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tbosse/bert-base-german-cased-noisy-pretrain-fine-tuned_v1.2 | 67d323d69c21de5bcebfa2cec5703dcd2e357a2e | 2022-05-28T00:44:34.000Z | [
"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_v1.2 | 12 | null | transformers | 10,800 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-german-cased-noisy-pretrain-fine-tuned_v1.2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably pr... |
tbosse/bert-base-german-cased-noisy-pretrain-fine-tuned_v1.1 | 3bf89cfedc35887b8791d0513203533b91cd7a23 | 2022-05-28T00:55:39.000Z | [
"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_v1.1 | 12 | null | transformers | 10,801 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-german-cased-noisy-pretrain-fine-tuned_v1.1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably pr... |
CH0KUN/autotrain-TNC_Domain_WangchanBERTa-921730254 | 717c70412daf75b5670678e02d7abf451f1cf5f5 | 2022-05-28T12:04:53.000Z | [
"pytorch",
"camembert",
"text-classification",
"unk",
"dataset:CH0KUN/autotrain-data-TNC_Domain_WangchanBERTa",
"transformers",
"autotrain",
"co2_eq_emissions"
] | text-classification | false | CH0KUN | null | CH0KUN/autotrain-TNC_Domain_WangchanBERTa-921730254 | 12 | null | transformers | 10,802 | ---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- CH0KUN/autotrain-data-TNC_Domain_WangchanBERTa
co2_eq_emissions: 25.144394918865913
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 921730254
- CO2 Emissions (in grams): 25.144394918865913
#... |
LinaR/t5-base-medium-title-generation | 6f1f242423eb0ed095194d71c230de11df267703 | 2022-05-28T12:27:56.000Z | [
"pytorch",
"tf",
"t5",
"text2text-generation",
"transformers",
"generated_from_keras_callback",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | LinaR | null | LinaR/t5-base-medium-title-generation | 12 | null | transformers | 10,803 | ---
tags:
- generated_from_keras_callback
model-index:
- name: t5-base-medium-title-generation
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# t5-base-medium-title-g... |
batya66/bert-finetuned-ner | 591d1f808bd28e4961342fe157adbd611e033f7f | 2022-05-31T12:02:04.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | batya66 | null | batya66/bert-finetuned-ner | 12 | null | transformers | 10,804 | ---
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... |
YeRyeongLee/bert-large-uncased-finetuned-filtered-0602 | f990fdeae3d8a80aa0eaa34792771fa83806cde5 | 2022-06-01T22:57:54.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | YeRyeongLee | null | YeRyeongLee/bert-large-uncased-finetuned-filtered-0602 | 12 | null | transformers | 10,805 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-large-uncased-finetuned-filtered-0602
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, ... |
JXL884/distilbert-base-uncased-finetuned-emotion | 3484ce4ede20e070fafc972f23d96f7def7975f8 | 2022-06-02T02:14:26.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | JXL884 | null | JXL884/distilbert-base-uncased-finetuned-emotion | 12 | null | transformers | 10,806 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
model-index:
- name: distilbert-base-uncased-finetuned-emotion
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 r... |
kktoto/tiny_ktoto_punctuator | 40605dcc630b08a5eb8fa6f6ab9bf5aca134f257 | 2022-06-02T03:54:44.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | kktoto | null | kktoto/tiny_ktoto_punctuator | 12 | null | transformers | 10,807 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: tiny_ktoto_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 com... |
PontifexMaximus/opus-mt-iir-en-finetuned-fa-to-en-finetuned-fa-to-en | fd77e8a0f3fd094cb31c4933723ddb25545c9227 | 2022-06-03T10:51:44.000Z | [
"pytorch",
"tensorboard",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | PontifexMaximus | null | PontifexMaximus/opus-mt-iir-en-finetuned-fa-to-en-finetuned-fa-to-en | 12 | null | transformers | 10,808 | Entry not found |
SimulSt/distilbert-base-uncased-finetuned-emotion | fbcf0c2ed101a6aaf6b00ccce527049f78ccf301 | 2022-06-06T13:24:23.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | SimulSt | null | SimulSt/distilbert-base-uncased-finetuned-emotion | 12 | null | transformers | 10,809 | ---
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... |
santiviquez/bart-base-finetuned-samsum-en | 1021f8c0b1161e0c43c5d346e056b3e63e007725 | 2022-06-27T20:55:10.000Z | [
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"dataset:samsum",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | santiviquez | null | santiviquez/bart-base-finetuned-samsum-en | 12 | null | transformers | 10,810 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: bart-base-finetuned-samsum-en
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: samsum
type: samsum
... |
kktoto/wwdd_tiny | 6a56d1fc1b7781ed8da1ad77ca38a149ee499143 | 2022-06-04T13:45:05.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | kktoto | null | kktoto/wwdd_tiny | 12 | null | transformers | 10,811 | Entry not found |
juancavallotti/t5-small-gec | 7bafa50ee7e83248fecedfd4cd3ce3ba004fc2ef | 2022-06-05T01:51:04.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | juancavallotti | null | juancavallotti/t5-small-gec | 12 | null | transformers | 10,812 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-gec
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-small-gec
This mod... |
espejelomar/sentece-embeddings-BETO | b93a4d25f37360c1ebdbc1912100d3c1a70d0af4 | 2022-06-05T05:32:59.000Z | [
"pytorch",
"bert",
"feature-extraction",
"dataset:flax-sentence-embeddings/stackexchange_xml",
"dataset:code_search_net",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | espejelomar | null | espejelomar/sentece-embeddings-BETO | 12 | null | sentence-transformers | 10,813 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
datasets:
- flax-sentence-embeddings/stackexchange_xml
- code_search_net
---
# espejelomar/sentece-embeddings-BETO
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sente... |
gokuls/tiny-bert-sst2-distilled-model | d403d363429d84e29ea984c56119b572e7cab5e0 | 2022-06-06T01:31:55.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | gokuls | null | gokuls/tiny-bert-sst2-distilled-model | 12 | null | transformers | 10,814 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: tiny-bert-sst2-distilled-model
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: sst2
metrics:
- name: Ac... |
PontifexMaximus/mt5-base-parsinlu-opus-translation_fa_en-finetuned-fa-to-en | fb769c174971f0aa96447960b34ee20c7c6abd65 | 2022-06-06T07:26:12.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | PontifexMaximus | null | PontifexMaximus/mt5-base-parsinlu-opus-translation_fa_en-finetuned-fa-to-en | 12 | null | transformers | 10,815 | Entry not found |
inokufu/bert-base-uncased-xnli-sts-finetuned-education | 78279b6df52e606c2024fbbf1f71df24b82f913b | 2022-06-07T16:39:43.000Z | [
"pytorch",
"bert",
"feature-extraction",
"en",
"dataset:xnli",
"dataset:stsb_multi_mt",
"arxiv:1810.04805",
"arxiv:1809.05053",
"sentence-transformers",
"sentence-similarity",
"transformers",
"Education",
"xnli",
"stsb_multi_mt"
] | sentence-similarity | false | inokufu | null | inokufu/bert-base-uncased-xnli-sts-finetuned-education | 12 | null | sentence-transformers | 10,816 | ---
pipeline_tag: sentence-similarity
language: en
tags:
- sentence-similarity
- transformers
- Education
- en
- bert
- sentence-transformers
- feature-extraction
- xnli
- stsb_multi_mt
datasets:
- xnli
- stsb_multi_mt
---
# inokufu/bertheo-en
A [sentence-transformers](https://www.SBERT.net) model fine-tuned on cours... |
ghadeermobasher/Original-BioBERT-BC5CDR-Disease | 45303d42061def853ab6f40264a20ff7c73ab7da | 2022-06-09T11:08:54.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/Original-BioBERT-BC5CDR-Disease | 12 | null | transformers | 10,817 | Entry not found |
ghadeermobasher/WLT-BlueBERT-BC5CDR-Chemical | 19c4ba1c52f325b04f1006547dc7992605dbddbb | 2022-06-09T11:51:28.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/WLT-BlueBERT-BC5CDR-Chemical | 12 | null | transformers | 10,818 | Entry not found |
ghadeermobasher/Original-BioBERT-BC5CDR-Chemical | 935286adcee6936f4934142920bda3ad604f4fca | 2022-06-09T11:52:23.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/Original-BioBERT-BC5CDR-Chemical | 12 | null | transformers | 10,819 | Entry not found |
ghadeermobasher/Original-BioBERT-BC2GM | d8f3fb28745873691c37822c1bd5b4f6b7fa7363 | 2022-06-09T14:21:48.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/Original-BioBERT-BC2GM | 12 | null | transformers | 10,820 | Entry not found |
ghadeermobasher/Original-BioBERT-Linnaeus | a9dba32da24e0726f1dfb27895d3c08114132e94 | 2022-06-09T14:58:41.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/Original-BioBERT-Linnaeus | 12 | null | transformers | 10,821 | Entry not found |
speechbrain/asr-wav2vec2-dvoice-wolof | f6386c7c01da9cc8e483fd37d5dde8c3783adfe1 | 2022-06-10T00:56:54.000Z | [
"wav2vec2",
"feature-extraction",
"wo",
"dataset:Dvoice",
"speechbrain",
"CTC",
"pytorch",
"Transformer",
"license:apache-2.0",
"automatic-speech-recognition"
] | automatic-speech-recognition | false | speechbrain | null | speechbrain/asr-wav2vec2-dvoice-wolof | 12 | null | speechbrain | 10,822 | ---
language: "wo"
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" frameborder... |
Deborah/bertimbau-finetuned-pos-accelerate | f89c65d9ff974c1339b253332d7a5beeed166636 | 2022-06-13T00:14:39.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Deborah | null | Deborah/bertimbau-finetuned-pos-accelerate | 12 | null | transformers | 10,823 | Entry not found |
hckhck/AI_Education | 9ac244207da302af163aa1dac2ae44b1d10c9f96 | 2022-06-13T07:38:28.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"license:afl-3.0"
] | text-generation | false | hckhck | null | hckhck/AI_Education | 12 | null | transformers | 10,824 | ---
license: afl-3.0
---
|
ghadeermobasher/CRAFT-Modified-BlueBERT-512 | 965125cbb5221ec44749e6171b3d35ed59b8652d | 2022-06-14T00:11:19.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/CRAFT-Modified-BlueBERT-512 | 12 | null | transformers | 10,825 | Entry not found |
ghadeermobasher/BC5CDR-Chem-Modified-BioBERT-512 | 62b0040c60a1869b1989fec5469fe49844e15365 | 2022-06-13T23:09:02.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC5CDR-Chem-Modified-BioBERT-512 | 12 | null | transformers | 10,826 | Entry not found |
ghadeermobasher/BC4CHEMD-Chem-Modified-SciBERT-512 | 659570b8433dbd04312b3aed72f52ff66c88bcd7 | 2022-06-14T09:45:52.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC4CHEMD-Chem-Modified-SciBERT-512 | 12 | null | transformers | 10,827 | Entry not found |
ghadeermobasher/BC4CHEMD-Chem-Original-SciBERT-512 | 62f88eeb010c4cb038bc43fad5272999b0889594 | 2022-06-14T09:49:36.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC4CHEMD-Chem-Original-SciBERT-512 | 12 | null | transformers | 10,828 | Entry not found |
ghadeermobasher/BC5CDR-Chem-Original-BlueBERT-384 | b8c6614c6c71828dab68cdfa06545541fc33e347 | 2022-06-14T01:43:11.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC5CDR-Chem-Original-BlueBERT-384 | 12 | null | transformers | 10,829 | Entry not found |
corgito/finetuning-sentiment-model-3000-samples | 61eabcd3f5b366aac66fdad2f4ee3d17a6234a5c | 2022-06-15T02:09:05.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | corgito | null | corgito/finetuning-sentiment-model-3000-samples | 12 | null | transformers | 10,830 | ---
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... |
ghadeermobasher/BC5CDR-Chem-Modified-BioBERT-384 | dda45ae9e8d9ff94798bfa637d1b6fdc7455ca4d | 2022-06-15T10:48:08.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC5CDR-Chem-Modified-BioBERT-384 | 12 | null | transformers | 10,831 | Entry not found |
ghadeermobasher/BC5CD-Chem-Modified-PubMedBERT-512 | 31767604ce9b1f2db4dd1061145e0e35a7051310 | 2022-06-15T11:22:12.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC5CD-Chem-Modified-PubMedBERT-512 | 12 | null | transformers | 10,832 | Entry not found |
AidenWilliams/wav2vec2-xls-r-300m-mt-50 | dd6738a52c4a9389ef58001d2e8ad960e4a07d9b | 2022-07-25T13:03:47.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"mt",
"dataset:mozilla-foundation/common_voice_7_0",
"dataset:MASRI-HEADSET-V2",
"transformers",
"generated_from_trainer",
"low-resource",
"model-index"
] | automatic-speech-recognition | false | AidenWilliams | null | AidenWilliams/wav2vec2-xls-r-300m-mt-50 | 12 | null | transformers | 10,833 | |
microsoft/swinv2-base-patch4-window12to24-192to384-22kto1k-ft | 6692b9ab6094e3fd4d0dc92a32c5e60c3e47d140 | 2022-07-09T06:22:34.000Z | [
"pytorch",
"swinv2",
"transformers"
] | null | false | microsoft | null | microsoft/swinv2-base-patch4-window12to24-192to384-22kto1k-ft | 12 | null | transformers | 10,834 | Entry not found |
Rajesh222/distilbert-base-uncased-finetuned-emotion | fa7ce29d5078b446840ccaed1c0a72d202a1027a | 2022-06-16T14:05:04.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Rajesh222 | null | Rajesh222/distilbert-base-uncased-finetuned-emotion | 12 | null | transformers | 10,835 | ---
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... |
KoichiYasuoka/deberta-large-japanese-aozora-ud-head | e7e4516cb4eec31179c1aaf4f5e3a904c4eb4c7a | 2022-07-23T14:43:58.000Z | [
"pytorch",
"deberta-v2",
"question-answering",
"ja",
"dataset:universal_dependencies",
"transformers",
"japanese",
"dependency-parsing",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | question-answering | false | KoichiYasuoka | null | KoichiYasuoka/deberta-large-japanese-aozora-ud-head | 12 | null | transformers | 10,836 | ---
language:
- "ja"
tags:
- "japanese"
- "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"
- text: "の"
c... |
Hardeep/distilbert-base-uncased-finetuned-emotion | ee1699b1c8bb90e4b2ecdcbe4c8fadde18fb98d6 | 2022-06-19T03:39:41.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Hardeep | null | Hardeep/distilbert-base-uncased-finetuned-emotion | 12 | null | transformers | 10,837 | ---
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... |
Danastos/dpr_passage_el_1 | 7973271412ffa4c96b3d1b3388025cf00042835b | 2022-06-19T20:46:37.000Z | [
"pytorch",
"bert",
"pretraining",
"transformers"
] | null | false | Danastos | null | Danastos/dpr_passage_el_1 | 12 | null | transformers | 10,838 | Entry not found |
swardiantara/distilbert-base-cased-finetuned-ner | e98f4c2f19a2b840bac3e1b7afa1bc42c07f9056 | 2022-07-14T08:07:57.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | swardiantara | null | swardiantara/distilbert-base-cased-finetuned-ner | 12 | null | transformers | 10,839 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-base-cased-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2... |
Jeevesh8/std_0pnt2_bert_ft_cola-48 | 5e41e259e00ca08384a1fbce176411e2cfe7cd9c | 2022-06-21T13:33:45.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/std_0pnt2_bert_ft_cola-48 | 12 | null | transformers | 10,840 | Entry not found |
Jeevesh8/std_0pnt2_bert_ft_cola-55 | 8c705a570df8410562e29295c1bdc14f2f64ffe2 | 2022-06-21T13:30:12.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/std_0pnt2_bert_ft_cola-55 | 12 | null | transformers | 10,841 | Entry not found |
Jeevesh8/std_0pnt2_bert_ft_cola-52 | 0eacc37454ff9511fd6ab270e15b30708fcb523d | 2022-06-21T13:28:23.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/std_0pnt2_bert_ft_cola-52 | 12 | null | transformers | 10,842 | Entry not found |
CobaltAlchemist/Toxicbot | bd43ecdb81b2135e661affe8d40beac8d573f01e | 2022-06-24T06:59:40.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers",
"license:gpl-3.0"
] | text-classification | false | CobaltAlchemist | null | CobaltAlchemist/Toxicbot | 12 | null | transformers | 10,843 | ---
license: gpl-3.0
widget:
- text: "I like you. </s></s> I love you."
---
|
javind/pegasus-xsum-ytubenewssum | 430ba226cff539aacf37874708b46ab4c16affa8 | 2022-07-02T09:08:23.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"license:unlicense",
"autotrain_compatible"
] | text2text-generation | false | javind | null | javind/pegasus-xsum-ytubenewssum | 12 | null | transformers | 10,844 | ---
license: unlicense
---
|
smangrul/Chat-E | 1f28f1516b7d8938247cf9b68cb3ba4118c677dd | 2022-06-26T09:40:58.000Z | [
"pytorch",
"blenderbot",
"text2text-generation",
"transformers",
"license:cc-by-nc-4.0",
"autotrain_compatible"
] | text2text-generation | false | smangrul | null | smangrul/Chat-E | 12 | null | transformers | 10,845 | ---
license: cc-by-nc-4.0
---
|
tsantosh7/Bailii-Roberta | 17b595455cced13c3760d3f844fdb66b7ddeb71c | 2022-06-26T15:09:54.000Z | [
"pytorch",
"roberta",
"fill-mask",
"en",
"arxiv:1907.11692",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | tsantosh7 | null | tsantosh7/Bailii-Roberta | 12 | null | transformers | 10,846 | ---
license: apache-2.0
tags:
- fill-mask
language:
- en
widget:
- text: "He carefully assessed the financial position of the <mask> disclosed within its accounts, including its pension scheme liabilities."
- text: "Moreover, she had chosen not to give <mask> and therefore had not provided any innocent explanation of... |
Leo2001/ArmSpellChecker | 4c3a663ae302507712704e5c315832f1d523cdad | 2022-06-29T07:54:19.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | Leo2001 | null | Leo2001/ArmSpellChecker | 12 | null | transformers | 10,847 | ---
license: mit
---
|
Salvatore/bert-finetuned-mutation-recognition-3 | 66e4d886aa9a8baf5e06967bce7c613ae7f95f15 | 2022-06-29T14:51:06.000Z | [
"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-3 | 12 | null | transformers | 10,848 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-mutation-recognition-3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread a... |
Salvatore/bert-finetuned-mutation-recognition-4 | 118eed2bb3500abe2016927c0f205060a9aad884 | 2022-06-29T15:20:45.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Salvatore | null | Salvatore/bert-finetuned-mutation-recognition-4 | 12 | null | transformers | 10,849 | Entry not found |
sanchit-gandhi/wav2vec2-2-bart-large-tedlium | 6652985c97ae5f582b86a3b8887a6e8672795845 | 2022-07-04T12:42:08.000Z | [
"pytorch",
"jax",
"speech-encoder-decoder",
"automatic-speech-recognition",
"en",
"dataset:LIUM/tedlium",
"transformers",
"license:cc-by-4.0"
] | automatic-speech-recognition | false | sanchit-gandhi | null | sanchit-gandhi/wav2vec2-2-bart-large-tedlium | 12 | 1 | transformers | 10,850 | ---
language:
- en
tags:
- automatic-speech-recognition
datasets:
- LIUM/tedlium
license: cc-by-4.0
metrics:
- name: Dev WER
type: wer
value: 9.0
- name: Test WER
type: wer
value: 6.4
---
## Wav2Vec2-2-Bart-Large-Tedlium
This model is a sequence-2-sequence (seq2seq) model trained on the [TEDLIUM](https://hu... |
Jeevesh8/goog_bert_ft_cola-16 | 75850edf9684a47324724b786027dc419fb4d94e | 2022-06-29T17:33:41.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-16 | 12 | null | transformers | 10,851 | Entry not found |
Jeevesh8/goog_bert_ft_cola-24 | 9775d864adc37889b2c8ed65ecad915cce7152a9 | 2022-06-29T17:33:13.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Jeevesh8 | null | Jeevesh8/goog_bert_ft_cola-24 | 12 | null | transformers | 10,852 | Entry not found |
javind/bart-large-cnn-ytubenewssum | ecd4dfef91c4b168e1d1550761efd17e682a06c8 | 2022-07-02T09:12:22.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"license:unlicense",
"autotrain_compatible"
] | text2text-generation | false | javind | null | javind/bart-large-cnn-ytubenewssum | 12 | null | transformers | 10,853 | ---
license: unlicense
---
|
javind/t5-base-ytubenewssum | 0f3324f269c47da14c82afcecd908ea8a81ab415 | 2022-07-02T09:15:47.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"license:unlicense",
"autotrain_compatible"
] | text2text-generation | false | javind | null | javind/t5-base-ytubenewssum | 12 | null | transformers | 10,854 | ---
license: unlicense
---
|
tau/spider-trivia-question-encoder | 5ea2279cb019154681c9a530e2b7c54d4953dc5e | 2022-07-04T06:59:40.000Z | [
"pytorch",
"dpr",
"feature-extraction",
"transformers"
] | feature-extraction | false | tau | null | tau/spider-trivia-question-encoder | 12 | null | transformers | 10,855 | Entry not found |
ghadeermobasher/BioRed-Chem-Modified-PubMedBERT-256-40 | 3fc44537ddd313d7e8835eb6549c358743a4febc | 2022-07-05T12:13:55.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BioRed-Chem-Modified-PubMedBERT-256-40 | 12 | null | transformers | 10,856 | Entry not found |
wiselinjayajos/t5-end2end-questions-generation-cv-squadV2 | 1d6a4e797d6949a6376d3c090dd2f247e63c850b | 2022-07-06T17:20:59.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | wiselinjayajos | null | wiselinjayajos/t5-end2end-questions-generation-cv-squadV2 | 12 | null | transformers | 10,857 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-end2end-questions-generation-cv-squadV2
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.... |
sports-ru/antihate | f5e50402d8aeb623a530d3a0c9841cc16bbb8873 | 2022-07-06T12:31:37.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | sports-ru | null | sports-ru/antihate | 12 | null | transformers | 10,858 | Entry not found |
paola-md/recipe-roberta-is | 59d378ee5d5118aa7cb5cba65023b08f11b874a1 | 2022-07-07T11:53:27.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | fill-mask | false | paola-md | null | paola-md/recipe-roberta-is | 12 | null | transformers | 10,859 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: recipe-roberta-is
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. -->
# recipe-roberta-is
This ... |
tner/twitter-roberta-base-dec2020-tweetner-2020 | c3db6c21415a3089141a9615ec47a235947767a9 | 2022-07-07T10:09:45.000Z | [
"pytorch",
"roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/twitter-roberta-base-dec2020-tweetner-2020 | 12 | null | transformers | 10,860 | Entry not found |
ghadeermobasher/BioRed-Chem-Modified-PubMedBERT-512-5-30 | f67ccd04a96b383c764dffdf58653d1859cad5f5 | 2022-07-07T14:22:02.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BioRed-Chem-Modified-PubMedBERT-512-5-30 | 12 | null | transformers | 10,861 | Entry not found |
OFA-Sys/OFA-huge | e8ba0324416869ef9a5ef70c85224ecf8a68e237 | 2022-07-25T11:49:54.000Z | [
"pytorch",
"ofa",
"transformers",
"license:apache-2.0"
] | null | false | OFA-Sys | null | OFA-Sys/OFA-huge | 12 | 1 | transformers | 10,862 | ---
license: apache-2.0
---
# OFA-huge
This is the **huge** version of OFA pretrained model. OFA is a unified multimodal pretrained model that unifies modalities (i.e., cross-modality, vision, language) and tasks (e.g., image generation, visual grounding, image captioning, image classification, text generation, etc.) ... |
jonatasgrosman/exp_w2v2t_zh-cn_r-wav2vec2_s237 | 61b904d36563e597d19a93d1e9f4704f066a0273 | 2022-07-10T02:50:53.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"zh-CN",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_zh-cn_r-wav2vec2_s237 | 12 | null | transformers | 10,863 | ---
language:
- zh-CN
license: apache-2.0
tags:
- automatic-speech-recognition
- zh-CN
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_zh-cn_r-wav2vec2_s237
Fine-tuned [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) for speech recognition using the train split of... |
jorge-henao/gpt2-small-spanish-historias-conflicto-colpoetry-historias-conflicto-col | 47e513280062863ef0cf3ef9c371cf938cf519a2 | 2022-07-11T16:43:58.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | jorge-henao | null | jorge-henao/gpt2-small-spanish-historias-conflicto-colpoetry-historias-conflicto-col | 12 | null | transformers | 10,864 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: gpt2-small-spanish-historias-conflicto-colpoetry-historias-conflicto-col
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete... |
MichalRoztocki/finetuning-sentiment-model-3000-samples | 1cdd2e2c66172477d79926696228845030261348 | 2022-07-12T19:48:42.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | MichalRoztocki | null | MichalRoztocki/finetuning-sentiment-model-3000-samples | 12 | null | transformers | 10,865 | ---
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... |
Hamzaaa/wav2vec2-base-finetuned-emodb | 8b8db9bc6901c6d9516996490b4aba11112631a5 | 2022-07-13T18:03:33.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"audio-classification",
"transformers"
] | audio-classification | false | Hamzaaa | null | Hamzaaa/wav2vec2-base-finetuned-emodb | 12 | null | transformers | 10,866 | Entry not found |
ghadeermobasher/Modified-biobertv1-BioRED-Chem-128-32-30 | 6e7b108c324fe2a1da7eda37f354a5e40bee83cf | 2022-07-13T14:10:35.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/Modified-biobertv1-BioRED-Chem-128-32-30 | 12 | null | transformers | 10,867 | Entry not found |
shivaniNK8/mt5-small-finetuned-amazon-en-es | f1d113002a53bf0d1407b83a22a60005450f929c | 2022-07-14T06:39:22.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | shivaniNK8 | null | shivaniNK8/mt5-small-finetuned-amazon-en-es | 12 | null | transformers | 10,868 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- cnn_dailymail
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-amazon-en-es
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: cnn_dailymail
ty... |
helena-balabin/qt-xlm-r-en-nl-mini | c3a8f109e208797cab4c8f500c6fb95ec870db34 | 2022-07-14T07:33:27.000Z | [
"pytorch",
"xlm-roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | helena-balabin | null | helena-balabin/qt-xlm-r-en-nl-mini | 12 | null | transformers | 10,869 | Entry not found |
Ngit/clip-rsicd | 631c7a8536ba4c6c8a65cd6f0295256fae5e5db6 | 2022-07-14T18:52:25.000Z | [
"pytorch",
"jax",
"clip",
"feature-extraction",
"transformers"
] | feature-extraction | false | Ngit | null | Ngit/clip-rsicd | 12 | null | transformers | 10,870 | Entry not found |
nateraw/resnet18-random | a47034ff419d0d042c72ac5eb44e1f7c71cc04bd | 2022-07-14T20:46:45.000Z | [
"pytorch",
"timm",
"image-classification"
] | image-classification | false | nateraw | null | nateraw/resnet18-random | 12 | null | timm | 10,871 | ---
tags:
- image-classification
- timm
library_tag: timm
---
# Model card for resnet18-random |
Amir-UL/JimBot | f390fc2b50aad0e6a74803a11cfa6d89dcbf9690 | 2022-07-15T11:15:30.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Amir-UL | null | Amir-UL/JimBot | 12 | null | transformers | 10,872 | ---
tags:
- conversational
---
# Jim from The Office |
yongjian/wav2vec2-large-a | 5312b0749f31f41a396daaf1de4d9a3e5d65243a | 2022-07-16T02:43:10.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"en",
"dataset:LIUM/tedlium",
"transformers",
"speech",
"audio"
] | automatic-speech-recognition | false | yongjian | null | yongjian/wav2vec2-large-a | 12 | null | transformers | 10,873 | ---
language: en
datasets:
- LIUM/tedlium
tags:
- speech
- audio
- automatic-speech-recognition
---
Finetuned from [facebook/wav2vec2-large-960h-lv60-self](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self).
# Installation
1. PyTorch installation: https://pytorch.org/
2. Install transformers: https://huggi... |
KoichiYasuoka/roberta-base-thai-spm-ud-head | 75f4eb52eb62aae2c9cdc464fefc58d7d721378f | 2022-07-20T03:52:20.000Z | [
"pytorch",
"roberta",
"question-answering",
"th",
"dataset:universal_dependencies",
"transformers",
"thai",
"dependency-parsing",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | false | KoichiYasuoka | null | KoichiYasuoka/roberta-base-thai-spm-ud-head | 12 | null | transformers | 10,874 | ---
language:
- "th"
tags:
- "thai"
- "question-answering"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "apache-2.0"
pipeline_tag: "question-answering"
widget:
- text: "กว่า"
context: "หลายหัวดีกว่าหัวเดียว"
- text: "หลาย"
context: "หลายหัวดีกว่าหัวเดียว"
- text: "หัว"
context: "หลาย[MASK]... |
pardeep/distilbert-base-uncased-finetuned-emotion-ch02 | 823d89023d9fd5ab5030a1c661b449659833ae1b | 2022-07-17T10:54:29.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | pardeep | null | pardeep/distilbert-base-uncased-finetuned-emotion-ch02 | 12 | null | transformers | 10,875 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion-ch02
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: de... |
ardauzunoglu/BERT-SGM | 570da99e5846e69dc6f1fd589918307a42a75c96 | 2022-07-17T17:27:22.000Z | [
"pytorch",
"bert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity"
] | sentence-similarity | false | ardauzunoglu | null | ardauzunoglu/BERT-SGM | 12 | null | sentence-transformers | 10,876 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# ardauzunoglu/BERT-SGM
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 256 dimensional dense vector space and can be used for tasks like clustering o... |
yixi/bert-finetuned-ner | c6c3a6a51124e0e13bc68405723b935d6dbc2364 | 2022-07-18T13:42:24.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | yixi | null | yixi/bert-finetuned-ner | 12 | null | transformers | 10,877 | ---
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... |
shivarama23/DiT_image_quality | 812bcba4f7823a82712ace84e08b3be54f6c9e21 | 2022-07-19T04:57:58.000Z | [
"pytorch",
"beit",
"image-classification",
"transformers"
] | image-classification | false | shivarama23 | null | shivarama23/DiT_image_quality | 12 | null | transformers | 10,878 | Entry not found |
juancopi81/distilbert-base-uncased-finetuned-squad-d5716d28 | 1fe3a71a8d751bb22ddfd9cf049b779181e96cd5 | 2022-07-19T14:15:17.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"en",
"dataset:squad",
"arxiv:1910.01108",
"transformers",
"question-answering",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | false | juancopi81 | null | juancopi81/distilbert-base-uncased-finetuned-squad-d5716d28 | 12 | null | transformers | 10,879 | ---
language:
- en
thumbnail: https://github.com/karanchahal/distiller/blob/master/distiller.jpg
tags:
- question-answering
license: apache-2.0
datasets:
- squad
metrics:
- squad
---
# DistilBERT with a second step of distillation
## Model description
This model replicates the "DistilBERT (D)" model from Table 2 of... |
gemasphi/laprador_pt_pb | 32b5b7f8cad05f0d374fe69ba4882f6de31aa88c | 2022-07-19T17:23:19.000Z | [
"pytorch",
"bert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | gemasphi | null | gemasphi/laprador_pt_pb | 12 | null | sentence-transformers | 10,880 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# gemasphi/laprador_pt
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks lik... |
leokai/distilbert-base-uncased-finetuned-wikiandmark_epoch20 | 452c427ed75d2d3196305d1399487cf8e1210671 | 2022-07-20T07:33:19.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | leokai | null | leokai/distilbert-base-uncased-finetuned-wikiandmark_epoch20 | 12 | null | transformers | 10,881 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-wikiandmark_epoch20
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complet... |
Dizzykong/large-commands | 01e086b04dae5fce469fc30bfa873a33edad30a8 | 2022-07-21T04:20:09.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"model-index"
] | text-generation | false | Dizzykong | null | Dizzykong/large-commands | 12 | null | transformers | 10,882 | ---
tags:
- generated_from_trainer
model-index:
- name: large-commands
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. -->
# large-commands
This model is a fine-tun... |
buvata/bertTitle | 2ef225cc466d34aa8e795cc5f8ad255653fdba07 | 2022-07-21T02:16:41.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | buvata | null | buvata/bertTitle | 12 | null | transformers | 10,883 | Entry not found |
jinwooChoi/SKKU_SA_KES | 843148b90713d68909a3375a689d53763d02d19b | 2022-07-22T05:18:16.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers"
] | text-classification | false | jinwooChoi | null | jinwooChoi/SKKU_SA_KES | 12 | null | transformers | 10,884 | Entry not found |
mtreviso/ct5-small-en-wiki | 7400ba7a47220a7c9949d7d62190eb3b676ab186 | 2022-07-25T13:19:21.000Z | [
"pytorch",
"jax",
"tensorboard",
"t5",
"text2text-generation",
"en",
"dataset:wikipedia",
"transformers",
"license:afl-3.0",
"autotrain_compatible"
] | text2text-generation | false | mtreviso | null | mtreviso/ct5-small-en-wiki | 12 | null | transformers | 10,885 | ---
license: afl-3.0
language: en
tags:
- t5
datasets:
- wikipedia
---
# chunked T5 - small (cT5-small)
Github: https://github.com/mtreviso/chunked-t5
A T5 model that uses a new loss where a special end-of-chunk token `</c>` is appended after sentinel tokens.
The decoder has to predict the full input with masked to... |
AndyChiang/my-test-model | e6392a97d572dd50121bb398803a008dc230bb60 | 2022-07-21T08:08:01.000Z | [
"pytorch",
"tf",
"bert",
"text-classification",
"transformers",
"generated_from_keras_callback",
"model-index"
] | text-classification | false | AndyChiang | null | AndyChiang/my-test-model | 12 | 1 | transformers | 10,886 | ---
tags:
- generated_from_keras_callback
model-index:
- name: my-test-model
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# my-test-model
This model was trained fr... |
Krs/distilbert-base-uncased-finetuned-emotion | a58bdb9584d6394c59cfcb610a707a8860049241 | 2022-07-22T08:08:46.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Krs | null | Krs/distilbert-base-uncased-finetuned-emotion | 12 | null | transformers | 10,887 | ---
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... |
RohanKapur3/test-model | 1524d0ce942cead01996aec6f22b968bb147abf0 | 2022-07-22T05:56:44.000Z | [
"pytorch",
"camembert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | RohanKapur3 | null | RohanKapur3/test-model | 12 | null | transformers | 10,888 | Entry not found |
jinwooChoi/SKKU_KDW_SA_0722_2 | a8055dce9a20202e559d6e5ba197a0910d4753c9 | 2022-07-25T06:42:57.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers"
] | text-classification | false | jinwooChoi | null | jinwooChoi/SKKU_KDW_SA_0722_2 | 12 | null | transformers | 10,889 | Entry not found |
erikanesse/test-trainer-gbb-7 | 405fbaf0e420370c557cc3f761e22b3e4b28b78a | 2022-07-22T17:48:14.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | erikanesse | null | erikanesse/test-trainer-gbb-7 | 12 | null | transformers | 10,890 | Entry not found |
domenicrosati/deberta-v3-large-finetuned-DAGPap22-synthetic-all | 0c344a01add2bcf5cc99677bb2f33fa45cbd84c5 | 2022-07-23T10:13:32.000Z | [
"pytorch",
"tensorboard",
"deberta-v2",
"text-classification",
"transformers"
] | text-classification | false | domenicrosati | null | domenicrosati/deberta-v3-large-finetuned-DAGPap22-synthetic-all | 12 | null | transformers | 10,891 | Entry not found |
huggingtweets/hillaryclinton-maddow-speakerpelosi | 1831c005cf7c446a1bb3e554c6b0affe7cbefc89 | 2022-07-22T23:16:37.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/hillaryclinton-maddow-speakerpelosi | 12 | 1 | transformers | 10,892 | ---
language: en
thumbnail: http://www.huggingtweets.com/hillaryclinton-maddow-speakerpelosi/1658531793071/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... |
Shenzy/Sentence_Classification4DesignTutor | 34e4ef5afee7b3f08e234e57afd8bfe77351113d | 2022-07-26T03:25:26.000Z | [
"pytorch",
"roberta",
"text-classification",
"en",
"dataset:Shenzy/autotrain-data-sentence_classification",
"transformers",
"autotrain",
"co2_eq_emissions"
] | text-classification | false | Shenzy | null | Shenzy/Sentence_Classification4DesignTutor | 12 | null | transformers | 10,893 | ---
tags: autotrain
language: en
widget:
- text: "An unusual hierarchy in the section near the top where the design seems to prioritise running time over a compacted artist name."
datasets:
- Shenzy/autotrain-data-sentence_classification
co2_eq_emissions: 0.00986494387043499
---
## Validation Metrics
- Loss: 0.644772... |
phamvanlinh143/bert-fine-tuned-cola | 303716edca581322e47999a19a10bf70c00c19a5 | 2022-07-24T17:40:41.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | phamvanlinh143 | null | phamvanlinh143/bert-fine-tuned-cola | 12 | null | transformers | 10,894 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-fine-tuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
metrics:
- name: ... |
Bogula/samsum-512 | 957020bd297916fe52ebd5932faeca6fddbcd218 | 2022-07-25T21:34:21.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Bogula | null | Bogula/samsum-512 | 12 | null | transformers | 10,895 | smaller version of Samsum fine-tuning on CNN/DailyMail-Pegasus
512 token input / 64 token output
(reduced due to memory shortage on Colab) |
d2niraj555/distilbert-base-uncased-finetuned-emotion | d9e838a13db9e85bf9a9fecd59eb4c07d1c5882b | 2022-07-27T17:24:50.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | d2niraj555 | null | d2niraj555/distilbert-base-uncased-finetuned-emotion | 12 | null | transformers | 10,896 | ---
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... |
BramVanroy/bert-base-multilingual-cased-hebban-reviews | d385a288dd48791c869c6a77a7f30123fffc0919 | 2022-07-29T09:41:16.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"nl",
"dataset:BramVanroy/hebban-reviews",
"transformers",
"sentiment-analysis",
"dutch",
"text",
"license:mit",
"model-index"
] | text-classification | false | BramVanroy | null | BramVanroy/bert-base-multilingual-cased-hebban-reviews | 12 | null | transformers | 10,897 | ---
datasets:
- BramVanroy/hebban-reviews
language:
- nl
license: mit
metrics:
- accuracy
- f1
- precision
- qwk
- recall
model-index:
- name: bert-base-multilingual-cased-hebban-reviews
results:
- dataset:
config: filtered_sentiment
name: BramVanroy/hebban-reviews - filtered_sentiment - 2.0.0
rev... |
yanaiela/roberta-base-epoch_81 | 3feb9aef44461a6a63f27dfe729e13c2e09f995c | 2022-07-29T23:09:21.000Z | [
"pytorch",
"roberta",
"fill-mask",
"en",
"dataset:wikipedia",
"dataset:bookcorpus",
"arxiv:1907.11692",
"arxiv:2207.14251",
"transformers",
"roberta-base",
"roberta-base-epoch_81",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | yanaiela | null | yanaiela/roberta-base-epoch_81 | 12 | null | transformers | 10,898 | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_81
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 81
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... |
Evelyn18/roberta-base-spanish-squades-becasIncentivos6 | 8c10020ced5ecf4c4e2b15b27c6560ea0674bebb | 2022-07-28T21:38:04.000Z | [
"pytorch",
"tensorboard",
"roberta",
"question-answering",
"dataset:becasv2",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | Evelyn18 | null | Evelyn18/roberta-base-spanish-squades-becasIncentivos6 | 12 | null | transformers | 10,899 | ---
tags:
- generated_from_trainer
datasets:
- becasv2
model-index:
- name: roberta-base-spanish-squades-becasIncentivos6
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 comme... |
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