modelId stringlengths 4 112 | sha stringlengths 40 40 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringclasses 29
values | private bool 1
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values | __index_level_0__ int64 0 38.5k | readme stringlengths 0 186k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
google/ncsnpp-ffhq-1024 | 0595d4b416a9f0df356d347ffd7e2d965d995d73 | 2022-07-21T15:03:54.000Z | [
"diffusers",
"arxiv:2011.13456",
"pytorch",
"unconditional-image-generation",
"license:apache-2.0"
] | unconditional-image-generation | false | google | null | google/ncsnpp-ffhq-1024 | 79 | 2 | diffusers | 5,100 | ---
license: apache-2.0
tags:
- pytorch
- diffusers
- unconditional-image-generation
---
# Score-Based Generative Modeling through Stochastic Differential Equations (SDE)
**Paper**: [Score-Based Generative Modeling through Stochastic Differential Equations](https://arxiv.org/abs/2011.13456)
**Authors**: Yang Song, J... |
pinot/wav2vec2-large-xls-r-300m-j-roman-colab | 8bdac2ba3a7395b5e0a37a96588e5628abd6e9a1 | 2022-07-28T22:28:51.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | pinot | null | pinot/wav2vec2-large-xls-r-300m-j-roman-colab | 79 | null | transformers | 5,101 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-j-roman-colab
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, the... |
Giuliano/places | 81b8df40e05d96dfad040f54da85a2df0151dea9 | 2021-07-02T18:31:41.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | Giuliano | null | Giuliano/places | 78 | null | transformers | 5,102 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: places
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 1.0
---
# places
Autogenerated by HuggingPics🤗🖼️... |
Gunulhona/tbstmodel | 07b6891f8b2c6d855e27d2d660844f7aa8af0330 | 2021-12-29T01:23:20.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Gunulhona | null | Gunulhona/tbstmodel | 78 | null | transformers | 5,103 | Entry not found |
Helsinki-NLP/opus-mt-lg-en | b75b8c1f7d54cec6d83b364581dfef355c191327 | 2021-09-10T13:54:39.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lg",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lg-en | 78 | 1 | transformers | 5,104 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lg-en
* source languages: lg
* target languages: en
* OPUS readme: [lg-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lg-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-pl-ar | 0284a0a28fef5f4a87984e1887a6fd64cdb58604 | 2020-08-21T14:42:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"pl",
"ar",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-pl-ar | 78 | null | transformers | 5,105 | ---
language:
- pl
- ar
tags:
- translation
license: apache-2.0
---
### pol-ara
* source group: Polish
* target group: Arabic
* OPUS readme: [pol-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-ara/README.md)
* model: transformer
* source language(s): pol
* target language(s): ar... |
Helsinki-NLP/opus-mt-zh-it | 436e288f84955869e282784cfb0af0552f4bed30 | 2020-08-21T14:42:52.000Z | [
"pytorch",
"marian",
"text2text-generation",
"zh",
"it",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-zh-it | 78 | null | transformers | 5,106 | ---
language:
- zh
- it
tags:
- translation
license: apache-2.0
---
### zho-ita
* source group: Chinese
* target group: Italian
* OPUS readme: [zho-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-ita/README.md)
* model: transformer-align
* source language(s): cmn cmn_Bopo cmn_Han... |
NhatPham/vit-base-patch16-224-recylce-ft | e9c0a3e0c5bc0717971d554a13a02aec201f6866 | 2022-05-27T07:50:32.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | NhatPham | null | NhatPham/vit-base-patch16-224-recylce-ft | 78 | null | transformers | 5,107 | ---
license: apache-2.0
tags:
- image-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vit-base-patch16-224
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... |
SEBIS/code_trans_t5_small_code_comment_generation_java_transfer_learning_finetune | 06d544ab76d8a7fc6e79fce7fac4f75c25d72da4 | 2021-06-23T09:57:45.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_small_code_comment_generation_java_transfer_learning_finetune | 78 | null | transformers | 5,108 | ---
tags:
- summarization
widget:
- text: "protected String renderUri ( URI uri ) { return uri . toASCIIString ( ) ; }"
---
# CodeTrans model for code comment generation java
Pretrained model on programming language java using the t5 small model architecture. It was first released in
[this repository](https://github... |
SkolkovoInstitute/bart-base-detox | d0177c30f5da99f6e5056a498f71201b8bd41c07 | 2022-05-18T18:35:54.000Z | [
"pytorch",
"bart",
"text2text-generation",
"en",
"transformers",
"detoxification",
"autotrain_compatible"
] | text2text-generation | false | SkolkovoInstitute | null | SkolkovoInstitute/bart-base-detox | 78 | null | transformers | 5,109 | ---
language:
- en
tags:
- detoxification
licenses:
- cc-by-nc-sa
---
**Model Overview**
This is the model presented in the paper ["ParaDetox: Detoxification with Parallel Data"](https://aclanthology.org/2022.acl-long.469/).
The model itself is [BART (base)](https://huggingface.co/facebook/bart-base) model train... |
andi611/bert-large-uncased-whole-word-masking-ner-conll2003 | dc687912d610f00c92910c775ec1d31f17134901 | 2021-10-05T16:13:52.000Z | [
"pytorch",
"bert",
"token-classification",
"en",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | andi611 | null | andi611/bert-large-uncased-whole-word-masking-ner-conll2003 | 78 | null | transformers | 5,110 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model_index:
- name: bert-large-uncased-whole-word-masking-ner-conll2003
results:
- task:
name: Token Classification
type: token-classification
dataset:
nam... |
black/simple_kitchen | 2b141f3569aa0bb39337c4691d5ca9cd8d2302db | 2021-08-19T14:26:04.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | black | null | black/simple_kitchen | 78 | null | transformers | 5,111 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: simple_kitchen
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.7222222089767456
---
# simple_kitchen
Au... |
facebook/convnext-xlarge-224-22k | fc6b9974e8ce68f2880a5ff3589a90556e34e332 | 2022-02-26T12:20:17.000Z | [
"pytorch",
"tf",
"convnext",
"image-classification",
"dataset:imagenet-21k",
"arxiv:2201.03545",
"transformers",
"vision",
"license:apache-2.0"
] | image-classification | false | facebook | null | facebook/convnext-xlarge-224-22k | 78 | null | transformers | 5,112 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-21k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: http... |
firebolt/llama_or_what2 | eeaf4ce35822e82b6e55ff6d96730444fc41373f | 2021-07-31T19:52:32.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | firebolt | null | firebolt/llama_or_what2 | 78 | null | transformers | 5,113 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: llama_or_what2
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.4166666567325592
---
# llama_or_what2
Au... |
mmoradi/Robust-Biomed-RoBERTa-SemanticSimilarity | 215a7ecbbfe7d585fb1c4b4c692e88b02656f2a2 | 2021-10-07T10:35:43.000Z | [
"pytorch",
"jax",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | mmoradi | null | mmoradi/Robust-Biomed-RoBERTa-SemanticSimilarity | 78 | 1 | transformers | 5,114 | Entry not found |
nateraw/rare-puppers | 799e0a1833084ef4db11afadce85b0dedc509a84 | 2021-07-01T18:21:41.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | nateraw | null | nateraw/rare-puppers | 78 | 1 | transformers | 5,115 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: rare-puppers
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9583333134651184
---
# rare-puppers
Autoge... |
nreimers/MiniLMv2-L6-H384-distilled-from-BERT-Base | c6e1ca8b53c20e96e637e276ab9e3d6d754ebfd3 | 2021-06-20T19:01:52.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | nreimers | null | nreimers/MiniLMv2-L6-H384-distilled-from-BERT-Base | 78 | null | transformers | 5,116 | # MiniLMv2
This is a MiniLMv2 model from: [https://github.com/microsoft/unilm](https://github.com/microsoft/unilm/tree/master/minilm) |
sentence-transformers/gtr-t5-xxl | 1431e7c1a9f4bf061070434127e055edce49313b | 2022-02-09T11:14:39.000Z | [
"pytorch",
"t5",
"en",
"arxiv:2112.07899",
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | sentence-similarity | false | sentence-transformers | null | sentence-transformers/gtr-t5-xxl | 78 | null | sentence-transformers | 5,117 | ---
pipeline_tag: sentence-similarity
language: en
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/gtr-t5-xxl
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dim... |
lazyturtl/digital | cd165e98717597209f812cc588edd09fe6f79fcc | 2022-03-24T04:28:50.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | lazyturtl | null | lazyturtl/digital | 78 | null | transformers | 5,118 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: digital
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.8974359035491943
---
# digital
## Example Imag... |
thapasushil/vit-base-cifar10 | 72f36dc15652adfefe90a6bb97d2100c99ff40cf | 2022-04-12T17:16:29.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | thapasushil | null | thapasushil/vit-base-cifar10 | 78 | null | transformers | 5,119 | ---
license: apache-2.0
tags:
- image-classification
- generated_from_trainer
model-index:
- name: vit-base-cifar10
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 this comment. --... |
daveni/upside_down_classifier | 2c08ec90176988347efe236bdacff435171361ab | 2022-04-10T12:08:07.000Z | [
"pytorch",
"vit",
"image-classification",
"dataset:cifar100",
"transformers"
] | image-classification | false | daveni | null | daveni/upside_down_classifier | 78 | null | transformers | 5,120 | ---
datasets:
- cifar100
widget:
- src: https://huggingface.co/daveni/upside_down_classifier/resolve/main/meme_upside_down.jpg
example_title: Upside down example
- src: https://huggingface.co/daveni/upside_down_classifier/resolve/main/meme.jpg
example_title: Original example
---
# Upside Down Classifier |
jemole/swin-tiny-patch4-window7-224-finetuned-eurosat | a1f41811e33e1ab6efd30a6a89e049fe151cb48c | 2022-04-24T13:53:19.000Z | [
"pytorch",
"tensorboard",
"swin",
"image-classification",
"dataset:image_folder",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | jemole | null | jemole/swin-tiny-patch4-window7-224-finetuned-eurosat | 78 | null | transformers | 5,121 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- image_folder
metrics:
- accuracy
model-index:
- name: swin-tiny-patch4-window7-224-finetuned-eurosat
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: image_folder
type: image_folder
... |
driboune/skin_type | 08f21724116d7f2f661e03166df00176da24ffb9 | 2022-05-02T08:08:40.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | driboune | null | driboune/skin_type | 78 | null | transformers | 5,122 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: skin_type
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.8222222328186035
---
# skin_type
Aiming for fai... |
ipvikas/rare-puppers | 593bb29831fef62d847eb7f487c39eead3df6b08 | 2022-05-15T12:47:13.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | ipvikas | null | ipvikas/rare-puppers | 78 | null | transformers | 5,123 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: rare-puppers
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9552238583564758
---
# rare-puppers
Autoge... |
Ahmed9275/ALL-94.5 | 9da59ee89aef0f1937aeeb061b7d31e93892a3cf | 2022-05-06T01:39:35.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | Ahmed9275 | null | Ahmed9275/ALL-94.5 | 78 | null | transformers | 5,124 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: ALL-94.5
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9452415704727173
---
# ALL-94.5
Autogenerated ... |
AykeeSalazar/vc-bantai-vit-withoutAMBI | 53431cc0db9ae3b3639b691837ab8b79ec5131ac | 2022-05-22T06:14:09.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"dataset:image_folder",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | AykeeSalazar | null | AykeeSalazar/vc-bantai-vit-withoutAMBI | 78 | null | transformers | 5,125 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- image_folder
model-index:
- name: vc-bantai-vit-withoutAMBI
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 this ... |
Vemi/orchid219_ft_vit-large-patch16-224-in21k-finetuned-eurosat | 88895aa12954d1b7de1581a592bd0404aaef56dc | 2022-05-23T02:56:12.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"dataset:image_folder",
"transformers",
"generated_from_trainer",
"model-index"
] | image-classification | false | Vemi | null | Vemi/orchid219_ft_vit-large-patch16-224-in21k-finetuned-eurosat | 78 | null | transformers | 5,126 | ---
tags:
- generated_from_trainer
datasets:
- image_folder
metrics:
- accuracy
model-index:
- name: orchid219_ft_vit-large-patch16-224-in21k-finetuned-eurosat
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: image_folder
type: image_folder
args... |
promobot/labse-ru | 77e6b16ebb486181db603cac424ce3d3048becf1 | 2022-06-07T06:42:01.000Z | [
"pytorch",
"tf",
"bert",
"feature-extraction",
"ru",
"transformers",
"sentence-similarity",
"license:apache-2.0"
] | feature-extraction | false | promobot | null | promobot/labse-ru | 78 | 0 | transformers | 5,127 | ---
language: ["ru"]
pipeline_tag: feature-extraction
tags:
- feature-extraction
- sentence-similarity
license: apache-2.0
--- |
nvidia/stt_de_conformer_ctc_large | 38c37994f4b424d5307f8ad4cc8955154c0914d6 | 2022-07-01T01:46:17.000Z | [
"nemo",
"de",
"dataset:VoxPopuli (DE)",
"dataset:Multilingual LibriSpeech",
"dataset:mozilla-foundation/common_voice_7_0",
"arxiv:2005.08100",
"automatic-speech-recognition",
"speech",
"audio",
"CTC",
"Conformer",
"Transformer",
"pytorch",
"NeMo",
"hf-asr-leaderboard",
"Riva",
"licen... | automatic-speech-recognition | false | nvidia | null | nvidia/stt_de_conformer_ctc_large | 78 | 3 | nemo | 5,128 | ---
language:
- de
library_name: nemo
datasets:
- VoxPopuli (DE)
- Multilingual LibriSpeech
- mozilla-foundation/common_voice_7_0
thumbnail: null
tags:
- automatic-speech-recognition
- speech
- audio
- CTC
- Conformer
- Transformer
- pytorch
- NeMo
- hf-asr-leaderboard
- Riva
license: cc-by-4.0
widget:
- example_title... |
Akari/albert-base-v2-finetuned-squad | cc24dc48164a747296f80f831cc9353e2470705e | 2021-12-02T05:36:13.000Z | [
"pytorch",
"tensorboard",
"albert",
"question-answering",
"dataset:squad_v2",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | Akari | null | Akari/albert-base-v2-finetuned-squad | 77 | 1 | transformers | 5,129 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: albert-base-v2-finetuned-squad
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 this... |
DaNLP/da-bert-hatespeech-classification | 19fdf618a20faf5f8a16cb7c14b02f72d33df94b | 2021-11-15T14:48:18.000Z | [
"pytorch",
"tf",
"bert",
"text-classification",
"da",
"dataset:social media",
"transformers",
"hatespeech",
"license:cc-by-sa-4.0"
] | text-classification | false | DaNLP | null | DaNLP/da-bert-hatespeech-classification | 77 | null | transformers | 5,130 | ---
language:
- da
tags:
- bert
- pytorch
- hatespeech
license: cc-by-sa-4.0
datasets:
- social media
metrics:
- f1
widget:
- text: "Senile gamle idiot"
---
# Danish BERT for hate speech classification
The BERT HateSpeech model classifies offensive Danish text into 4 categories:
* `Særlig opmærksomhed` (special att... |
Helsinki-NLP/opus-mt-ru-sl | 5e8617a9d176263e6617a703ee5c6748ce9a701f | 2020-08-21T14:42:49.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ru",
"sl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ru-sl | 77 | null | transformers | 5,131 | ---
language:
- ru
- sl
tags:
- translation
license: apache-2.0
---
### rus-slv
* source group: Russian
* target group: Slovenian
* OPUS readme: [rus-slv](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-slv/README.md)
* model: transformer-align
* source language(s): rus
* target langu... |
Helsinki-NLP/opus-mt-rw-en | 61ede64e3ceefce455d41fc85749314baa49a0ee | 2021-09-10T14:02:47.000Z | [
"pytorch",
"marian",
"text2text-generation",
"rw",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-rw-en | 77 | null | transformers | 5,132 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-rw-en
* source languages: rw
* target languages: en
* OPUS readme: [rw-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/rw-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Neto71/sea_mammals | fcc3edae3c90e7e2421a7fa5f692c41428dfb475 | 2021-07-05T13:14:43.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | Neto71 | null | Neto71/sea_mammals | 77 | null | transformers | 5,133 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: sea_mammals
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.8472222089767456
---
# sea_mammals
Autogene... |
Sena/flowers | 7a080c96ceca25dcff4cf40f5677242d7f4074fa | 2021-07-04T14:10:45.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | Sena | null | Sena/flowers | 77 | null | transformers | 5,134 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: flowers
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.6041666865348816
---
# flowers
Autogenerated by... |
TransQuest/monotransquest-hter-en_any | bf27886d123a86dc6de009c08860b0af880ffb89 | 2021-10-24T18:41:16.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"en-multilingual",
"transformers",
"Quality Estimation",
"monotransquest",
"HTER",
"license:apache-2.0"
] | text-classification | false | TransQuest | null | TransQuest/monotransquest-hter-en_any | 77 | null | transformers | 5,135 | ---
language: en-multilingual
tags:
- Quality Estimation
- monotransquest
- HTER
license: apache-2.0
---
# TransQuest: Translation Quality Estimation with Cross-lingual Transformers
The goal of quality estimation (QE) is to evaluate the quality of a translation without having access to a reference translation. High-a... |
airKlizz/mt5-base-wikinewssum-french | 55180f3c443ac6d1c489a3a73757b3086c174093 | 2021-12-24T14:42:37.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | airKlizz | null | airKlizz/mt5-base-wikinewssum-french | 77 | null | transformers | 5,136 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-base-wikinewssum-french
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 re... |
castorini/mdpr-passage-nq | d0edbcc0c8a55011086e4c2ab73a99c412d0a819 | 2021-08-20T15:21:30.000Z | [
"pytorch",
"dpr",
"transformers"
] | null | false | castorini | null | castorini/mdpr-passage-nq | 77 | 1 | transformers | 5,137 | Entry not found |
echarlaix/bart-base-cnn-r2-18.7-d23-hybrid | 89e3e2f99f0ceafaa00ee86e5cff969010b8c5cf | 2021-08-20T09:58:11.000Z | [
"pytorch",
"bart",
"text2text-generation",
"en",
"dataset:cnn_dailymail",
"transformers",
"summarization",
"license:apache-2.0",
"autotrain_compatible"
] | summarization | false | echarlaix | null | echarlaix/bart-base-cnn-r2-18.7-d23-hybrid | 77 | null | transformers | 5,138 | ---
language: en
license: apache-2.0
tags:
- summarization
datasets:
- cnn_dailymail
metrics:
- R1
- R2
- RL
---
## facebook/bart-base model fine-tuned on CNN/DailyMail
This model was created using the [nn_pruning](https://github.com/huggingface/nn_pruning) python library: the linear layers contains **23%** of the or... |
facebook/wav2vec2-base-10k-voxpopuli-ft-en | 328f7961ee96d2db3af8bbd22c685f5dd96f9692 | 2021-07-06T01:49:07.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"en",
"arxiv:2101.00390",
"transformers",
"audio",
"voxpopuli",
"license:cc-by-nc-4.0"
] | automatic-speech-recognition | false | facebook | null | facebook/wav2vec2-base-10k-voxpopuli-ft-en | 77 | null | transformers | 5,139 | ---
language: en
tags:
- audio
- automatic-speech-recognition
- voxpopuli
license: cc-by-nc-4.0
---
# Wav2Vec2-Base-VoxPopuli-Finetuned
[Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/) base model pretrained on the 10K unlabeled subset of [VoxPopuli corpus... |
indobenchmark/indobert-lite-large-p2 | 14818646c71e898fe71351d12a1dc9fe1bf39ba5 | 2020-12-11T21:45:59.000Z | [
"pytorch",
"tf",
"albert",
"feature-extraction",
"id",
"dataset:Indo4B",
"arxiv:2009.05387",
"transformers",
"indobert",
"indobenchmark",
"indonlu",
"license:mit"
] | feature-extraction | false | indobenchmark | null | indobenchmark/indobert-lite-large-p2 | 77 | null | transformers | 5,140 | ---
language: id
tags:
- indobert
- indobenchmark
- indonlu
license: mit
inference: false
datasets:
- Indo4B
---
# IndoBERT-Lite Large Model (phase2 - uncased)
[IndoBERT](https://arxiv.org/abs/2009.05387) is a state-of-the-art language model for Indonesian based on the BERT model. The pretrained model is trained usin... |
lincoln/barthez-squadFR-fquad-piaf-question-generation | 0e0ece03c9519ae7ae097714d10e8a203b34b34d | 2021-10-11T15:24:58.000Z | [
"pytorch",
"mbart",
"text2text-generation",
"fr",
"dataset:squadFR",
"dataset:fquad",
"dataset:piaf",
"arxiv:2010.12321",
"transformers",
"seq2seq",
"barthez",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | lincoln | null | lincoln/barthez-squadFR-fquad-piaf-question-generation | 77 | 2 | transformers | 5,141 | ---
language:
- fr
license: mit
pipeline_tag: "text2text-generation"
datasets:
- squadFR
- fquad
- piaf
metrics:
- bleu
- rouge
widget:
- text: "La science des données est un domaine interdisciplinaire qui utilise des méthodes, des processus, des algorithmes et des systèmes scientifiques pour extrai... |
macedonizer/hr-roberta-base | 16cb3b1be4f0e27db649b0e9fb789ec4a29493aa | 2021-09-22T08:58:43.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"hr",
"dataset:wiki-hr",
"transformers",
"masked-lm",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | macedonizer | null | macedonizer/hr-roberta-base | 77 | 1 | transformers | 5,142 | ---
language:
- hr
thumbnail: https://huggingface.co/macedonizer/hr-roberta-base/ivo-andric.jpg
tags:
- masked-lm
license: apache-2.0
datasets:
- wiki-hr
---
# HR-RoBERTa base model
Pretrained model on Macedonian language using a masked language modeling (MLM) objective. It was introduced in this paper and first relea... |
nateraw/baked-goods | 7a9e8cc833a401404a6f752336275c94423f7479 | 2021-06-30T07:11:09.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | nateraw | null | nateraw/baked-goods | 77 | null | transformers | 5,143 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: baked-goods
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.875
---
# baked-goods
Autogenerated by Hugg... |
nateraw/ex-for-evan | 7b15f15ff925539baa48729cedd6dd1d78dd138f | 2021-09-18T22:20:05.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | nateraw | null | nateraw/ex-for-evan | 77 | null | transformers | 5,144 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: ex-for-evan
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9791666865348816
---
# ex-for-evan
Autogene... |
nateraw/vit-base-beans-demo-v2 | 224661166c75ca3a6f14c79ade1848723a9f9ede | 2021-08-27T17:33:08.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"dataset:beans",
"transformers",
"other-image-classification",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | nateraw | null | nateraw/vit-base-beans-demo-v2 | 77 | null | transformers | 5,145 | ---
license: apache-2.0
tags:
- image-classification
- other-image-classification
- generated_from_trainer
datasets:
- beans
metrics:
- accuracy
model-index:
- name: vit-base-beans-demo-v2
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: beans
type: b... |
ozcangundes/wav2vec2-large-xlsr-53-turkish | 2993cf6895d0369dbddb96a28f0bafda2cc60343 | 2021-04-02T14:54:49.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"tr",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | ozcangundes | null | ozcangundes/wav2vec2-large-xlsr-53-turkish | 77 | 1 | transformers | 5,146 | ---
language:
- tr
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Ozcan Gundes XLSR Wav2Vec2 Large Turkish
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
... |
peterbonnesoeur/Visual_transformer_chihuahua_cookies | 0d64f408539e5983424b945386bbd2f10c154bea | 2021-07-02T11:29:45.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | peterbonnesoeur | null | peterbonnesoeur/Visual_transformer_chihuahua_cookies | 77 | null | transformers | 5,147 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: Visual_transformer_chihuahua_cookies
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9375
---
# Visual_tr... |
sberbank-ai/ruclip-vit-base-patch16-224 | bfba4ada5bd6bc10d1b4e42deef0770f5c38388e | 2022-01-09T21:34:11.000Z | [
"pytorch",
"transformers"
] | null | false | sberbank-ai | null | sberbank-ai/ruclip-vit-base-patch16-224 | 77 | null | transformers | 5,148 | # ruclip-vit-base-patch16-224
**RuCLIP** (**Ru**ssian **C**ontrastive **L**anguage–**I**mage **P**retraining) is a multimodal model
for obtaining images and text similarities and rearranging captions and pictures.
RuCLIP builds on a large body of work on zero-shot transfer, computer vision, natural language processi... |
simonlevine/clinical-longformer | ff576e64e4a788b329bd75987e18240ed5752f22 | 2021-05-20T21:25:09.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | simonlevine | null | simonlevine/clinical-longformer | 77 | null | transformers | 5,149 | - You'll need to instantiate a special RoBERTa class. Though technically a "Longformer", the elongated RoBERTa model will still need to be pulled in as such.
- To do so, use the following classes:
```python
class RobertaLongSelfAttention(LongformerSelfAttention):
def forward(
self,
hidden_states,
... |
meame2010/rare-puppers | 566d1b12a7ae078d04bbf59dc491c23ee4e4ad1e | 2022-03-07T00:03:06.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | meame2010 | null | meame2010/rare-puppers | 77 | null | transformers | 5,150 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: rare-puppers
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.644444465637207
---
# rare-puppers
Autogen... |
Thanakrit/wangchanberta-th-QA | a84118efcaac38c79f30b93d44e4a375de3fcaf6 | 2022-03-26T13:49:54.000Z | [
"pytorch",
"camembert",
"question-answering",
"thai",
"th",
"dataset:thaiqa_squad",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | Thanakrit | null | Thanakrit/wangchanberta-th-QA | 77 | null | transformers | 5,151 | ---
tags:
- generated_from_trainer
language:
- thai
- th
datasets:
- thaiqa_squad
model-index:
- name: wangchanberta-base-att-spm-uncased-finetuned-th-squad
results: []
widget:
- text: "เฝิง เส้าเฟิง รับบทอะไรใน The Palace"
context: "เฝิง เส้าเฟิง เฝิง เส้าเฟิง หรือ วิลเลี่ยม เฝิง (; ชื่อภาษาอังกฤษ: William Feng, ... |
osanseviero/llama-alpaca-snake | 56d73fd4594b1aaa96869f0c8cc4792656b50402 | 2022-04-01T09:45:01.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"llama-leaderboard",
"model-index"
] | image-classification | false | osanseviero | null | osanseviero/llama-alpaca-snake | 77 | null | transformers | 5,152 | ---
tags:
- image-classification
- pytorch
- huggingpics
- llama-leaderboard
metrics:
- accuracy
model-index:
- name: llama-alpaca-snake
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.7910447716712952
--... |
jmarshall/rare-puppers | d3eba330bc27b280adc819729eebcbd1ddd32aad | 2022-04-20T14:45:23.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | jmarshall | null | jmarshall/rare-puppers | 77 | null | transformers | 5,153 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: rare-puppers
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9402984976768494
---
# rare-puppers
Autoge... |
Ahmed9275/ALL-2 | 609860d67be98a48e1073c55db9da3afc6004422 | 2022-04-28T02:07:25.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | Ahmed9275 | null | Ahmed9275/ALL-2 | 77 | 1 | transformers | 5,154 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: ALL-2
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9855383038520813
---
# ALL-2
Autogenerated by Hug... |
firas-spanioli/beer-whisky-wine-detection | 1421666a41dafec2956a1d94e7b56083134fdbee | 2022-05-11T11:38:38.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | firas-spanioli | null | firas-spanioli/beer-whisky-wine-detection | 77 | null | transformers | 5,155 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: beer-whisky-wine-detection
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9701492786407471
---
# beer-wh... |
utkarshsaboo45/ClearlyDefinedLicenseSummarizer | 954497f0c6592506a9223a87160e9e38dc8cc95a | 2022-05-27T23:18:06.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | utkarshsaboo45 | null | utkarshsaboo45/ClearlyDefinedLicenseSummarizer | 77 | null | transformers | 5,156 | ---
license: mit
---
|
smc/electric_pole_type_classification | 14ee7ca59552f2118afe5e796dca834eb281eefd | 2022-05-23T20:11:01.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | smc | null | smc/electric_pole_type_classification | 77 | 1 | transformers | 5,157 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: electric_pole_type_classification
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.8571428656578064
---
# ... |
Gods/discord_test | 787e73cc2b5e10ab663f407787042253828a4aa2 | 2022-06-27T13:26:01.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | Gods | null | Gods/discord_test | 77 | null | transformers | 5,158 | Entry not found |
robingeibel/reformer-finetuned | 10f24ed84d07de39a3f4d9a30df5c386a367a87f | 2022-07-04T07:11:33.000Z | [
"pytorch",
"tensorboard",
"reformer",
"fill-mask",
"dataset:big_patent",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | fill-mask | false | robingeibel | null | robingeibel/reformer-finetuned | 77 | null | transformers | 5,159 | ---
tags:
- generated_from_trainer
datasets:
- big_patent
model-index:
- name: reformer-finetuned
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 this comment. -->
# reformer-fine... |
Aftabhussain/Tomato_Leaf_Classifier | d1b535f6a8f2c556e358236ab0dbe1c5087ff0e3 | 2021-09-13T04:14:44.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | Aftabhussain | null | Aftabhussain/Tomato_Leaf_Classifier | 76 | null | transformers | 5,160 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: Tomato_Leaf_Classifier
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 1.0
---
# Tomato_Leaf_Classifier
A... |
DeepPavlov/roberta-large-winogrande | 74b9e8bb2314ca9f440eb14de45fa3a29ae0f5dc | 2021-12-24T14:20:49.000Z | [
"pytorch",
"roberta",
"text-classification",
"en",
"dataset:winogrande",
"arxiv:1907.11692",
"transformers"
] | text-classification | false | DeepPavlov | null | DeepPavlov/roberta-large-winogrande | 76 | null | transformers | 5,161 | ---
language:
- en
datasets:
- winogrande
widget:
- text: "The roof of Rachel's home is old and falling apart, while Betty's is new. The home value of </s> Rachel is lower."
- text: "The wooden doors at my friends work are worse than the wooden desks at my work, because the </s> desks material is cheaper."
- text: "P... |
Emanuel/twitter-emotion-deberta-v3-base | c83e7be5802e7f2687eedff0786491ea6e8e43ea | 2022-07-13T12:37:26.000Z | [
"pytorch",
"tensorboard",
"deberta-v2",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Emanuel | null | Emanuel/twitter-emotion-deberta-v3-base | 76 | null | transformers | 5,162 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: twitter-emotion-deberta-v3-base
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
... |
JorgeSarry/est5-summarize | 994786697eef7d23732b20f8875c0b7e52428baa | 2021-10-03T18:22:58.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"es",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | JorgeSarry | null | JorgeSarry/est5-summarize | 76 | null | transformers | 5,163 | ---
language: es
---
This is a smaller version of the google/mt5-base model with only Spanish and some English embeddings trained on 60k Spanish MLSum for summarization.
You can use it with the command "summarize:"
|
LilaBoualili/bert-vanilla | 923ae4df2a59683465eb6520158ca0b27b6f02eb | 2021-05-18T21:27:42.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | LilaBoualili | null | LilaBoualili/bert-vanilla | 76 | null | transformers | 5,164 | At its core it uses a BERT-Base model (bert-base-uncased) fine-tuned on the MS MARCO passage classification task. It can be loaded using the TF/AutoModelForSequenceClassification classes.
Refer to our [github repository](https://github.com/BOUALILILila/ExactMatchMarking) for a usage example for ad hoc ranking. |
akivo4ka/ruGPT3medium_psy | 8282334d7ddd903306ad1631ef43a59e5aecf776 | 2021-05-21T12:41:38.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | akivo4ka | null | akivo4ka/ruGPT3medium_psy | 76 | null | transformers | 5,165 | Entry not found |
asafaya/albert-xlarge-arabic | 3530341360b689496bee04eb743a2c37a7043a34 | 2022-02-11T13:52:49.000Z | [
"pytorch",
"tf",
"albert",
"fill-mask",
"ar",
"dataset:oscar",
"dataset:wikipedia",
"transformers",
"masked-lm",
"autotrain_compatible"
] | fill-mask | false | asafaya | null | asafaya/albert-xlarge-arabic | 76 | null | transformers | 5,166 | ---
language: ar
datasets:
- oscar
- wikipedia
tags:
- ar
- masked-lm
---
# Arabic-ALBERT Xlarge
Arabic edition of ALBERT Xlarge pretrained language model
_If you use any of these models in your work, please cite this work as:_
```
@software{ali_safaya_2020_4718724,
author = {Ali Safaya},
title = ... |
castorini/ance-dpr-question-multi | f977e296f80af577fc70728f5d45917e57f6ef3c | 2021-04-21T01:36:24.000Z | [
"pytorch",
"dpr",
"feature-extraction",
"arxiv:2007.00808",
"transformers"
] | feature-extraction | false | castorini | null | castorini/ance-dpr-question-multi | 76 | null | transformers | 5,167 | This model is converted from the original ANCE [repo](https://github.com/microsoft/ANCE) and fitted into Pyserini:
> Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul Bennett, Junaid Ahmed, Arnold Overwijk. [Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval](https://arx... |
chinhon/pegasus-newsroom-headline_writer | 2a18c38965b0016f5b451ebc0009b8d9b6815e39 | 2021-10-28T11:13:58.000Z | [
"pytorch",
"tensorboard",
"pegasus",
"text2text-generation",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | chinhon | null | chinhon/pegasus-newsroom-headline_writer | 76 | 2 | transformers | 5,168 | ---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pegasus-newsroom-headline_writer
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 this comment. -->
# pegas... |
dog/rare-puppers | a947e18c081a4a980f0e0b71dfba55a2ca482c31 | 2021-11-10T03:41:31.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | dog | null | dog/rare-puppers | 76 | null | transformers | 5,169 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: rare-puppers
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.8651685118675232
---
# rare-puppers
Autoge... |
eliwill/rare-puppers | 3d4139fb96a966fe8fb18664ff423204b59da83c | 2022-01-08T01:40:43.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | eliwill | null | eliwill/rare-puppers | 76 | null | transformers | 5,170 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: rare-puppers
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.4895833432674408
---
# rare-puppers
Autoge... |
filipafcastro/beer_vs_wine | c82ba21b4808761433e14f5f8d894f66a184a0a4 | 2021-11-05T10:55:21.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | filipafcastro | null | filipafcastro/beer_vs_wine | 76 | null | transformers | 5,171 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: beer_vs_wine
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9777777791023254
---
# beer_vs_wine
Autoge... |
gaetangate/bart-large_genrl_lcquad2 | cee4f63bb6449eb54b64e677acbd17432d613685 | 2022-04-05T15:10:15.000Z | [
"pytorch",
"bart",
"text2text-generation",
"arxiv:2108.07337",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | gaetangate | null | gaetangate/bart-large_genrl_lcquad2 | 76 | null | transformers | 5,172 | ---
license: apache-2.0
---
This model is used in the paper **Generative Relation Linking for Question Answering over Knowledge Bases**. [ArXiv](https://arxiv.org/abs/2108.07337), [GitHub](https://github.com/IBM/kbqa-relation-linking)
## Citation
```bibtex
@inproceedings{rossiello-genrl-2021,
title={Generat... |
gustavecortal/gpt-neo-2.7B-8bit | c4cdf336f9dbf6fd96d152927d52f64f59ca788f | 2022-03-04T10:33:18.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"en",
"dataset:The Pile",
"transformers",
"causal-lm",
"license:mit"
] | text-generation | false | gustavecortal | null | gustavecortal/gpt-neo-2.7B-8bit | 76 | 3 | transformers | 5,173 | ---
language: en
license: mit
tags:
- causal-lm
datasets:
- The Pile
---
### Quantized EleutherAI/gpt-neo-2.7B with 8-bit weights
This is a version of [EleutherAI's GPT-Neo](https://huggingface.co/EleutherAI/gpt-neo-2.7B) with 2.7 billion parameters that is modified so you can generate **and fine-tune the model in c... |
huggingtweets/barackobama | 6214faa24a909765d32267eefd454765cc7d94fe | 2022-07-05T22:19:20.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/barackobama | 76 | null | transformers | 5,174 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4... |
mrm8488/vit-base-patch16-224_finetuned-pneumothorax | 2afcf5cc3699938505192630ae862faecc3b250b | 2021-09-15T08:43:39.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers"
] | image-classification | false | mrm8488 | null | mrm8488/vit-base-patch16-224_finetuned-pneumothorax | 76 | 1 | transformers | 5,175 | Entry not found |
nateraw/huggingpics-package-demo-2 | 5db84577de0048ff5aca0370ac3a40ef3461334f | 2021-11-09T21:00:52.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"generated_from_trainer",
"license:apache-2.0"
] | image-classification | false | nateraw | null | nateraw/huggingpics-package-demo-2 | 76 | null | transformers | 5,176 | ---
license: apache-2.0
tags:
- image-classification
- huggingpics
- generated_from_trainer
---
<!-- 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 this comment. -->
# huggingpics-package-demo-2
This... |
nateraw/rare-puppers-new-auth | b0164e59c4986fea737a7abb22caf034d8a15492 | 2021-12-10T20:51:18.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | nateraw | null | nateraw/rare-puppers-new-auth | 76 | null | transformers | 5,177 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: rare-puppers-new-auth
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.89552241563797
---
# rare-puppers-n... |
osanseviero/taco_or_what | 3d8b91acef7f4fa758c1e1b5ad2d424c915bba42 | 2021-07-03T18:39:20.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | osanseviero | null | osanseviero/taco_or_what | 76 | null | transformers | 5,178 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: taco_or_what
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.5148809552192688
---
# taco_or_what
Autoge... |
speechbrain/asr-wav2vec2-transformer-aishell | 97ae797c492da87b5934c4990119f2c77ed1d411 | 2021-12-15T10:44:05.000Z | [
"en",
"dataset:aishell",
"arxiv:2106.04624",
"speechbrain",
"automatic-speech-recognition",
"CTC",
"Attention",
"Transformers",
"wav2vec2",
"pytorch",
"license:apache-2.0"
] | automatic-speech-recognition | false | speechbrain | null | speechbrain/asr-wav2vec2-transformer-aishell | 76 | 3 | speechbrain | 5,179 | ---
language: "en"
thumbnail:
tags:
- automatic-speech-recognition
- CTC
- Attention
- Transformers
- wav2vec2
- pytorch
- speechbrain
license: "apache-2.0"
datasets:
- aishell
metrics:
- wer
- cer
---
<iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2... |
textattack/distilbert-base-uncased-MRPC | aeb733e21ed436844c6d9f9398a27c23f8e81be4 | 2020-07-06T16:30:12.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | textattack | null | textattack/distilbert-base-uncased-MRPC | 76 | null | transformers | 5,180 | ## TextAttack Model Card
This `distilbert-base-uncased` model was fine-tuned for sequence classification using TextAttack
and the glue dataset loaded using the `nlp` library. The model was fine-tuned
for 5 epochs with a batch size of 32, a learning
rate of 2e-05, and a maximum sequence length of 256.
Since this was... |
lazyturtl/roomidentifier | 5669106b99d6e461909ac1147664b726b43a5caa | 2022-03-30T04:10:41.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | lazyturtl | null | lazyturtl/roomidentifier | 76 | null | transformers | 5,181 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: roomidentifier
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9375
---
# roomidentifier
Autogenerated ... |
dimbyTa/rock-challenge-ViT-two-by-two | abad62db83cf90d89a350907e571836fddf9636d | 2022-04-20T11:19:22.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | dimbyTa | null | dimbyTa/rock-challenge-ViT-two-by-two | 76 | null | transformers | 5,182 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: rock-challenge-ViT-two-by-two
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9663800001144409
---
# rock... |
lazyturtl/blocks | c0280c6a366a0760cbe8052901c7399cd6bea738 | 2022-04-12T06:15:12.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | lazyturtl | null | lazyturtl/blocks | 76 | null | transformers | 5,183 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: blocks
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.4444444477558136
---
# blocks
Autogenerated by H... |
domluna/vit-base-patch16-224-in21k-shiba-inu-detector | 3017918814cd5d14745f1137114ab3ff14c0f1b5 | 2022-04-25T02:16:24.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | domluna | null | domluna/vit-base-patch16-224-in21k-shiba-inu-detector | 76 | 1 | transformers | 5,184 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vit-base-patch16-224-in21k-shiba-inu-detector
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, th... |
plantdoctor/swin-tiny-patch4-window7-224-plant-doctor | 01b8844d54d553e95f86c175599b5100ed255183 | 2022-04-22T12:31:55.000Z | [
"pytorch",
"tensorboard",
"swin",
"image-classification",
"dataset:image_folder",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | plantdoctor | null | plantdoctor/swin-tiny-patch4-window7-224-plant-doctor | 76 | null | transformers | 5,185 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- image_folder
metrics:
- accuracy
model-index:
- name: swin-tiny-patch4-window7-224-plant-doctor
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: image_folder
type: image_folder
a... |
Shitao/msmarco_doc_encoder | 2226e2fe8719ffce9563be0e61de6a48d77897e5 | 2022-04-24T17:13:20.000Z | [
"pytorch",
"bert",
"feature-extraction",
"transformers",
"license:apache-2.0"
] | feature-extraction | false | Shitao | null | Shitao/msmarco_doc_encoder | 76 | null | transformers | 5,186 | ---
license: apache-2.0
---
|
karthiksv/vit-base-patch16-224-cifar10 | 3874803225193f8c386df2874d2dc3bb0f81284a | 2022-06-30T02:05:56.000Z | [
"pytorch",
"vit",
"image-classification",
"dataset:cifar10",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | karthiksv | null | karthiksv/vit-base-patch16-224-cifar10 | 76 | null | transformers | 5,187 | ---
license: apache-2.0
tags:
- image-classification
- generated_from_trainer
datasets:
- cifar10
model-index:
- name: vit-base-patch16-224-cifar10
results:
- task:
type: image-classification
name: Image Classification
dataset:
name: cifar10
type: cifar10
config: plain_text
s... |
matteopilotto/vit-base-patch16-224-in21k-snacks | 54e537f1b0706a837fac7718b047a3c6563deb22 | 2022-06-27T22:19:35.000Z | [
"pytorch",
"vit",
"image-classification",
"dataset:Matthijs/snacks",
"transformers",
"model-index"
] | image-classification | false | matteopilotto | null | matteopilotto/vit-base-patch16-224-in21k-snacks | 76 | 0 | transformers | 5,188 | ---
datasets:
- Matthijs/snacks
model-index:
- name: matteopilotto/vit-base-patch16-224-in21k-snacks
results:
- task:
type: image-classification
name: Image Classification
dataset:
name: Matthijs/snacks
type: Matthijs/snacks
config: default
split: test
metrics:
- name... |
smc/electric_2 | de004ab1cf73d68cf0b265f387fbbe0e6eb2e205 | 2022-05-21T14:38:26.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | smc | null | smc/electric_2 | 76 | null | transformers | 5,189 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: electric pole classification
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 1.0
---
Find whether an electr... |
smc/PANDA_ViT | af0e45d80b2cba0c8f41b91275f8f5dc18dbfb8e | 2022-05-23T21:41:42.000Z | [
"pytorch",
"vit",
"image-classification",
"transformers",
"model-index"
] | image-classification | false | smc | null | smc/PANDA_ViT | 76 | 1 | transformers | 5,190 | ---
tags:
- image-classification
- pytorch
metrics:
- accuracy
- Cohen's Kappa
model-index:
- name: PANDA_ViT
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.47959184646606445
- name: Quadratic Cohe... |
MSaudTahir/wav2vec2-large-xls-r-300m-urdu-proj | 390172a68e39e1c18d658c53d3fbee6597372759 | 2022-06-02T16:12:26.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | MSaudTahir | null | MSaudTahir/wav2vec2-large-xls-r-300m-urdu-proj | 76 | null | transformers | 5,191 | Entry not found |
Gadmz/censor-testing-performance | 2e32fd073d97437af0fe8969c500454db38485bc | 2022-07-01T08:14:00.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | Gadmz | null | Gadmz/censor-testing-performance | 76 | null | transformers | 5,192 | Entry not found |
neulab/gpt2-med-finetuned-wikitext103 | 91221bfd6dda5d4d17e7855e4883398d135cf28f | 2022-07-14T15:38:04.000Z | [
"pytorch",
"gpt2",
"text-generation",
"arxiv:2201.12431",
"transformers"
] | text-generation | false | neulab | null | neulab/gpt2-med-finetuned-wikitext103 | 76 | null | transformers | 5,193 | This is a `gpt2-medium` model, finetuned on the Wikitext-103 dataset.
It achieves a perplexity of **11.55** using a "sliding window" context, using the `run_clm.py` script at [https://github.com/neulab/knn-transformers](https://github.com/neulab/knn-transformers).
| Base LM: | `distilgpt2` | `gpt2` |
| :--- ... |
FinanceInc/finbert-pretrain | e02aba19bb507a85dde57ab60972de6e35f1efff | 2022-07-27T20:43:33.000Z | [
"pytorch",
"bert",
"fill-mask",
"unk",
"arxiv:2006.08097",
"transformers",
"autotrain",
"pre-trained",
"finbert",
"autotrain_compatible"
] | fill-mask | false | FinanceInc | null | FinanceInc/finbert-pretrain | 76 | null | transformers | 5,194 | ---
tags:
- autotrain
- pre-trained
- finbert
- fill-mask
language: unk
widget:
- text: Tesla remains one of the highest [MASK] stocks on the market. Meanwhile, Aurora Innovation is a pre-revenue upstart that shows promise.
- text: Asian stocks [MASK] from a one-year low on Wednesday as U.S. share futures and oil reco... |
GKLMIP/bert-myanmar-base-uncased | f3d5ba16658848bcc4d202fbe0ae47b487a5032b | 2021-10-11T04:58:59.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | GKLMIP | null | GKLMIP/bert-myanmar-base-uncased | 75 | null | transformers | 5,195 | The Usage of tokenizer for Myanmar is same as Laos in https://github.com/GKLMIP/Pretrained-Models-For-Laos.
If you use our model, please consider citing our paper:
```
@InProceedings{,
author="Jiang, Shengyi
and Huang, Xiuwen
and Cai, Xiaonan
and Lin, Nankai",
title="Pre-trained Models and Evaluation Data for the Myan... |
GroNLP/bert-base-dutch-cased-upos-alpino | 98205e755bc716e04a7ff642441b3d1c6427b2cc | 2021-05-18T20:24:46.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"token-classification",
"nl",
"arxiv:2105.02855",
"transformers",
"BERTje",
"pos",
"autotrain_compatible"
] | token-classification | false | GroNLP | null | GroNLP/bert-base-dutch-cased-upos-alpino | 75 | null | transformers | 5,196 | ---
language: nl
tags:
- BERTje
- pos
---
Wietse de Vries • Martijn Bartelds • Malvina Nissim • Martijn Wieling
# Adapting Monolingual Models: Data can be Scarce when Language Similarity is High
This model is part of this paper + code:
- 📝 [Paper](https://arxiv.org/abs/2105.02855)
- 💻 [Code](https://github.com/wi... |
Helsinki-NLP/opus-mt-de-ms | 74314972252fa3c9de984265d92fb00269ae65e3 | 2021-01-18T08:01:36.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"ms",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-ms | 75 | null | transformers | 5,197 | ---
language:
- de
- ms
tags:
- translation
license: apache-2.0
---
### deu-msa
* source group: German
* target group: Malay (macrolanguage)
* OPUS readme: [deu-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-msa/README.md)
* model: transformer-align
* source language(s): deu
* t... |
Helsinki-NLP/opus-mt-vi-ru | 0a51430ce05344bff0300a65e896536de0f52cbb | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"text2text-generation",
"vi",
"ru",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-vi-ru | 75 | null | transformers | 5,198 | ---
language:
- vi
- ru
tags:
- translation
license: apache-2.0
---
### vie-rus
* source group: Vietnamese
* target group: Russian
* OPUS readme: [vie-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-rus/README.md)
* model: transformer-align
* source language(s): vie
* target lang... |
cardiffnlp/bertweet-base-hate | 5d8e3b7a6ac951864f36757914847bf59c4306f7 | 2021-05-20T14:46:38.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | cardiffnlp | null | cardiffnlp/bertweet-base-hate | 75 | null | transformers | 5,199 |
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