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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
echarlaix/distilbert-sst2-inc-dynamic-quantization-magnitude-pruning-0.1 | d568bc2520a81b6017a152db2fa0ef80b611dcd3 | 2022-06-06T11:25:48.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers",
"license:apache-2.0"
] | text-classification | false | echarlaix | null | echarlaix/distilbert-sst2-inc-dynamic-quantization-magnitude-pruning-0.1 | 10 | null | transformers | 11,900 | ---
license: apache-2.0
---
|
nboudad/Maghriberta0.0 | 75ce27119a6b44ab753eb448b22938562e90c2f6 | 2022-06-07T12:05:50.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | nboudad | null | nboudad/Maghriberta0.0 | 10 | null | transformers | 11,901 | ---
widget:
- text: "جاب ليا <mask> ."
example_title: "example1"
- text: "مشيت نجيب <mask> فالفرماسيان ."
example_title: "example2"
--- |
ahmeddbahaa/mT5_multilingual_XLSum-finetuned-en-cnn | c2316e37b3a236cb95559cf40aa7c9673fd2428a | 2022-06-09T06:28:23.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"summarization",
"en",
"Abstractive Summarization",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | summarization | false | ahmeddbahaa | null | ahmeddbahaa/mT5_multilingual_XLSum-finetuned-en-cnn | 10 | null | transformers | 11,902 | ---
tags:
- summarization
- en
- mt5
- Abstractive Summarization
- generated_from_trainer
datasets:
- cnn_dailymail
model-index:
- name: mT5_multilingual_XLSum-finetuned-en-cnn
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pro... |
hossay/distilbert-base-uncased-finetuned-ner | 965bf2583488faa9ec90335b11bb5af7e655dcb9 | 2022-07-13T13:32:51.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | hossay | null | hossay/distilbert-base-uncased-finetuned-ner | 10 | null | transformers | 11,903 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conl... |
ghpkishore/distilbert-base-uncased-finetuned-emotion | e73e8fc09e8234b3b82021ff51ffa300c22f95e2 | 2022-07-22T10:09:57.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | ghpkishore | null | ghpkishore/distilbert-base-uncased-finetuned-emotion | 10 | null | transformers | 11,904 | ---
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... |
mmillet/distilrubert-tiny-cased-conversational-v1_single_finetuned_on_cedr_augmented | 7f7f00822d1ff99e71e01bc674b06b127db040c2 | 2022-06-10T20:27:38.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | mmillet | null | mmillet/distilrubert-tiny-cased-conversational-v1_single_finetuned_on_cedr_augmented | 10 | null | transformers | 11,905 | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: distilrubert-tiny-cased-conversational-v1_single_finetuned_on_cedr_augmented
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should p... |
sasuke/bert-base-uncased-finetuned-sst2 | 68b034e693b214a4d0d89c3e24e13b120f69c869 | 2022-06-16T03:58:09.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | sasuke | null | sasuke/bert-base-uncased-finetuned-sst2 | 10 | null | transformers | 11,906 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: bert-base-uncased-finetuned-sst2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: sst2
metrics:
- name: ... |
orkg/orkgnlp-tdm-extraction | 733949b6dda81ceeb35dfb22db9490c90d68bcc8 | 2022-06-13T16:00:47.000Z | [
"pytorch",
"xlnet",
"text-classification",
"transformers",
"license:mit"
] | text-classification | false | orkg | null | orkg/orkgnlp-tdm-extraction | 10 | null | transformers | 11,907 | ---
license: mit
---
This Repository includes the files required to run the `TDM Extraction` ORKG-NLP service.
Please check [this article](https://orkg-nlp-pypi.readthedocs.io/en/latest/services/services.html) for more details about the service. |
Deborah/bertimbau-finetuned-pos-accelerate2 | 1cbebcaa02c5322df8b2cd20bd8c3c30d88b138b | 2022-06-13T13:21:47.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Deborah | null | Deborah/bertimbau-finetuned-pos-accelerate2 | 10 | null | transformers | 11,908 | Entry not found |
ghadeermobasher/BioNLP13-Modified-PubMedBERT-384 | ba9c741c2983a8819bed47b55025652666238c92 | 2022-06-13T21:45:39.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BioNLP13-Modified-PubMedBERT-384 | 10 | null | transformers | 11,909 | Entry not found |
ghadeermobasher/BC5CDR-Chem-Original-SciBERT-512 | e931ebb74243f4debc1e1c3808e7a74978a8a105 | 2022-06-14T00:13:07.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC5CDR-Chem-Original-SciBERT-512 | 10 | null | transformers | 11,910 | Entry not found |
ghadeermobasher/BC5CDR-Chem-Original-BlueBERT-512 | 49515824527c4c1d8ba3273085046c16621d8480 | 2022-06-14T00:22:24.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC5CDR-Chem-Original-BlueBERT-512 | 10 | null | transformers | 11,911 | Entry not found |
ghadeermobasher/BC5CDR-Chem-Original-BioBERT-512 | bcadd56d47e3356db8056c3020fc1dd7a75afa84 | 2022-06-14T00:24:48.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC5CDR-Chem-Original-BioBERT-512 | 10 | null | transformers | 11,912 | Entry not found |
ahmeddbahaa/xlmroberta2xlmroberta-finetune-summarization-ar | c872b9ce57c13fc105b6929c6017587a21ebe69a | 2022-06-14T16:05:58.000Z | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:xlsum",
"transformers",
"summarization",
"ar",
"xlm-roberta",
"Abstractive Summarization",
"roberta",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | summarization | false | ahmeddbahaa | null | ahmeddbahaa/xlmroberta2xlmroberta-finetune-summarization-ar | 10 | null | transformers | 11,913 | ---
tags:
- summarization
- ar
- encoder-decoder
- xlm-roberta
- Abstractive Summarization
- roberta
- generated_from_trainer
datasets:
- xlsum
model-index:
- name: xlmroberta2xlmroberta-finetune-summarization-ar
results: []
---
<!-- This model card has been generated automatically according to the information the T... |
erickfm/true-sweep-1 | c3a167d88698b45c5fecd651fc122eab31f8603c | 2022-06-15T03:51:23.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | erickfm | null | erickfm/true-sweep-1 | 10 | 1 | transformers | 11,914 | Entry not found |
hossay/biobert-base-cased-v1.2-finetuned-ner | 55ed1aa19bd4d757ca31bf868ff82b86c7687047 | 2022-06-15T07:38:51.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:ncbi_disease",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | hossay | null | hossay/biobert-base-cased-v1.2-finetuned-ner | 10 | null | transformers | 11,915 | ---
tags:
- generated_from_trainer
datasets:
- ncbi_disease
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: biobert-base-cased-v1.2-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: ncbi_disease
type: ncbi_disease
... |
AnyaSchen/rugpt3_tyutchev | 015f7ab0d83bd9eff4ce5bf7a92ef7d6d5009e0d | 2022-06-15T11:33:16.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | AnyaSchen | null | AnyaSchen/rugpt3_tyutchev | 10 | null | transformers | 11,916 | This model was created as a fine-tuned GPT-3 medium model, which is tuned to the style of Tyutchev's poetry in Russian. You can give her a word, a phrase, or just an empty line as an input, and she will give out a poem in the style of Tyutchev.
![alt text](https://lh4.googleusercontent.com/1B05-wqyj_8gI6zTues5f7a1epqk... |
ghadeermobasher/BC5CDR-Chem-Original-BioBERT-384 | 5ada33335ad7eee029a4e76b61c5176479387bd0 | 2022-06-15T13:01:09.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC5CDR-Chem-Original-BioBERT-384 | 10 | null | transformers | 11,917 | Entry not found |
adamlin/question-paraphraser | e7eff5db2f0a792d680c1cd41fc30282862cd32c | 2022-06-16T00:35:09.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"dataset:adamlin/question_augmentation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | adamlin | null | adamlin/question-paraphraser | 10 | null | transformers | 11,918 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- adamlin/question_augmentation
metrics:
- rouge
model-index:
- name: question-paraphraser
results:
- task:
name: Summarization
type: summarization
dataset:
name: adamlin/question_augmentation
type: adamlin/question_augment... |
Afework/t5_boolq | db94925977ed39c03432ff5d76bf21c9c42ca221 | 2022-06-16T16:23:35.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Afework | null | Afework/t5_boolq | 10 | null | transformers | 11,919 | Entry not found |
anantoj/T5-summarizer-simple-wiki | 8e211ba089abee6549308df8745a97f23f434ea7 | 2022-06-16T10:47:42.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | anantoj | null | anantoj/T5-summarizer-simple-wiki | 10 | null | transformers | 11,920 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: results
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. -->
# results
This model is a fi... |
Afework/t5-mcq | 49027311979b5ef9fc6fdfcf807ec8176fb6d711 | 2022-06-16T18:52:15.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Afework | null | Afework/t5-mcq | 10 | null | transformers | 11,921 | Entry not found |
mariolinml/roberta-large-finetuned-chunking | b1422508caa99472f24359dc96b0f6b611e5303f | 2022-06-18T20:09:57.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | mariolinml | null | mariolinml/roberta-large-finetuned-chunking | 10 | null | transformers | 11,922 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: roberta-large-finetuned-chunking
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and co... |
camilag/bertimbau-finetuned-pos-accelerate-5 | 39c7908b15dc5ad877ed20319671f1b349cad0f7 | 2022-06-19T02:24:11.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | camilag | null | camilag/bertimbau-finetuned-pos-accelerate-5 | 10 | null | transformers | 11,923 | Entry not found |
camilag/bertimbau-finetuned-pos-accelerate-6 | 87e70efc2e3be25947e5cdb2b3ad06f25457fc1c | 2022-06-20T23:14:00.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | camilag | null | camilag/bertimbau-finetuned-pos-accelerate-6 | 10 | null | transformers | 11,924 | Entry not found |
scjones/distilbert-base-uncased-finetuned-emotion | f872858c1ae527b2c7a4f6fe1eaeb49fb6c7917f | 2022-06-21T00:16:41.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | scjones | null | scjones/distilbert-base-uncased-finetuned-emotion | 10 | null | transformers | 11,925 | ---
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... |
SISLab/amc-opt-msmd | 5373bac5bc2f17905e0a4c51edfe772109220cf1 | 2022-06-21T11:43:57.000Z | [
"pytorch",
"bert",
"it",
"transformers",
"text-classification",
"sentiment-analysis"
] | text-classification | false | SISLab | null | SISLab/amc-opt-msmd | 10 | null | transformers | 11,926 | ---
tags:
- text-classification
- sentiment-analysis
language:
- "it"
--- |
kktoto/tiny_focal_ckpt | 30688a382ec3f287363f3b2976d2466c5d335bf8 | 2022-06-21T15:05:00.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | kktoto | null | kktoto/tiny_focal_ckpt | 10 | null | transformers | 11,927 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: tiny_focal_ckpt
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. ... |
Jeevesh8/std_0pnt2_bert_ft_cola-35 | 35dd3a62eee243aa1b92c8f499888473f3491b8e | 2022-06-21T13:27:41.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/std_0pnt2_bert_ft_cola-35 | 10 | null | transformers | 11,928 | Entry not found |
Jeevesh8/std_0pnt2_bert_ft_cola-18 | 19e6a8ec6913e87c16066f347e0812f46cc22cdf | 2022-06-21T13:30:08.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/std_0pnt2_bert_ft_cola-18 | 10 | null | transformers | 11,929 | Entry not found |
Jeevesh8/std_0pnt2_bert_ft_cola-26 | d7189315c8182cad18a7839d73b79e6e45b88388 | 2022-06-21T13:28:10.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/std_0pnt2_bert_ft_cola-26 | 10 | null | transformers | 11,930 | Entry not found |
Jeevesh8/std_0pnt2_bert_ft_cola-21 | b9170bc88e91639025982b7d11d176230909fad5 | 2022-06-21T13:28:22.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/std_0pnt2_bert_ft_cola-21 | 10 | null | transformers | 11,931 | Entry not found |
Jeevesh8/std_0pnt2_bert_ft_cola-9 | d061aac8cd1be45073ca1f788d599e515ae7e35d | 2022-06-21T13:31:10.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/std_0pnt2_bert_ft_cola-9 | 10 | null | transformers | 11,932 | Entry not found |
Jeevesh8/std_0pnt2_bert_ft_cola-27 | 9663f06dabf0df15da178dadd13cd4196819953b | 2022-06-21T13:28:11.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/std_0pnt2_bert_ft_cola-27 | 10 | null | transformers | 11,933 | Entry not found |
Jeevesh8/std_0pnt2_bert_ft_cola-8 | 7e161c58e2bac0432ace20a33b94c92c83424f0b | 2022-06-21T13:30:49.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/std_0pnt2_bert_ft_cola-8 | 10 | null | transformers | 11,934 | Entry not found |
Sayan01/tiny-bert-mrpc-distilled | a6848fc64ab85be64b0b18b25d0b541e67c8027a | 2022-07-15T19:32:31.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Sayan01 | null | Sayan01/tiny-bert-mrpc-distilled | 10 | null | transformers | 11,935 | Entry not found |
deepesh0x/autotrain-GlueFineTunedModel-1013533786 | 0a640f183640259de3e9460a674e34f186b3c468 | 2022-06-21T18:05:40.000Z | [
"pytorch",
"bert",
"text-classification",
"unk",
"dataset:deepesh0x/autotrain-data-GlueFineTunedModel",
"transformers",
"autotrain",
"co2_eq_emissions"
] | text-classification | false | deepesh0x | null | deepesh0x/autotrain-GlueFineTunedModel-1013533786 | 10 | 1 | transformers | 11,936 | ---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- deepesh0x/autotrain-data-GlueFineTunedModel
co2_eq_emissions: 57.79463560530838
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1013533786
- CO2 Emissions (in grams): 57.79463560530838
## Validat... |
camilag/bertimbau-finetuned-pos-accelerate-7 | 563bd6b793aeca222dbd8f73881c4c1e1c8c545b | 2022-06-21T21:36:12.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | camilag | null | camilag/bertimbau-finetuned-pos-accelerate-7 | 10 | null | transformers | 11,937 | Entry not found |
bsenker/autotrain-sentanaly-1016134101 | 30617ddcf51d1485037cbb5380d45ae3fc0c3bd4 | 2022-06-22T03:34:19.000Z | [
"pytorch",
"bert",
"text-classification",
"tr",
"dataset:bsenker/autotrain-data-sentanaly",
"transformers",
"autotrain",
"co2_eq_emissions"
] | text-classification | false | bsenker | null | bsenker/autotrain-sentanaly-1016134101 | 10 | null | transformers | 11,938 | ---
tags: autotrain
language: tr
widget:
- text: "I love AutoTrain 🤗"
datasets:
- bsenker/autotrain-data-sentanaly
co2_eq_emissions: 2.4274113973426568
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 1016134101
- CO2 Emissions (in grams): 2.4274113973426568
## Validation M... |
upsalite/bert-base-german-cased-finetuned-emotion-14-labels | 90110bd5b5f4d790a45491e6c969109e64e6f0ba | 2022-06-23T06:25:20.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | upsalite | null | upsalite/bert-base-german-cased-finetuned-emotion-14-labels | 10 | null | transformers | 11,939 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-base-german-cased-finetuned-emotion-14-labels
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it,... |
Zamachi/distillbert-for-multilabel-sentence-classification | be57db01255f3bfc7664131c2893ba34af4d0f59 | 2022-07-12T02:13:34.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | Zamachi | null | Zamachi/distillbert-for-multilabel-sentence-classification | 10 | null | transformers | 11,940 | Entry not found |
truongxl/NER_SucKhoe | 7ece9ef590f6b30b695fb3e663a0dd65fbbef07a | 2022-06-23T07:46:38.000Z | [
"pytorch",
"roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | truongxl | null | truongxl/NER_SucKhoe | 10 | null | transformers | 11,941 | Entry not found |
alk/distilbert-base-uncased-finetuned-header-classifier | 02408556170bfdd599a2e73e71810ac2fe285779 | 2022-06-24T15:26:42.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | alk | null | alk/distilbert-base-uncased-finetuned-header-classifier | 10 | null | transformers | 11,942 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-header-classifier
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... |
emekaboris/codetrans_t5_small_mt_ft_git_diff | 6e407c1cf7fb9b3f9396303f1b35b294a2e91850 | 2022-06-26T17:12:55.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | emekaboris | null | emekaboris/codetrans_t5_small_mt_ft_git_diff | 10 | null | transformers | 11,943 | Entry not found |
alk/roberta-large-mnli-finetuned-header-classifier | e840b52be3c00cf00916111ae6f4a76d5a33649c | 2022-06-28T00:28:10.000Z | [
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | alk | null | alk/roberta-large-mnli-finetuned-header-classifier | 10 | null | transformers | 11,944 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: roberta-large-mnli-finetuned-header-classifier
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. --... |
Yanjie/message-intent-220628 | 130430f94cb316e11cce0c24b2c4b35493ff88fe | 2022-06-28T18:18:11.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | Yanjie | null | Yanjie/message-intent-220628 | 10 | null | transformers | 11,945 | Entry not found |
elliotthwang/mt5-small-finetuned-tradition-zh | fd8a3eacff61a45548bd7948b9bbe359ffd6ad7a | 2022-07-18T16:44:21.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"dataset:xlsum",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | elliotthwang | null | elliotthwang/mt5-small-finetuned-tradition-zh | 10 | null | transformers | 11,946 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- xlsum
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-tradition-zh
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: xlsum
type: xlsum
args: chinese_tr... |
Jeevesh8/goog_bert_ft_cola-7 | 66a8aa4e6d06b54bd1a491789379f50fddf18b9d | 2022-06-29T17:31:48.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-7 | 10 | null | transformers | 11,947 | Entry not found |
Jeevesh8/goog_bert_ft_cola-6 | 1a68ef290e72f49843b9150bdcb76b2d0d62e9d6 | 2022-06-29T17:31:38.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-6 | 10 | null | transformers | 11,948 | Entry not found |
Jeevesh8/goog_bert_ft_cola-8 | f1070a84051eb63412d0e33cae466237b3c33717 | 2022-06-29T17:32:13.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-8 | 10 | null | transformers | 11,949 | Entry not found |
Jeevesh8/goog_bert_ft_cola-10 | 87d3d8fa6981ea8e3328010d2355c619a2b64d69 | 2022-06-29T17:32:18.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-10 | 10 | null | transformers | 11,950 | Entry not found |
Jeevesh8/goog_bert_ft_cola-9 | 9e2e9c03f07bce387581536cf8df69cfbd52c75b | 2022-06-29T17:32:17.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-9 | 10 | null | transformers | 11,951 | Entry not found |
Jeevesh8/goog_bert_ft_cola-12 | 596d4a373bde6d85b424569ab704cb1ba986e6ac | 2022-06-29T17:33:27.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-12 | 10 | null | transformers | 11,952 | Entry not found |
Jeevesh8/goog_bert_ft_cola-13 | f5cb60504d27224fa472e31d31f152c5049f19f2 | 2022-06-29T17:33:33.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-13 | 10 | null | transformers | 11,953 | Entry not found |
Jeevesh8/goog_bert_ft_cola-17 | 8ef6b9dc80d167b6be50878015d7e758dfc989a1 | 2022-06-29T17:37:37.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-17 | 10 | null | transformers | 11,954 | Entry not found |
Jeevesh8/goog_bert_ft_cola-14 | dd45bf27f031e4f5b7585576d55d12c55de43dda | 2022-06-29T17:33:41.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-14 | 10 | null | transformers | 11,955 | Entry not found |
Jeevesh8/goog_bert_ft_cola-18 | dbb7db9c5b2849188c246b8f5b75f705338d4979 | 2022-06-29T17:33:45.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-18 | 10 | null | transformers | 11,956 | Entry not found |
Jeevesh8/goog_bert_ft_cola-11 | bb316f001706a9fbca697468b6d25838c084ca59 | 2022-06-29T17:37:53.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-11 | 10 | null | transformers | 11,957 | Entry not found |
Jeevesh8/goog_bert_ft_cola-15 | 29dc5ef3c279e61bbc1d1a2610f1cd580cfbfe51 | 2022-06-29T17:33:44.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-15 | 10 | null | transformers | 11,958 | Entry not found |
Jeevesh8/goog_bert_ft_cola-19 | 5c6a378347af81cdbe7a47b10faff392b3229d6e | 2022-06-29T17:33:04.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-19 | 10 | null | transformers | 11,959 | Entry not found |
Jeevesh8/goog_bert_ft_cola-25 | 7fa43f20fdc97fbd165020530f36f1641e6f928d | 2022-06-29T17:33:47.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-25 | 10 | null | transformers | 11,960 | Entry not found |
Jeevesh8/goog_bert_ft_cola-27 | a2435f85c89342fccf6c0e4e8813cf1478fa3247 | 2022-06-29T17:33:52.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-27 | 10 | null | transformers | 11,961 | Entry not found |
Jeevesh8/goog_bert_ft_cola-26 | 20d68c14493b5373f1a535e888c8eb6557b4514f | 2022-06-29T17:34:01.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-26 | 10 | null | transformers | 11,962 | Entry not found |
Jeevesh8/goog_bert_ft_cola-44 | 305b4d1e8e1290ed0168f8ee061e77b29271ae63 | 2022-06-29T17:34:06.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-44 | 10 | null | transformers | 11,963 | Entry not found |
Jeevesh8/goog_bert_ft_cola-23 | 605ac934ddc1f09791cf72ed45dac88cda4f00de | 2022-06-29T17:33:06.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-23 | 10 | null | transformers | 11,964 | Entry not found |
Jeevesh8/goog_bert_ft_cola-45 | 2e26c5fa1f40d305549fd6307187c85a83af03b7 | 2022-06-29T17:34:04.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-45 | 10 | null | transformers | 11,965 | Entry not found |
Jeevesh8/goog_bert_ft_cola-51 | b37a7d3489fa1a382a90aa3d03d41c16aca7a0f8 | 2022-06-29T17:34:28.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-51 | 10 | null | transformers | 11,966 | Entry not found |
Jeevesh8/goog_bert_ft_cola-55 | 818acc260c90ccf72dbe52d3fd1f4e540b16f390 | 2022-06-29T17:34:26.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-55 | 10 | null | transformers | 11,967 | Entry not found |
Jeevesh8/goog_bert_ft_cola-65 | 58bced61e2f2086632303ddf408108bd1b45dc99 | 2022-06-29T17:35:34.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-65 | 10 | null | transformers | 11,968 | Entry not found |
Jeevesh8/goog_bert_ft_cola-61 | c0c07f02e0b60486a31d87aa006f5e6a3a2c8761 | 2022-06-29T17:33:17.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-61 | 10 | null | transformers | 11,969 | Entry not found |
Jeevesh8/goog_bert_ft_cola-91 | 2cf88589e2b755bbb1e038a357db8150d15207e4 | 2022-06-29T17:34:06.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-91 | 10 | null | transformers | 11,970 | Entry not found |
Jeevesh8/goog_bert_ft_cola-89 | 74fbd5939f5977c5a11ad0595d272045dcb5f320 | 2022-06-29T17:35:51.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-89 | 10 | null | transformers | 11,971 | Entry not found |
Jeevesh8/goog_bert_ft_cola-90 | df9c407117482542e78b8c053b4fcc6e9ea0c026 | 2022-06-29T17:35:55.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-90 | 10 | null | transformers | 11,972 | Entry not found |
Jeevesh8/goog_bert_ft_cola-88 | 226ea54a4932f2559f4b5b776378fe9665485ad6 | 2022-06-29T17:33:47.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-88 | 10 | null | transformers | 11,973 | Entry not found |
Jeevesh8/goog_bert_ft_cola-93 | 251cd09a7a88fbb99e332bc3e75dfa207be396d6 | 2022-06-29T17:35:52.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-93 | 10 | null | transformers | 11,974 | Entry not found |
Jeevesh8/goog_bert_ft_cola-85 | eefb3b2225abbb0bee6981e301cfa8384da2be73 | 2022-06-29T17:34:00.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-85 | 10 | null | transformers | 11,975 | Entry not found |
Jeevesh8/goog_bert_ft_cola-99 | edb78e09f80b4ea8a008a370635bc74f7386c197 | 2022-06-29T17:38:19.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-99 | 10 | null | transformers | 11,976 | Entry not found |
Jeevesh8/goog_bert_ft_cola-95 | 4b4bd5e1ffaab8fd01a70c6e2d1ac0c104994737 | 2022-06-29T17:36:03.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-95 | 10 | null | transformers | 11,977 | Entry not found |
Jeevesh8/goog_bert_ft_cola-98 | 1ba5408f6145fa7649ec325988018911d888f2ca | 2022-06-29T17:38:32.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-98 | 10 | null | transformers | 11,978 | Entry not found |
Jeevesh8/goog_bert_ft_cola-94 | 0ba5e20f1461331e1076eeb66a1b27837cdd2ec3 | 2022-06-29T17:38:33.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-94 | 10 | null | transformers | 11,979 | Entry not found |
luffycodes/t5_small_v51 | 3b411e163d899e8136e375991b435d10363d29eb | 2022-07-11T10:15:07.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | luffycodes | null | luffycodes/t5_small_v51 | 10 | null | transformers | 11,980 | Entry not found |
Luojike/autotrain-test_3-1071537591 | edeced2fb9f06d276bf38d024f7ebebc64f6da04 | 2022-07-01T15:04:07.000Z | [
"pytorch",
"bert",
"text-classification",
"unk",
"dataset:Luojike/autotrain-data-test_3",
"transformers",
"autotrain",
"co2_eq_emissions"
] | text-classification | false | Luojike | null | Luojike/autotrain-test_3-1071537591 | 10 | null | transformers | 11,981 | ---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- Luojike/autotrain-data-test_3
co2_eq_emissions: 0.03985401798934018
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1071537591
- CO2 Emissions (in grams): 0.03985401798934018
## Validation Metric... |
amasi/wikineural-multilingual-ner | 88a0bd54b5a1594a9972ba3c063057784678e957 | 2022-07-03T19:40:00.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | amasi | null | amasi/wikineural-multilingual-ner | 10 | null | transformers | 11,982 | Entry not found |
Kayvane/distilbert-complaints-wandb-product | b362343b328d34dc7ee6a41a51ee6f76a6bc4085 | 2022-07-04T10:52:27.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:consumer-finance-complaints",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Kayvane | null | Kayvane/distilbert-complaints-wandb-product | 10 | null | transformers | 11,983 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- consumer-finance-complaints
metrics:
- accuracy
- f1
- recall
- precision
model-index:
- name: distilbert-complaints-wandb-product
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: consumer-fin... |
ghadeermobasher/BioRed-Chem-Original-PubMedBERT-320-8 | e89458523e371403321ab4e2e3bf163510768a4a | 2022-07-04T13:20:01.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BioRed-Chem-Original-PubMedBERT-320-8 | 10 | null | transformers | 11,984 | Entry not found |
ghadeermobasher/BioRed-Chem-Modified-PubMedBERT-320-8 | cb4eadfec36514be8bede9ef665f56d8a6333466 | 2022-07-04T13:20:40.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BioRed-Chem-Modified-PubMedBERT-320-8 | 10 | null | transformers | 11,985 | Entry not found |
ghadeermobasher/BioRed-Chem-Original-PubMedBERT-128-32 | 6dd0076c4c22bc154acbda14578d079ce6275df5 | 2022-07-04T13:25:34.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BioRed-Chem-Original-PubMedBERT-128-32 | 10 | null | transformers | 11,986 | Entry not found |
sepidmnorozy/finetuned-sentiment-withGPU | dadb4575d330a784969b0335a36ba0ae38c3eee6 | 2022-07-04T14:01:11.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | sepidmnorozy | null | sepidmnorozy/finetuned-sentiment-withGPU | 10 | null | transformers | 11,987 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: finetuning-sentiment-model-10-samples_withGPU
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread ... |
Chirayu/subject-generator-t5-base | a84f4bf6aaf7103d762800b185a6edb5a559c173 | 2022-07-12T10:33:42.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Chirayu | null | Chirayu/subject-generator-t5-base | 10 | null | transformers | 11,988 | # What does this model do?
This model generates a subject line for the email, given the whole email as input. It is fine-tuned T5-Base
Here is how to use this model
```python
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
import torch
model = AutoModelForSeq2SeqLM.from_pretrained("Chirayu/subject-gen... |
ghadeermobasher/BioRed-Chem-Original-PubMedBERT-128-10 | 3ccf9e1c318233aed127262cf8ac8b2d72579ae8 | 2022-07-04T14:31:53.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BioRed-Chem-Original-PubMedBERT-128-10 | 10 | null | transformers | 11,989 | Entry not found |
ghadeermobasher/BioRed-Chem-Original-PubMedBERT-256-40 | 662503660a17570b86707f956c96d8492d292113 | 2022-07-05T12:14:57.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BioRed-Chem-Original-PubMedBERT-256-40 | 10 | null | transformers | 11,990 | Entry not found |
domenicrosati/deberta-v3-xsmall-with-biblio-context-finetuned-review_classifier | 04ef7381857ac5e8cca24ec397b2f05476647fec | 2022-07-07T05:12:58.000Z | [
"pytorch",
"tensorboard",
"deberta-v2",
"transformers",
"text-classification",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | domenicrosati | null | domenicrosati/deberta-v3-xsmall-with-biblio-context-finetuned-review_classifier | 10 | null | transformers | 11,991 | ---
license: mit
tags:
- text-classification
- generated_from_trainer
metrics:
- accuracy
- f1
- recall
- precision
model-index:
- name: deberta-v3-xsmall-with-biblio-context-finetuned-review_classifier
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had... |
f00d/distilroberta-base-finetuned-wikitext2 | a2a9b78dd3a8b524b930dcd71cea17db50863084 | 2022-07-06T10:02:54.000Z | [
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | f00d | null | f00d/distilroberta-base-finetuned-wikitext2 | 10 | null | transformers | 11,992 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-finetuned-wikitext2
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. -->... |
mbshr/urt5-base-finetuned | c19132e2e1d37ab0307220f560cdba3388e64188 | 2022-07-06T19:49:23.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | mbshr | null | mbshr/urt5-base-finetuned | 10 | null | transformers | 11,993 | Entry not found |
ghadeermobasher/BioRed-Chem-Original-PubMedBERT-512-5-30 | 74d53f6fecfa1c948d71c0723233fea48b3bc113 | 2022-07-07T14:20:09.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BioRed-Chem-Original-PubMedBERT-512-5-30 | 10 | null | transformers | 11,994 | Entry not found |
dminiotas05/distilbert-base-uncased-finetuned-ft500_6class600 | 836385f37f9ec92cb23d0452601bf675b9ecca79 | 2022-07-07T13:23:59.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | dminiotas05 | null | dminiotas05/distilbert-base-uncased-finetuned-ft500_6class600 | 10 | null | transformers | 11,995 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-ft500_6class600
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and comple... |
akhisreelibra/mt5-small-finetuned-oneindia | 8690764e4b598b2aa6d94d4af20b86df043fe06c | 2022-07-08T01:05:04.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | akhisreelibra | null | akhisreelibra/mt5-small-finetuned-oneindia | 10 | null | transformers | 11,996 | |
kwmr/wav2vec2_japanese | f7b020bbe975d54cc9e767a2880695121fd82d97 | 2022-07-07T20:33:05.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | kwmr | null | kwmr/wav2vec2_japanese | 10 | 2 | transformers | 11,997 | ## Wav2Vec2.0 XLSR-53 large model の日本語 Fine Tuning モデル
[facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53)を日本語用にFine Tuningしたモデル
## 使用データセット
- [Common Voice](https://commonvoice.mozilla.org/ja)
## 使い方
```python
from transformers import Wav2Vec2Processor, Wav2Vec2ForCTC
from datas... |
dminiotas05/distilbert-base-uncased-finetuned-ft650_6class | 1f59f4e2e98fa2960c0291cd7654806a33f72425 | 2022-07-08T12:11:05.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | dminiotas05 | null | dminiotas05/distilbert-base-uncased-finetuned-ft650_6class | 10 | null | transformers | 11,998 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-ft650_6class
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete ... |
steven123/Check_Missing_Teeth | c185ff48cfeabbe5cd88fb79c509782264c058a2 | 2022-07-08T22:59:30.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | steven123 | null | steven123/Check_Missing_Teeth | 10 | null | transformers | 11,999 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: Check_Missing_Teeth
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9375
---
# Check_Missing_Teeth
Auto... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.