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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
thebyy/DialoGPT-small-mortyisarick | c5dfb0dc22b3cee5cd8ca5c1d68650bdcc429722 | 2022-05-20T04:13:22.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | thebyy | null | thebyy/DialoGPT-small-mortyisarick | 0 | null | transformers | 37,600 | ---
tags:
- conversational
--- |
huggingtweets/connorhvnsen | 084e9ea9979fad8d628956785622bccaecf8d885 | 2022-05-20T03:52:28.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/connorhvnsen | 0 | null | transformers | 37,601 | ---
language: en
thumbnail: http://www.huggingtweets.com/connorhvnsen/1653018744349/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; wi... |
umanlp/mt5-mlm-16 | 867d4eeafd35ea31e097b713f66c5a1395c2e5f9 | 2022-05-20T09:45:06.000Z | [
"pytorch",
"mt5",
"feature-extraction",
"transformers"
] | feature-extraction | false | umanlp | null | umanlp/mt5-mlm-16 | 0 | null | transformers | 37,602 | Entry not found |
umanlp/mt5-mlm-wiki14 | 04379b4bb8887c8382799a7fff3b9a716845f5e1 | 2022-05-20T09:56:45.000Z | [
"pytorch",
"mt5",
"feature-extraction",
"transformers"
] | feature-extraction | false | umanlp | null | umanlp/mt5-mlm-wiki14 | 0 | null | transformers | 37,603 | Entry not found |
huggingtweets/welcomeunknown | c2f396f0fea7240b439bb8355e2436889619bb89 | 2022-05-20T12:32:41.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/welcomeunknown | 0 | null | transformers | 37,604 | ---
language: en
thumbnail: http://www.huggingtweets.com/welcomeunknown/1653049956766/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; ... |
ruselkomp/deep-pavlov-framebank-5epochs-2 | f71f40cae7fd5342abf2dd0d672958512086f420 | 2022-05-20T15:09:32.000Z | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | ruselkomp | null | ruselkomp/deep-pavlov-framebank-5epochs-2 | 0 | null | transformers | 37,605 | ---
tags:
- generated_from_trainer
model-index:
- name: deep-pavlov-framebank-5epochs-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. -->
# deep-pavlov-framebank-5... |
gulteng/distilbert-base-uncased-finetuned-squad | 9c39b68b3fb0c0c0facc255228351589381dc653 | 2022-05-20T13:44:24.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | gulteng | null | gulteng/distilbert-base-uncased-finetuned-squad | 0 | null | transformers | 37,606 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: distilbert-base-uncased-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 remov... |
subhasisj/xlm-roberta-base-squad-32 | 20bfbe729c522bfe7b49b55a37ccfaac202e7cfd | 2022-05-20T19:13:21.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | question-answering | false | subhasisj | null | subhasisj/xlm-roberta-base-squad-32 | 0 | null | transformers | 37,607 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: xlm-roberta-base-squad-32
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. -->
... |
roshnir/bert-base-multi-mlqa-dev-en | bc45e4425c2f40955cb3b57ada939a0eeb3d63d3 | 2022-05-20T17:05:01.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | roshnir | null | roshnir/bert-base-multi-mlqa-dev-en | 0 | null | transformers | 37,608 | Entry not found |
noah-rush/inquirer-bert | 4de003c27367a2816c8c37a2a4112cb381e5cfd0 | 2022-05-20T20:42:07.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | noah-rush | null | noah-rush/inquirer-bert | 0 | null | transformers | 37,609 | Entry not found |
marksverdhei/t5-large-reddit-syac | df248290f824eebd6f12bcebf30e27fbe7e8f0a4 | 2022-05-20T22:15:39.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | marksverdhei | null | marksverdhei/t5-large-reddit-syac | 0 | null | transformers | 37,610 | Entry not found |
fransoa/arrombado-dms | 91e5bfa5c6b4ec61223ffbb0489c82d6c555c1d1 | 2022-05-20T22:09:48.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | fransoa | null | fransoa/arrombado-dms | 0 | null | transformers | 37,611 | ---
tags:
- conversational
---
# troska DialogGPT models
|
huggingtweets/slayersiu | 6f1e2384db8707ab18097a6a15afcb86eb1cb7b3 | 2022-05-25T14:29:09.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/slayersiu | 0 | null | transformers | 37,612 | ---
language: en
thumbnail: http://www.huggingtweets.com/slayersiu/1653488944264/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width... |
ruselkomp/deep-pavlov-framebank-hidesize | 271bc699e191b73ed577664c9b73d973a3677efe | 2022-05-21T02:48:28.000Z | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | ruselkomp | null | ruselkomp/deep-pavlov-framebank-hidesize | 0 | null | transformers | 37,613 | ---
tags:
- generated_from_trainer
model-index:
- name: deep-pavlov-framebank-hidesize
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. -->
# deep-pavlov-framebank-hi... |
huggingtweets/mrquinnzard | 3c7aab555774a317cd73c4770cfe70fdec47f354 | 2022-05-21T00:19:55.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/mrquinnzard | 0 | null | transformers | 37,614 | ---
language: en
thumbnail: http://www.huggingtweets.com/mrquinnzard/1653092375998/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; wid... |
huggingtweets/darcywubot | c1db72907beba6173dcf9e6a9e9768319cd8f611 | 2022-05-21T00:27:43.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/darcywubot | 0 | null | transformers | 37,615 | ---
language: en
thumbnail: http://www.huggingtweets.com/darcywubot/1653092857463/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; widt... |
huggingtweets/annebottz | b94835ef741550c4a834c642f21df28063280daf | 2022-05-21T00:49:07.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/annebottz | 0 | null | transformers | 37,616 | ---
language: en
thumbnail: http://www.huggingtweets.com/annebottz/1653094143094/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width... |
ruselkomp/deep-pavlov-framebank-hidesize-1 | ddce9bd61f8d1ae159efdb584fa99344348e70b6 | 2022-05-21T12:19:16.000Z | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | ruselkomp | null | ruselkomp/deep-pavlov-framebank-hidesize-1 | 0 | null | transformers | 37,617 | ---
tags:
- generated_from_trainer
model-index:
- name: deep-pavlov-framebank-hidesize-1
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. -->
# deep-pavlov-framebank-... |
subhasisj/vi-adapter-32 | 0662d668d2aa7f5ae1d73e2813f30684a3f436de | 2022-05-21T22:30:44.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"question-answering",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | subhasisj | null | subhasisj/vi-adapter-32 | 0 | null | transformers | 37,618 | ---
tags:
- generated_from_trainer
model-index:
- name: vi-adapter-32
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. -->
# vi-adapter-32
This model was trained fro... |
ruselkomp/sber-framebank-hidesize | 83fd2c4d9345197f6c7a64d6e340ee6465ee47d6 | 2022-05-21T19:49:37.000Z | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | ruselkomp | null | ruselkomp/sber-framebank-hidesize | 0 | null | transformers | 37,619 | Entry not found |
HighCWu/anime-biggan-pytorch | 9f8640938b6611f0af75520c95ff49506f66e765 | 2022-05-21T15:36:10.000Z | [
"pytorch"
] | null | false | HighCWu | null | HighCWu/anime-biggan-pytorch | 0 | null | null | 37,620 | Entry not found |
renjithks/distilbert-cord-ner | dc44e6ed7f2473ee3cc7205fbf6acb67325fb7d3 | 2022-05-22T11:12:52.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | renjithks | null | renjithks/distilbert-cord-ner | 0 | null | transformers | 37,621 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-cord-ner
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, th... |
subhasisj/ar-adapter-32 | c4a28e4e2a54fd2f1223f9a2c451baf07ad3c520 | 2022-05-21T20:22:40.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"question-answering",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | subhasisj | null | subhasisj/ar-adapter-32 | 0 | null | transformers | 37,622 | ---
tags:
- generated_from_trainer
model-index:
- name: ar-adapter-32
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. -->
# ar-adapter-32
This model was trained fro... |
stevemobs/distilbert-base-uncased-finetuned-squad | 3c5d0b04d6d1052f2f07d3926eba6f2068add794 | 2022-05-21T21:52:36.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"dataset:squad_v2",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | stevemobs | null | stevemobs/distilbert-base-uncased-finetuned-squad | 0 | null | transformers | 37,623 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: distilbert-base-uncased-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 re... |
ruselkomp/sber-framebank-hidesize-1 | 1bf22f09f2bb88f1c4288816e2ba1879c3b872d9 | 2022-05-22T01:57:09.000Z | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | ruselkomp | null | ruselkomp/sber-framebank-hidesize-1 | 0 | null | transformers | 37,624 | ---
tags:
- generated_from_trainer
model-index:
- name: sber-framebank-hidesize-1
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. -->
# sber-framebank-hidesize-1
Th... |
prodm93/T5Dynamic_text_model_v2 | 54290f0d83594f770dc0b298e18968f9e71c3d8b | 2022-05-21T22:23:59.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | prodm93 | null | prodm93/T5Dynamic_text_model_v2 | 0 | null | transformers | 37,625 | Entry not found |
neibla/convnext-tiny-224-finetuned-eurosat | 33eca54e09e648dffcf44cc89eb9b0057d97b8b5 | 2022-05-22T04:10:27.000Z | [
"pytorch",
"tensorboard",
"regnet",
"image-classification",
"transformers"
] | image-classification | false | neibla | null | neibla/convnext-tiny-224-finetuned-eurosat | 0 | null | transformers | 37,626 | Entry not found |
sandrokim/two_tower_sentence_snoobert | dea46e48bf82d72e587995913c1b1ac2b7aa8cf2 | 2022-05-22T00:02:17.000Z | [
"pytorch",
"bert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | sandrokim | null | sandrokim/two_tower_sentence_snoobert | 0 | null | sentence-transformers | 37,627 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sandrokim/two_tower_sentence_snoobert
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be us... |
prodm93/t5-rn-abstract-model-v1 | d588f01c9c1dade0117a1ae1e545fe3de5fff8e0 | 2022-05-22T01:15:18.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | prodm93 | null | prodm93/t5-rn-abstract-model-v1 | 0 | null | transformers | 37,628 | Entry not found |
prodm93/gpt2-sum-abstract-model-v1 | 2e407224b90f76478a5c4258e68bd521c6a699c0 | 2022-05-22T01:26:57.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | prodm93 | null | prodm93/gpt2-sum-abstract-model-v1 | 0 | null | transformers | 37,629 | Entry not found |
prodm93/t5-sum-abstract-model-v1 | 7702a55695a2bfcf21f6470cea48f803bb07c8e6 | 2022-05-22T01:35:40.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | prodm93 | null | prodm93/t5-sum-abstract-model-v1 | 0 | null | transformers | 37,630 | Entry not found |
huggingtweets/flimosch | 67b15dfc340db7659abbdc6ee7e93a0fe4dca131 | 2022-05-22T05:32:03.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/flimosch | 0 | null | transformers | 37,631 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
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: 4... |
sabah17/distilbert-base-uncased-finetuned-squad | 0708777ae441ffafa5a07f658f05e7e7d1041fcb | 2022-05-29T05:37:34.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | sabah17 | null | sabah17/distilbert-base-uncased-finetuned-squad | 0 | null | transformers | 37,632 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: distilbert-base-uncased-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 remov... |
pglauner/xlm-roberta-base-finetuned-panx-de | 7f77b368455ad3e566f561accccd15e2e4d2569e | 2022-05-22T08:35:58.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"dataset:xtreme",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | pglauner | null | pglauner/xlm-roberta-base-finetuned-panx-de | 0 | null | transformers | 37,633 | ---
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:... |
subhasisj/de-adapter-32 | 954361d68dbac518b6591b305e365a9f687905a1 | 2022-05-22T11:00:43.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"question-answering",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | subhasisj | null | subhasisj/de-adapter-32 | 0 | null | transformers | 37,634 | ---
tags:
- generated_from_trainer
model-index:
- name: de-adapter-32
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. -->
# de-adapter-32
This model was trained fro... |
moghis/xlm-roberta-base-finetuned-panx-fr-de | fe80466c9549c97298c8afda097ab20e8379dea1 | 2022-05-22T09:56:59.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | moghis | null | moghis/xlm-roberta-base-finetuned-panx-fr-de | 0 | null | transformers | 37,635 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-base-finetuned-panx-fr-de
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. -->
# xlm-... |
ruselkomp/sber-framebank-hidesize-2 | aac0451c57f69fe279e5b3e40ff331bd16ce98d0 | 2022-05-23T01:04:10.000Z | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | ruselkomp | null | ruselkomp/sber-framebank-hidesize-2 | 0 | null | transformers | 37,636 | ---
tags:
- generated_from_trainer
model-index:
- name: sber-framebank-hidesize-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. -->
# sber-framebank-hidesize-2
Th... |
subhasisj/es-adapter-32 | ffe543a6da4c9c0e59ce45c839a0da91fc7e03e5 | 2022-05-22T13:44:29.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"question-answering",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | subhasisj | null | subhasisj/es-adapter-32 | 0 | null | transformers | 37,637 | ---
tags:
- generated_from_trainer
model-index:
- name: es-adapter-32
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. -->
# es-adapter-32
This model was trained fro... |
kirillka/rut5-small-finetuned-gen-description-2 | 38aa631890bfe8a440e40622a27e4c8a174787b3 | 2022-05-22T12:14:52.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | kirillka | null | kirillka/rut5-small-finetuned-gen-description-2 | 0 | null | transformers | 37,638 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: rut5-small-finetuned-gen-description-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. -->
# rut... |
stevemobs/distilbert-base-uncased-combined-squad-adversarial | e6ca1e7c35d1385732c30a06a82cd4cfd14d0a43 | 2022-05-22T15:35:53.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | stevemobs | null | stevemobs/distilbert-base-uncased-combined-squad-adversarial | 0 | null | transformers | 37,639 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-combined-squad-adversarial
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 ... |
masoumehb/wav2vec2-large-xlsr-turkish-demo-colab | 3a4c8e2e2633ec5bb560152987920cbbab5cdfef | 2022-05-24T12:20:20.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | masoumehb | null | masoumehb/wav2vec2-large-xlsr-turkish-demo-colab | 0 | null | transformers | 37,640 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xlsr-turkish-demo-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... |
subhasisj/zh-adapter-32 | f0e44fc14efa83da68333f3f6482493633a8a208 | 2022-05-22T19:42:24.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"question-answering",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | subhasisj | null | subhasisj/zh-adapter-32 | 0 | null | transformers | 37,641 | ---
tags:
- generated_from_trainer
model-index:
- name: zh-adapter-32
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. -->
# zh-adapter-32
This model was trained fro... |
jppaolim/v35_Baseline | dfb56f796dfa4b260a5dbe2581abefefcf5bcf52 | 2022-05-22T20:20:32.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | jppaolim | null | jppaolim/v35_Baseline | 0 | null | transformers | 37,642 | # Dummy model
Arthur goes to the beach. Arthur wanted to go to the beach. He thought it would be fun. He went and got a big towel. He set out to get on the water. He was so excited he fell in love with the ocean.
Arthur goes to the beach. Arthur and his family went to the beach on Saturday. They all wanted to go swim... |
prodm93/rn_gpt2_customdata_model | e7f3505241ce173de033b1b2bedf65734862ff04 | 2022-05-22T20:47:22.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | prodm93 | null | prodm93/rn_gpt2_customdata_model | 0 | null | transformers | 37,643 | Entry not found |
jacklin/DeLADE-CLS | 89839d2419f546d673ff39ba06ebf3a229ce0266 | 2022-05-22T21:27:36.000Z | [
"pytorch",
"arxiv:2112.04666"
] | null | false | jacklin | null | jacklin/DeLADE-CLS | 0 | null | null | 37,644 | This model, DeLADE+[CLS], is trained by fusing neural lexical and semantic components in single transformer using DistilBERT as a backbone.
*[A Dense Representation Framework for Lexical and Semantic Matching](https://arxiv.org/pdf/2112.04666.pdf)* Sheng-Chieh Lin and Jimmy Lin.
You can find the usage of the model i... |
jacklin/DeLADE | 93f79f0f14023fc2d37a5d64baa8210b829d1c18 | 2022-05-22T21:27:15.000Z | [
"pytorch",
"arxiv:2112.04666"
] | null | false | jacklin | null | jacklin/DeLADE | 0 | null | null | 37,645 | This model, DeLADE, is trained by fusing neural lexical and semantic components in single transformer using DistilBERT as a backbone.
*[A Dense Representation Framework for Lexical and Semantic Matching](https://arxiv.org/pdf/2112.04666.pdf)* Sheng-Chieh Lin and Jimmy Lin.
You can find the usage of the model in our ... |
stevemobs/deberta-base-combined-squad1-aqa | 7a0d74b4554c7af74164c0725ae942e42fae55b0 | 2022-05-23T02:32:12.000Z | [
"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 | 0 | null | transformers | 37,646 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: deberta-base-combined-squad1-aqa
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-b... |
globuslabs/ScholarBERT_10 | b94cfe6ae48a5e7391d076e1321e18585158c5fc | 2022-05-24T03:15:41.000Z | [
"pytorch",
"bert",
"fill-mask",
"en",
"arxiv:2205.11342",
"transformers",
"science",
"multi-displinary",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | globuslabs | null | globuslabs/ScholarBERT_10 | 0 | null | transformers | 37,647 | ---
language: en
tags:
- science
- multi-displinary
license: apache-2.0
---
# ScholarBERT_10 Model
This is the **ScholarBERT_10** variant of the ScholarBERT model family.
The model is pretrained on a large collection of scientific research articles (**22.1B tokens**).
This is a **cased** (case-sensitive) model. The... |
zuu/asr-wav2vec2 | 1e8cf7828cfb4f3af02e90d43623f235388b94a4 | 2022-05-23T05:03:02.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | zuu | null | zuu/asr-wav2vec2 | 0 | null | transformers | 37,648 | Entry not found |
mehari/fnrbt | 7e91e4067efa05b3b37316501e38eaa04e634e7d | 2022-05-24T08:06:01.000Z | [
"pytorch",
"roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | mehari | null | mehari/fnrbt | 0 | null | transformers | 37,649 | Entry not found |
t8oo/DialoGPT-small-zeni | 1a79bbcc94770665eb0a431cb0c1724cec9a32c9 | 2022-05-23T06:55:16.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | t8oo | null | t8oo/DialoGPT-small-zeni | 0 | null | transformers | 37,650 | ---
tags :
- conversational
---
# Zeni DialoGPT Model |
spasis/bert-finetuned-squad-accelerate | 82bfcb2ae14a6167194e7d77f9774344979b8e61 | 2022-05-23T11:06:21.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | spasis | null | spasis/bert-finetuned-squad-accelerate | 0 | null | transformers | 37,651 | Entry not found |
stplgg/xlm-roberta-base-finetuned-panx-de | e9ed9a23b4dc65997ec5b8f74581566427eed009 | 2022-05-23T09:43:15.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"dataset:xtreme",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | stplgg | null | stplgg/xlm-roberta-base-finetuned-panx-de | 0 | null | transformers | 37,652 | ---
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:... |
theojolliffe/bart-cnn-pubmed-arxiv-pubmed-v3-e100 | 2099132aca15e848200431e0d821d86beacb399e | 2022-05-24T00:25:24.000Z | [
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | theojolliffe | null | theojolliffe/bart-cnn-pubmed-arxiv-pubmed-v3-e100 | 0 | null | transformers | 37,653 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-cnn-pubmed-arxiv-pubmed-v3-e100
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 comm... |
mkkc58/bert-finetuned-squad | 2e0e83f84ad9f7dbb6e9dc4809fff87640b55e04 | 2022-05-24T08:54:29.000Z | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | mkkc58 | null | mkkc58/bert-finetuned-squad | 0 | null | transformers | 37,654 | ---
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. -->... |
salma-elshafey/mbert2mbert-finetuned-ar-to-en | 54f5d05b5ff6e2b8d2ac3f8051aac6f6f5f1bd29 | 2022-05-23T21:25:44.000Z | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | salma-elshafey | null | salma-elshafey/mbert2mbert-finetuned-ar-to-en | 0 | null | transformers | 37,655 | Entry not found |
CEBaB/lstm.CEBaB.causalm.food__service.5-class.exclusive.seed_42 | 418ba18d44445faf3c064c0d6f182110d82f3000 | 2022-05-24T10:08:54.000Z | [
"pytorch",
"lstm_causalm",
"transformers"
] | null | false | CEBaB | null | CEBaB/lstm.CEBaB.causalm.food__service.5-class.exclusive.seed_42 | 0 | null | transformers | 37,656 | Entry not found |
huggingtweets/elonmusk-fchollet-steak_umm | a8fadabe75bc2ab1319fb0685f3140050fb75176 | 2022-05-24T00:03:41.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/elonmusk-fchollet-steak_umm | 0 | null | transformers | 37,657 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
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: 4... |
luisu0124/Prueba_tf5 | 066407a72e148a13443f02babede63750fd0d0fd | 2022-05-24T05:11:02.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | luisu0124 | null | luisu0124/Prueba_tf5 | 0 | null | transformers | 37,658 | Model preentrenado |
nandezgarcia/roberta-base-bne-finetuned-recores-short | 837ef9f911a9f40b7793d4f75d10288399b439bb | 2022-05-24T06:21:47.000Z | [
"pytorch",
"tensorboard",
"roberta",
"multiple-choice",
"transformers"
] | multiple-choice | false | nandezgarcia | null | nandezgarcia/roberta-base-bne-finetuned-recores-short | 0 | null | transformers | 37,659 | Entry not found |
nandezgarcia/roberta-base-bne-finetuned-recores-long | 5744e236dd10135c44bcc34779ec283afb8c4350 | 2022-05-24T08:04:35.000Z | [
"pytorch",
"tensorboard",
"roberta",
"multiple-choice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | multiple-choice | false | nandezgarcia | null | nandezgarcia/roberta-base-bne-finetuned-recores-long | 0 | null | transformers | 37,660 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base-bne-finetuned-recores-long
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 rem... |
nandezgarcia/roberta-base-bne-sqac-finetuned-recores-long | d96b3147a4f042b4c562319f4463a0aa12e2de05 | 2022-05-24T06:51:27.000Z | [
"pytorch",
"tensorboard",
"roberta",
"multiple-choice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | multiple-choice | false | nandezgarcia | null | nandezgarcia/roberta-base-bne-sqac-finetuned-recores-long | 0 | null | transformers | 37,661 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base-bne-sqac-finetuned-recores-long
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, the... |
theojolliffe/bart-cnn-pubmed-arxiv-pubmed-v3-e60 | e0497d2c8f1d4010af898e87d49c4a15409219f4 | 2022-05-24T17:41:07.000Z | [
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | theojolliffe | null | theojolliffe/bart-cnn-pubmed-arxiv-pubmed-v3-e60 | 0 | null | transformers | 37,662 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-cnn-pubmed-arxiv-pubmed-v3-e60
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... |
nandezgarcia/roberta-base-bne-finetuned-recores-complete | 18727530a2190a54c0f4931848fce88a70323d6a | 2022-05-24T08:41:00.000Z | [
"pytorch",
"tensorboard",
"roberta",
"multiple-choice",
"transformers"
] | multiple-choice | false | nandezgarcia | null | nandezgarcia/roberta-base-bne-finetuned-recores-complete | 0 | null | transformers | 37,663 | Entry not found |
mayur0703/hindiqa | cbc54667c33be02e1f7bd6cd01d2d84ec533222b | 2022-05-24T09:49:25.000Z | [
"pytorch",
"xlm-roberta",
"question-answering",
"transformers",
"license:afl-3.0",
"autotrain_compatible"
] | question-answering | false | mayur0703 | null | mayur0703/hindiqa | 0 | null | transformers | 37,664 | ---
license: afl-3.0
---
|
trev/Twilight-Sparkle | d6cce001b3d292f945e74d749fbd05bd33982b92 | 2022-05-24T13:39:06.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | trev | null | trev/Twilight-Sparkle | 0 | null | transformers | 37,665 | ---
tags:
- conversational
---
# Twilight Sparkle DialoGPT Model |
huggingtweets/respctclub-utsavsingla | 830ad1d517b2d70341232bb43e4605e455589df0 | 2022-05-24T14:54:46.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/respctclub-utsavsingla | 0 | null | transformers | 37,666 | ---
language: en
thumbnail: http://www.huggingtweets.com/respctclub-utsavsingla/1653404081829/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-righ... |
stevemobs/deberta-base-finetuned-aqa-squad1 | bfe32be12f5c25cfe579d198f73983d120fb18f5 | 2022-05-24T19:56:41.000Z | [
"pytorch",
"tensorboard",
"deberta",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | question-answering | false | stevemobs | null | stevemobs/deberta-base-finetuned-aqa-squad1 | 0 | null | transformers | 37,667 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: deberta-base-finetuned-aqa-squad1
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 commen... |
theojolliffe/bart-cnn-pubmed-arxiv-pubmed-v3-e43 | e50e8826767b38038e41f25c3be139e0d71e393c | 2022-05-24T23:30:12.000Z | [
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | theojolliffe | null | theojolliffe/bart-cnn-pubmed-arxiv-pubmed-v3-e43 | 0 | null | transformers | 37,668 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-cnn-pubmed-arxiv-pubmed-v3-e43
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... |
ronanki/ml_mpnet_768_MNR_15 | 8bd5ae7f3cfd1365f8534ae990e9ebd0efdcd70c | 2022-05-24T18:03:57.000Z | [
"pytorch",
"xlm-roberta",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | ronanki | null | ronanki/ml_mpnet_768_MNR_15 | 0 | null | sentence-transformers | 37,669 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# ronanki/ml_mpnet_768_MNR_15
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 tas... |
huggingtweets/bladeecity-jerma985 | 9bf3a0db7f6bc960c51f2c0dc6fb66ed982b0180 | 2022-05-24T18:59:10.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/bladeecity-jerma985 | 0 | null | transformers | 37,670 | ---
language: en
thumbnail: http://www.huggingtweets.com/bladeecity-jerma985/1653418745528/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: ... |
ulises801/DialoGPT-medium-rick | 0a2c4b5b887e9957f74c767e9631c411d40ad580 | 2022-05-25T00:21:51.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ulises801 | null | ulises801/DialoGPT-medium-rick | 0 | null | transformers | 37,671 | ---
tags:
- conversational
---
# Rick DialogGPT Model |
syssec-utd/dis2py-37-with-cf | 7d01efd2d5ccef9512afc2695642ba22c549727f | 2022-05-31T14:40:52.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | syssec-utd | null | syssec-utd/dis2py-37-with-cf | 0 | null | transformers | 37,672 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: dis2py-37-with-cf
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. -->
# dis2py-37-with-cf... |
morahil/wav2vec2-hindi-new-3 | dc9d6fda2f537f57cef2a7a46ad3f85ec3a2ff33 | 2022-05-25T11:00:05.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | morahil | null | morahil/wav2vec2-hindi-new-3 | 0 | null | transformers | 37,673 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-hindi-new-3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-hindi... |
theojolliffe/bart-cnn-pubmed-arxiv-pubmed-arxiv-arxiv-v3-e16 | 2113c7a627a6f842a6e97f23ee5d758e2aca6add | 2022-05-25T10:47:47.000Z | [
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | theojolliffe | null | theojolliffe/bart-cnn-pubmed-arxiv-pubmed-arxiv-arxiv-v3-e16 | 0 | null | transformers | 37,674 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-cnn-pubmed-arxiv-pubmed-arxiv-arxiv-v3-e16
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... |
pritam18/swadeshi_bhojpuriwav2vec2asr | c7dc0df5854d5e054db9df9d9fb3e6bbb012bcd3 | 2022-05-25T18:35:33.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | pritam18 | null | pritam18/swadeshi_bhojpuriwav2vec2asr | 0 | null | transformers | 37,675 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: swadeshi_bhojpuriwav2vec2asr
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. -->
# swades... |
neuralmagic/oBERT-teacher-squadv1 | 733308386b17fb771a5495823b8f9b05a6404ac1 | 2022-06-20T11:36:53.000Z | [
"pytorch",
"en",
"dataset:squad",
"arxiv:2203.07259",
"bert",
"oBERT",
"sparsity",
"pruning",
"compression"
] | null | false | neuralmagic | null | neuralmagic/oBERT-teacher-squadv1 | 0 | null | null | 37,676 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: squad
---
# SQuADv1 teacher
This model is used as a teacher for all runs on the SQuADv1 downstream task in the paper [The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models](https://arxiv.org/abs/... |
neuralmagic/oBERT-12-downstream-pruned-unstructured-90-squadv1 | 11cd9a179a8293ebaf3f487797bf18ec67db0ae2 | 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-90-squadv1 | 0 | null | null | 37,677 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: squad
---
# oBERT-12-downstream-pruned-unstructured-90-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-downstream-pruned-unstructured-97-squadv1 | a243c9389bfb610522875045872f7fa6d6a498b0 | 2022-06-20T11:36:50.000Z | [
"pytorch",
"en",
"dataset:squad",
"arxiv:2203.07259",
"bert",
"oBERT",
"sparsity",
"pruning",
"compression"
] | null | false | neuralmagic | null | neuralmagic/oBERT-12-downstream-pruned-unstructured-97-squadv1 | 0 | null | null | 37,678 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: squad
---
# oBERT-12-downstream-pruned-unstructured-97-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-teacher-mnli | 20f8a17d62e84cb0ef2cd979bd673500072ac9f0 | 2022-06-20T11:36:52.000Z | [
"pytorch",
"en",
"dataset:mnli",
"arxiv:2203.07259",
"bert",
"oBERT",
"sparsity",
"pruning",
"compression"
] | null | false | neuralmagic | null | neuralmagic/oBERT-teacher-mnli | 0 | null | null | 37,679 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: mnli
---
# MNLI teacher
This model is used as a teacher for all runs on the MNLI downstream task in the paper [The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models](https://arxiv.org/abs/2203.07... |
neuralmagic/oBERT-12-downstream-pruned-unstructured-80-mnli | 828739304f5bb17eee83f39e4940eca6a70d093d | 2022-06-20T11:36:49.000Z | [
"pytorch",
"en",
"dataset:mnli",
"arxiv:2203.07259",
"bert",
"oBERT",
"sparsity",
"pruning",
"compression"
] | null | false | neuralmagic | null | neuralmagic/oBERT-12-downstream-pruned-unstructured-80-mnli | 0 | null | null | 37,680 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: mnli
---
# oBERT-12-downstream-pruned-unstructured-80-mnli
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 ... |
neuralmagic/oBERT-12-downstream-pruned-unstructured-90-mnli | 7b039ca83c3209f18d902f4b516e99ebae6ee7f2 | 2022-06-20T11:36:49.000Z | [
"pytorch",
"en",
"dataset:mnli",
"arxiv:2203.07259",
"bert",
"oBERT",
"sparsity",
"pruning",
"compression"
] | null | false | neuralmagic | null | neuralmagic/oBERT-12-downstream-pruned-unstructured-90-mnli | 0 | null | null | 37,681 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: mnli
---
# oBERT-12-downstream-pruned-unstructured-90-mnli
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 ... |
neuralmagic/oBERT-12-downstream-pruned-unstructured-97-mnli | 6f0c3a4713f4898e69a821c43750695766d37bfc | 2022-06-20T11:36:49.000Z | [
"pytorch",
"en",
"dataset:mnli",
"arxiv:2203.07259",
"bert",
"oBERT",
"sparsity",
"pruning",
"compression"
] | null | false | neuralmagic | null | neuralmagic/oBERT-12-downstream-pruned-unstructured-97-mnli | 0 | null | null | 37,682 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: mnli
---
# oBERT-12-downstream-pruned-unstructured-97-mnli
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 ... |
neuralmagic/oBERT-teacher-qqp | 9115006d21a4e7d36647f5982cdf012b4ff41f94 | 2022-06-20T11:36:53.000Z | [
"pytorch",
"en",
"dataset:qqp",
"arxiv:2203.07259",
"bert",
"oBERT",
"sparsity",
"pruning",
"compression"
] | null | false | neuralmagic | null | neuralmagic/oBERT-teacher-qqp | 0 | null | null | 37,683 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: qqp
---
# QQP teacher
This model is used as a teacher for all runs on the QQP downstream task in the paper [The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models](https://arxiv.org/abs/2203.07259... |
neuralmagic/oBERT-12-downstream-pruned-unstructured-80-qqp | 5606d41cad5a7a4b6b1c0a19b57e2ed03556bcca | 2022-06-20T11:36:49.000Z | [
"pytorch",
"en",
"dataset:qqp",
"arxiv:2203.07259",
"bert",
"oBERT",
"sparsity",
"pruning",
"compression"
] | null | false | neuralmagic | null | neuralmagic/oBERT-12-downstream-pruned-unstructured-80-qqp | 0 | null | null | 37,684 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: qqp
---
# oBERT-12-downstream-pruned-unstructured-80-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 corresponds to... |
neuralmagic/oBERT-12-downstream-pruned-unstructured-90-qqp | 9233f2b32f0ddee0ed908dd842ac31b0bd3918bd | 2022-06-20T11:36:49.000Z | [
"pytorch",
"en",
"dataset:qqp",
"arxiv:2203.07259",
"bert",
"oBERT",
"sparsity",
"pruning",
"compression"
] | null | false | neuralmagic | null | neuralmagic/oBERT-12-downstream-pruned-unstructured-90-qqp | 0 | null | null | 37,685 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: qqp
---
# oBERT-12-downstream-pruned-unstructured-90-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 corresponds to... |
neuralmagic/oBERT-12-downstream-pruned-unstructured-97-qqp | 08fce0ae0a627b4750d468182eb52f61061f73ae | 2022-06-20T11:36:50.000Z | [
"pytorch",
"en",
"dataset:qqp",
"arxiv:2203.07259",
"bert",
"oBERT",
"sparsity",
"pruning",
"compression"
] | null | false | neuralmagic | null | neuralmagic/oBERT-12-downstream-pruned-unstructured-97-qqp | 0 | null | null | 37,686 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: qqp
---
# oBERT-12-downstream-pruned-unstructured-97-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 corresponds to... |
neuralmagic/oBERT-12-upstream-pruned-unstructured-90 | 11f5620ab4851ec5a96160d020a9cec92d668f6a | 2022-06-20T11:36:50.000Z | [
"pytorch",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:2203.07259",
"bert",
"oBERT",
"sparsity",
"pruning",
"compression"
] | null | false | neuralmagic | null | neuralmagic/oBERT-12-upstream-pruned-unstructured-90 | 0 | null | null | 37,687 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets:
- bookcorpus
- wikipedia
---
# oBERT-12-upstream-pruned-unstructured-90
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... |
neuralmagic/oBERT-12-upstream-pruned-unstructured-97 | 2a18dfa3901d129d1ea412a9b020ba2082404ecd | 2022-06-20T11:36:51.000Z | [
"pytorch",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:2203.07259",
"bert",
"oBERT",
"sparsity",
"pruning",
"compression"
] | null | false | neuralmagic | null | neuralmagic/oBERT-12-upstream-pruned-unstructured-97 | 0 | null | null | 37,688 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets:
- bookcorpus
- wikipedia
---
# oBERT-12-upstream-pruned-unstructured-97
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... |
neuralmagic/oBERT-12-upstream-pruned-unstructured-90-finetuned-squadv1 | 135307894d942bb1258a35987450b76c3320e967 | 2022-06-20T11:36:50.000Z | [
"pytorch",
"en",
"dataset:squad",
"arxiv:2203.07259",
"bert",
"oBERT",
"sparsity",
"pruning",
"compression"
] | null | false | neuralmagic | null | neuralmagic/oBERT-12-upstream-pruned-unstructured-90-finetuned-squadv1 | 0 | null | null | 37,689 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: squad
---
# oBERT-12-upstream-pruned-unstructured-90-finetuned-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 ... |
neuralmagic/oBERT-12-upstream-pruned-unstructured-97-finetuned-squadv1 | 4fb62121f1ab5ea13156523ccc39b952488121b7 | 2022-06-20T11:36:51.000Z | [
"pytorch",
"en",
"dataset:squad",
"arxiv:2203.07259",
"bert",
"oBERT",
"sparsity",
"pruning",
"compression"
] | null | false | neuralmagic | null | neuralmagic/oBERT-12-upstream-pruned-unstructured-97-finetuned-squadv1 | 0 | null | null | 37,690 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: squad
---
# oBERT-12-upstream-pruned-unstructured-97-finetuned-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 ... |
neuralmagic/oBERT-12-upstream-pruned-unstructured-90-finetuned-mnli | 3acc9173de167432e2cefc3e2c8e35f9bda25517 | 2022-06-20T11:36:50.000Z | [
"pytorch",
"en",
"dataset:mnli",
"arxiv:2203.07259",
"bert",
"oBERT",
"sparsity",
"pruning",
"compression"
] | null | false | neuralmagic | null | neuralmagic/oBERT-12-upstream-pruned-unstructured-90-finetuned-mnli | 0 | null | null | 37,691 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: mnli
---
# oBERT-12-upstream-pruned-unstructured-90-finetuned-mnli
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 corr... |
neuralmagic/oBERT-12-upstream-pruned-unstructured-97-finetuned-mnli | 465a50e80f12db9417a5f4272ed7f816643aec1d | 2022-06-20T11:36:51.000Z | [
"pytorch",
"en",
"dataset:mnli",
"arxiv:2203.07259",
"bert",
"oBERT",
"sparsity",
"pruning",
"compression"
] | null | false | neuralmagic | null | neuralmagic/oBERT-12-upstream-pruned-unstructured-97-finetuned-mnli | 0 | null | null | 37,692 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: mnli
---
# oBERT-12-upstream-pruned-unstructured-97-finetuned-mnli
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 corr... |
neuralmagic/oBERT-12-upstream-pruned-unstructured-90-finetuned-qqp | fbb0202da0e4e1013b53f5240b5aa5e9c91e1741 | 2022-06-20T11:36:50.000Z | [
"pytorch",
"en",
"dataset:qqp",
"arxiv:2203.07259",
"bert",
"oBERT",
"sparsity",
"pruning",
"compression"
] | null | false | neuralmagic | null | neuralmagic/oBERT-12-upstream-pruned-unstructured-90-finetuned-qqp | 0 | null | null | 37,693 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: qqp
---
# oBERT-12-upstream-pruned-unstructured-90-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-12-downstream-dense-squadv1 | 5466d30fe1d851554150afad56361fea2aaec9b8 | 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-dense-squadv1 | 0 | null | null | 37,694 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: squad
---
# oBERT-12-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 p... |
neuralmagic/oBERT-12-downstream-pruned-block4-80-squadv1 | df9814e85c540b684ae352a4288cf99086dbb98e | 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-block4-80-squadv1 | 0 | null | null | 37,695 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: squad
---
# oBERT-12-downstream-pruned-block4-80-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 corresponds to... |
vai6hav/wav2vec2-large-xls-r-300m-hindi-colab | 0b63ae132d54af2d17ff3a516014acfb2f724c6a | 2022-05-25T15:01:42.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | vai6hav | null | vai6hav/wav2vec2-large-xls-r-300m-hindi-colab | 0 | null | transformers | 37,696 | ---
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 ... |
neuralmagic/oBERT-12-downstream-pruned-block4-90-squadv1 | c85ba0e67a6a32e7875966b7740533682a6f8c68 | 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-block4-90-squadv1 | 0 | null | null | 37,697 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: squad
---
# oBERT-12-downstream-pruned-block4-90-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... |
neuralmagic/oBERT-6-downstream-pruned-unstructured-80-squadv1 | af40ce51efec32a63a3a4b8b22d2a5769d11cd35 | 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-pruned-unstructured-80-squadv1 | 0 | null | null | 37,698 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: squad
---
# oBERT-6-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 correspon... |
neuralmagic/oBERT-6-downstream-pruned-unstructured-90-squadv1 | 6c736d82d3a35ef34f050e155959b6e8ca9ec4b4 | 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-pruned-unstructured-90-squadv1 | 0 | null | null | 37,699 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: squad
---
# oBERT-6-downstream-pruned-unstructured-90-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 correspon... |
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