.049346923828125,
... |
openai/imagegpt-small | 2023-06-12T11:16:21.000Z | [
"transformers",
"pytorch",
"imagegpt",
"vision",
"dataset:imagenet-21k",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null | openai | null | null | openai/imagegpt-small | 10 | 13,894 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- vision
datasets:
- imagenet-21k
---
# ImageGPT (small-sized model)
ImageGPT (iGPT) model pre-trained on ImageNet ILSVRC 2012 (14 million images, 21,843 classes) at resolution 32x32. It was introduced in the paper [Generative Pretraining from Pixels](https://cdn.openai.com/papers/Gener... | 4,631 | [
[
-0.04742431640625,
-0.02142333984375,
0.010711669921875,
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-0.031707763671875,
-0.0248260498046875,
-0.0141448974609375,
-0.0275421142578125,
-0.0024871826171875,
0.014068603515625,
-0.0333251953125,
-0.030670166015625,
-0.04443359375,
... |
timm/vit_large_patch14_dinov2.lvd142m | 2023-09-03T21:59:43.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2304.07193",
"arxiv:2010.11929",
"license:apache-2.0",
"has_space",
"region:us"
] | image-classification | timm | null | null | timm/vit_large_patch14_dinov2.lvd142m | 3 | 13,882 | timm | 2023-05-09T21:05:24 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
---
# Model card for vit_large_patch14_dinov2.lvd142m
A Vision Transformer (ViT) image feature model. Pretrained on LVD-142M with self-supervised DINOv2 method.
## Model Details
- **Model Type:** Image classification / feature backbone
- ... | 3,991 | [
[
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0.0204925537109375,
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-0.0394287109375,
-0.051361083984375,
-0.0038... |
setu4993/LaBSE | 2023-10-19T06:23:16.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"feature-extraction",
"sentence_embedding",
"multilingual",
"google",
"sentence-similarity",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"bo",
"bs",
"ca",
"ceb",
"co",
"cs",
"cy",
"da",
"de",
"... | sentence-similarity | setu4993 | null | null | setu4993/LaBSE | 43 | 13,875 | transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
language:
- af
- am
- ar
- as
- az
- be
- bg
- bn
- bo
- bs
- ca
- ceb
- co
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- haw
- he
- hi
- hmn
- hr
- ht
-... | 4,354 | [
[
-0.01412200927734375,
-0.05810546875,
0.02783203125,
0.0225372314453125,
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-0.0294189453125,
-0.01316070556640625,
0.0168304443359375,
0.00583648681640625,
-0.027099609375,
-0.051544189453125,
-0.046478271484375,
0.00... |
openchat/openchat_v3.2_super | 2023-10-02T03:00:40.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2309.11235",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | openchat | null | null | openchat/openchat_v3.2_super | 30 | 13,858 | transformers | 2023-09-04T03:06:59 | ---
license: llama2
---
# OpenChat: Advancing Open-source Language Models with Imperfect Data</h1>
<div align="center">
<img src="https://raw.githubusercontent.com/imoneoi/openchat/master/assets/logo_new.png" style="width: 65%">
</div>
OpenChat is a collection of open-source language models, optimized and fine-tun... | 8,503 | [
[
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0.0200042724609375,
0.027130126953125,
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-0.019989013671875,
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0.020660400390625,
0.0264129638671875,
-0.04248046875,
-0.0323486328125,
-0.033203125,
-0.02458190917... |
Helsinki-NLP/opus-mt-gmw-gmw | 2023-08-16T11:38:06.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"nl",
"en",
"lb",
"af",
"de",
"fy",
"yi",
"gmw",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-gmw-gmw | 0 | 13,823 | transformers | 2022-03-02T23:29:04 | ---
language:
- nl
- en
- lb
- af
- de
- fy
- yi
- gmw
tags:
- translation
license: apache-2.0
---
### gmw-gmw
* source group: West Germanic languages
* target group: West Germanic languages
* OPUS readme: [gmw-gmw](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmw-gmw/README.md)
* mode... | 11,700 | [
[
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0.01186370849609375,
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0.058380126953125,
0.0020465850830078125,
-0.0222015380859375,
-0.033477783203125,
-0.038177490234375,
... |
j5ng/et5-typos-corrector | 2023-06-05T07:41:33.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"ko",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | j5ng | null | null | j5ng/et5-typos-corrector | 2 | 13,818 | transformers | 2023-06-04T07:20:53 | ---
language:
- ko
pipeline_tag: text2text-generation
license: apache-2.0
---
## 한국어 맞춤법 교정기(Korean Typos Corrector)
- ETRI-et5 모델을 기반으로 fine-tuning한 한국어 구어체 전용 맞춤법 교정기 입니다.
## Base on PLM model(ET5)
- ETRI(https://aiopen.etri.re.kr/et5Model)
## Base on Dataset
- 모두의 말뭉치(https://corpus.korean.go.kr/request/reause... | 2,173 | [
[
-0.0155487060546875,
-0.040496826171875,
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-0.0245208740234375,
0.01239013671875,
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0.01111602783203125,
0.027069091796875,
-0.0309600830078125,
-0.047943115234375,
-0.0546875,
0.03... |
MoritzLaurer/DeBERTa-v3-base-mnli-fever-docnli-ling-2c | 2023-04-05T20:40:03.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta-v2",
"text-classification",
"zero-shot-classification",
"en",
"arxiv:2104.07179",
"arxiv:2106.09449",
"arxiv:2006.03654",
"arxiv:2111.09543",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-classification | MoritzLaurer | null | null | MoritzLaurer/DeBERTa-v3-base-mnli-fever-docnli-ling-2c | 9 | 13,814 | transformers | 2022-03-02T23:29:04 | ---
language:
- en
license: mit
tags:
- text-classification
- zero-shot-classification
metrics:
- accuracy
widget:
- text: "I first thought that I liked the movie, but upon second thought it was actually disappointing. [SEP] The movie was good."
---
# DeBERTa-v3-base-mnli-fever-docnli-ling-2c
## Model description
Thi... | 5,447 | [
[
-0.0230712890625,
-0.036285400390625,
0.0111846923828125,
0.0141448974609375,
-0.0159912109375,
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0.0021266937255859375,
-0.036346435546875,
0.029815673828125,
0.01279449462890625,
-0.0306396484375,
-0.0413818359375,
-0.0531005859375,
0.01... |
deutsche-telekom/gbert-large-paraphrase-euclidean | 2023-03-03T07:35:12.000Z | [
"sentence-transformers",
"pytorch",
"bert",
"sentence-similarity",
"transformers",
"setfit",
"de",
"dataset:deutsche-telekom/ger-backtrans-paraphrase",
"license:mit",
"endpoints_compatible",
"region:us"
] | sentence-similarity | deutsche-telekom | null | null | deutsche-telekom/gbert-large-paraphrase-euclidean | 9 | 13,772 | sentence-transformers | 2023-01-13T10:30:12 | ---
pipeline_tag: sentence-similarity
language:
- de
tags:
- sentence-transformers
- sentence-similarity
- transformers
- setfit
license: mit
datasets:
- deutsche-telekom/ger-backtrans-paraphrase
---
# German BERT large paraphrase euclidean
This is a [sentence-transformers](https://www.SBERT.net) model.
It maps s... | 2,992 | [
[
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-0.0771484375,
0.040679931640625,
0.016815185546875,
-0.0305328369140625,
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-0.037567138671875,
-0.0251312255859375,
0.0005550384521484375,
0.0384521484375,
-0.036163330078125,
-0.04888916015625,
-0.04315185546875,
0.0054... |
pykeio/lite-toxic-comment-classification | 2023-03-16T21:47:37.000Z | [
"transformers",
"pytorch",
"safetensors",
"albert",
"text-classification",
"en",
"dataset:jigsaw_unintended_bias",
"dataset:jigsaw_toxicity_pred",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-classification | pykeio | null | null | pykeio/lite-toxic-comment-classification | 1 | 13,719 | transformers | 2023-01-13T22:23:28 | ---
license: apache-2.0
datasets:
- jigsaw_unintended_bias
- jigsaw_toxicity_pred
language:
- en
metrics:
- accuracy
pipeline_tag: text-classification
---
# Lite Toxic Comment Classification
Lightweight ALBERT-based model for English toxic comment classification. Achieves a mean AUC score of 98.28 on the Jigsaw test s... | 323 | [
[
-0.0281219482421875,
-0.04071044921875,
0.0184173583984375,
-0.003154754638671875,
-0.0137786865234375,
-0.00856781005859375,
0.0190277099609375,
-0.038421630859375,
0.028167724609375,
0.027740478515625,
-0.0318603515625,
-0.026031494140625,
-0.0322265625,
0... |
facebook/wav2vec2-base-100h | 2022-05-27T16:32:50.000Z | [
"transformers",
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"en",
"dataset:librispeech_asr",
"arxiv:2006.11477",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | facebook | null | null | facebook/wav2vec2-base-100h | 3 | 13,707 | transformers | 2022-03-02T23:29:05 | ---
language: en
datasets:
- librispeech_asr
tags:
- audio
- automatic-speech-recognition
license: apache-2.0
---
# Wav2Vec2-Base-100h
[Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/)
The base model pretrained and fine-tuned on 100 hours of Librispeech o... | 3,765 | [
[
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TheBloke/Falcon-7B-Instruct-GPTQ | 2023-08-21T11:21:22.000Z | [
"transformers",
"safetensors",
"RefinedWebModel",
"text-generation",
"custom_code",
"en",
"dataset:tiiuae/falcon-refinedweb",
"arxiv:2205.14135",
"arxiv:1911.02150",
"arxiv:2005.14165",
"arxiv:2104.09864",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Falcon-7B-Instruct-GPTQ | 60 | 13,681 | transformers | 2023-05-27T09:03:00 | ---
datasets:
- tiiuae/falcon-refinedweb
license: apache-2.0
language:
- en
inference: false
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margi... | 16,784 | [
[
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... |
chavinlo/alpaca-native | 2023-03-31T13:09:41.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | chavinlo | null | null | chavinlo/alpaca-native | 250 | 13,679 | transformers | 2023-03-16T02:37:26 | # Stanford Alpaca
This is a replica of Alpaca by Stanford' tatsu
Trained using the original instructions with a minor modification in FSDP mode
# Other versions:
13B: https://huggingface.co/chavinlo/alpaca-13b
13B -> GPT4 : https://huggingface.co/chavinlo/gpt4-x-alpaca
## Compute Used
Trained on 4xA100s for 6H
Don... | 1,475 | [
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-0.03778076171875,
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KoboldAI/LLaMA2-13B-Holomax | 2023-08-17T14:18:33.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | KoboldAI | null | null | KoboldAI/LLaMA2-13B-Holomax | 12 | 13,645 | transformers | 2023-08-14T14:26:32 | ---
license: other
---
# LLaMA 2 Holomax 13B - The writers version of Mythomax
This is an expansion merge to the well praised Mythomax model from Gryphe (60%) using MrSeeker's KoboldAI Holodeck model (40%)
The goal of this model is to enhance story writing capabilities while preserving the desirable traits of the Myth... | 8,557 | [
[
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euclaise/falcon_1b_stage2 | 2023-09-25T06:18:39.000Z | [
"transformers",
"pytorch",
"falcon",
"text-generation",
"generated_from_trainer",
"custom_code",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | euclaise | null | null | euclaise/falcon_1b_stage2 | 2 | 13,633 | transformers | 2023-09-17T22:37:09 | ---
license: apache-2.0
base_model: euclaise/falcon_1b_stage1
tags:
- generated_from_trainer
model-index:
- name: falcon_1b_stage2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove t... | 1,180 | [
[
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0.031890869140625,
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-0.0345458984375,
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0.00277709... |
pyannote/overlapped-speech-detection | 2022-10-28T13:46:33.000Z | [
"pyannote-audio",
"pyannote",
"pyannote-audio-pipeline",
"audio",
"voice",
"speech",
"speaker",
"overlapped-speech-detection",
"automatic-speech-recognition",
"dataset:ami",
"dataset:dihard",
"dataset:voxconverse",
"license:mit",
"region:us"
] | automatic-speech-recognition | pyannote | null | null | pyannote/overlapped-speech-detection | 13 | 13,625 | pyannote-audio | 2022-03-02T23:29:05 | ---
tags:
- pyannote
- pyannote-audio
- pyannote-audio-pipeline
- audio
- voice
- speech
- speaker
- overlapped-speech-detection
- automatic-speech-recognition
datasets:
- ami
- dihard
- voxconverse
license: mit
extra_gated_prompt: "The collected information will help acquire a better knowledge of pyannote.audio userba... | 2,759 | [
[
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baichuan-inc/Baichuan-7B | 2023-07-19T07:00:20.000Z | [
"transformers",
"pytorch",
"baichuan",
"text-generation",
"custom_code",
"zh",
"en",
"arxiv:1910.07467",
"arxiv:2009.03300",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | baichuan-inc | null | null | baichuan-inc/Baichuan-7B | 792 | 13,611 | transformers | 2023-06-13T07:47:16 | ---
language:
- zh
- en
pipeline_tag: text-generation
inference: false
---
# Baichuan-7B
<!-- Provide a quick summary of what the model is/does. -->
Baichuan-7B是由百川智能开发的一个开源的大规模预训练模型。基于Transformer结构，在大约1.2万亿tokens上训练的70亿参数模型，支持中英双语，上下文窗口长度为4096。在标准的中文和英文权威benchmark（C-EVAL/MMLU）上均取得同尺寸最好的效果。
如果希望使用Baichuan-7B（如进行推理、F... | 11,725 | [
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Yntec/Dreamshaper8 | 2023-10-17T06:03:44.000Z | [
"diffusers",
"General",
"Anime",
"Art",
"Girl",
"Photorealistic",
"LandScapes",
"Lykon",
"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/Dreamshaper8 | 5 | 13,602 | diffusers | 2023-10-11T17:46:03 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- General
- Anime
- Art
- Girl
- Photorealistic
- LandScapes
- Lykon
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
# Dreamshaper 8
Original page:
https://civitai.com/models/4384?modelVersi... | 608 | [
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facebook/deit-base-distilled-patch16-224 | 2022-07-13T11:39:38.000Z | [
"transformers",
"pytorch",
"tf",
"deit",
"image-classification",
"vision",
"dataset:imagenet",
"arxiv:2012.12877",
"arxiv:2006.03677",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | facebook | null | null | facebook/deit-base-distilled-patch16-224 | 20 | 13,592 | transformers | 2022-03-02T23:29:05 | ---
license: apache-2.0
tags:
- image-classification
- vision
datasets:
- imagenet
---
# Distilled Data-efficient Image Transformer (base-sized model)
Distilled data-efficient Image Transformer (DeiT) model pre-trained and fine-tuned on ImageNet-1k (1 million images, 1,000 classes) at resolution 224x224. It was first... | 6,823 | [
[
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... |
Habana/wav2vec2 | 2023-02-25T09:47:27.000Z | [
"optimum_habana",
"license:apache-2.0",
"region:us"
] | null | Habana | null | null | Habana/wav2vec2 | 0 | 13,564 | null | 2022-10-15T18:19:06 | ---
license: apache-2.0
---
[Optimum Habana](https://github.com/huggingface/optimum-habana) is the interface between the Hugging Face Transformers and Diffusers libraries and Habana's Gaudi processor (HPU).
It provides a set of tools enabling easy and fast model loading, training and inference on single- and multi-HPU... | 2,664 | [
[
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0.0179595947265625,
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-0.0343017578125,
-0.0... |
PY007/TinyLlama-1.1B-Chat-v0.3 | 2023-11-05T06:07:52.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"en",
"dataset:cerebras/SlimPajama-627B",
"dataset:bigcode/starcoderdata",
"dataset:OpenAssistant/oasst_top1_2023-08-25",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us... | text-generation | PY007 | null | null | PY007/TinyLlama-1.1B-Chat-v0.3 | 17 | 13,563 | transformers | 2023-10-06T17:03:35 | ---
license: apache-2.0
datasets:
- cerebras/SlimPajama-627B
- bigcode/starcoderdata
- OpenAssistant/oasst_top1_2023-08-25
language:
- en
---
<div align="center">
# TinyLlama-1.1B
</div>
https://github.com/jzhang38/TinyLlama
The TinyLlama project aims to **pretrain** a **1.1B Llama model on 3 trillion tokens**. With... | 2,112 | [
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... |
m-a-p/MERT-v1-330M | 2023-06-02T13:50:23.000Z | [
"transformers",
"pytorch",
"mert_model",
"feature-extraction",
"music",
"custom_code",
"arxiv:2306.00107",
"license:cc-by-nc-4.0",
"region:us"
] | feature-extraction | m-a-p | null | null | m-a-p/MERT-v1-330M | 30 | 13,560 | transformers | 2023-03-17T12:07:01 | ---
license: cc-by-nc-4.0
inference: false
tags:
- music
---
# Introduction to our series work
The development log of our Music Audio Pre-training (m-a-p) model family:
- 02/06/2023: [arxiv pre-print](https://arxiv.org/abs/2306.00107) and training [codes](https://github.com/yizhilll/MERT) released.
- 17/03/2023: we r... | 6,725 | [
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Habana/t5 | 2023-09-08T13:39:25.000Z | [
"optimum_habana",
"license:apache-2.0",
"region:us"
] | null | Habana | null | null | Habana/t5 | 0 | 13,547 | null | 2022-06-04T15:43:41 | ---
license: apache-2.0
---
[Optimum Habana](https://github.com/huggingface/optimum-habana) is the interface between the Hugging Face Transformers and Diffusers libraries and Habana's Gaudi processor (HPU).
It provides a set of tools enabling easy and fast model loading, training and inference on single- and multi-HPU... | 2,075 | [
[
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... |
ahmedrachid/FinancialBERT-Sentiment-Analysis | 2022-02-07T14:58:57.000Z | [
"transformers",
"pytorch",
"bert",
"text-classification",
"financial-sentiment-analysis",
"sentiment-analysis",
"en",
"dataset:financial_phrasebank",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | ahmedrachid | null | null | ahmedrachid/FinancialBERT-Sentiment-Analysis | 43 | 13,534 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- financial-sentiment-analysis
- sentiment-analysis
datasets:
- financial_phrasebank
widget:
- text: Operating profit rose to EUR 13.1 mn from EUR 8.7 mn in the corresponding period in 2007 representing 7.7 % of net sales.
- text: Bids or offers include at least 1,000 shares and the value of the ... | 3,448 | [
[
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-0.03253173828125,
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-0.0176849365234375,
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0.0211639404296875,
0.0280609130859375,
-0.05096435546875,
-0.06939697265625,
-0.05511474609375,
... |
arpanghoshal/EmoRoBERTa | 2023-02-11T01:57:27.000Z | [
"transformers",
"tf",
"roberta",
"text-classification",
"tensorflow",
"en",
"dataset:go_emotions",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | arpanghoshal | null | null | arpanghoshal/EmoRoBERTa | 77 | 13,534 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- text-classification
- tensorflow
- roberta
datasets:
- go_emotions
license: mit
---
Connect me on LinkedIn
- [linkedin.com/in/arpanghoshal](https://www.linkedin.com/in/arpanghoshal)
## What is GoEmotions
Dataset labelled 58000 Reddit comments with 28 emotions
- admiration, amusement, anger... | 1,830 | [
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-0.003473281... |
Helsinki-NLP/opus-mt-no-de | 2023-08-16T12:01:50.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"no",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-no-de | 0 | 13,499 | transformers | 2022-03-02T23:29:04 | ---
language:
- no
- de
tags:
- translation
license: apache-2.0
---
### nor-deu
* source group: Norwegian
* target group: German
* OPUS readme: [nor-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-deu/README.md)
* model: transformer-align
* source language(s): nno nob
* target la... | 2,065 | [
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0.0321655... |
sentence-transformers/msmarco-distilbert-base-tas-b | 2022-08-18T16:35:39.000Z | [
"sentence-transformers",
"pytorch",
"tf",
"distilbert",
"feature-extraction",
"sentence-similarity",
"transformers",
"en",
"dataset:ms_marco",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | sentence-similarity | sentence-transformers | null | null | sentence-transformers/msmarco-distilbert-base-tas-b | 27 | 13,498 | sentence-transformers | 2022-03-02T23:29:05 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
language: "en"
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
datasets:
- ms_marco
---
# sentence-transformers/msmarco-distilbert-base-tas-b
This is a port of the [DistilBert TAS-B Model](https://huggingface.co/sebastia... | 3,988 | [
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Helsinki-NLP/opus-mt-da-de | 2023-08-16T11:27:20.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"da",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-da-de | 0 | 13,494 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-da-de
* source languages: da
* target languages: de
* OPUS readme: [da-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 818 | [
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LTP/small | 2022-09-19T06:36:05.000Z | [
"transformers",
"pytorch",
"endpoints_compatible",
"region:us"
] | null | LTP | null | null | LTP/small | 4 | 13,446 | transformers | 2022-08-14T04:14:58 | 
| Language | version ... | 6,719 | [
[
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0.01068115234375,
-0.022125244140625,
-0.034149169921875,
-0.039642333984375,
-0.0018587112... |
nvidia/mit-b5 | 2022-08-06T10:25:24.000Z | [
"transformers",
"pytorch",
"tf",
"segformer",
"image-classification",
"vision",
"dataset:imagenet_1k",
"arxiv:2105.15203",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | image-classification | nvidia | null | null | nvidia/mit-b5 | 2 | 13,422 | transformers | 2022-03-02T23:29:05 | ---
license: other
tags:
- vision
datasets:
- imagenet_1k
widget:
- src: https://huggingface.co/datasets/hf-internal-testing/fixtures_ade20k/resolve/main/ADE_val_00000001.jpg
example_title: House
- src: https://huggingface.co/datasets/hf-internal-testing/fixtures_ade20k/resolve/main/ADE_val_00000002.jpg
example_tit... | 3,354 | [
[
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0.00313568115234375,
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0.0182647705078125,
0.04315185546875,
-0.061370849609375,
-0.040802001953125,
-0.057952880859375,
0.00... |
microsoft/BiomedVLP-BioViL-T | 2023-03-20T17:04:32.000Z | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"exbert",
"custom_code",
"en",
"arxiv:2301.04558",
"arxiv:2204.09817",
"license:mit",
"has_space",
"region:us"
] | feature-extraction | microsoft | null | null | microsoft/BiomedVLP-BioViL-T | 10 | 13,422 | transformers | 2023-02-17T10:19:58 | ---
language: en
tags:
- exbert
license: mit
widget:
- text: "Left pleural effusion with adjacent [MASK]."
example_title: "Radiology 1"
- text: "Heart size normal and lungs are [MASK]."
example_title: "Radiology 2"
- text: "[MASK] is a tumor suppressor gene."
example_title: "Biomedical"
- text: "The patient was o... | 12,714 | [
[
-0.01300811767578125,
-0.051300048828125,
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0.00409698486328125,
-0.0325927734375,
0.01157379150390625,
0.0225372314453125,
-0.02960205078125,
-0.057098388671875,
-0.05633544921875,
... |
EleutherAI/pythia-1b | 2023-07-09T16:05:58.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"causal-lm",
"pythia",
"en",
"dataset:the_pile",
"arxiv:2304.01373",
"arxiv:2101.00027",
"arxiv:2201.07311",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | EleutherAI | null | null | EleutherAI/pythia-1b | 16 | 13,392 | transformers | 2023-03-10T21:42:46 | ---
language:
- en
tags:
- pytorch
- causal-lm
- pythia
license: apache-2.0
datasets:
- the_pile
---
The *Pythia Scaling Suite* is a collection of models developed to facilitate
interpretability research [(see paper)](https://arxiv.org/pdf/2304.01373.pdf).
It contains two sets of eight models of sizes
70M, 160M, 41... | 13,545 | [
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-0.033233642578125,... |
mrm8488/t5-base-finetuned-summarize-news | 2023-03-17T00:50:19.000Z | [
"transformers",
"pytorch",
"jax",
"safetensors",
"t5",
"text2text-generation",
"news",
"summary",
"en",
"arxiv:1910.10683",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | mrm8488 | null | null | mrm8488/t5-base-finetuned-summarize-news | 31 | 13,365 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- news
- summary
---
# T5-base fine-tuned fo News Summarization 📖✏️🧾
All credits to [Abhishek Kumar Mishra](https://github.com/abhimishra91)
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) base fine-tuned on [News Summary](https://www.kaggle.com/sun... | 6,429 | [
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saattrupdan/wav2vec2-xls-r-300m-ftspeech | 2023-09-11T13:27:55.000Z | [
"transformers",
"pytorch",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"da",
"dataset:ftspeech",
"license:other",
"model-index",
"endpoints_compatible",
"region:us"
] | automatic-speech-recognition | saattrupdan | null | null | saattrupdan/wav2vec2-xls-r-300m-ftspeech | 0 | 13,340 | transformers | 2022-03-04T14:53:05 | ---
language:
- da
license: other
datasets:
- ftspeech
metrics:
- wer
tasks:
- automatic-speech-recognition
base_model: facebook/wav2vec2-xls-r-300m
model-index:
- name: wav2vec2-xls-r-300m-ftspeech
results:
- task:
type: automatic-speech-recognition
dataset:
name: Danish Common Voice 8.0
type... | 1,498 | [
[
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0.0... |
cardiffnlp/twitter-roberta-base-dec2021-tweet-topic-multi-all | 2022-09-30T00:31:18.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"dataset:cardiffnlp/tweet_topic_multi",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | cardiffnlp | null | null | cardiffnlp/twitter-roberta-base-dec2021-tweet-topic-multi-all | 4 | 13,304 | transformers | 2022-09-29T17:01:29 | ---
datasets:
- cardiffnlp/tweet_topic_multi
metrics:
- f1
- accuracy
model-index:
- name: cardiffnlp/twitter-roberta-base-dec2021-tweet-topic-multi-all
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: cardiffnlp/tweet_topic_multi
type: cardiffnlp/tweet... | 3,237 | [
[
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0.031707763671875,
0.0171356201171875,
-0.050994873046875,
-0.052337646484375,
-0.056396484375,
... |
jonatasgrosman/wav2vec2-large-xlsr-53-dutch | 2022-12-14T01:58:20.000Z | [
"transformers",
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_6_0",
"nl",
"robust-speech-event",
"speech",
"xlsr-fine-tuning-week",
"dataset:common_voice",
"dataset:mozilla-foundation/common_voice_6_0",
"doi:... | automatic-speech-recognition | jonatasgrosman | null | null | jonatasgrosman/wav2vec2-large-xlsr-53-dutch | 6 | 13,293 | transformers | 2022-03-02T23:29:05 | ---
language: nl
license: apache-2.0
datasets:
- common_voice
- mozilla-foundation/common_voice_6_0
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- hf-asr-leaderboard
- mozilla-foundation/common_voice_6_0
- nl
- robust-speech-event
- speech
- xlsr-fine-tuning-week
model-index:
- name: XLSR Wav2Vec2 ... | 5,601 | [
[
-0.03338623046875,
-0.05322265625,
0.0153350830078125,
0.017822265625,
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-0.0278472900390625,
-0.049102783203125,
0.0220794677734375,
0.020263671875,
-0.046417236328125,
-0.0384521484375,
-0.0357666015625,
0.004573822021... |
pankajmathur/orca_mini_v3_70b | 2023-08-25T23:15:10.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:psmathur/orca_mini_v1_dataset",
"dataset:ehartford/dolphin",
"arxiv:2306.02707",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | pankajmathur | null | null | pankajmathur/orca_mini_v3_70b | 16 | 13,229 | transformers | 2023-08-10T02:28:29 | ---
language:
- en
library_name: transformers
license: other
datasets:
- psmathur/orca_mini_v1_dataset
- ehartford/dolphin
pipeline_tag: text-generation
---
# orca_mini_v3_70b
A Llama2-70b model trained on Orca Style datasets.
<br>
![orca-mini](https://huggingface.co/psmathur/orca_mini_v3_70b/resolve/main/orca_min... | 4,735 | [
[
-0.022003173828125,
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0.020172119140625,
0.0130462646484375,
-0.053375244140625,
-0.04632568359375,
-0.041748046875... |
facebook/mms-tts-eng | 2023-09-06T13:32:25.000Z | [
"transformers",
"pytorch",
"safetensors",
"vits",
"text-to-audio",
"mms",
"text-to-speech",
"arxiv:2305.13516",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-to-speech | facebook | null | null | facebook/mms-tts-eng | 22 | 13,209 | transformers | 2023-08-24T09:09:22 |
---
license: cc-by-nc-4.0
tags:
- mms
- vits
pipeline_tag: text-to-speech
---
# Massively Multilingual Speech (MMS): English Text-to-Speech
This repository contains the **English (eng)** language text-to-speech (TTS) model checkpoint.
This model is part of Facebook's [Massively Multilingual Speech](https://arxiv.or... | 3,996 | [
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... |
nvidia/segformer-b3-finetuned-cityscapes-1024-1024 | 2022-08-09T11:32:45.000Z | [
"transformers",
"pytorch",
"tf",
"segformer",
"vision",
"image-segmentation",
"dataset:cityscapes",
"arxiv:2105.15203",
"license:other",
"endpoints_compatible",
"region:us"
] | image-segmentation | nvidia | null | null | nvidia/segformer-b3-finetuned-cityscapes-1024-1024 | 2 | 13,206 | transformers | 2022-03-02T23:29:05 | ---
license: other
tags:
- vision
- image-segmentation
datasets:
- cityscapes
widget:
- src: https://cdn-media.huggingface.co/Inference-API/Sample-results-on-the-Cityscapes-dataset-The-above-images-show-how-our-method-can-handle.png
example_title: Road
---
# SegFormer (b3-sized) model fine-tuned on CityScapes
SegFo... | 3,017 | [
[
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-0.05401611328125,
0.017791748046875,
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0.043731689453125,
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-0.043609619140625,
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0.... |
Envvi/Inkpunk-Diffusion | 2022-11-29T16:31:21.000Z | [
"diffusers",
"stable-diffusion",
"text-to-image",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Envvi | null | null | Envvi/Inkpunk-Diffusion | 916 | 13,189 | diffusers | 2022-11-25T06:06:18 | ---
license: creativeml-openrail-m
language:
- en
tags:
- stable-diffusion
- text-to-image
- diffusers
---
# Inkpunk Diffusion
Finetuned Stable Diffusion model trained on dreambooth. Vaguely inspired by Gorillaz, FLCL, and Yoji Shinkawa. Use **_nvinkpunk_** in your prompts.
# Gradio
We support a [Gradio](https://gi... | 930 | [
[
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0.050994873046875,
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0.01331329345703125,
-0.0164794921875,
0.053955078125,
0.027984619140625,
-0.04461669921875,
-0.033233642578125,
-0.0408935546875,
-0.03054809... |
heegyu/kodialogpt-v0 | 2022-11-09T08:39:22.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | heegyu | null | null | heegyu/kodialogpt-v0 | 1 | 13,185 | transformers | 2022-11-03T00:09:11 | ---
license: cc-by-nc-sa-4.0
---
[skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2)를 AIHub 일상대화 데이터셋으로 파인튜닝한 모델입니다.<br/>
학습 코드: https://github.com/HeegyuKim/open-domain-dialog<br/>
Streamlit Demo: https://heegyukim-open-domain-dialog-st-demo-1tzktp.streamlitapp.com/<br/>
## 사용예시
```
tokenizer = AutoToke... | 1,346 | [
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-0.0077056884765625,
-0.01357269287109375,
0.01552581787109375,
0.033843994140625,
-0.05511474609375,
-0.049530029296875,
-0.03912353515625,
... |
paust/pko-t5-large | 2023-06-28T17:03:42.000Z | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"ko",
"arxiv:2105.09680",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text2text-generation | paust | null | null | paust/pko-t5-large | 13 | 13,182 | transformers | 2022-05-16T11:59:52 | ---
language: ko
license: cc-by-4.0
---
# pko-t5-large
[Source Code](https://github.com/paust-team/pko-t5)
pko-t5 는 한국어 전용 데이터로 학습한 [t5 v1.1 모델](https://github.com/google-research/text-to-text-transfer-transformer/blob/84f8bcc14b5f2c03de51bd3587609ba8f6bbd1cd/released_checkpoints.md)입니다.
한국어를 tokenize 하기 위해서 senten... | 3,122 | [
[
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0.0391845703125,
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-0.01018524169921875,
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0.0303955078125,
0.01904296875,
-0.0343017578125,
-0.0531005859375,
-0.05511474609375,
0.0186309814453... |
Michau/t5-base-en-generate-headline | 2021-06-23T03:17:34.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | Michau | null | null | Michau/t5-base-en-generate-headline | 50 | 13,180 | transformers | 2022-03-02T23:29:04 | ## About the model
The model has been trained on a collection of 500k articles with headings. Its purpose is to create a one-line heading suitable for the given article.
Sample code with a WikiNews article:
```python
import torch
from transformers import T5ForConditionalGeneration,T5Tokenizer
device = torch.device(... | 2,639 | [
[
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-0.0025615692138671875,
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-0.0038509368896484375,
0.023040771484375,
-0.0533447265625,
-0.046539306640625,
-0.03158569335... |
HuggingFaceH4/starchat-beta | 2023-06-09T10:18:22.000Z | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"gpt_bigcode",
"text-generation",
"generated_from_trainer",
"license:bigcode-openrail-m",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | HuggingFaceH4 | null | null | HuggingFaceH4/starchat-beta | 229 | 13,176 | transformers | 2023-06-07T11:23:47 | ---
tags:
- generated_from_trainer
widget:
- text: "How can I write a Python function to generate the nth Fibonacci number?"
- text: "How do I get the current date using shell commands? Explain how it works."
model-index:
- name: starchat-beta
results: []
license: bigcode-openrail-m
---
<img src="https://huggingfac... | 7,106 | [
[
-0.0307159423828125,
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0.01206207275390625,
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-0.027923583984375,
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0.01861572265625,
0.0299224853515625,
-0.035369873046875,
-0.040191650390625,
-0.054107666015... |
w11wo/indonesian-roberta-base-sentiment-classifier | 2023-05-13T04:10:11.000Z | [
"transformers",
"pytorch",
"tf",
"safetensors",
"roberta",
"text-classification",
"indonesian-roberta-base-sentiment-classifier",
"id",
"dataset:indonlu",
"arxiv:1907.11692",
"doi:10.57967/hf/0644",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | text-classification | w11wo | null | null | w11wo/indonesian-roberta-base-sentiment-classifier | 16 | 13,130 | transformers | 2022-03-02T23:29:05 | ---
language: id
tags:
- indonesian-roberta-base-sentiment-classifier
license: mit
datasets:
- indonlu
widget:
- text: "Jangan sampai saya telpon bos saya ya!"
---
## Indonesian RoBERTa Base Sentiment Classifier
Indonesian RoBERTa Base Sentiment Classifier is a sentiment-text-classification model based on the [... | 3,245 | [
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deepset/deberta-v3-large-squad2 | 2023-09-27T07:59:39.000Z | [
"transformers",
"pytorch",
"safetensors",
"deberta-v2",
"question-answering",
"deberta",
"deberta-v3",
"deberta-v3-large",
"en",
"dataset:squad_v2",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | question-answering | deepset | null | null | deepset/deberta-v3-large-squad2 | 43 | 13,049 | transformers | 2022-07-25T09:28:55 | ---
language: en
license: cc-by-4.0
tags:
- deberta
- deberta-v3
- deberta-v3-large
datasets:
- squad_v2
model-index:
- name: deepset/deberta-v3-large-squad2
results:
- task:
type: question-answering
name: Question Answering
dataset:
name: squad_v2
type: squad_v2
config: squad_v2
... | 8,065 | [
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damo-vilab/modelscope-damo-text-to-video-synthesis | 2023-03-29T02:40:04.000Z | [
"open_clip",
"text-to-video",
"license:cc-by-nc-4.0",
"has_space",
"region:us"
] | text-to-video | damo-vilab | null | null | damo-vilab/modelscope-damo-text-to-video-synthesis | 390 | 13,045 | open_clip | 2023-03-19T10:27:15 | ---
license: cc-by-nc-4.0
pipeline_tag: text-to-video
---
The original repo is [here](https://modelscope.cn/models/damo/text-to-video-synthesis/summary).
**We Are Hiring!** (Based in Beijing / Hangzhou, China.)
If you're looking for an exciting challenge and the opportunity to work with cutting-edge technologies in... | 5,489 | [
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flair/pos-english-fast | 2021-03-02T22:19:11.000Z | [
"flair",
"pytorch",
"token-classification",
"sequence-tagger-model",
"en",
"dataset:ontonotes",
"has_space",
"region:us"
] | token-classification | flair | null | null | flair/pos-english-fast | 5 | 13,021 | flair | 2022-03-02T23:29:05 | ---
tags:
- flair
- token-classification
- sequence-tagger-model
language: en
datasets:
- ontonotes
widget:
- text: "I love Berlin."
---
## English Part-of-Speech Tagging in Flair (fast model)
This is the fast part-of-speech tagging model for English that ships with [Flair](https://github.com/flairNLP/flair/).
F1-Sc... | 4,987 | [
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-0.035797119140625,... |
google/owlv2-base-patch16-ensemble | 2023-10-23T09:17:34.000Z | [
"transformers",
"pytorch",
"owlv2",
"zero-shot-object-detection",
"vision",
"object-detection",
"arxiv:2306.09683",
"license:apache-2.0",
"has_space",
"region:us"
] | object-detection | google | null | null | google/owlv2-base-patch16-ensemble | 9 | 13,010 | transformers | 2023-10-13T09:27:09 | ---
license: apache-2.0
tags:
- vision
- object-detection
inference: false
---
# Model Card: OWLv2
## Model Details
The OWLv2 model (short for Open-World Localization) was proposed in [Scaling Open-Vocabulary Object Detection](https://arxiv.org/abs/2306.09683) by Matthias Minderer, Alexey Gritsenko, Neil Houlsby. OW... | 4,826 | [
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0.031219482421875,
-0.0242767333984375,
-0.048004150390625,
-0.04733276367... |
hatmimoha/arabic-ner | 2023-04-11T12:02:29.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"token-classification",
"ar",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | token-classification | hatmimoha | null | null | hatmimoha/arabic-ner | 11 | 12,991 | transformers | 2022-03-02T23:29:05 | ---
language: ar
---
# Arabic Named Entity Recognition Model
Pretrained BERT-based ([arabic-bert-base](https://huggingface.co/asafaya/bert-base-arabic)) Named Entity Recognition model for Arabic.
The pre-trained model can recognize the following entities:
1. **PERSON**
- و هذا ما نفاه المعاون السياسي للرئيس ***نبيه... | 2,203 | [
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... |
cross-encoder/nli-MiniLM2-L6-H768 | 2021-08-05T08:40:39.000Z | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"MiniLMv2",
"zero-shot-classification",
"en",
"dataset:multi_nli",
"dataset:snli",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | zero-shot-classification | cross-encoder | null | null | cross-encoder/nli-MiniLM2-L6-H768 | 2 | 12,975 | transformers | 2022-03-02T23:29:05 | ---
language: en
pipeline_tag: zero-shot-classification
license: apache-2.0
tags:
- MiniLMv2
datasets:
- multi_nli
- snli
metrics:
- accuracy
---
# Cross-Encoder for Natural Language Inference
This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.net/examples/applicat... | 2,567 | [
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... |
microsoft/xclip-base-patch32 | 2022-10-12T11:31:02.000Z | [
"transformers",
"pytorch",
"xclip",
"vision",
"video-classification",
"en",
"arxiv:2208.02816",
"license:mit",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | video-classification | microsoft | null | null | microsoft/xclip-base-patch32 | 36 | 12,967 | transformers | 2022-08-25T13:06:15 | ---
language: en
license: mit
tags:
- vision
- video-classification
model-index:
- name: nielsr/xclip-base-patch32
results:
- task:
type: video-classification
dataset:
name: Kinetics 400
type: kinetics-400
metrics:
- type: top-1 accuracy
value: 80.4
- type: top-5 accuracy
... | 2,728 | [
[
-0.046356201171875,
-0.034637451171875,
0.02557373046875,
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0.025726318359375,
0.025146484375,
-0.06671142578125,
-0.047027587890625,
-0.060546875,
-0.016... |
TheBloke/Llama-2-7B-GPTQ | 2023-09-27T12:44:46.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-2",
"en",
"arxiv:2307.09288",
"license:llama2",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/Llama-2-7B-GPTQ | 64 | 12,943 | transformers | 2023-07-18T17:06:01 | ---
language:
- en
license: llama2
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
model_name: Llama 2 7B
base_model: meta-llama/Llama-2-7b-hf
inference: false
model_creator: Meta
model_type: llama
pipeline_tag: text-generation
prompt_template: '{prompt}
'
quantized_by: TheBloke
---
<!-- header start -->
<!-- 2... | 23,069 | [
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pankajmathur/model_007 | 2023-09-05T23:15:22.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"arxiv:2306.02707",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | pankajmathur | null | null | pankajmathur/model_007 | 21 | 12,938 | transformers | 2023-08-05T04:15:55 | ---
language:
- en
library_name: transformers
license: llama2
---
# model_007
A hybrid (explain + instruct) style Llama2-70b model, Pleae check examples below for both style prompts, Here is the list of datasets used:
* Open-Platypus
* Alpaca
* WizardLM
* Dolly-V2
* Dolphin Samples (~200K)
* Orca_minis_v1
* Alpaca_... | 5,617 | [
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-0.03955078125,
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timm/vit_base_patch14_dinov2.lvd142m | 2023-09-03T22:00:33.000Z | [
"timm",
"pytorch",
"safetensors",
"image-classification",
"arxiv:2304.07193",
"arxiv:2010.11929",
"license:apache-2.0",
"region:us"
] | image-classification | timm | null | null | timm/vit_base_patch14_dinov2.lvd142m | 0 | 12,934 | timm | 2023-05-09T20:48:20 | ---
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
---
# Model card for vit_base_patch14_dinov2.lvd142m
A Vision Transformer (ViT) image feature model. Pretrained on LVD-142M with self-supervised DINOv2 method.
## Model Details
- **Model Type:** Image classification / feature backbone
- *... | 3,985 | [
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-0.0399169921875,
-0.05145263671875,
-0.0049743652... |
pankajmathur/orca_mini_v3_13b | 2023-08-25T23:13:49.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:psmathur/orca_mini_v1_dataset",
"dataset:ehartford/dolphin",
"arxiv:2306.02707",
"license:other",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | pankajmathur | null | null | pankajmathur/orca_mini_v3_13b | 27 | 12,933 | transformers | 2023-08-09T04:01:33 | ---
language:
- en
library_name: transformers
license: other
datasets:
- psmathur/orca_mini_v1_dataset
- ehartford/dolphin
pipeline_tag: text-generation
---
# orca_mini_v3_13b
A Llama2-13b model trained on Orca Style datasets.
<br>
![orca-mini](https://huggingface.co/psmathur/orca_mini_v3_13b/resolve/main/orca_min... | 4,742 | [
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0.020111083984375,
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-0.054901123046875,
-0.04534912109375,
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... |
Helsinki-NLP/opus-mt-fi-de | 2023-08-16T11:34:22.000Z | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fi",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | translation | Helsinki-NLP | null | null | Helsinki-NLP/opus-mt-fi-de | 0 | 12,927 | transformers | 2022-03-02T23:29:04 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-de
* source languages: fi
* target languages: de
* OPUS readme: [fi-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | 818 | [
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0.03302001953125,
-0.050628662109375,
-0.03936767578125,
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0.01... |
allenai/led-base-16384 | 2023-01-24T16:26:59.000Z | [
"transformers",
"pytorch",
"tf",
"led",
"text2text-generation",
"en",
"arxiv:2004.05150",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | text2text-generation | allenai | null | null | allenai/led-base-16384 | 34 | 12,915 | transformers | 2022-03-02T23:29:05 | ---
language: en
license: apache-2.0
---
## Introduction
[Allenai's Longformer Encoder-Decoder (LED)](https://github.com/allenai/longformer#longformer).
As described in [Longformer: The Long-Document Transformer](https://arxiv.org/pdf/2004.05150.pdf) by Iz Beltagy, Matthew E. Peters, Arman Cohan, *led-base-16384* wa... | 862 | [
[
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0.0321044921875,
-0.0304107666015625,
-0.01320648193359375,
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0.01... |
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