modelId stringlengths 4 112 | sha stringlengths 40 40 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringclasses 29
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values | __index_level_0__ int64 0 38.5k | readme stringlengths 0 186k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
alireza7/ARMAN-MSR-persian-base-parsinlu-sentiment-movie | e97b744f510fdbd98184591b34232e24d78e57b7 | 2021-09-29T19:15:47.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | alireza7 | null | alireza7/ARMAN-MSR-persian-base-parsinlu-sentiment-movie | 1 | null | transformers | 28,600 | More information about models is available [here](https://github.com/alirezasalemi7/ARMAN). |
alireza7/ARMAN-SS-100-persian-base-tebyan | 526dcd841fb148f38a3822dc41f3fea7422bd40a | 2021-09-29T19:22:16.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | alireza7 | null | alireza7/ARMAN-SS-100-persian-base-tebyan | 1 | null | transformers | 28,601 | More information about models is available [here](https://github.com/alirezasalemi7/ARMAN). |
alireza7/ARMAN-SS-100-persian-base-voa-title | 36351e617ac6f81edd07fed3c6c3bd038f130d72 | 2021-09-29T19:22:22.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | alireza7 | null | alireza7/ARMAN-SS-100-persian-base-voa-title | 1 | null | transformers | 28,602 | More information about models is available [here](https://github.com/alirezasalemi7/ARMAN). |
alireza7/ARMAN-SS-80-persian-base-parsinlu-multiple-choice | 08621ac29067639431e2c25be09f8b56de2870ab | 2021-09-29T19:22:50.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | alireza7 | null | alireza7/ARMAN-SS-80-persian-base-parsinlu-multiple-choice | 1 | null | transformers | 28,603 | More information about models is available [here](https://github.com/alirezasalemi7/ARMAN). |
am-shb/xlm-roberta-base-pretrained | 942e5ca123b9a41b35689ed823d882ad656caa4d | 2022-02-09T15:53:08.000Z | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | fill-mask | false | am-shb | null | am-shb/xlm-roberta-base-pretrained | 1 | null | transformers | 28,604 | ---
tags:
- generated_from_trainer
model-index:
- name: roberta
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. -->
# roberta
This model is a fine-tuned version of ... |
aman21/DialoGPT-medium-Morty | 5ea203929fc7b93593f3bc6de41aea3334133946 | 2021-09-03T10:38:20.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | aman21 | null | aman21/DialoGPT-medium-Morty | 1 | null | transformers | 28,605 | ---
- conversation
--- |
ami-wav2vec2/ami-dummy-nithin | fd2ef3becd32ae2f3f53020e03f0d8eb912e31bb | 2021-10-14T07:47:52.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"en",
"transformers",
"ami",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | ami-wav2vec2 | null | ami-wav2vec2/ami-dummy-nithin | 1 | null | transformers | 28,606 | ---
language:
- en
license: apache-2.0
tags:
- automatic-speech-recognition
- ami
- generated_from_trainer
model-index:
- name: ami-dummy-nithin
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it,... |
ami-wav2vec2/ami-dummy-vumichien | 966f5299b7be5136bc7888644811ac72c4f8ba7f | 2021-10-22T05:35:13.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"en",
"transformers",
"ami",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | ami-wav2vec2 | null | ami-wav2vec2/ami-dummy-vumichien | 1 | null | transformers | 28,607 | ---
language:
- en
license: apache-2.0
tags:
- automatic-speech-recognition
- ami
- generated_from_trainer
model-index:
- name: ami-dummy-vumichien
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete ... |
ami-wav2vec2/wav2vec2-base-ami_multi-nithin2 | dd363a55338b00ef42ff3ae9cfa98cad5a9fc74c | 2021-10-17T05:29:27.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"en",
"transformers",
"ami",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | ami-wav2vec2 | null | ami-wav2vec2/wav2vec2-base-ami_multi-nithin2 | 1 | null | transformers | 28,608 | ---
language:
- en
license: apache-2.0
tags:
- automatic-speech-recognition
- ami
- generated_from_trainer
model-index:
- name: wav2vec2-base-ami_multi-nithin2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread a... |
ami-wav2vec2/wav2vec2-base-ami_multi-nithin4 | 426d7956576c225607db4f0ab3b4283c8d1069e9 | 2021-10-28T05:25:06.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"en",
"transformers",
"ami",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | ami-wav2vec2 | null | ami-wav2vec2/wav2vec2-base-ami_multi-nithin4 | 1 | null | transformers | 28,609 | ---
language:
- en
license: apache-2.0
tags:
- automatic-speech-recognition
- ami
- generated_from_trainer
model-index:
- name: wav2vec2-base-ami_multi-nithin4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread a... |
ami-wav2vec2/wav2vec2-base-ami_multi-nithin7 | 9eb9265b7cb5989561935117c43b160001468a63 | 2021-11-12T04:49:01.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | ami-wav2vec2 | null | ami-wav2vec2/wav2vec2-base-ami_multi-nithin7 | 1 | null | transformers | 28,610 | Entry not found |
ami-wav2vec2/wav2vec2-base-ami_multi-tune_0.00005_4 | 6d85fc4c769b54839275a5d71f117fc84e25fd41 | 2021-11-08T10:41:37.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"en",
"transformers",
"ami",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | ami-wav2vec2 | null | ami-wav2vec2/wav2vec2-base-ami_multi-tune_0.00005_4 | 1 | null | transformers | 28,611 | ---
language:
- en
license: apache-2.0
tags:
- automatic-speech-recognition
- ami
- generated_from_trainer
model-index:
- name: wav2vec2-base-tune_0.00005_4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and ... |
ami-wav2vec2/wav2vec2-base-ami_multi-tune_0.00005_8 | 27bd74261f63550935e22dd9fba87c5300be2356 | 2021-11-08T10:36:08.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"en",
"transformers",
"ami",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | ami-wav2vec2 | null | ami-wav2vec2/wav2vec2-base-ami_multi-tune_0.00005_8 | 1 | null | transformers | 28,612 | ---
language:
- en
license: apache-2.0
tags:
- automatic-speech-recognition
- ami
- generated_from_trainer
model-index:
- name: wav2vec2-base-tune_0.00005_8
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and ... |
ami-wav2vec2/wav2vec2-base-ami_multi-tune_0.0001_4 | 569e9de6307c2df4fecc24ebc702e3eb502d750e | 2021-11-08T10:55:19.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"en",
"transformers",
"ami",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | ami-wav2vec2 | null | ami-wav2vec2/wav2vec2-base-ami_multi-tune_0.0001_4 | 1 | null | transformers | 28,613 | ---
language:
- en
license: apache-2.0
tags:
- automatic-speech-recognition
- ami
- generated_from_trainer
model-index:
- name: wav2vec2-base-tune_0.0001_4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and c... |
ami-wav2vec2/wav2vec2-base-ami_multi-tune_0.0001_8 | 15c5312bcfcf14833e2e8d11b64c635380545292 | 2021-11-08T10:57:31.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"en",
"transformers",
"ami",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | ami-wav2vec2 | null | ami-wav2vec2/wav2vec2-base-ami_multi-tune_0.0001_8 | 1 | null | transformers | 28,614 | ---
language:
- en
license: apache-2.0
tags:
- automatic-speech-recognition
- ami
- generated_from_trainer
model-index:
- name: wav2vec2-base-tune_0.0001_8
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and c... |
ami-wav2vec2/wav2vec2-base-ami_multi-tune_0.0005_4 | 867d13382998f2aa2623852107d3157666c43a70 | 2021-11-08T10:50:42.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"en",
"transformers",
"ami",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | ami-wav2vec2 | null | ami-wav2vec2/wav2vec2-base-ami_multi-tune_0.0005_4 | 1 | null | transformers | 28,615 | ---
language:
- en
license: apache-2.0
tags:
- automatic-speech-recognition
- ami
- generated_from_trainer
model-index:
- name: wav2vec2-base-tune_0.0005_4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and c... |
ami-wav2vec2/wav2vec2-base-ami_multi-tune_0.0005_8 | 4b4cde96deb56d7c7c2e37e55e4e111b204dc7fe | 2021-11-08T10:52:56.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"en",
"transformers",
"ami",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | ami-wav2vec2 | null | ami-wav2vec2/wav2vec2-base-ami_multi-tune_0.0005_8 | 1 | null | transformers | 28,616 | ---
language:
- en
license: apache-2.0
tags:
- automatic-speech-recognition
- ami
- generated_from_trainer
model-index:
- name: wav2vec2-base-tune_0.0005_8
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and c... |
ami-wav2vec2/wav2vec2-large-lv60-ami_multi-tune_0.00005_16 | a57476cdfb0c8997cb7208bf9bdd30b656bf247e | 2021-11-18T19:20:43.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"en",
"transformers",
"ami",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | ami-wav2vec2 | null | ami-wav2vec2/wav2vec2-large-lv60-ami_multi-tune_0.00005_16 | 1 | null | transformers | 28,617 | ---
language:
- en
license: apache-2.0
tags:
- automatic-speech-recognition
- ami
- generated_from_trainer
model-index:
- name: wav2vec2-large-lv60-ami_multi-tune_0.00005_16
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probab... |
amitesh863/fin_embeds | c16cffe910da71896afaf86d9937907cb26f2ea1 | 2021-09-30T14:42:20.000Z | [
"pytorch",
"transformers"
] | null | false | amitesh863 | null | amitesh863/fin_embeds | 1 | null | transformers | 28,618 | Entry not found |
anas-awadalla/roberta-base-few-shot-k-128-finetuned-squad-seed-42 | d289393de4836514f393f1a117cfc57c7cb9f662 | 2022-02-21T21:29:23.000Z | [
"pytorch",
"tensorboard",
"roberta",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | question-answering | false | anas-awadalla | null | anas-awadalla/roberta-base-few-shot-k-128-finetuned-squad-seed-42 | 1 | null | transformers | 28,619 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: roberta-base-few-shot-k-128-finetuned-squad-seed-42
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 ... |
anas-awadalla/spanbert-base-cased-few-shot-k-1024-finetuned-squad-seed-42 | 3959b64f7b1e21997a3969aee25cb1f179145012 | 2022-02-21T22:44:41.000Z | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | anas-awadalla | null | anas-awadalla/spanbert-base-cased-few-shot-k-1024-finetuned-squad-seed-42 | 1 | null | transformers | 28,620 | ---
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: spanbert-base-cased-few-shot-k-1024-finetuned-squad-seed-42
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remov... |
andi611/distilbert-base-uncased-squad | 26b42bf3a50656230e75f135cd0210e3f6abc745 | 2021-07-15T00:45:07.000Z | [
"pytorch",
"distilbert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | false | andi611 | null | andi611/distilbert-base-uncased-squad | 1 | null | transformers | 28,621 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model_index:
- name: distilbert-base-uncased-qa
results:
- task:
name: Question Answering
type: question-answering
dataset:
name: squad
type: squad
args: plain_text
---
<!-- This model card has been generated... |
andi611/distilbert-base-uncased-squad2-with-ner-with-neg-with-repeat | c5bfc64309c183461bee935e0ea9d4ee94a03edf | 2021-08-14T13:58:51.000Z | [
"pytorch",
"distilbert",
"question-answering",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | question-answering | false | andi611 | null | andi611/distilbert-base-uncased-squad2-with-ner-with-neg-with-repeat | 1 | null | transformers | 28,622 | ---
tags:
- generated_from_trainer
datasets:
- conll2003
model_index:
- name: distilbert-base-uncased-squad2-with-ner-with-neg-with-repeat
results:
- task:
name: Question Answering
type: question-answering
dataset:
name: conll2003
type: conll2003
args: conll2003
---
<!-- This mode... |
ange/DialoGPT-medium-Monke | 1fb0a62810680d983d283fee75a6641150c0e88c | 2022-01-03T15:15:35.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ange | null | ange/DialoGPT-medium-Monke | 1 | null | transformers | 28,623 | ---
tags:
- conversational
---
#Monke Messenger DialoGPT Model |
ankimt01/DialoGPT-small-anch | 2e8b86ff8a4f28c25753f289b9f02170ea602c86 | 2022-02-16T17:40:36.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ankimt01 | null | ankimt01/DialoGPT-small-anch | 1 | null | transformers | 28,624 | ---
tags:
- conversational
---
# myself DialoGPT Model |
ankitkupadhyay/dummy-model | c27c48af32c750682f3f9a5a22e850367845d6e6 | 2022-02-04T17:47:15.000Z | [
"pytorch",
"camembert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | ankitkupadhyay | null | ankitkupadhyay/dummy-model | 1 | null | transformers | 28,625 | Entry not found |
anondo/test_anon | 169cd7687c51fe0d3ce05a73b57cc0125fa1a52d | 2022-02-09T11:04:14.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | anondo | null | anondo/test_anon | 1 | null | transformers | 28,626 | Entry not found |
anton-l/wav2vec2-base-960h | cd5d5f83554cf69c7df59deb1fb3e164dec8650a | 2021-07-05T19:38:21.000Z | [
"pytorch",
"wav2vec2",
"pretraining",
"transformers"
] | null | false | anton-l | null | anton-l/wav2vec2-base-960h | 1 | null | transformers | 28,627 | Entry not found |
anton-l/wav2vec2-large-xlsr-53-mongolian | 52113105371bd2df959d366f524103ae6d7ca09d | 2021-07-05T20:13:41.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"mn",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | anton-l | null | anton-l/wav2vec2-large-xlsr-53-mongolian | 1 | null | transformers | 28,628 | ---
language: mn
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Mongolian XLSR Wav2Vec2 Large 53 by Anton Lozhkov
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
... |
anton-l/wav2vec2-xls-r-common_voice-tr-ft | 40844e2b1a433b29a26f7a1396fe6324c0549459 | 2022-01-31T09:48:53.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"tr",
"transformers",
"common_voice",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | anton-l | null | anton-l/wav2vec2-xls-r-common_voice-tr-ft | 1 | null | transformers | 28,629 | ---
language:
- tr
license: apache-2.0
tags:
- automatic-speech-recognition
- common_voice
- generated_from_trainer
model-index:
- name: wav2vec2-xls-r-common_voice-tr-ft-500sh
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pro... |
anuragshas/wav2vec2-large-xls-r-300m-hi | fdd9879255249a48cdfeb928b1265f103e583b41 | 2022-01-20T20:38:42.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | anuragshas | null | anuragshas/wav2vec2-large-xls-r-300m-hi | 1 | null | transformers | 28,630 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-hi
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 th... |
anuragshas/wav2vec2-large-xls-r-300m-ur | 68b9a689b9b3bb98f4e53538c307fc734bddb883 | 2022-01-21T04:32:18.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | anuragshas | null | anuragshas/wav2vec2-large-xls-r-300m-ur | 1 | null | transformers | 28,631 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-ur
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 th... |
anuragshas/wav2vec2-large-xlsr-53-hsb | 2247e1055eeba8978514d3858ca53be44a8f2f3a | 2021-07-05T20:57:25.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"hsb",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | anuragshas | null | anuragshas/wav2vec2-large-xlsr-53-hsb | 1 | null | transformers | 28,632 | ---
language: hsb
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Anurag Singh XLSR Wav2Vec2 Large 53 Sorbian, Upper
results:
- task:
name: Speech Recognition
type: automatic-speech-recogniti... |
anuragshas/wav2vec2-large-xlsr-53-odia | 355811285d7023e86b669cd881e63a5f0c24ba0f | 2021-07-05T21:08:48.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"or",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | anuragshas | null | anuragshas/wav2vec2-large-xlsr-53-odia | 1 | null | transformers | 28,633 | ---
language: or
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Anurag Singh XLSR Wav2Vec2 Large 53 Odia
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
data... |
anuragshas/wav2vec2-xlsr-53-pa-in | 1aa6b15be1b2082ac86c63c097411045f841b4ac | 2021-07-05T21:47:48.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"pa-IN",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | anuragshas | null | anuragshas/wav2vec2-xlsr-53-pa-in | 1 | null | transformers | 28,634 | ---
language: pa-IN
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Anurag Singh XLSR Wav2Vec2 Large 53 Punjabi
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
... |
anuragshas/wav2vec2-xlsr-53-tamil | b1843f913ddd58d76011ebdbf3f28733947351af | 2021-07-05T21:55:09.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"ta",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | anuragshas | null | anuragshas/wav2vec2-xlsr-53-tamil | 1 | null | transformers | 28,635 | ---
language: ta
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Anurag Singh XLSR Wav2Vec2 Large 53 Tamil
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dat... |
anushakamath/wav2vec2-xls-r-300m-punjabi-in | ea6e1c0c225b5550d21c37d8bb93684f68301b6c | 2022-02-08T16:59:54.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | anushakamath | null | anushakamath/wav2vec2-xls-r-300m-punjabi-in | 1 | null | transformers | 28,636 | Entry not found |
aodiniz/bert_uncased_L-10_H-512_A-8_cord19-200616_squad2_covid-qna | 4f28439f4867d4fc824e2b653e67d0b9bbaa90c2 | 2021-05-18T23:45:57.000Z | [
"pytorch",
"jax",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | aodiniz | null | aodiniz/bert_uncased_L-10_H-512_A-8_cord19-200616_squad2_covid-qna | 1 | null | transformers | 28,637 | Entry not found |
aodiniz/bert_uncased_L-10_H-512_A-8_squad2_covid-qna | 7cb3b1b70734722ceff7f23f18ad924ad095b22f | 2021-05-18T23:47:06.000Z | [
"pytorch",
"jax",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | aodiniz | null | aodiniz/bert_uncased_L-10_H-512_A-8_squad2_covid-qna | 1 | null | transformers | 28,638 | Entry not found |
aodiniz/bert_uncased_L-2_H-512_A-8_cord19-200616_squad2 | 60a9bca6ff41c96e9bf6a9b9ead63c0bfb2a3842 | 2021-05-18T23:49:22.000Z | [
"pytorch",
"jax",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | aodiniz | null | aodiniz/bert_uncased_L-2_H-512_A-8_cord19-200616_squad2 | 1 | null | transformers | 28,639 | Entry not found |
aodiniz/bert_uncased_L-4_H-256_A-4_cord19-200616_squad2 | 401c629c9d1d448c5f92d308723d9dfaa6955f63 | 2021-05-18T23:51:46.000Z | [
"pytorch",
"jax",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | aodiniz | null | aodiniz/bert_uncased_L-4_H-256_A-4_cord19-200616_squad2 | 1 | null | transformers | 28,640 | Entry not found |
aodiniz/bert_uncased_L-4_H-512_A-8_cord19-200616 | fd80c4df83c26e4d026ce88fc0f9ced740ef7810 | 2021-05-18T23:53:15.000Z | [
"pytorch",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | aodiniz | null | aodiniz/bert_uncased_L-4_H-512_A-8_cord19-200616 | 1 | null | transformers | 28,641 | Entry not found |
aodiniz/bert_uncased_L-6_H-128_A-2_cord19-200616 | f46c0227955b47f67b532ce34a64276d30035ec4 | 2021-05-18T23:58:53.000Z | [
"pytorch",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | aodiniz | null | aodiniz/bert_uncased_L-6_H-128_A-2_cord19-200616 | 1 | null | transformers | 28,642 | Entry not found |
aodiniz/bert_uncased_L-6_H-128_A-2_cord19-200616_squad2_covid-qna | 71958a25627dac4c32125638466b6d89caf224c8 | 2021-05-18T23:59:30.000Z | [
"pytorch",
"jax",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | aodiniz | null | aodiniz/bert_uncased_L-6_H-128_A-2_cord19-200616_squad2_covid-qna | 1 | null | transformers | 28,643 | Entry not found |
aodiniz/bert_uncased_L-6_H-128_A-2_squad2_covid-qna | c10728df8ccee3dd4c2b226203fc7fd950c12f7b | 2021-05-19T00:00:06.000Z | [
"pytorch",
"jax",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | aodiniz | null | aodiniz/bert_uncased_L-6_H-128_A-2_squad2_covid-qna | 1 | null | transformers | 28,644 | Entry not found |
aozorahime/my-new-model | 49177e8a1e3db05afd88a88316f2766fd2d1e3c4 | 2021-11-19T03:15:33.000Z | [
"pytorch",
"bert",
"question-answering",
"dataset:xsum",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | aozorahime | null | aozorahime/my-new-model | 1 | null | transformers | 28,645 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- xsum
model-index:
- name: my-new-model
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. -->
# my-ne... |
apeguero/wav2vec2-large-xls-r-300m-tr-colab-3 | 9f84e898b31551009359a0e0a6656bce17a08ca9 | 2021-11-23T02:27:27.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | apeguero | null | apeguero/wav2vec2-large-xls-r-300m-tr-colab-3 | 1 | null | transformers | 28,646 | Entry not found |
aplnestrella/Aladdin-Bot | da5b6e2fd852e1b71756d12befaf08116f074b13 | 2022-01-24T15:30:47.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | aplnestrella | null | aplnestrella/Aladdin-Bot | 1 | null | transformers | 28,647 | ---
tags:
- conversational
---
# Aladdin Bot |
arampacha/wav2vec2-xls-r-1b-hy-cv | b1960da0f376244f91860ce732c50ee8d7ff92f2 | 2022-03-24T11:51:56.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"hy-AM",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"mozilla-foundation/common_voice_8_0",
"generated_from_trainer",
"robust-speech-event",
"hy",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-ind... | automatic-speech-recognition | false | arampacha | null | arampacha/wav2vec2-xls-r-1b-hy-cv | 1 | null | transformers | 28,648 | ---
language:
- hy-AM
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
- robust-speech-event
- hy
- hf-asr-leaderboard
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: wav2vec2-xls-r-1b-hy-cv
results:
- task:
type: auto... |
arampacha/wav2vec2-xls-r-1b-ka | 8c9615d1d7bb8e3209377d7142b84a1f5dbcf8a9 | 2022-03-24T11:51:59.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"ka",
"dataset:common_voice",
"transformers",
"mozilla-foundation/common_voice_8_0",
"generated_from_trainer",
"robust-speech-event",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | arampacha | null | arampacha/wav2vec2-xls-r-1b-ka | 1 | null | transformers | 28,649 |
---
language:
- ka
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
- robust-speech-event
- hf-asr-leaderboard
datasets:
- common_voice
model-index:
- name: wav2vec2-xls-r-1b-ka
results:
- task:
type: automatic-speech-recognition
na... |
arampacha/wav2vec2-xls-r-300m-ka | 43b259481ada489eedd53f5908c184d57f86f91b | 2022-02-07T16:50:37.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | arampacha | null | arampacha/wav2vec2-xls-r-300m-ka | 1 | null | transformers | 28,650 | Entry not found |
aristotletan/bart-large-finetuned-xsum | b084aae3ff6f0112158768c2a1a5d0d89afe0eb8 | 2021-07-22T01:45:40.000Z | [
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"dataset:wsj_markets",
"transformers",
"generated_from_trainer",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | aristotletan | null | aristotletan/bart-large-finetuned-xsum | 1 | null | transformers | 28,651 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- wsj_markets
metrics:
- rouge
model_index:
- name: bart-large-finetuned-xsum
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: wsj_markets
type: wsj_markets
args: defaul... |
arredondos/my_sentence_transformer | 1b664ac982886f2b4ba02b2010b16d44734dd917 | 2022-02-08T13:10:36.000Z | [
"pytorch",
"bert",
"feature-extraction",
"en",
"arxiv:1904.06472",
"arxiv:2102.07033",
"arxiv:2104.08727",
"arxiv:1704.05179",
"arxiv:1810.09305",
"sentence-transformers",
"sentence-similarity",
"license:apache-2.0"
] | sentence-similarity | false | arredondos | null | arredondos/my_sentence_transformer | 1 | null | sentence-transformers | 28,652 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
language: en
license: apache-2.0
---
# all-MiniLM-L6-v2
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used ... |
arvalinno/albert-base-v2-finetuned-squad | 48b1bdab1fe50337d9e2eb4e0480507b9e124638 | 2021-11-20T12:05:42.000Z | [
"pytorch",
"tensorboard",
"albert",
"question-answering",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | arvalinno | null | arvalinno/albert-base-v2-finetuned-squad | 1 | null | transformers | 28,653 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: albert-base-v2-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# albe... |
asad/DialoGPT-small-harryporter_bot | 9d8c624fb477561b4afb2dd382b6f6d863aaa1ef | 2021-08-30T20:03:39.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | asad | null | asad/DialoGPT-small-harryporter_bot | 1 | null | transformers | 28,654 | ---
tags:
- conversational
---
# Harry porter DialoGPT model |
asahi417/relbert-roberta-large-autoprompt | 906fae8581dcb3ab3c53e7de01baf8da450026e4 | 2021-07-05T13:44:37.000Z | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | asahi417 | null | asahi417/relbert-roberta-large-autoprompt | 1 | null | transformers | 28,655 | # RelBERT
RoBERTa finetuned on the contrastive loss for lexical relation. Please take a look [the official repository](https://github.com/asahi417/relbert).
|
asahi417/relbert-roberta-large-ptuning | 336eae9156d8c962a90b8047c6d23455cca8b78a | 2021-07-05T13:45:58.000Z | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | asahi417 | null | asahi417/relbert-roberta-large-ptuning | 1 | null | transformers | 28,656 | # RelBERT
RoBERTa finetuned on the contrastive loss for lexical relation. Please take a look [the official repository](https://github.com/asahi417/relbert).
|
tner/xlm-roberta-base-bionlp2004 | 18200eff294ece59a4894c346903336dccc92a0b | 2021-02-12T23:32:10.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-base-bionlp2004 | 1 | null | transformers | 28,657 | # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-base-bionlp2004")
model = A... |
tner/xlm-roberta-base-uncased-bionlp2004 | 89f696e19c878cef1fd15d9b573dcebef10306ab | 2021-02-12T23:35:21.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-base-uncased-bionlp2004 | 1 | null | transformers | 28,658 |
# XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-base-uncased-bionlp2004")
... |
tner/xlm-roberta-base-uncased-conll2003 | 391abb9d03797a8190b182f12dd9669eff533458 | 2021-02-13T00:08:16.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-base-uncased-conll2003 | 1 | null | transformers | 28,659 | # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-base-uncased-conll2003")
mo... |
tner/xlm-roberta-base-uncased-fin | 2e0484b89059294ff8f294929349a4e327880da1 | 2021-02-12T23:47:27.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-base-uncased-fin | 1 | null | transformers | 28,660 | # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-base-uncased-fin")
model = ... |
tner/xlm-roberta-base-uncased-wnut2017 | 6256e02178a6a23df64ad33e5228f5e82c7a7599 | 2021-02-12T23:48:34.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-base-uncased-wnut2017 | 1 | null | transformers | 28,661 | # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-base-uncased-wnut2017")
mod... |
tner/xlm-roberta-base-wnut2017 | 246bce25ad65c4b94a613c35babda0e4871a5517 | 2021-02-13T00:10:57.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-base-wnut2017 | 1 | null | transformers | 28,662 | # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-base-wnut2017")
model = Aut... |
tner/xlm-roberta-large-bionlp2004 | 6afa746cbaf1edca1f40c5a2ce44020d20ac4289 | 2021-02-13T00:04:14.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-large-bionlp2004 | 1 | null | transformers | 28,663 | # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-large-bionlp2004")
model = ... |
tner/xlm-roberta-large-conll2003 | 993cdb4505d73d8334d34c337fd4f431506a6f4c | 2021-02-13T00:11:10.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-large-conll2003 | 1 | null | transformers | 28,664 | # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-large-conll2003")
model = A... |
tner/xlm-roberta-large-panx-dataset-ko | eed173cccd2a276b418c3be9e7539de89fce2f78 | 2021-02-13T00:05:08.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-large-panx-dataset-ko | 1 | null | transformers | 28,665 | # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-large-panx-dataset-ko")
mod... |
tner/xlm-roberta-large-uncased-bionlp2004 | c828d3ee06bebaab5e825d51d4297c119934c4bf | 2021-02-13T00:05:40.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-large-uncased-bionlp2004 | 1 | null | transformers | 28,666 | # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-large-uncased-bionlp2004")
... |
tner/xlm-roberta-large-uncased-conll2003 | 67880b85888913cc4c1f3932a63032706ae527e7 | 2021-02-13T00:11:51.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-large-uncased-conll2003 | 1 | null | transformers | 28,667 | # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-large-uncased-conll2003")
m... |
tner/xlm-roberta-large-uncased-mit-restaurant | 9261f8aa32fcfcdf75e582a842f324c4b3ac28a9 | 2021-02-13T00:06:06.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-large-uncased-mit-restaurant | 1 | null | transformers | 28,668 | # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-large-uncased-mit-restaurant")
... |
tner/xlm-roberta-large-uncased-panx-dataset-en | ac489112a1976f0676fc8983be6b1cd85b7dc68b | 2021-02-13T00:06:19.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-large-uncased-panx-dataset-en | 1 | null | transformers | 28,669 | # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-large-uncased-panx-dataset-en")
... |
tner/xlm-roberta-large-wnut2017 | 6de5f0a4823ba9e61de7e89e1f8f7a42a8429549 | 2021-02-13T00:06:30.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-large-wnut2017 | 1 | null | transformers | 28,670 | # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-large-wnut2017")
model = Au... |
asakawa/distilgpt2-finetuned-wikitext2 | 065cc225fd17948f22fd53961c63e746706f299f | 2022-01-06T07:50:50.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | asakawa | null | asakawa/distilgpt2-finetuned-wikitext2 | 1 | null | transformers | 28,671 | Entry not found |
asakawa/gpt2-wikitext2 | 5f301c1ebacc8af38a5dd83d11e0f9e608cfa9fd | 2022-01-06T02:41:39.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | asakawa | null | asakawa/gpt2-wikitext2 | 1 | null | transformers | 28,672 | Entry not found |
asapp/sew-d-base-100k | baa619cd5e0d12bcd4ed2a31f37cb0813f52f04d | 2021-10-28T13:44:39.000Z | [
"pytorch",
"sew-d",
"feature-extraction",
"en",
"dataset:librispeech_asr",
"arxiv:2109.06870",
"transformers",
"speech",
"license:apache-2.0"
] | feature-extraction | false | asapp | null | asapp/sew-d-base-100k | 1 | null | transformers | 28,673 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
license: apache-2.0
---
# SEW-D-base
[SEW-D by ASAPP Research](https://github.com/asappresearch/sew)
The base model pretrained on 16kHz sampled speech audio. When using the model make sure that your speech input is also sampled at 16Khz. Note that this mode... |
asapp/sew-d-mid-400k | 0b74b6e7f270b1b95e27003d45f85ae105a15e62 | 2021-10-28T13:59:38.000Z | [
"pytorch",
"sew-d",
"feature-extraction",
"en",
"dataset:librispeech_asr",
"arxiv:2109.06870",
"transformers",
"speech",
"license:apache-2.0"
] | feature-extraction | false | asapp | null | asapp/sew-d-mid-400k | 1 | 1 | transformers | 28,674 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
license: apache-2.0
---
# SEW-D-mid
[SEW-D by ASAPP Research](https://github.com/asappresearch/sew)
The base model pretrained on 16kHz sampled speech audio. When using the model make sure that your speech input is also sampled at 16Khz. Note that this model... |
asapp/sew-d-mid-k127-100k | 094aae1a58c27399314f6db1b9d8bd628a66b758 | 2021-10-28T14:01:21.000Z | [
"pytorch",
"sew-d",
"feature-extraction",
"en",
"dataset:librispeech_asr",
"arxiv:2109.06870",
"transformers",
"speech",
"license:apache-2.0"
] | feature-extraction | false | asapp | null | asapp/sew-d-mid-k127-100k | 1 | null | transformers | 28,675 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
license: apache-2.0
---
# SEW-D-mid
[SEW-D by ASAPP Research](https://github.com/asappresearch/sew)
The base model pretrained on 16kHz sampled speech audio. When using the model make sure that your speech input is also sampled at 16Khz. Note that this model... |
asapp/sew-d-mid-k127-400k-ft-ls100h | a7cd98a3eca1f685a3223e5deae1bc2cce1f305d | 2022-05-24T13:09:50.000Z | [
"pytorch",
"sew-d",
"automatic-speech-recognition",
"en",
"dataset:librispeech_asr",
"arxiv:2109.06870",
"transformers",
"audio",
"speech",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | asapp | null | asapp/sew-d-mid-k127-400k-ft-ls100h | 1 | null | transformers | 28,676 | ---
language: en
datasets:
- librispeech_asr
tags:
- audio
- speech
- automatic-speech-recognition
- hf-asr-leaderboard
license: apache-2.0
widget:
- example_title: Librispeech sample 1
src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
- example_title: Librispeech sample 2
src: https://cdn-media.hug... |
asapp/sew-d-mid-k127-400k | 051e112e1e7b4fb16b156167e06cc54eb395bbc2 | 2021-10-28T14:04:35.000Z | [
"pytorch",
"sew-d",
"feature-extraction",
"en",
"dataset:librispeech_asr",
"arxiv:2109.06870",
"transformers",
"speech",
"license:apache-2.0"
] | feature-extraction | false | asapp | null | asapp/sew-d-mid-k127-400k | 1 | null | transformers | 28,677 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
license: apache-2.0
---
# SEW-D-mid
[SEW-D by ASAPP Research](https://github.com/asappresearch/sew)
The base model pretrained on 16kHz sampled speech audio. When using the model make sure that your speech input is also sampled at 16Khz. Note that this model... |
asheads/PredreamBERT | 00546ec02ac6a8c2ca8223d528ae1e187a531d06 | 2022-02-19T17:13:42.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | asheads | null | asheads/PredreamBERT | 1 | null | transformers | 28,678 | Entry not found |
ashwani-tanwar/Gujarati-XLM-R-Base | 892ae30c8b57428e02c60ba95fbfc9a26a5cd5e1 | 2020-12-11T21:34:15.000Z | [
"pytorch",
"tf",
"xlm-roberta",
"fill-mask",
"gu",
"transformers",
"autotrain_compatible"
] | fill-mask | false | ashwani-tanwar | null | ashwani-tanwar/Gujarati-XLM-R-Base | 1 | null | transformers | 28,679 | ---
language: gu
---
# Gujarati-XLM-R-Base
This model is finetuned over [XLM-RoBERTa](https://huggingface.co/xlm-roberta-base) (XLM-R) using its base variant with the Gujarati language using the [OSCAR](https://oscar-corpus.com/) monolingual dataset. We used the same masked language modelling (MLM) objective ... |
ashwani-tanwar/Gujarati-XLM-R-Large | 0d969e4113b2ba5dc4dd10b726e1ea97ae9a9f85 | 2020-12-12T01:39:10.000Z | [
"pytorch",
"tf",
"xlm-roberta",
"fill-mask",
"gu",
"transformers",
"autotrain_compatible"
] | fill-mask | false | ashwani-tanwar | null | ashwani-tanwar/Gujarati-XLM-R-Large | 1 | null | transformers | 28,680 | ---
language: gu
---
# Gujarati-XLM-R-Large
This model is finetuned over [XLM-RoBERTa](https://huggingface.co/xlm-roberta-large) (XLM-R) using its large variant with the Gujarati language using the [OSCAR](https://oscar-corpus.com/) monolingual dataset. We used the same masked language modelling (MLM) objective whic... |
ashwani-tanwar/Gujarati-in-Devanagari-XLM-R-Base | 7ccc8fe2e10d5840dda04fb01e5794ce0dd7db9e | 2020-12-12T02:22:48.000Z | [
"pytorch",
"tf",
"xlm-roberta",
"fill-mask",
"gu",
"transformers",
"autotrain_compatible"
] | fill-mask | false | ashwani-tanwar | null | ashwani-tanwar/Gujarati-in-Devanagari-XLM-R-Base | 1 | null | transformers | 28,681 | ---
language: gu
---
# Gujarati-in-Devanagari-XLM-R-Base
This model is finetuned over [XLM-RoBERTa](https://huggingface.co/xlm-roberta-base) (XLM-R) using its base variant with the Gujarati language using the [OSCAR](https://oscar-corpus.com/) monolingual dataset. We converted the Gujarati script to the Devanagari u... |
asifm43/bert-bn | 42bc072fbabd8c4db2e1868c40ccb8a6fa4c13d1 | 2022-01-15T12:22:19.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | asifm43 | null | asifm43/bert-bn | 1 | null | transformers | 28,682 | Entry not found |
astrobreazy/DialoGPT-small-harrypotter | 23b144f02ae3b8adfa2a147c4773b42d8e075ba2 | 2022-02-14T05:56:06.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | astrobreazy | null | astrobreazy/DialoGPT-small-harrypotter | 1 | null | transformers | 28,683 | ---
tags:
- conversational
---
#Harry Potter DialoGPT Model |
aszidon/distilbertcustom3 | debe9b61f0462ada8cb91906e4844fa6289c85f2 | 2021-11-06T03:47:59.000Z | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | aszidon | null | aszidon/distilbertcustom3 | 1 | null | transformers | 28,684 | Entry not found |
aszidon/distilbertcustom4 | 692eff779e58d364612755f3966839ac3f833377 | 2021-11-08T01:33:03.000Z | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | aszidon | null | aszidon/distilbertcustom4 | 1 | null | transformers | 28,685 | Entry not found |
atharvapatil128/JakeBot | 1b4b047ea979a504ebe17be359eea0b109ceebb8 | 2021-12-03T05:23:01.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | atharvapatil128 | null | atharvapatil128/JakeBot | 1 | null | transformers | 28,686 | Entry not found |
atomsspawn/DialoGPT-small-dumbledore | df931add605ef655a01f71faec7bc3792b941f8b | 2022-04-12T20:36:23.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | atomsspawn | null | atomsspawn/DialoGPT-small-dumbledore | 1 | null | transformers | 28,687 | ---
tags:
- conversational
---
# Dumbledore DialoGPT Model |
augustojaba/DialoGPT-small-harrypotter | 3a6d061458037d880dac4104c31fe1698b0782b9 | 2021-09-02T00:59:12.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | augustojaba | null | augustojaba/DialoGPT-small-harrypotter | 1 | null | transformers | 28,688 | ---
tags:
- conversational
---
#Harry Potter DialoGPT Model |
avichr/ar_hd | 0588e15d88ed83d122a251f10f77954a99c61cd8 | 2021-05-19T12:01:47.000Z | [
"pytorch",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | avichr | null | avichr/ar_hd | 1 | null | transformers | 28,689 | Entry not found |
aws-ai/pairsupcon-bert-large-uncased | fbf1fb66e0799bf7fc8f925d4e37db8c2e9dd100 | 2021-12-18T19:41:42.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | aws-ai | null | aws-ai/pairsupcon-bert-large-uncased | 1 | null | transformers | 28,690 | Entry not found |
awvik360/DialoGPT-small-plemons | 2b0582b02026c1e021ccec224aede5e7fa0d08a9 | 2021-06-19T23:55:05.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | awvik360 | null | awvik360/DialoGPT-small-plemons | 1 | null | transformers | 28,691 | ---
tags:
- conversational
---
# My Awesome Model |
azwierzc/plt5-small-pl-to-sql | 5dab53061da5adad2cb4383c7a54271c36a1a0cd | 2022-02-13T19:42:52.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | azwierzc | null | azwierzc/plt5-small-pl-to-sql | 1 | null | transformers | 28,692 | Entry not found |
b0shakk/DialoGPT-small-Ragnar | cf9b36646f1d5ae7ba11727291d7ea022515e835 | 2021-08-31T07:39:55.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | b0shakk | null | b0shakk/DialoGPT-small-Ragnar | 1 | null | transformers | 28,693 | ---
tags:
- conversational
---
#Ragnar Lothbrok DialoGPT Model |
bagdaebhishek/IndianPoliticalTweetsLMMedium | bbcf0a2ec986527467afb3110a446e20d513186b | 2021-09-22T08:13:46.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"dataset:Twitter",
"dataset:IndianPolitics",
"transformers",
"India",
"politics",
"tweets",
"BJP",
"Congress",
"AAP",
"lm-head",
"license:apache-2.0"
] | text-generation | false | bagdaebhishek | null | bagdaebhishek/IndianPoliticalTweetsLMMedium | 1 | null | transformers | 28,694 | ---
language: en
thumbnail: https://bagdeabhishek.github.io/twitterAnalysis_files/networkfin.jpg
tags:
- India
- politics
- tweets
- BJP
- Congress
- AAP
- pytorch
- gpt2
- lm-head
- text-generation
license: apache-2.0
datasets:
- Twitter
- IndianPolitics
---
# Model name
Indian Political Tweets LM Medium (Based on GP... |
baicuya/bert_cn | 30721f0841e7beddde3cb43df24308432012a388 | 2021-06-27T13:37:59.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | baicuya | null | baicuya/bert_cn | 1 | null | transformers | 28,695 | hello
|
balta/DialoGPT-small-TestBot | cd24ee53d7a6775ebf8d4901284b2574643b4388 | 2021-09-16T21:26:26.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | balta | null | balta/DialoGPT-small-TestBot | 1 | null | transformers | 28,696 | ---
tags:
- conversational
---
# Test Bot DialoGTP Model |
bana513/opennmt-translator-en-hu | 1d34f28faae951a3ae275d73e1a9ef0e80a3986e | 2021-12-16T14:42:36.000Z | [
"pytorch",
"opennmt-translator6",
"transformers"
] | null | false | bana513 | null | bana513/opennmt-translator-en-hu | 1 | null | transformers | 28,697 | Entry not found |
baophuc27/tbwt_grammar | 0eca024afe8b91bbe3ed1243bb260970ffcc617b | 2021-12-11T14:51:51.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | baophuc27 | null | baophuc27/tbwt_grammar | 1 | null | transformers | 28,698 | Entry not found |
bayartsogt/wav2vec2-large-xlsr-mongolian | 8211dbbd10fc7444eac153f69266a8128e8a7472 | 2021-07-05T22:56:55.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"mn",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | bayartsogt | null | bayartsogt/wav2vec2-large-xlsr-mongolian | 1 | null | transformers | 28,699 | ---
language: mn
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Mongolian by Bayartsogt
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: Co... |
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