modelId stringlengths 4 112 | sha stringlengths 40 40 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringclasses 29
values | private bool 1
class | author stringlengths 2 38 ⌀ | config null | id stringlengths 4 112 | downloads float64 0 36.8M ⌀ | likes float64 0 712 ⌀ | library_name stringclasses 17
values | __index_level_0__ int64 0 38.5k | readme stringlengths 0 186k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
gary109/STAS_yolos-base | cfcf08d977d2435f674d2f0971aa6f5d401972a8 | 2022-05-13T22:38:04.000Z | [
"pytorch",
"yolos",
"object-detection",
"transformers"
] | object-detection | false | gary109 | null | gary109/STAS_yolos-base | 13 | null | transformers | 10,300 | Entry not found |
gonzpen/gbert-large-ft-edu-redux | 287f806c3d601de2c4c606d389cf5185f17e1903 | 2022-05-13T11:23:44.000Z | [
"pytorch",
"bert",
"text-classification",
"de",
"transformers",
"license:mit"
] | text-classification | false | gonzpen | null | gonzpen/gbert-large-ft-edu-redux | 13 | null | transformers | 10,301 | ---
language: de
license: mit
---
# German BERT large fine-tuned to predict educational requirements
This is a fine-tuned version of the German BERT large language model [deepset/gbert-large](https://huggingface.co/deepset/gbert-large). The multilabel task this model was trained on was to predict education requiremen... |
tbosse/bert-base-german-cased-noisy-pretrain-fine-tuned | dfd2979f3fcc8c3f39cdd3d4c208e4d8d6055e37 | 2022-05-17T17:07:41.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | tbosse | null | tbosse/bert-base-german-cased-noisy-pretrain-fine-tuned | 13 | null | transformers | 10,302 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-german-cased-noisy-pretrain-fine-tuned
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofre... |
nreimers/mmarco-mMiniLMv2-L6-H384-v1 | 4ceabf2d1e212e16da0d1fb94d5dea66a9a1cca0 | 2022-05-20T07:39:37.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | false | nreimers | null | nreimers/mmarco-mMiniLMv2-L6-H384-v1 | 13 | null | transformers | 10,303 | Entry not found |
sanjay-m1/active-to-passive | 7e6ae970fa462f96f314c59789bdf711d2c69ed8 | 2022-05-21T18:23:14.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | sanjay-m1 | null | sanjay-m1/active-to-passive | 13 | null | transformers | 10,304 | ## This model belongs to the Styleformer project
[Please refer to github page](https://github.com/PrithivirajDamodaran/Styleformer)
|
sanjay-m1/passive-to-active | 671b6b548ce50b6f9d1589fc71a6a2ebe9c4ecd6 | 2022-05-21T18:32:14.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | sanjay-m1 | null | sanjay-m1/passive-to-active | 13 | null | transformers | 10,305 | ## This model belongs to the Styleformer project
[Please refer to github page](https://github.com/PrithivirajDamodaran/Styleformer)
|
XeSaad/bert-finetuned-ner | bde0b24e33c2b90720cc0c6e6cef72b3e805e433 | 2022-05-24T12:48:15.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | XeSaad | null | XeSaad/bert-finetuned-ner | 13 | null | transformers | 10,306 | Entry not found |
aakorolyova/outcome_significance_relation | 5d8d320a6379a25b02f6b72c0adbc432349eed24 | 2022-05-25T19:13:54.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | aakorolyova | null | aakorolyova/outcome_significance_relation | 13 | null | transformers | 10,307 | <h1>Model description</h1>
This is a fine-tuned BioBERT model for extracting the relation between clinical trial outcome and its significance level. The task is framed as sentence classification:
- you first need to extract the entities - outcomes and significance levels. For outcomes, you could use the model https:/... |
abdulmatinomotoso/emotion_detection_finetuned_distilbert | 7949bab8e24407203c510a9a456db75cea57e9f0 | 2022-05-25T15:55:04.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | abdulmatinomotoso | null | abdulmatinomotoso/emotion_detection_finetuned_distilbert | 13 | null | transformers | 10,308 | Entry not found |
huggingtweets/rumi_quote | 458ad09c67505eaded84e02e9b1198638245ba4d | 2022-06-20T19:20:04.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/rumi_quote | 13 | null | transformers | 10,309 | ---
language: en
thumbnail: http://www.huggingtweets.com/rumi_quote/1655752799916/predictions.png
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: 4px; widt... |
kktoto/ty_punctuator | 4003fe5acfb6dbaa0457c02e0a777cce8e68e400 | 2022-05-28T07:42:19.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | kktoto | null | kktoto/ty_punctuator | 13 | null | transformers | 10,310 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: ty_punctuator
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. --... |
tbosse/bert-base-german-cased-noisy-pretrain-fine-tuned_v2 | 1f93814356cd35b296febea4dc8897d575002943 | 2022-05-29T23:53:47.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | tbosse | null | tbosse/bert-base-german-cased-noisy-pretrain-fine-tuned_v2 | 13 | null | transformers | 10,311 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-german-cased-noisy-pretrain-fine-tuned_v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proo... |
jkhan447/sarcasm-detection-Bert-base-uncased | 0a9fcd1015b94bd3e9d84bdf0c902635b7db08c5 | 2022-05-30T07:48:23.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | jkhan447 | null | jkhan447/sarcasm-detection-Bert-base-uncased | 13 | null | transformers | 10,312 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sarcasm-detection-Bert-base-uncased
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 ... |
eugenecamus/distilbert-imdb-demo | 82392d47b4b8fc48fcfcd192ca0a86fb65c31e3b | 2022-06-02T05:17:58.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | eugenecamus | null | eugenecamus/distilbert-imdb-demo | 13 | null | transformers | 10,313 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
model-index:
- name: distilbert-imdb-demo
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
metrics:
- name: Accura... |
osanseviero/my-helsinki-duplicate | 11e799d173fdca909d0bf1d3613c140552737ad5 | 2022-06-01T15:58:23.000Z | [
"pytorch",
"rust",
"marian",
"text2text-generation",
"zh",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | osanseviero | null | osanseviero/my-helsinki-duplicate | 13 | null | transformers | 10,314 | ---
language:
- zh
- en
tags:
- translation
license: apache-2.0
---
### zho-eng
* source group: Chinese
* target group: English
* OPUS readme: [zho-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-eng/README.md)
* model: transformer
* source language(s): cjy_Hans cjy_Hant cmn cmn_... |
dsghrg/bert-finetuned-ner | 5bc7111cd25a9f929a9385f6068134b748d7db5f | 2022-06-02T08:18:16.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | dsghrg | null | dsghrg/bert-finetuned-ner | 13 | null | transformers | 10,315 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args: c... |
EventMiner/bigbird-roberta-large-en-doc | 805035c55952661cee2aec2c7bf2c235e7a56c4d | 2022-06-19T15:24:06.000Z | [
"pytorch",
"big_bird",
"text-classification",
"en",
"transformers",
"news event detection",
"document level",
"EventMiner",
"license:apache-2.0"
] | text-classification | false | EventMiner | null | EventMiner/bigbird-roberta-large-en-doc | 13 | null | transformers | 10,316 | ---
language: en
tags:
- news event detection
- document level
- EventMiner
license: apache-2.0
---
# EventMiner
EventMiner is designed for multilingual news event detection. The goal of news event detection is the automatic extraction of event details from news articles. This event extraction can be done at differen... |
Classroom-workshop/assignment1-francesco | 70430106f9e86432f099371956a1140331046d86 | 2022-06-02T15:25:05.000Z | [
"pytorch",
"tf",
"speech_to_text",
"automatic-speech-recognition",
"en",
"dataset:librispeech_asr",
"arxiv:2010.05171",
"arxiv:1904.08779",
"transformers",
"speech",
"audio",
"hf-asr-leaderboard",
"license:mit",
"model-index"
] | automatic-speech-recognition | false | Classroom-workshop | null | Classroom-workshop/assignment1-francesco | 13 | null | transformers | 10,317 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
- audio
- automatic-speech-recognition
- hf-asr-leaderboard
license: mit
pipeline_tag: automatic-speech-recognition
widget:
- example_title: Librispeech sample 1
src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
- example_title: Librispeech s... |
OneFly/distilbert-base-uncased-finetuned-emotion | 6024e4b827ca2df6b042d0fd89325e33b760bc6c | 2022-06-02T16:28:55.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | OneFly | null | OneFly/distilbert-base-uncased-finetuned-emotion | 13 | null | transformers | 10,318 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... |
rbawden/CCASS-auto-titrages-base | e2bd0cc6a7be49ee2806c3594752d2233645c4ff | 2022-07-05T21:42:01.000Z | [
"pytorch",
"fsmt",
"fr",
"transformers",
"license:cc-by-4.0"
] | null | false | rbawden | null | rbawden/CCASS-auto-titrages-base | 13 | null | transformers | 10,319 | ---
language: fr
license: cc-by-4.0
---
# Cour de Cassation automatic *titrage* prediction model
Model for the automatic prediction of *titrages* (keyword sequence) from *sommaires* (synthesis of legal cases). The models are described in [this paper](https://hal.inria.fr/hal-03663110/file/LREC_2022___CCass_Inria-came... |
nbroad/splinter-base-squad2 | 128ad722d483ac3e436ad5e42ff8dddd31100a98 | 2022-06-04T03:47:06.000Z | [
"pytorch",
"tensorboard",
"splinter",
"question-answering",
"dataset:squad_v2",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | nbroad | null | nbroad/splinter-base-squad2 | 13 | null | transformers | 10,320 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: splinter-base-squad2_3
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... |
Anery/bert-finetuned-ner | 5b1cc1b214f040f781613ee945040026474d1eab | 2022-06-07T22:48:14.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | Anery | null | Anery/bert-finetuned-ner | 13 | null | transformers | 10,321 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner
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... |
amehta633/cifar-10-vgg-pretrained | 2e54558f39d76c7dada2c566610b4e31cbad47ae | 2022-06-08T04:01:09.000Z | [
"transformers",
"image-classification",
"pytorch"
] | image-classification | false | amehta633 | null | amehta633/cifar-10-vgg-pretrained | 13 | null | transformers | 10,322 | ---
tags:
- image-classification
- pytorch
---
|
carblacac/twitter-sentiment-analysis | 639782f8a57a5bbc49d97e43940f601dff006fc3 | 2022-06-08T22:40:26.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:new_dataset",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | carblacac | null | carblacac/twitter-sentiment-analysis | 13 | null | transformers | 10,323 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- new_dataset
metrics:
- accuracy
model-index:
- name: sentiment-analysis-twitter
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: new_dataset
type: new_dataset
args: default
met... |
Marvin67/distil_covid | 617c3401d893d068725fd938396e64a0f062687b | 2022-06-09T00:44:16.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers",
"license:other"
] | text-classification | false | Marvin67 | null | Marvin67/distil_covid | 13 | null | transformers | 10,324 | ---
license: other
---
|
ghadeermobasher/WLT-SciBERT-NCBI | 88d06551985d3b4a1c7c08b5fb64f40b3120a8c6 | 2022-06-09T11:43:47.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/WLT-SciBERT-NCBI | 13 | null | transformers | 10,325 | Entry not found |
aspis/swin-finetuned-food101 | aad5a07687f7372495da39804ee4c21a9c374fc6 | 2022-06-28T11:02:36.000Z | [
"pytorch",
"tensorboard",
"swin",
"image-classification",
"dataset:food101",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | aspis | null | aspis/swin-finetuned-food101 | 13 | null | transformers | 10,326 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- food101
metrics:
- accuracy
model-index:
- name: swin-finetuned-food101
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: food101
type: food101
args: default
metrics:
- na... |
biu-nlp/lingmess-coref | ea4e2faa2df18efbcdfeebd70865a72cbb5fee1e | 2022-06-29T11:48:40.000Z | [
"pytorch",
"longformer",
"en",
"arxiv:2205.12644",
"transformers",
"lingmess-coref-v1",
"license:mit"
] | null | false | biu-nlp | null | biu-nlp/lingmess-coref | 13 | null | transformers | 10,327 | ---
language: en
tags: lingmess-coref-v1
license: mit
---
## LingMess: Linguistically Informed Multi Expert Scorers for Coreference Resolution
[LingMess](https://arxiv.org/abs/2205.12644) is a linguistically motivated categorization of mention-pairs into 6 types of coreference decisions and learn a dedicated trainabl... |
speechbrain/asr-wav2vec2-dvoice-darija | ed08fb00905c304d6bc57a8a495120c5e25eb3b9 | 2022-06-10T00:58:04.000Z | [
"wav2vec2",
"feature-extraction",
"dar",
"dataset:Dvoice",
"speechbrain",
"CTC",
"pytorch",
"Transformer",
"license:apache-2.0",
"automatic-speech-recognition"
] | automatic-speech-recognition | false | speechbrain | null | speechbrain/asr-wav2vec2-dvoice-darija | 13 | null | speechbrain | 10,328 | ---
language: "dar"
thumbnail:
pipeline_tag: automatic-speech-recognition
tags:
- CTC
- pytorch
- speechbrain
- Transformer
license: "apache-2.0"
datasets:
- Dvoice
metrics:
- wer
- cer
---
<iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborde... |
zuu/automatic-speech-recognition | c5bd5e6c2ea9c24a25ad90d8aa623313c28c2bf1 | 2022-06-11T09:41:25.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | zuu | null | zuu/automatic-speech-recognition | 13 | null | transformers | 10,329 | Entry not found |
carblacac/bert-finetuned-ner | 4a874f8e71cd529fffc8fb5fec424ae7fe7f47f6 | 2022-06-14T10:07:12.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | carblacac | null | carblacac/bert-finetuned-ner | 13 | null | transformers | 10,330 | Entry not found |
ghadeermobasher/BC5CDR-Chem-Modified-PubMedBERT-384 | 976124862f8e127089c25d1f99b182ad76481690 | 2022-06-15T12:09:25.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC5CDR-Chem-Modified-PubMedBERT-384 | 13 | null | transformers | 10,331 | Entry not found |
ghadeermobasher/BC4CHEMD-Chem-Modified-PubMedBERT-384 | a30e30d8ba963e0abe2aea4979652ab00a258ab0 | 2022-06-14T05:57:56.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC4CHEMD-Chem-Modified-PubMedBERT-384 | 13 | null | transformers | 10,332 | Entry not found |
ghadeermobasher/BC4CHEMD-Chem-Modified-BlueBERT-512 | 0dee08c36175ff1592b3924cca929b07551452f6 | 2022-06-14T09:35:49.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC4CHEMD-Chem-Modified-BlueBERT-512 | 13 | null | transformers | 10,333 | Entry not found |
ghadeermobasher/BC4CHEMD-Chem-Original-PubMedBERT-384 | a30a8fe5990252f86a965e8b950da568903a59a0 | 2022-06-14T06:33:40.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC4CHEMD-Chem-Original-PubMedBERT-384 | 13 | null | transformers | 10,334 | Entry not found |
ghadeermobasher/BC4CHEMD-Chem-Original-BioBERT-512 | 3c52d62c633fa135bf4a70836218b195ebf09c9e | 2022-06-14T10:03:54.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC4CHEMD-Chem-Original-BioBERT-512 | 13 | null | transformers | 10,335 | Entry not found |
ghadeermobasher/BC4CHEMD-Chem-Modified-SciBERT-384 | 4904d7209de2de9e5672f94152828121a983f82c | 2022-06-14T18:54:29.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC4CHEMD-Chem-Modified-SciBERT-384 | 13 | null | transformers | 10,336 | Entry not found |
eslamxm/xlmroberta-finetuned-fa | c1f6097c73d428cd542c18d49cbb3fa6c0e9b2ad | 2022-06-15T06:53:15.000Z | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:pn_summary",
"transformers",
"summarization",
"fa",
"xlmroberta",
"Abstractive Summarization",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | summarization | false | eslamxm | null | eslamxm/xlmroberta-finetuned-fa | 13 | null | transformers | 10,337 | ---
tags:
- summarization
- fa
- xlmroberta
- Abstractive Summarization
- generated_from_trainer
datasets:
- pn_summary
model-index:
- name: xlmroberta-finetuned-fa
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofr... |
mmeet611/finetuning-sentiment-model-3000-samples | 27ac771731fe1dcb304e84dad698ba0ef806298f | 2022-07-05T07:16:18.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | mmeet611 | null | mmeet611/finetuning-sentiment-model-3000-samples | 13 | null | transformers | 10,338 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
met... |
justpyschitry/Medical_Article_Classifier_by_ICD-11_Chapter | c350b711f6950912f759e70a5eebcd8f31f902cb | 2022-06-15T21:38:26.000Z | [
"pytorch",
"bert",
"text-classification",
"unk",
"dataset:justpyschitry/autotrain-data-Psychiatry_Article_Identifier",
"transformers",
"autotrain",
"co2_eq_emissions"
] | text-classification | false | justpyschitry | null | justpyschitry/Medical_Article_Classifier_by_ICD-11_Chapter | 13 | null | transformers | 10,339 | ---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- justpyschitry/autotrain-data-Psychiatry_Article_Identifier
co2_eq_emissions: 0.021794705501614994
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 990132820
- CO2 Emissions (in grams): 0.02179... |
Akihiro2/akihiro2-finetuned-kde4-en-to-jp-accelerate | 014605485acc4e964d1ee8a8b2ae222ccdd38979 | 2022-06-17T08:24:32.000Z | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Akihiro2 | null | Akihiro2/akihiro2-finetuned-kde4-en-to-jp-accelerate | 13 | null | transformers | 10,340 | |
S2312dal/M1_cross | c0332f1e22740ae366f1dc615399d7337a8d72f3 | 2022-06-17T14:17:56.000Z | [
"pytorch",
"tensorboard",
"albert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | S2312dal | null | S2312dal/M1_cross | 13 | null | transformers | 10,341 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- spearmanr
model-index:
- name: M1_cross
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. -->
# M1_cr... |
Nonzerophilip/bert-finetuned-ner_swedish_test_large_set | da1a65e5c3434959b6743e57eb1aec9b959895c0 | 2022-06-18T08:36:12.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:suc3",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | Nonzerophilip | null | Nonzerophilip/bert-finetuned-ner_swedish_test_large_set | 13 | null | transformers | 10,342 | ---
tags:
- generated_from_trainer
datasets:
- suc3
model-index:
- name: bert-finetuned-ner_swedish_test_large_set
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. -->... |
philschmid/habana-xlm-r-large-amazon-massive | 3d761073603c1d60a140b163fe3e01f237c4ddc7 | 2022-06-24T13:38:20.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"text-classification",
"dataset:AmazonScience/massive",
"transformers",
"generated_from_trainer",
"habana",
"license:apache-2.0"
] | text-classification | false | philschmid | null | philschmid/habana-xlm-r-large-amazon-massive | 13 | null | transformers | 10,343 | ---
license: apache-2.0
tags:
- generated_from_trainer
- habana
datasets:
- AmazonScience/massive
metrics:
- accuracy
- f1
---
<!-- 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. -->
# ph... |
KoichiYasuoka/bert-base-japanese-wikipedia-ud-head | 0da626d8f4bdd4a90aa033598caf1337644dbb1c | 2022-07-20T03:51:44.000Z | [
"pytorch",
"bert",
"question-answering",
"ja",
"dataset:universal_dependencies",
"transformers",
"japanese",
"wikipedia",
"dependency-parsing",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | question-answering | false | KoichiYasuoka | null | KoichiYasuoka/bert-base-japanese-wikipedia-ud-head | 13 | null | transformers | 10,344 | ---
language:
- "ja"
tags:
- "japanese"
- "wikipedia"
- "question-answering"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "cc-by-sa-4.0"
pipeline_tag: "question-answering"
widget:
- text: "国語"
context: "全学年にわたって小学校の国語の教科書に挿し絵が用いられている"
- text: "教科書"
context: "全学年にわたって小学校の国語の教科書に挿し絵が用いられている"
-... |
Sayan01/tiny-bert-cola-distilled | 8a459f9c77912b2319441cdeb802d5b5d9d3b7a5 | 2022-07-14T07:33:09.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Sayan01 | null | Sayan01/tiny-bert-cola-distilled | 13 | null | transformers | 10,345 | Entry not found |
Jeevesh8/std_0pnt2_bert_ft_cola-40 | b0527926225e9a8d00e06f54c878dd4582f8ca9e | 2022-06-21T13:28:07.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/std_0pnt2_bert_ft_cola-40 | 13 | null | transformers | 10,346 | Entry not found |
davidcechak/DNADeberta_finedemo_coding_vs_intergenomic_seqs | 258eba22d3132cda046b2a67c4350cdaa2ee1a6c | 2022-06-22T08:19:10.000Z | [
"pytorch",
"deberta",
"text-classification",
"transformers"
] | text-classification | false | davidcechak | null | davidcechak/DNADeberta_finedemo_coding_vs_intergenomic_seqs | 13 | null | transformers | 10,347 | Entry not found |
Zamachi/albert-for-multilabel-sentence-classification | f47d0ebb3c59a2128f3427d698e2ad34bbfb2c7e | 2022-07-14T13:49:59.000Z | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | false | Zamachi | null | Zamachi/albert-for-multilabel-sentence-classification | 13 | null | transformers | 10,348 | Entry not found |
Sayan01/tiny-bert-qnli-distilled | 3d5b3dcc80b599a6dcde60d4193937c1a61a6b8d | 2022-07-15T17:47:10.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Sayan01 | null | Sayan01/tiny-bert-qnli-distilled | 13 | null | transformers | 10,349 | Entry not found |
Hermite/DialoGPT-large-hermite3 | 65dbba4ec74581c8f9f797e144ef952e77cd8a85 | 2022-06-23T15:55:13.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Hermite | null | Hermite/DialoGPT-large-hermite3 | 13 | null | transformers | 10,350 | ---
tags:
- conversational
---
# Hermite DialoGPT Model |
AlekseyKorshuk/books-long-model | 43a70085a37c8886fa1d4baae679efaa97372d9e | 2022-06-24T10:27:51.000Z | [
"pytorch",
"gptj",
"text-generation",
"transformers"
] | text-generation | false | AlekseyKorshuk | null | AlekseyKorshuk/books-long-model | 13 | 1 | transformers | 10,351 | Entry not found |
domenicrosati/deberta-v3-large-finetuned-DAGPap22 | 9299f200908c80e9b33ba1029bcfd26b2364b05b | 2022-06-25T15:42:46.000Z | [
"pytorch",
"tensorboard",
"deberta-v2",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | domenicrosati | null | domenicrosati/deberta-v3-large-finetuned-DAGPap22 | 13 | null | transformers | 10,352 | ---
license: mit
tags:
- text-classification
- generated_from_trainer
model-index:
- name: deberta-v3-large-finetuned-DAGPap22
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 ... |
crystina-z/canine-c-mmarco-all.epoch-2 | 1936e693625b554c9bfbe551e0ee5b3cd4bda6e3 | 2022-06-25T18:06:07.000Z | [
"pytorch",
"canine",
"feature-extraction",
"transformers"
] | feature-extraction | false | crystina-z | null | crystina-z/canine-c-mmarco-all.epoch-2 | 13 | null | transformers | 10,353 | Entry not found |
canlinzhang/bert-finetuned-ner | 4dd7719f294d2d96028e12c594878ad2d2036ec3 | 2022-06-26T04:43:18.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | canlinzhang | null | canlinzhang/bert-finetuned-ner | 13 | null | transformers | 10,354 | Entry not found |
OptimalHoiboy/DialoGPT-small-kasumai | b905b45aebf5c56b70d129be59508ebcdb556769 | 2022-06-27T18:06:47.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | OptimalHoiboy | null | OptimalHoiboy/DialoGPT-small-kasumai | 13 | null | transformers | 10,355 | ---
tags:
- conversational
---
# Rick DialoGPT Model |
nvidia/stt_de_conformer_transducer_large | 8ba02a07bb4d2ce404bc0f299c42f711bec4f340 | 2022-07-27T17:58:21.000Z | [
"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",
"license:cc-by-4... | automatic-speech-recognition | false | nvidia | null | nvidia/stt_de_conformer_transducer_large | 13 | 2 | nemo | 10,356 | ---
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
license: cc-by-4.0
widget:
- example_title: Libris... |
Vanmas/bert-finetuned-ner | 175d9969490207934e3d9fea1d0701efff74bd7c | 2022-06-28T08:11:42.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Vanmas | null | Vanmas/bert-finetuned-ner | 13 | null | transformers | 10,357 | Entry not found |
pserna/bert2bert-spanish-paraphraser | 064965d0ae5cb17a68d1c62b6a0c925f05403c88 | 2022-07-04T15:15:38.000Z | [
"pytorch",
"tf",
"encoder-decoder",
"text2text-generation",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | pserna | null | pserna/bert2bert-spanish-paraphraser | 13 | null | transformers | 10,358 | ---
license: apache-2.0
---
# Spanish Bert2Bert fine-tuned on Quora question pairs dataset
Fine-tuning of a [question generator model](https://huggingface.co/mrm8488/bert2bert-spanish-question-generation) into a paraphraser model using a poor-man's translation of the Quora question pairs dataset. It basically rephras... |
czearing/story-to-title | db7460f0c49d8dc46fcde87dba3f73fde5216150 | 2022-06-28T22:43:26.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | czearing | null | czearing/story-to-title | 13 | 1 | transformers | 10,359 | ---
license: mit
---
## Story to Title
The model is based on the T5 language model and trained using a large collection of movie descriptions and corresponding titles. When given a story it will generate a corresponding title.
## Usage
Example code:
```python
from transformers import AutoTokenizer, AutoModel
tokenize... |
Salvatore/bert-finetuned-mutation-recognition-2 | 564465100183c5dc75ee4534b73b24c9c8ac96cd | 2022-06-29T14:29:27.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | Salvatore | null | Salvatore/bert-finetuned-mutation-recognition-2 | 13 | null | transformers | 10,360 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-mutation-recognition-2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread a... |
sarahmiller137/bioclinical-bert-ft-m3-lc | b7d12474813b5215463a104ed899e34beb121010 | 2022-07-05T16:26:56.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"dataset:MIMIC-III ",
"transformers",
"text classification",
"license:cc"
] | text-classification | false | sarahmiller137 | null | sarahmiller137/bioclinical-bert-ft-m3-lc | 13 | null | transformers | 10,361 | ---
language:
- en
thumbnail: "url to a thumbnail used in social sharing"
tags:
- 'text classification'
license: cc
datasets:
- MIMIC-III
---
## Model information:
This model is the [emilyalsentzer/Bio_ClinicalBERT](https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT) model that has been finetuned using radiolo... |
Jeevesh8/goog_bert_ft_cola-49 | 33393de4a88da2fb43020f9c81c6dbba538530f1 | 2022-06-29T17:34:27.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-49 | 13 | null | transformers | 10,362 | Entry not found |
bayartsogt/roberta-base-ner | f4b56cf78a7c93b6a92936d3ee5d1866453016b1 | 2022-07-01T01:51:15.000Z | [
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"mn",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | bayartsogt | null | bayartsogt/roberta-base-ner | 13 | null | transformers | 10,363 | ---
language:
- mn
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: roberta-base-ner
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 remov... |
mousaazari/t5-text2sql | edde028d1cc3769f80c9370f0f13c82e604d7022 | 2022-07-22T14:19:15.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | mousaazari | null | mousaazari/t5-text2sql | 13 | null | transformers | 10,364 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-text2sql
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. -->
# t5-text2sql
This model... |
8X7K/anime-sentiment-analysis | 0a948e7ca1a3b20c802c9c5a4283c9ab1774556c | 2022-07-04T06:29:50.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | 8X7K | null | 8X7K/anime-sentiment-analysis | 13 | null | transformers | 10,365 | Entry not found |
samuelrince/bert-base-cased-finetuned-panx-en | eb4c79f53c89ea8db066f8f2de1f3ec80ebf443a | 2022-07-04T20:08:03.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:xtreme",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | samuelrince | null | samuelrince/bert-base-cased-finetuned-panx-en | 13 | null | transformers | 10,366 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- xtreme
model-index:
- name: bert-base-cased-finetuned-panx-en
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 thi... |
dee4hf/autotrain-deephate2-1093539673 | 5f48e340923213e6c8893056ecc6b7cea20c7554 | 2022-07-06T04:28:59.000Z | [
"pytorch",
"albert",
"text-classification",
"bn",
"dataset:dee4hf/autotrain-data-deephate2",
"transformers",
"autotrain",
"co2_eq_emissions"
] | text-classification | false | dee4hf | null | dee4hf/autotrain-deephate2-1093539673 | 13 | null | transformers | 10,367 | ---
tags: autotrain
language: bn
widget:
- text: "I love AutoTrain 🤗"
datasets:
- dee4hf/autotrain-data-deephate2
co2_eq_emissions: 7.663051290039914
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 1093539673
- CO2 Emissions (in grams): 7.663051290039914
## Validation Metr... |
pollner/finetuning-sentiment-model-3000-samples | cd8f74b20e55d26f25cca9cb1b6d7c789351f252 | 2022-07-06T07:56:52.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | pollner | null | pollner/finetuning-sentiment-model-3000-samples | 13 | null | transformers | 10,368 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
met... |
chiendvhust/roberta-base-finetuned-squad | bab255ced06152a40a3d31917c2c45b9e64a06b3 | 2022-07-06T12:24:17.000Z | [
"pytorch",
"roberta",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | question-answering | false | chiendvhust | null | chiendvhust/roberta-base-finetuned-squad | 13 | null | transformers | 10,369 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: roberta-base-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 comment. --... |
Mascariddu8/bert-finetuned-ner | 68a9982c91d021d7042847025d3403413ee09c24 | 2022-07-07T14:36:28.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | Mascariddu8 | null | Mascariddu8/bert-finetuned-ner | 13 | null | transformers | 10,370 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args: c... |
rosicast/wav2vec2-large-xlsr-korean-zeroth | 7f11ae09806098f5951cb155db303b8b03b47d2b | 2022-07-08T08:06:57.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"korean",
"dataset:kresnik/zeroth_korean",
"transformers",
"Automatic Speech Recognition",
"wav2vec2-large-xlsr",
"speech",
"license:apache-2.0"
] | automatic-speech-recognition | false | rosicast | null | rosicast/wav2vec2-large-xlsr-korean-zeroth | 13 | null | transformers | 10,371 | ---
license:
- apache-2.0
language:
- korean
tags:
- korean
- Automatic Speech Recognition
- automatic-speech-recognition
- wav2vec2
- wav2vec2-large-xlsr
- speech
datasets:
- kresnik/zeroth_korean
---
# Alert> The model is on the training process
# Model description
Check [facebook/wav2vec2-large-xlsr-53](https://... |
josh-oo/bert-to-gpt2-german-to-easy-german-wiki | 05cc57552b964d837ac88d479c16158d1b209b3e | 2022-07-07T20:47:24.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | josh-oo | null | josh-oo/bert-to-gpt2-german-to-easy-german-wiki | 13 | null | transformers | 10,372 | Entry not found |
casasdorjunior/t5-small-finetuned-xlsum | 0a21383954fe2f093f4cf0ed1f190cbc2af9fc6b | 2022-07-10T08:50:55.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:xlsum",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | casasdorjunior | null | casasdorjunior/t5-small-finetuned-xlsum | 13 | null | transformers | 10,373 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- xlsum
metrics:
- rouge
model-index:
- name: t5-small-finetuned-xlsum
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: xlsum
type: xlsum
args: spanish
metric... |
danielreales00/fine-tuned-ai-ss-hs-01 | 3ed42a17757d772d0b3c46dc4a0244d71d0356ce | 2022-07-11T02:50:35.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | danielreales00 | null | danielreales00/fine-tuned-ai-ss-hs-01 | 13 | null | transformers | 10,374 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: fine-tuned-ai-ss-hs-01
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it,... |
MiguelCosta/finetuning-sentiment-model-24000-samples | b815ab52ba004d7766fb43087310e995756e732c | 2022-07-12T10:48:14.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | MiguelCosta | null | MiguelCosta/finetuning-sentiment-model-24000-samples | 13 | null | transformers | 10,375 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-24000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
me... |
Khoa/t5-small-finetuned-xsum | 306ad07a7570e6e35b716a4fbd4cb9b738e3efa7 | 2022-07-12T17:05:24.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Khoa | null | Khoa/t5-small-finetuned-xsum | 13 | null | transformers | 10,376 | Entry not found |
Team-PIXEL/pixel-base-finetuned-pos-ud-vietnamese-vtb | 4e9f2bad3dec8bf076f2bc3f6521e9054cd1bab4 | 2022-07-13T01:34:08.000Z | [
"pytorch",
"pixel",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Team-PIXEL | null | Team-PIXEL/pixel-base-finetuned-pos-ud-vietnamese-vtb | 13 | null | transformers | 10,377 | Entry not found |
xliu128/distilbert-base-uncased-finetuned-clinc | e067720b347954c0bcbdb0b0a86156291e84e6c1 | 2022-07-13T02:30:34.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:clinc_oos",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | xliu128 | null | xliu128/distilbert-base-uncased-finetuned-clinc | 13 | null | transformers | 10,378 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
args: plus
... |
morenolq/thext-bio-scibert | 77822575f8ff6d7fc5a2f6793d290b5dc775bcba | 2022-07-13T17:00:40.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"transformers",
"regression"
] | text-classification | false | morenolq | null | morenolq/thext-bio-scibert | 13 | null | transformers | 10,379 | ---
language: "en"
tags:
- bert
- regression
- pytorch
pipeline:
- text-classification
widget:
- text: "We propose a new approach, based on Transformer-based encoding, to highlight extraction. To the best of our knowledge, this is the first attempt to use transformer architectures to address automatic highlight generat... |
jordyvl/biobert-base-cased-v1.2_ncbi_disease-softmax-labelall-ner | 21391c5827c5d90053db6d948beea6a602151da2 | 2022-07-13T09:05:56.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:ncbi_disease",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | jordyvl | null | jordyvl/biobert-base-cased-v1.2_ncbi_disease-softmax-labelall-ner | 13 | null | transformers | 10,380 | ---
tags:
- generated_from_trainer
datasets:
- ncbi_disease
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: biobert-base-cased-v1.2_ncbi_disease-softmax-labelall-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: ncbi_disease
type... |
Yvanzhu/E2E-NLG-Bart-best | 804565271f7c8008746d070ce1dd0181295653b8 | 2022-07-13T11:08:26.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Yvanzhu | null | Yvanzhu/E2E-NLG-Bart-best | 13 | null | transformers | 10,381 | Entry not found |
roscazo/BNE-conv-v1 | 4a9fea91227c1996a64a2d81e103adddbbddd07e | 2022-07-18T10:57:18.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | roscazo | null | roscazo/BNE-conv-v1 | 13 | null | transformers | 10,382 | Entry not found |
Bistolero/mt5_32b_DP_3 | 0b40ff9b1efc994add7c927d59bd3c26684e65a6 | 2022-07-13T17:05:48.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Bistolero | null | Bistolero/mt5_32b_DP_3 | 13 | null | transformers | 10,383 | Entry not found |
domenicrosati/SPECTER-finetuned-DAGPap22 | 44278b7ebdf40d98507dc29112c15d854170be9a | 2022-07-13T18:53:10.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | domenicrosati | null | domenicrosati/SPECTER-finetuned-DAGPap22 | 13 | null | transformers | 10,384 | ---
license: apache-2.0
tags:
- text-classification
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: SPECTER-finetuned-DAGPap22
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complet... |
shivaniNK8/mt5-small-finetuned-cnn-news | 5659ba0e4876e2bf26bcf73d9db3785c83fdb135 | 2022-07-15T03:42:23.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | shivaniNK8 | null | shivaniNK8/mt5-small-finetuned-cnn-news | 13 | null | transformers | 10,385 | Entry not found |
Fagen/TrueNeuromiron2 | 830b261f045d23c082dbdfd46ec9c335de9df70a | 2022-07-14T20:10:47.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"license:unlicense"
] | text-generation | false | Fagen | null | Fagen/TrueNeuromiron2 | 13 | null | transformers | 10,386 | ---
license: unlicense
---
|
mrm8488/bloom-6b3-8bit | 477af33966d641e404c7f6b5e900dd968525835b | 2022-07-17T10:37:19.000Z | [
"pytorch",
"bloom",
"text-generation",
"ak",
"ar",
"as",
"bm",
"bn",
"ca",
"en",
"es",
"eu",
"fon",
"fr",
"gu",
"hi",
"id",
"ig",
"ki",
"kn",
"lg",
"ln",
"ml",
"mr",
"ne",
"nso",
"ny",
"or",
"pa",
"pt",
"rn",
"rw",
"sn",
"st",
"sw",
"ta",
"te",... | text-generation | false | mrm8488 | null | mrm8488/bloom-6b3-8bit | 13 | 2 | transformers | 10,387 | ---
inference: false
license: bigscience-bloom-rail-1.0
language:
- ak
- ar
- as
- bm
- bn
- ca
- en
- es
- eu
- fon
- fr
- gu
- hi
- id
- ig
- ki
- kn
- lg
- ln
- ml
- mr
- ne
- nso
- ny
- or
- pa
- pt
- rn
- rw
- sn
- st
- sw
- ta
- te
- tn
- ts
- tum
- tw
- ur
- vi
- wo
- xh
- yo
- zh
- zu
pipeline_tag: text-generat... |
pyronear/mobilenet_v3_large | 978a0ff4419da465d71361a700e0dd0290cac291 | 2022-07-17T23:48:57.000Z | [
"pytorch",
"onnx",
"dataset:pyronear/openfire",
"arxiv:1905.02244",
"transformers",
"image-classification",
"license:apache-2.0"
] | image-classification | false | pyronear | null | pyronear/mobilenet_v3_large | 13 | null | transformers | 10,388 | ---
license: apache-2.0
tags:
- image-classification
- pytorch
- onnx
datasets:
- pyronear/openfire
---
# MobileNet V3 - Large model
Pretrained on a dataset for wildfire binary classification (soon to be shared). The MobileNet V3 architecture was introduced in [this paper](https://arxiv.org/pdf/1905.02244.pdf).
##... |
Aktsvigun/bart-base_abssum_scisummnet_23419 | 3229c7c52ba662181456b75739b74ed8450d68d1 | 2022-07-18T08:09:41.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Aktsvigun | null | Aktsvigun/bart-base_abssum_scisummnet_23419 | 13 | null | transformers | 10,389 | Entry not found |
Albe/housing-categories | bda03fbcd40529a0be85dbb32b23327f6a5b0289 | 2022-07-18T09:37:40.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | Albe | null | Albe/housing-categories | 13 | null | transformers | 10,390 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: housing-categories
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.875
---
# housing-categories
Autogen... |
icity/distilgpt2-finetuned-wikitext2 | e656aca732aa03bf32fe95fbda803cedeba20c09 | 2022-07-28T13:14:53.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | icity | null | icity/distilgpt2-finetuned-wikitext2 | 13 | null | transformers | 10,391 | Entry not found |
shivaniNK8/t5-small-finetuned-cnn-news | 1b1c41d48ecacf083dd31932f0ab32dbb07622b3 | 2022-07-19T02:37:27.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | shivaniNK8 | null | shivaniNK8/t5-small-finetuned-cnn-news | 13 | null | transformers | 10,392 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- cnn_dailymail
metrics:
- rouge
model-index:
- name: t5-small-finetuned-cnn-news
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: cnn_dailymail
type: c... |
huggingtweets/yashar | ef6b071da5f5ec0ed0bbfb9ae2865e70f78247de | 2022-07-19T02:12:11.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/yashar | 13 | null | transformers | 10,393 | ---
language: en
thumbnail: http://www.huggingtweets.com/yashar/1658196662556/predictions.png
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: 4px; width: 9... |
jinwooChoi/SKKU_AP_SA_KBT1 | 5cb5768b38da70791b8d525597f692bc875a12a9 | 2022-07-25T05:47:00.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | jinwooChoi | null | jinwooChoi/SKKU_AP_SA_KBT1 | 13 | null | transformers | 10,394 | Entry not found |
nloc2578/3.4 | 80aa62a34920ecc6d33daef16aa0ea95b9761d37 | 2022-07-19T10:19:43.000Z | [
"pytorch",
"tensorboard",
"pegasus",
"text2text-generation",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | nloc2578 | null | nloc2578/3.4 | 13 | null | transformers | 10,395 | ---
tags:
- generated_from_trainer
model-index:
- name: '3.4'
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. -->
# 3.4
This model is a fine-tuned version of [googl... |
nev/byt5-song-lyrics | 3208b735c440e7cf889f6ff388d781177a054b19 | 2022-07-20T10:46:34.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"transformers",
"music",
"byt5",
"license:isc",
"autotrain_compatible"
] | text2text-generation | false | nev | null | nev/byt5-song-lyrics | 13 | null | transformers | 10,396 | ---
language:
- en
tags:
- music
- t5
- byt5
license: "isc"
metrics:
- accuracy
---
# ByT5 Song Lyrics
This is a Seq2Seq model trained on a karaoke dataset to predict syllables with pitch and timing from song lyrics.
As of writing, the model has only been trained on 1/2 of the full dataset. Expect the quality to ... |
figurative-nlp/English-Simile-Generation | 33e1eec96b3c42559433b2e69fcf1393d91102ac | 2022-07-20T01:54:41.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | figurative-nlp | null | figurative-nlp/English-Simile-Generation | 13 | null | transformers | 10,397 | English-Simile-Generation is a seq2seq paraphrase model which can transform sentence A to sentence B containing figurative or simile expression.
A： Now I feel sad to see your scientific research progress is so slow.
B： Now I feel sad to see your scientific research progress is as slow as snail.
**To our knowledge, o... |
ClassCat/gpt2-small-greek-v2 | a6aeea86d42eee665b1195f2f5776078d370fbb2 | 2022-07-23T09:26:00.000Z | [
"pytorch",
"gpt2",
"text-generation",
"el",
"dataset:cc100",
"dataset:oscar",
"dataset:wikipedia",
"transformers",
"license:cc-by-sa-4.0"
] | text-generation | false | ClassCat | null | ClassCat/gpt2-small-greek-v2 | 13 | 1 | transformers | 10,398 | ---
language: el
license: cc-by-sa-4.0
datasets:
- cc100
- oscar
- wikipedia
widget:
- text: "Αυτό είναι ένα"
- text: "Ανοιξα την"
- text: "Ευχαριστώ για το"
- text: "Έχει πολύ καιρό που δεν έχουμε"
---
## Greek GPT2 small model Version 2 (Uncased)
### Prerequisites
transformers==4.19.2
### Model architecture
This... |
CennetOguz/gpt2-kit-st | 1a8daec4d4ea0eae8d87371690eaf65b61524da6 | 2022-07-20T09:47:18.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-generation | false | CennetOguz | null | CennetOguz/gpt2-kit-st | 13 | null | transformers | 10,399 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-kit-st
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. -->
# gpt2-kit-st
This model is a f... |
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