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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
CEBaB/roberta-base.CEBaB.causalm.service__food.3-class.exclusive.seed_45 | 558ee8833fdd9181e49f821db4ba24cd2403cc86 | 2022-05-24T10:07:40.000Z | [
"pytorch",
"roberta_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/roberta-base.CEBaB.causalm.service__food.3-class.exclusive.seed_45 | 1 | null | transformers | 32,400 | Entry not found |
CEBaB/roberta-base.CEBaB.causalm.service__food.3-class.exclusive.seed_46 | a15995c2823dd9d9f60860a6183475459f16ff97 | 2022-05-24T10:07:42.000Z | [
"pytorch",
"roberta_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/roberta-base.CEBaB.causalm.service__food.3-class.exclusive.seed_46 | 1 | null | transformers | 32,401 | Entry not found |
CEBaB/roberta-base.CEBaB.causalm.ambiance__food.5-class.exclusive.seed_42 | 221ac44799e9fb8218890a47a2824bf8796fb229 | 2022-05-24T10:10:24.000Z | [
"pytorch",
"roberta_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/roberta-base.CEBaB.causalm.ambiance__food.5-class.exclusive.seed_42 | 1 | null | transformers | 32,402 | Entry not found |
CEBaB/roberta-base.CEBaB.causalm.ambiance__food.5-class.exclusive.seed_43 | 350b4fa79d7f6d826b6293f81d089c1a1c970827 | 2022-05-24T10:10:26.000Z | [
"pytorch",
"roberta_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/roberta-base.CEBaB.causalm.ambiance__food.5-class.exclusive.seed_43 | 1 | null | transformers | 32,403 | Entry not found |
CEBaB/roberta-base.CEBaB.causalm.ambiance__food.5-class.exclusive.seed_44 | 516048f8d31a4b30007c6f84dad0577b4761e87a | 2022-05-24T10:10:28.000Z | [
"pytorch",
"roberta_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/roberta-base.CEBaB.causalm.ambiance__food.5-class.exclusive.seed_44 | 1 | null | transformers | 32,404 | Entry not found |
CEBaB/roberta-base.CEBaB.causalm.ambiance__food.5-class.exclusive.seed_45 | 5b4362a7677ade068db7a92a5c2ff7e2fd16cb78 | 2022-05-24T10:10:31.000Z | [
"pytorch",
"roberta_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/roberta-base.CEBaB.causalm.ambiance__food.5-class.exclusive.seed_45 | 1 | null | transformers | 32,405 | Entry not found |
CEBaB/roberta-base.CEBaB.causalm.ambiance__food.5-class.exclusive.seed_46 | e2a5dc65aa64e6939ee7f1d114ce3a7e1c407369 | 2022-05-24T10:10:33.000Z | [
"pytorch",
"roberta_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/roberta-base.CEBaB.causalm.ambiance__food.5-class.exclusive.seed_46 | 1 | null | transformers | 32,406 | Entry not found |
CEBaB/roberta-base.CEBaB.causalm.food__service.5-class.exclusive.seed_42 | 399bb878b13786b11e71209db154364fefc44f5d | 2022-05-24T10:10:35.000Z | [
"pytorch",
"roberta_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/roberta-base.CEBaB.causalm.food__service.5-class.exclusive.seed_42 | 1 | null | transformers | 32,407 | Entry not found |
CEBaB/roberta-base.CEBaB.causalm.food__service.5-class.exclusive.seed_43 | e84014534fba154036e747ebf8a8e4906b975f2b | 2022-05-24T10:10:37.000Z | [
"pytorch",
"roberta_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/roberta-base.CEBaB.causalm.food__service.5-class.exclusive.seed_43 | 1 | null | transformers | 32,408 | Entry not found |
CEBaB/roberta-base.CEBaB.causalm.food__service.5-class.exclusive.seed_44 | c35073e961f95a8e097dae77347a711a04d60096 | 2022-05-24T10:10:39.000Z | [
"pytorch",
"roberta_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/roberta-base.CEBaB.causalm.food__service.5-class.exclusive.seed_44 | 1 | null | transformers | 32,409 | Entry not found |
CEBaB/roberta-base.CEBaB.causalm.food__service.5-class.exclusive.seed_45 | cfcd1341eb7955e5d12d73b3f95d3a537b5304a7 | 2022-05-24T10:10:41.000Z | [
"pytorch",
"roberta_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/roberta-base.CEBaB.causalm.food__service.5-class.exclusive.seed_45 | 1 | null | transformers | 32,410 | Entry not found |
CEBaB/roberta-base.CEBaB.causalm.food__service.5-class.exclusive.seed_46 | fae4afe5aaa26625cc3f93ed93e746aae83bd450 | 2022-05-24T10:10:43.000Z | [
"pytorch",
"roberta_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/roberta-base.CEBaB.causalm.food__service.5-class.exclusive.seed_46 | 1 | null | transformers | 32,411 | Entry not found |
CEBaB/roberta-base.CEBaB.causalm.noise__food.5-class.exclusive.seed_42 | 4da21f2648b49da2025ea5fe6ddf27e9e137070e | 2022-05-24T10:10:45.000Z | [
"pytorch",
"roberta_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/roberta-base.CEBaB.causalm.noise__food.5-class.exclusive.seed_42 | 1 | null | transformers | 32,412 | Entry not found |
CEBaB/roberta-base.CEBaB.causalm.noise__food.5-class.exclusive.seed_43 | 1f39ca0537e3bf71e5b04e89442185804daed291 | 2022-05-24T10:10:47.000Z | [
"pytorch",
"roberta_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/roberta-base.CEBaB.causalm.noise__food.5-class.exclusive.seed_43 | 1 | null | transformers | 32,413 | Entry not found |
CEBaB/roberta-base.CEBaB.causalm.noise__food.5-class.exclusive.seed_44 | 084821a15c7d27d050ffef415884336958724c00 | 2022-05-24T10:10:48.000Z | [
"pytorch",
"roberta_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/roberta-base.CEBaB.causalm.noise__food.5-class.exclusive.seed_44 | 1 | null | transformers | 32,414 | Entry not found |
CEBaB/roberta-base.CEBaB.causalm.noise__food.5-class.exclusive.seed_45 | 5c2de4c88cbfdf1271c1de2f36c48ec3ad100670 | 2022-05-24T10:10:50.000Z | [
"pytorch",
"roberta_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/roberta-base.CEBaB.causalm.noise__food.5-class.exclusive.seed_45 | 1 | null | transformers | 32,415 | Entry not found |
CEBaB/roberta-base.CEBaB.causalm.noise__food.5-class.exclusive.seed_46 | 221c1af230600ed51d109402476051c175b81d14 | 2022-05-24T10:10:52.000Z | [
"pytorch",
"roberta_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/roberta-base.CEBaB.causalm.noise__food.5-class.exclusive.seed_46 | 1 | null | transformers | 32,416 | Entry not found |
CEBaB/roberta-base.CEBaB.causalm.service__food.5-class.exclusive.seed_42 | 7eeec62a88aa868db3fc0e312230a059fc5eb474 | 2022-05-24T10:10:54.000Z | [
"pytorch",
"roberta_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/roberta-base.CEBaB.causalm.service__food.5-class.exclusive.seed_42 | 1 | null | transformers | 32,417 | Entry not found |
CEBaB/roberta-base.CEBaB.causalm.service__food.5-class.exclusive.seed_43 | 646efc74f7294a70612f3a276953e93a8532bc2a | 2022-05-24T10:10:56.000Z | [
"pytorch",
"roberta_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/roberta-base.CEBaB.causalm.service__food.5-class.exclusive.seed_43 | 1 | null | transformers | 32,418 | Entry not found |
CEBaB/roberta-base.CEBaB.causalm.service__food.5-class.exclusive.seed_44 | 05b55387ce981b0d4f05c11eb61e5094f0c347f1 | 2022-05-24T10:10:58.000Z | [
"pytorch",
"roberta_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/roberta-base.CEBaB.causalm.service__food.5-class.exclusive.seed_44 | 1 | null | transformers | 32,419 | Entry not found |
CEBaB/roberta-base.CEBaB.causalm.service__food.5-class.exclusive.seed_45 | 3c127c5194e3cc204078acc7a6d4949e663ca7cb | 2022-05-24T10:11:00.000Z | [
"pytorch",
"roberta_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/roberta-base.CEBaB.causalm.service__food.5-class.exclusive.seed_45 | 1 | null | transformers | 32,420 | Entry not found |
CEBaB/roberta-base.CEBaB.causalm.service__food.5-class.exclusive.seed_46 | f4d5558ef0d032b4761c275bbe16fc3a24d34485 | 2022-05-24T10:11:02.000Z | [
"pytorch",
"roberta_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/roberta-base.CEBaB.causalm.service__food.5-class.exclusive.seed_46 | 1 | null | transformers | 32,421 | Entry not found |
Vkt/victor-hg-ptbr-2.0 | fe52be10b1e9eda9c46715e851d213c63a31cb2d | 2022-05-26T04:10:53.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | Vkt | null | Vkt/victor-hg-ptbr-2.0 | 1 | null | transformers | 32,422 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: victor-hg-ptbr-2.0
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... |
NabilOulbaz/bertweet_retrained_semEval2019 | f7822d0a52beb47dd71eb0fa430c8797778b8769 | 2022-05-24T13:31:09.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | NabilOulbaz | null | NabilOulbaz/bertweet_retrained_semEval2019 | 1 | null | transformers | 32,423 | Entry not found |
ismail-lucifer011/autotrain-name_all-904029569 | 0d9a45f404f8c8a09b0054899aa3a13add72ba39 | 2022-05-24T14:42:21.000Z | [
"pytorch",
"distilbert",
"token-classification",
"en",
"dataset:ismail-lucifer011/autotrain-data-name_all",
"transformers",
"autotrain",
"co2_eq_emissions",
"autotrain_compatible"
] | token-classification | false | ismail-lucifer011 | null | ismail-lucifer011/autotrain-name_all-904029569 | 1 | null | transformers | 32,424 | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- ismail-lucifer011/autotrain-data-name_all
co2_eq_emissions: 0.527083766435658
---
# Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 904029569
- CO2 Emissions (in grams): 0.527083766435658
## Validation Metr... |
AntoDono/DialoGPT-Bopy-Patch2 | 919713b62eaebf247231d52e5fc87f1186c6ac58 | 2022-05-24T20:15:40.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | AntoDono | null | AntoDono/DialoGPT-Bopy-Patch2 | 1 | null | transformers | 32,425 | Entry not found |
anablasi/model_10k_qa | 66d343f774a97a496d0a7ae6c66baa2239f39753 | 2022-05-24T22:04:29.000Z | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | anablasi | null | anablasi/model_10k_qa | 1 | null | transformers | 32,426 | Entry not found |
chrisvinsen/xlsr-wav2vec2-2 | 2355b754056a85f5a636d0a76d413ceaac788784 | 2022-05-25T10:21:44.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | chrisvinsen | null | chrisvinsen/xlsr-wav2vec2-2 | 1 | null | transformers | 32,427 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: xlsr-wav2vec2-2
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. -->
# xlsr-wav2vec2-2
Th... |
nobuotto/distilbert-base-uncased-finetuned-imdb | 089d4b96fb093c078029ddc9963e4d5de598553a | 2022-05-25T00:56:20.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | nobuotto | null | nobuotto/distilbert-base-uncased-finetuned-imdb | 1 | null | transformers | 32,428 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-imdb
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. -->... |
sagnikrayc/prajjwal-bert-small-snli | 5ef8796da4f28a27fa8c42003aedb88a08f1f51a | 2022-05-25T02:54:36.000Z | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | sagnikrayc | null | sagnikrayc/prajjwal-bert-small-snli | 1 | null | transformers | 32,429 | Entry not found |
ChrisKalahiki/mt5-small-finetuned-amazon-en-es | e77e7dea5137c35c809e97274ed2b7b51474aa45 | 2022-05-25T03:11:06.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | ChrisKalahiki | null | ChrisKalahiki/mt5-small-finetuned-amazon-en-es | 1 | null | transformers | 32,430 | Entry not found |
morahil/wav2vec2-hindi-new | f768d2ed4d5e0a029017fbff35b293090e671b12 | 2022-05-25T06:09:22.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | morahil | null | morahil/wav2vec2-hindi-new | 1 | null | transformers | 32,431 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-hindi-new
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. -->
# wav2vec2-hindi-n... |
jihae/kogpt2news | b480fd14067f4f19470a41b4aa45cc0936518ab1 | 2022-06-03T04:37:13.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | jihae | null | jihae/kogpt2news | 1 | null | transformers | 32,432 | Entry not found |
PontifexMaximus/mt5-small-finetuned-fa-to-en | a7fb60c812d42b2fa63a2a98ce3cc8d01049f86b | 2022-05-25T06:58:04.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | PontifexMaximus | null | PontifexMaximus/mt5-small-finetuned-fa-to-en | 1 | null | transformers | 32,433 | Entry not found |
leonweber/muppet-large-118 | 95fc68bc87f8b217c517b4c6f402b58b91eda85b | 2022-05-25T08:47:07.000Z | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | leonweber | null | leonweber/muppet-large-118 | 1 | null | transformers | 32,434 | Entry not found |
ronanki/ml_use_512_MNR_15 | 9be6c92760fae2df6cd27345a1e879d8ac9feacb | 2022-05-25T12:11:55.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity"
] | sentence-similarity | false | ronanki | null | ronanki/ml_use_512_MNR_15 | 1 | null | sentence-transformers | 32,435 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# ronanki/ml_use_512_MNR_15
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 512 dimensional dense vector space and can be used for tasks like clusterin... |
neuralmagic/oBERT-12-downstream-pruned-unstructured-80-squadv1 | 40d5b575e3b9f9edb1c841f8330947d7188d20ed | 2022-06-20T11:36:49.000Z | [
"pytorch",
"en",
"dataset:squad",
"arxiv:2203.07259",
"bert",
"oBERT",
"sparsity",
"pruning",
"compression"
] | null | false | neuralmagic | null | neuralmagic/oBERT-12-downstream-pruned-unstructured-80-squadv1 | 1 | null | null | 32,436 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: squad
---
# oBERT-12-downstream-pruned-unstructured-80-squadv1
This model is obtained with [The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models](https://arxiv.org/abs/2203.07259).
It correspo... |
neuralmagic/oBERT-12-upstream-pruned-unstructured-97-finetuned-qqp | c40a3309f3517062d0bfcc9867fe836481f6bd6b | 2022-06-20T11:40:11.000Z | [
"pytorch",
"en",
"dataset:qqp",
"arxiv:2203.07259",
"bert",
"oBERT",
"sparsity",
"pruning",
"compression"
] | null | false | neuralmagic | null | neuralmagic/oBERT-12-upstream-pruned-unstructured-97-finetuned-qqp | 1 | null | null | 32,437 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: qqp
---
# oBERT-12-upstream-pruned-unstructured-97-finetuned-qqp
This model is obtained with [The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models](https://arxiv.org/abs/2203.07259).
It corres... |
neuralmagic/oBERT-6-downstream-dense-squadv1 | 3ad43f2b30b84816b7ff58ec0ce02ad632fe9022 | 2022-06-20T11:36:52.000Z | [
"pytorch",
"en",
"dataset:squad",
"arxiv:2203.07259",
"bert",
"oBERT",
"sparsity",
"pruning",
"compression"
] | null | false | neuralmagic | null | neuralmagic/oBERT-6-downstream-dense-squadv1 | 1 | null | null | 32,438 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: squad
---
# oBERT-6-downstream-dense-squadv1
This model is obtained with [The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models](https://arxiv.org/abs/2203.07259).
It corresponds to the model pr... |
wrice/wav2vec2-base-timit-demo-google-colab | 68942be183e216eaaa6168eba5684d712fe0a815 | 2022-05-26T00:23:52.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | wrice | null | wrice/wav2vec2-base-timit-demo-google-colab | 1 | null | transformers | 32,439 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-timit-demo-google-colab
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
... |
cristinakuo/wav2vec2-sala1 | eaf4eb561589d71c68554c2b6782a5a01155104e | 2022-05-29T05:18:06.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | cristinakuo | null | cristinakuo/wav2vec2-sala1 | 1 | null | transformers | 32,440 | Entry not found |
duclee9x/wav2vec2-voa-example | 4a3119d181cd5790f4bfc0f25d20354dea22fc56 | 2022-05-26T08:32:06.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | duclee9x | null | duclee9x/wav2vec2-voa-example | 1 | null | transformers | 32,441 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-voa-example
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. -->
# wav2vec2-voa-e... |
shufei/wav2vec2-common_voice-tr-demo | 323ae62254d3ca7c66d091278575bb4e227063a1 | 2022-05-26T02:14:22.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | shufei | null | shufei/wav2vec2-common_voice-tr-demo | 1 | null | transformers | 32,442 | Entry not found |
wrice/wavlm-large-timit-punctuation | 5e26a301c6c16bd5f21d66d26ec970b0558bca64 | 2022-05-31T13:31:43.000Z | [
"pytorch",
"tensorboard",
"wavlm",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"model-index"
] | automatic-speech-recognition | false | wrice | null | wrice/wavlm-large-timit-punctuation | 1 | null | transformers | 32,443 | ---
tags:
- generated_from_trainer
model-index:
- name: wavlm-large-timit-punctuation
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. -->
# wavlm-large-timit-punctua... |
LDD/wwm-2 | 8044009f1efc735aaf172bd5780a2a24629650cc | 2022-05-26T03:36:46.000Z | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | LDD | null | LDD/wwm-2 | 1 | null | transformers | 32,444 | Entry not found |
RuiqianLi/one-simple-finetune-test | 1a5109c945f1e352ba92d7c793e3ca63c0a06478 | 2022-05-26T07:41:32.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:li_singlish",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | RuiqianLi | null | RuiqianLi/one-simple-finetune-test | 1 | null | transformers | 32,445 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- li_singlish
model-index:
- name: one-simple-finetune-test
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 co... |
Giseok/wav2vec2-base-STTTest | 3a8337c467adee456eed5e2458653697bcb73618 | 2022-05-27T09:12:19.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | Giseok | null | Giseok/wav2vec2-base-STTTest | 1 | null | transformers | 32,446 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-STTTest
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. -->
# wav2vec2-base... |
aioxlabs/dvoice-swahili | 05eb3471d4d24f9eee3b5482362533530145ca3e | 2022-05-28T08:20:36.000Z | [
"wav2vec2",
"feature-extraction",
"sw",
"dataset:commonvoice",
"speechbrain",
"CTC",
"pytorch",
"Transformer",
"license:apache-2.0",
"automatic-speech-recognition"
] | automatic-speech-recognition | false | aioxlabs | null | aioxlabs/dvoice-swahili | 1 | null | speechbrain | 32,447 | ---
language: "sw"
thumbnail:
pipeline_tag: automatic-speech-recognition
tags:
- CTC
- pytorch
- speechbrain
- Transformer
license: "apache-2.0"
datasets:
- commonvoice
metrics:
- wer
- cer
---
<iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frame... |
Kashni/damontvd | 1596c55f02d93be66caff56d552d8edb094f3e1a | 2022-05-26T11:43:34.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | Kashni | null | Kashni/damontvd | 1 | null | transformers | 32,448 | ---
tags:
- conversation
---
#Damon from TVD |
forcorpus/bert-base-uncased-finetune-security | 78f09fc513e9bc8b6104077438e0ba7e41922c5f | 2022-05-26T11:41:39.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | forcorpus | null | forcorpus/bert-base-uncased-finetune-security | 1 | null | transformers | 32,449 | Entry not found |
theojolliffe/bart-large-cnn-pubmed1o3 | c39846503f67948f0ee42798ba7d017ab0e0d485 | 2022-05-27T13:19:47.000Z | [
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"dataset:scientific_papers",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | theojolliffe | null | theojolliffe/bart-large-cnn-pubmed1o3 | 1 | null | transformers | 32,450 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- scientific_papers
metrics:
- rouge
model-index:
- name: bart-large-cnn-pubmed1o3
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: scientific_papers
type: scientific_papers
... |
Aiyshwariya/bert-finetuned-squad | 2a7c6f30759cfb0a02b09b9b09190a3555b16d19 | 2022-05-26T20:12:18.000Z | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | Aiyshwariya | null | Aiyshwariya/bert-finetuned-squad | 1 | null | transformers | 32,451 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: bert-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->... |
prodm93/GPT2Dynamic_text_model_v1 | ccf843e0d8573d73d848f3c1c0d1972b55369117 | 2022-05-26T19:00:53.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | prodm93 | null | prodm93/GPT2Dynamic_text_model_v1 | 1 | null | transformers | 32,452 | Entry not found |
SherryLiu/inst0075model | 63160908e9bbcb2263d5dc68bedbc7dcbcf8dad5 | 2022-05-26T22:45:30.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"license:afl-3.0",
"autotrain_compatible"
] | fill-mask | false | SherryLiu | null | SherryLiu/inst0075model | 1 | null | transformers | 32,453 | ---
license: afl-3.0
---
|
coreybrady/coreyresults | 9a7b3d6affae0c5472558f6648c496c8a2e36984 | 2022-05-27T19:38:53.000Z | [
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | coreybrady | null | coreybrady/coreyresults | 1 | null | transformers | 32,454 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: coreyresults
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. -->
# coreyresults
This mod... |
olpa/xlm-roberta-base-finetuned-panx-de | 287eee13d894eaa24730f6b9b7223e2e0f881752 | 2022-05-30T03:26:44.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"dataset:xtreme",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | olpa | null | olpa/xlm-roberta-base-finetuned-panx-de | 1 | null | transformers | 32,455 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
args: PAN-X.de
metrics:
- name:... |
geomos/distilbert-base-uncased-finetuned-imdb | 74dbfd0d2074cd22bbd2a93a513f853732873230 | 2022-05-27T04:40:19.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | geomos | null | geomos/distilbert-base-uncased-finetuned-imdb | 1 | null | transformers | 32,456 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: distilbert-base-uncased-finetuned-imdb
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 ... |
PSW/samsum_reverse_train | ab36aedc32756d7e4a64128d1dfff6c67bdd323b | 2022-05-31T07:08:28.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | PSW | null | PSW/samsum_reverse_train | 1 | null | transformers | 32,457 | Entry not found |
KoichiYasuoka/deberta-large-japanese-upos | 1e70ccea11d3c1dd6121ddca5f82ef8b6cf9a530 | 2022-05-27T06:54:18.000Z | [
"pytorch",
"deberta-v2",
"token-classification",
"ja",
"dataset:universal_dependencies",
"transformers",
"japanese",
"pos",
"dependency-parsing",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | token-classification | false | KoichiYasuoka | null | KoichiYasuoka/deberta-large-japanese-upos | 1 | null | transformers | 32,458 | ---
language:
- "ja"
tags:
- "japanese"
- "token-classification"
- "pos"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "cc-by-sa-4.0"
pipeline_tag: "token-classification"
widget:
- text: "国境の長いトンネルを抜けると雪国であった。"
---
# deberta-large-japanese-upos
## Model Description
This is a DeBERTa(V2) model ... |
chrisvinsen/xlsr-wav2vec2-final-1-lm-1 | 251b3d8389a265061bbf0390ed35b2c383f7b7b3 | 2022-05-29T01:09:25.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | chrisvinsen | null | chrisvinsen/xlsr-wav2vec2-final-1-lm-1 | 1 | null | transformers | 32,459 | CommonVoice Dataset 8.0 --> Train + Test + Validation
WER : 0.216
WER with LM: 0.123 |
dkasti/xlm-roberta-base-finetuned-panx-de | 0d67a2c373cea2b544b847d87dfd6708009ee95e | 2022-06-02T00:32:38.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"dataset:xtreme",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | dkasti | null | dkasti/xlm-roberta-base-finetuned-panx-de | 1 | null | transformers | 32,460 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
args: PAN-X.de
metrics:
- name:... |
deathmite/DiabloGPT-small-potaru | 3a5e33031abc4892b03303c7968ba79fae46f6d8 | 2022-05-27T09:01:44.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | deathmite | null | deathmite/DiabloGPT-small-potaru | 1 | null | transformers | 32,461 | ---
tags:
- conversational
---
# Potaru DiabloGPT model |
huggingtweets/eyeofjackiechan | d31b740b2938a8a9a266d1bffa0e83f37a2880c6 | 2022-06-20T01:04:58.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/eyeofjackiechan | 1 | null | transformers | 32,462 | ---
language: en
thumbnail: http://www.huggingtweets.com/eyeofjackiechan/1655687093014/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px;... |
theojolliffe/bart-large-cnn-pubmed1o3-pubmed2o3 | 9db53aea5f4e9bc0481107b13626da3afabde9dd | 2022-05-27T18:59:12.000Z | [
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"dataset:scientific_papers",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | theojolliffe | null | theojolliffe/bart-large-cnn-pubmed1o3-pubmed2o3 | 1 | null | transformers | 32,463 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- scientific_papers
metrics:
- rouge
model-index:
- name: bart-large-cnn-pubmed1o3-pubmed2o3
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: scientific_papers
type: scientifi... |
Splend1dchan/wav2vec2-large-lv60_byt5-small_nofreeze_bs64 | 172b8d6d97548c2cb361976ce669bd3ffcff60d2 | 2022-05-31T15:00:45.000Z | [
"pytorch",
"speechmix",
"transformers"
] | null | false | Splend1dchan | null | Splend1dchan/wav2vec2-large-lv60_byt5-small_nofreeze_bs64 | 1 | null | transformers | 32,464 | Entry not found |
nataliebhuerta/wav2vec2-base-finetuned-ks | 305eb89a86c15156ddd9800e7c59b0ac7a17ae10 | 2022-05-27T14:46:35.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"audio-classification",
"dataset:superb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | audio-classification | false | nataliebhuerta | null | nataliebhuerta/wav2vec2-base-finetuned-ks | 1 | null | transformers | 32,465 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- superb
model-index:
- name: wav2vec2-base-finetuned-ks
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... |
shafin/distilbert-base-uncased-finetuned-cust | 849e6b0f6ea96fdde2b58a4b002628fb95b30ef4 | 2022-05-27T16:42:07.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | shafin | null | shafin/distilbert-base-uncased-finetuned-cust | 1 | null | transformers | 32,466 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-cust
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. -->... |
Satyamatury/wav2vec2-large-xls-r-300m-hindi-colab | 8a1de2618cda9b25c6eab02968a5715e5842f436 | 2022-06-13T11:08:04.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | Satyamatury | null | Satyamatury/wav2vec2-large-xls-r-300m-hindi-colab | 1 | null | transformers | 32,467 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-hindi-colab
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then ... |
Santiagot1105/wav2vec2-l-xlsr-es-col-pro-noise | fccf80847d0f48ad595cd5cbbb000708a54a057f | 2022-05-30T06:08:39.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | Santiagot1105 | null | Santiagot1105/wav2vec2-l-xlsr-es-col-pro-noise | 1 | null | transformers | 32,468 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-l-xlsr-es-col-pro-noise
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. -->
# wa... |
sanbohork/Caso3_T5 | 359fe741dc8872759179c2400f2153b146fede0b | 2022-05-28T13:35:02.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"license:other",
"autotrain_compatible"
] | text2text-generation | false | sanbohork | null | sanbohork/Caso3_T5 | 1 | null | transformers | 32,469 | ---
license: other
---
Este modelo busca generar el titulo de un texto, se tomo como base el articulo:
https://medium.com/nlplanet/a-full-guide-to-finetuning-t5-for-text2text-and-building-a-demo-with-streamlit-c72009631887
Se entreno el modelo con 500 elementos del dataset
Genera el titulo del texto |
ElMuchoDingDong/DialoGPT-medium-AudreyHepburn_v4 | 7113d4a433c6fc57c8f7c37d4fd1aa6f85d56736 | 2022-05-27T20:27:21.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ElMuchoDingDong | null | ElMuchoDingDong/DialoGPT-medium-AudreyHepburn_v4 | 1 | null | transformers | 32,470 | ---
tags:
- conversational
---
#Audrey Hepburn DialoGPT Model |
eugenecamus/resnet-50-base-beans-demo | 0fbcde2fc6b720e18e4a94f5d6ccf7bccea41b0f | 2022-05-31T17:47:56.000Z | [
"pytorch",
"tensorboard",
"resnet",
"image-classification",
"dataset:beans",
"transformers",
"vision",
"generated_from_trainer",
"model-index"
] | image-classification | false | eugenecamus | null | eugenecamus/resnet-50-base-beans-demo | 1 | null | transformers | 32,471 | ---
tags:
- image-classification
- vision
- generated_from_trainer
datasets:
- beans
metrics:
- accuracy
model-index:
- name: resnet-50-base-beans-demo
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: beans
type: beans
args: default
metrics:... |
jplu/adel-dbpedia-retrieval | 89b7e1e6d35306d21678b7cb794885b8fa0ff21a | 2022-05-27T21:58:29.000Z | [
"pytorch",
"distilbert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | jplu | null | jplu/adel-dbpedia-retrieval | 1 | null | sentence-transformers | 32,472 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
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 like cluster... |
Julietheg/checkpoint-1000 | a55afa8f11ffc26d533886b8d6fb8cdd2bff8600 | 2022-05-28T00:57:02.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"transformers",
"generated_from_keras_callback",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | Julietheg | null | Julietheg/checkpoint-1000 | 1 | null | transformers | 32,473 | ---
tags:
- generated_from_keras_callback
model-index:
- name: checkpoint-1000
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. -->
# checkpoint-1000
This model was traine... |
edharepe/T5_generacion_titulos | b4578843e0d1dbd99f5690f6b8251e6daf1f5a00 | 2022-05-28T05:32:42.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | edharepe | null | edharepe/T5_generacion_titulos | 1 | null | transformers | 32,474 | Este modelo ha sido creado a partir de T5 Fine tuning with PyTorch.ipynb de Shivanand Roy y entrenado con un dataset de noticias de un diario uruguayo, en el repositorio se encuentra todos los archivos resultante del procesos de entrenamiento |
aiface/test285 | d84e1b8d1caeddcc2e6747b87ff27e96096ce3a5 | 2022-05-28T08:57:56.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:vivos_dataset",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | aiface | null | aiface/test285 | 1 | null | transformers | 32,475 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- vivos_dataset
model-index:
- name: test285
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. -->
# t... |
KoichiYasuoka/deberta-small-coptic | 3e8086b8f36eea9409631f544972068e6f05b0a3 | 2022-05-28T08:48:57.000Z | [
"pytorch",
"deberta-v2",
"fill-mask",
"cop",
"transformers",
"coptic",
"masked-lm",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | fill-mask | false | KoichiYasuoka | null | KoichiYasuoka/deberta-small-coptic | 1 | null | transformers | 32,476 | ---
language:
- "cop"
tags:
- "coptic"
- "masked-lm"
license: "cc-by-sa-4.0"
pipeline_tag: "fill-mask"
mask_token: "[MASK]"
---
# deberta-small-coptic
## Model Description
This is a DeBERTa(V2) model pre-trained on Coptic Scriptorium Corpora. You can fine-tune `deberta-small-coptic` for downstream tasks, such as [PO... |
KoichiYasuoka/deberta-small-coptic-upos | 2517d835b70ad887bd29b59fbed4813fe45aedc9 | 2022-05-28T09:15:07.000Z | [
"pytorch",
"deberta-v2",
"token-classification",
"cop",
"dataset:universal_dependencies",
"transformers",
"coptic",
"pos",
"dependency-parsing",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | token-classification | false | KoichiYasuoka | null | KoichiYasuoka/deberta-small-coptic-upos | 1 | null | transformers | 32,477 | ---
language:
- "cop"
tags:
- "coptic"
- "token-classification"
- "pos"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "cc-by-sa-4.0"
pipeline_tag: "token-classification"
widget:
- text: "ⲧⲉⲛⲟⲩⲇⲉⲛ̄ⲟⲩⲟⲉⲓⲛϩ︤ⲙ︥ⲡϫⲟⲉⲓⲥ·"
- text: "ⲙⲟⲟϣⲉϩⲱⲥϣⲏⲣⲉⲙ̄ⲡⲟⲩⲟⲉⲓⲛ·"
---
# deberta-small-coptic-upos
## Model Descri... |
theojolliffe/bart-large-cnn-pubmed1o3-pubmed2o3-pubmed3o3 | 38b237719a0a09c73ece656a4573718c10a03ef8 | 2022-05-28T14:46:08.000Z | [
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"dataset:scientific_papers",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | theojolliffe | null | theojolliffe/bart-large-cnn-pubmed1o3-pubmed2o3-pubmed3o3 | 1 | null | transformers | 32,478 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- scientific_papers
metrics:
- rouge
model-index:
- name: bart-large-cnn-pubmed1o3-pubmed2o3-pubmed3o3
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: scientific_papers
type:... |
gary109/ai-light-dance_pretrain_wav2vec2-large-lv60 | 940ab8af063590ef66750ab60796e9b4ea7c40ee | 2022-06-10T17:53:36.000Z | [
"pytorch",
"wav2vec2",
"pretraining",
"transformers"
] | null | false | gary109 | null | gary109/ai-light-dance_pretrain_wav2vec2-large-lv60 | 1 | 1 | transformers | 32,479 | Entry not found |
autoevaluate/summarization | 3f3246b0f042523dc5580308c2ee61931903efa1 | 2022-05-28T13:18:28.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:xsum",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | autoevaluate | null | autoevaluate/summarization | 1 | null | transformers | 32,480 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- xsum
metrics:
- rouge
model-index:
- name: summarization
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: xsum
type: xsum
args: default
metrics:
- name:... |
ruselkomp/deeppavlov-framebank-full-5epochs | af8687e68222f0eee34841d84d7046b19e045cd9 | 2022-05-29T16:05:39.000Z | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | ruselkomp | null | ruselkomp/deeppavlov-framebank-full-5epochs | 1 | null | transformers | 32,481 | ---
tags:
- generated_from_trainer
model-index:
- name: deeppavlov-framebank-full-5epochs
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. -->
# deeppavlov-framebank-... |
Jefferson/PruebaPLN | a37f0abc3d124ee6ba24e63f52758f7ba188ebce | 2022-05-28T13:16:51.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Jefferson | null | Jefferson/PruebaPLN | 1 | null | transformers | 32,482 | Entry not found |
stevemobs/deberta-base-combined-squad1-aqa-and-newsqa | e9fce73b49bb64b53fc171def33eb7479408f967 | 2022-05-29T01:57:06.000Z | [
"pytorch",
"tensorboard",
"deberta",
"question-answering",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | question-answering | false | stevemobs | null | stevemobs/deberta-base-combined-squad1-aqa-and-newsqa | 1 | null | transformers | 32,483 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: deberta-base-combined-squad1-aqa-and-newsqa
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. -->
... |
JuanForeroNeme/ES_UC_MODELO_NPL_E3 | 081f1fe289c190d7a4e4d24f889be951628cb671 | 2022-05-28T16:05:52.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | JuanForeroNeme | null | JuanForeroNeme/ES_UC_MODELO_NPL_E3 | 1 | null | transformers | 32,484 | Entry not found |
ahGadji/dummy-model | 49e9f898e6d4ecd4b8bfa123bbb410da2893e836 | 2022-05-28T16:56:37.000Z | [
"pytorch",
"camembert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | ahGadji | null | ahGadji/dummy-model | 1 | null | transformers | 32,485 | Entry not found |
JuanForeroNeme/ES_UC_MODELO_NPL_E3_V0 | f50d5a6b98daae04ab16787d2c1e7f1bce316abd | 2022-05-28T17:30:57.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | JuanForeroNeme | null | JuanForeroNeme/ES_UC_MODELO_NPL_E3_V0 | 1 | null | transformers | 32,486 | Entry not found |
Anjoe/german-poetry-bert | 2bf96e8111b4196389786717014b5044adbe4daf | 2022-07-21T14:27:42.000Z | [
"pytorch",
"tf",
"bert",
"fill-mask",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | Anjoe | null | Anjoe/german-poetry-bert | 1 | null | transformers | 32,487 | ---
license: mit
---
|
subhasisj/squad-qa-minilmv2-XLMTokeinizer-8 | 4b784a0439916cc4eaed836baa0ed06d534bbcce | 2022-05-28T19:40:23.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | subhasisj | null | subhasisj/squad-qa-minilmv2-XLMTokeinizer-8 | 1 | null | transformers | 32,488 | Entry not found |
stevemobs/deberta-base-finetuned-squad1-aqa-newsqa | 5bb9645f0bf1eaa3d0856459a9e18213f5446930 | 2022-05-29T00:44:00.000Z | [
"pytorch",
"tensorboard",
"deberta",
"question-answering",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | question-answering | false | stevemobs | null | stevemobs/deberta-base-finetuned-squad1-aqa-newsqa | 1 | null | transformers | 32,489 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: deberta-base-finetuned-squad1-aqa-newsqa
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. -->
# d... |
stevemobs/deberta-base-newsqa | 65199077bad3f015c46e2d91396aae696d75fc0d | 2022-05-29T10:41:08.000Z | [
"pytorch",
"tensorboard",
"deberta",
"question-answering",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | question-answering | false | stevemobs | null | stevemobs/deberta-base-newsqa | 1 | null | transformers | 32,490 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: deberta-base-newsqa
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. -->
# deberta-base-newsqa
T... |
BigSalmon/InformalToFormalLincoln47 | 2086d9d0dd740fcd30120a986c49f226984625e8 | 2022-05-29T01:56:43.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | BigSalmon | null | BigSalmon/InformalToFormalLincoln47 | 1 | null | transformers | 32,491 | ```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln45")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln45")
```
```
How To Make Prompt:
informal english: i am very ready to do that just that.
Tra... |
stevemobs/deberta-base-finetuned-aqa-squad1-newsqa | 54df3d93d80d70eb75908d7a4cae0a1d4cfc607b | 2022-05-29T09:16:31.000Z | [
"pytorch",
"tensorboard",
"deberta",
"question-answering",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | question-answering | false | stevemobs | null | stevemobs/deberta-base-finetuned-aqa-squad1-newsqa | 1 | null | transformers | 32,492 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: deberta-base-finetuned-aqa-squad1-newsqa
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. -->
# d... |
BigSalmon/InformalToFormalLincoln48 | bba4dee290d27de3b776b0a816047c8d0d06783a | 2022-05-30T19:19:46.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | BigSalmon | null | BigSalmon/InformalToFormalLincoln48 | 1 | null | transformers | 32,493 | ```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln45")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln45")
```
```
How To Make Prompt:
informal english: i am very ready to do that just that.
Tra... |
Splend1dchan/wav2vec2-large-lv60_t5lephone-small_nofreeze_bs64_forST.cy.en | eaec2a5f72f202bab41765706eeb61640efeb2af | 2022-05-29T08:01:29.000Z | [
"pytorch",
"speechmix",
"transformers"
] | null | false | Splend1dchan | null | Splend1dchan/wav2vec2-large-lv60_t5lephone-small_nofreeze_bs64_forST.cy.en | 1 | null | transformers | 32,494 | Entry not found |
chrisvinsen/wav2vec2-13 | 744807846e6ebc1c28cbaf092a31ef30cd4e947d | 2022-05-29T09:11:01.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | chrisvinsen | null | chrisvinsen/wav2vec2-13 | 1 | null | transformers | 32,495 | Entry not found |
Flem/DialoGPT-medium-alastor | 3e8552b5e82d4437adbbb2cf77021b4839b1c5ea | 2022-05-29T09:45:48.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Flem | null | Flem/DialoGPT-medium-alastor | 1 | null | transformers | 32,496 | ---
tags:
- conversational
---
# Alastor The Radio Demon Demon DialoGPT Model |
Splend1dchan/wav2vec2-large-lv60_t5lephone-small_nofreeze_bs16_forMINDS | 69dfe37ae1cafd862fd3b53c042ec7624637eb03 | 2022-05-29T12:08:39.000Z | [
"pytorch",
"speechmix",
"transformers"
] | null | false | Splend1dchan | null | Splend1dchan/wav2vec2-large-lv60_t5lephone-small_nofreeze_bs16_forMINDS | 1 | null | transformers | 32,497 | Entry not found |
MeshalAlamr/wav2vec2-xls-r-300m-ar-11 | 7dd8365d45514aed3581c4ae5473e568ad16fed9 | 2022-05-30T02:26:00.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | MeshalAlamr | null | MeshalAlamr/wav2vec2-xls-r-300m-ar-11 | 1 | null | transformers | 32,498 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-xls-r-300m-ar-11
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 ... |
dexay/Ner1HgF | 29795dd335762ff873f4d394a8ad70d628af4688 | 2022-05-30T16:48:24.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | dexay | null | dexay/Ner1HgF | 1 | null | transformers | 32,499 | Entry not found |
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