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huggingtweets/curlyjunglejake | fe0d1fde24aebb902b0ccf3f2965a982396a25f0 | 2021-05-21T23:51:27.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/curlyjunglejake | 9 | null | transformers | 12,300 | ---
language: en
thumbnail: https://www.huggingtweets.com/curlyjunglejake/1611588649017/predictions.png
tags:
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widget:
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---
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huggingtweets/danielgedda | 1a36f0104c5c4ee508fc18af5fa6d84997a943a1 | 2021-05-22T00:34:52.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/danielgedda | 9 | null | transformers | 12,301 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo_share.png?raw=true
tags:
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widget:
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---
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huggingtweets/disabledjess | 014fe0402ef420e26aac8b481ddf121ccaeb965a | 2021-05-22T01:44:27.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/disabledjess | 9 | null | transformers | 12,302 | ---
language: en
thumbnail: https://www.huggingtweets.com/disabledjess/1616670355194/predictions.png
tags:
- huggingtweets
widget:
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---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/133677906102... |
huggingtweets/doctor_emmet | ad2d266c99f15d828c9261a27d27af7548091eb3 | 2021-05-22T01:53:07.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/doctor_emmet | 9 | null | transformers | 12,303 | ---
language: en
thumbnail: https://www.huggingtweets.com/doctor_emmet/1603833315216/predictions.png
tags:
- huggingtweets
widget:
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---
<link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css">
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@media (prefers-color-scheme: dark) {
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huggingtweets/eiritana | b10e27a71574403423f8445c536e56ccd8ee3382 | 2021-05-22T02:49:05.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/eiritana | 9 | null | transformers | 12,304 | ---
language: en
thumbnail: https://www.huggingtweets.com/eiritana/1617882396659/predictions.png
tags:
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widget:
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---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1178700495487164... |
huggingtweets/etcanada | 8568994512a753a86850a6be78ab7e98aa51d72d | 2021-05-22T03:32:55.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/etcanada | 9 | null | transformers | 12,305 | ---
language: en
thumbnail: https://www.huggingtweets.com/etcanada/1613324841076/predictions.png
tags:
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widget:
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---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1159160036125564... |
huggingtweets/femboympreg | d5023508851141bf4834dc75a7ecb5eef2872590 | 2021-05-22T04:05:37.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/femboympreg | 9 | null | transformers | 12,306 | ---
language: en
thumbnail: https://www.huggingtweets.com/femboympreg/1617809081812/predictions.png
tags:
- huggingtweets
widget:
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---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1370404573374... |
huggingtweets/gatchabot | 3f7bc6397bf85915836024a9730d668de77ac129 | 2021-05-22T05:04:29.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/gatchabot | 9 | null | transformers | 12,307 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
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---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1234322... |
huggingtweets/girlchrismarker | b85789619b1a7daae89905fbf46b9dc7bc109f65 | 2021-05-22T05:30:22.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/girlchrismarker | 9 | null | transformers | 12,308 | ---
language: en
thumbnail: https://www.huggingtweets.com/girlchrismarker/1614168569443/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/130792177... |
huggingtweets/granblue_en | 78ffb654ed40783dd3aa871df9f2516667d4d3be | 2021-05-22T06:05:45.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/granblue_en | 9 | null | transformers | 12,309 | ---
language: en
thumbnail: http://www.huggingtweets.com/granblue_en/1600399682930/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css">
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huggingtweets/hannesbajohr | 8404983d47b97030aaa94da97fdb91ec2c3731e3 | 2021-05-22T06:34:54.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/hannesbajohr | 9 | null | transformers | 12,310 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
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widget:
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---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/4671727... |
huggingtweets/hardmaru | f86a5444f953121df346551bab75e5fbb82ccc3c | 2021-05-22T06:37:39.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/hardmaru | 9 | null | transformers | 12,311 | ---
language: en
thumbnail: https://www.huggingtweets.com/hardmaru/1620671462182/predictions.png
tags:
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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... |
huggingtweets/itemlabel | d0aaf08b0703b2f714f7a281621ff446c38b193c | 2021-05-22T08:37:14.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/itemlabel | 9 | null | transformers | 12,312 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
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---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1359348... |
huggingtweets/johannesreck | f6dc23694bc54c5a2e44db0a82bebf1c6b8a2235 | 2021-05-22T09:55:59.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/johannesreck | 9 | null | transformers | 12,313 | ---
language: en
thumbnail: https://www.huggingtweets.com/johannesreck/1617820959621/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/657647990769... |
huggingtweets/johnlimouze | c39c5d8843f0cb252e0740e4ecd4d0c3a4dcb60c | 2021-05-22T09:58:04.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/johnlimouze | 9 | null | transformers | 12,314 | ---
language: en
thumbnail: https://www.huggingtweets.com/johnlimouze/1614164967543/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1247836262519... |
huggingtweets/jokowi | da03578fa16d4c622de7e16ad4f00b0b16ec52ab | 2021-05-22T10:02:24.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/jokowi | 9 | null | transformers | 12,315 | ---
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... |
huggingtweets/josephmama666 | 246dba2d0649f18ed0e8b2948ebfc0bf00abf133 | 2021-05-22T10:07:11.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/josephmama666 | 9 | null | transformers | 12,316 | ---
language: en
thumbnail: https://www.huggingtweets.com/josephmama666/1614134283340/predictions.png
tags:
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widget:
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---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/13373121593... |
huggingtweets/l2k | 1d8f3d9ddc6bce20fcbeea298b6afe967208ccd5 | 2021-05-22T11:20:37.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/l2k | 9 | null | transformers | 12,317 | ---
language: en
thumbnail: http://res.cloudinary.com/huggingtweets/image/upload/v1599871089/l2k.jpg
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css">
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huggingtweets/michelleobama | 865f44e599db26e135fd7dec62f95c939e71a802 | 2022-06-13T15:21:39.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/michelleobama | 9 | null | transformers | 12,318 | ---
language: en
thumbnail: http://www.huggingtweets.com/michelleobama/1655133694921/predictions.png
tags:
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widget:
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---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; w... |
huggingtweets/mikrodystopies | 8d0d47ccc5ab9b770bbcd7ce57994f74ae36da52 | 2021-05-22T14:41:31.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/mikrodystopies | 9 | null | transformers | 12,319 | ---
language: en
thumbnail: https://www.huggingtweets.com/mikrodystopies/1604658435538/predictions.png
tags:
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widget:
- text: "My dream is"
---
<link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css">
<style>
@media (prefers-color-scheme: dark) {
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huggingtweets/mutilumila | 114dcb07237ac964d927fe5a47a94d815af35962 | 2021-05-22T15:35:13.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/mutilumila | 9 | null | transformers | 12,320 | ---
language: en
thumbnail: https://www.huggingtweets.com/mutilumila/1616785118212/predictions.png
tags:
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widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/13675801811714... |
huggingtweets/noellayoshino | 5dd1a4b6216db2b5e0c907eaad0be643656d886c | 2021-05-22T16:40:41.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/noellayoshino | 9 | null | transformers | 12,321 | ---
language: en
thumbnail: https://www.huggingtweets.com/noellayoshino/1620681697974/predictions.png
tags:
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widget:
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---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; ... |
huggingtweets/notanastronomer | b404b8fd315c581b855df49498cdc870d4dfea92 | 2021-05-22T16:52:36.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
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"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/notanastronomer | 9 | null | transformers | 12,322 | ---
language: en
thumbnail: https://www.huggingtweets.com/notanastronomer/1616727503635/predictions.png
tags:
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widget:
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---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/134488856... |
huggingtweets/peterxinping | 18178d36056033e66815a5eb6b325d13c3a71641 | 2021-05-22T18:31:31.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/peterxinping | 9 | null | transformers | 12,323 | ---
language: en
thumbnail: https://www.huggingtweets.com/peterxinping/1604073988733/predictions.png
tags:
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widget:
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---
<link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css">
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huggingtweets/philosoraptor | 1f33b669f6f50d7445c66122bca15f57baf86afb | 2021-05-22T18:39:54.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
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"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/philosoraptor | 9 | null | transformers | 12,324 | ---
language: en
thumbnail: https://www.huggingtweets.com/philosoraptor/1616695417900/predictions.png
tags:
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widget:
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---
<div>
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huggingtweets/rocio_old | b06174e2de2e6e27c78580191f6d1c3948490f09 | 2021-05-22T21:18:47.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
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"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/rocio_old | 9 | null | transformers | 12,325 | ---
language: en
thumbnail: https://www.huggingtweets.com/rocio_old/1608309167358/predictions.png
tags:
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widget:
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---
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huggingtweets/scrubphilosophy | f1d6e1c6c678b0c19f473e83f15c220bbdfb5773 | 2021-05-22T22:16:23.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/scrubphilosophy | 9 | null | transformers | 12,326 | ---
language: en
thumbnail: https://www.huggingtweets.com/scrubphilosophy/1616731281223/predictions.png
tags:
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widget:
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---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/119809065... |
huggingtweets/sellarsrespectr | 543833fb179574e0757b926a48995f2533e1838d | 2021-05-22T22:25:43.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/sellarsrespectr | 9 | null | transformers | 12,327 | ---
language: en
thumbnail: https://www.huggingtweets.com/sellarsrespectr/1616720155815/predictions.png
tags:
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widget:
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---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/100483171... |
huggingtweets/sky_obito | d029d9f98678d8597951e37f2dec0bffdcc5be90 | 2021-05-22T23:00:58.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/sky_obito | 9 | null | transformers | 12,328 | ---
language: en
thumbnail: https://www.huggingtweets.com/sky_obito/1614214046985/predictions.png
tags:
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widget:
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---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/134727409005111... |
huggingtweets/spknnk | ad9d151cb65abaa95d3b5f5430f5bef2763d69eb | 2021-05-22T23:43:17.000Z | [
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"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/spknnk | 9 | null | transformers | 12,329 | ---
language: en
thumbnail: https://www.huggingtweets.com/spknnk/1616845130596/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/135506755525430067... |
huggingtweets/spookymachine | 42cfad065b2e8e485d413385d9db29c24483050a | 2021-05-22T23:44:41.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/spookymachine | 9 | null | transformers | 12,330 | ---
language: en
thumbnail: https://www.huggingtweets.com/spookymachine/1617758539359/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/13795235704... |
huggingtweets/swedense | cd7b012c61530b2e3b7ffe8935fbd3eadc229338 | 2021-05-23T00:27:12.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/swedense | 9 | null | transformers | 12,331 | ---
language: en
thumbnail: https://www.huggingtweets.com/swedense/1603209768542/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css">
<style>
@media (prefers-color-scheme: dark) {
.prose { color... |
huggingtweets/uwusman | c6b1b732896c723da9917dfc40cbec18e141a67c | 2021-05-23T03:30:45.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/uwusman | 9 | null | transformers | 12,332 | ---
language: en
thumbnail: https://www.huggingtweets.com/uwusman/1614213200557/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/13621097618947727... |
iarfmoose/wav2vec2-large-xlsr-kyrgyz | 6019fb1bd765e42c8ad1cf70944b661cf266d2db | 2021-07-06T05:57:02.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"ky",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | iarfmoose | null | iarfmoose/wav2vec2-large-xlsr-kyrgyz | 9 | null | transformers | 12,333 | ---
language: ky
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Kyrgyz by Adam Montgomerie
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name:... |
icelab/spacebert_CR | 039c85430ddfcccc7a8e6d1bb7ab78d1af456884 | 2022-02-16T09:29:17.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | icelab | null | icelab/spacebert_CR | 9 | null | transformers | 12,334 | ---
widget:
- text: "The CubeSat RF design shall either have one RF inhibit and a RF power output no greater than 1.5W at the transmitter antenna's RF input OR the CubeSat shall have a minimum of two independent RF inhibits (CDS 3.3.9) (ISO 5.5.6)."
---
---
# spacebert_CR
### Model desciption
This is a fine-tuned S... |
ietz/distilroberta-base-finetuned-jira-qt-issue-titles-and-bodies | 95f5cebdc126e2242edaf333ae5aef38fbc4d063 | 2022-01-07T21:26:22.000Z | [
"pytorch",
"roberta",
"fill-mask",
"en",
"transformers",
"jira",
"code",
"issue",
"development",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | ietz | null | ietz/distilroberta-base-finetuned-jira-qt-issue-titles-and-bodies | 9 | null | transformers | 12,335 | ---
language:
- en
tags:
- jira
- code
- issue
- development
license: mit
---
`distilroberta-base` finetuned for masked language modeling on 247731 mixed issue titles (n=126213) and descriptions (n=121518). Trained for up to 50 epochs. |
inergi/wav2vec2-from-scratch-finetune-dummy | d499b1b5a5bbebbae952e52e6b93ed92eeef5cb4 | 2021-12-15T08:18:49.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"id",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | inergi | null | inergi/wav2vec2-from-scratch-finetune-dummy | 9 | null | transformers | 12,336 | ---
language: id
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Indonesian by cahya
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
... |
infinitejoy/wav2vec2-large-xls-r-300m-assamese | 3e7f332d83973ff852cdc66c596a731635f68c05 | 2022-03-24T11:53:47.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"as",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning",
"robust-speech-event",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | infinitejoy | null | infinitejoy/wav2vec2-large-xls-r-300m-assamese | 9 | 1 | transformers | 12,337 | ---
license: apache-2.0
language: as
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning
- as
- robust-speech-event
- hf-asr-leaderboard
datasets:
- mozilla-foundation/common_voice_7_0
model-index:
- name: XLS-R-300M - Assamese
results:
- task:
name: Automatic Speech Recognition
typ... |
infinitejoy/wav2vec2-large-xls-r-300m-kurdish | 2e2d1551533f1397a25fe742049655d69fd55df5 | 2022-03-23T18:33:23.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"kmr",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"model_for_talk",
"mozilla-foundation/common_voice_7_0",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | infinitejoy | null | infinitejoy/wav2vec2-large-xls-r-300m-kurdish | 9 | 1 | transformers | 12,338 | ---
language:
- kmr
license: apache-2.0
tags:
- automatic-speech-recognition
- generated_from_trainer
- hf-asr-leaderboard
- kmr
- model_for_talk
- mozilla-foundation/common_voice_7_0
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_7_0
model-index:
- name: XLS-R-300M - Kurmanji Kurdish
results:
- ... |
ionite/DialoGPT-medium-Sh0rtiAI | 42d0bd0380e451996fa7ab3afbcf872887b418fc | 2021-11-16T01:31:47.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ionite | null | ionite/DialoGPT-medium-Sh0rtiAI | 9 | 1 | transformers | 12,339 | ---
tags:
- conversational
---
# Sh0rtiAI DialoGPT Model |
it5/it5-base-repubblica-to-ilgiornale | 45eb3ee75c9f147b4e4beec12a93c84eb31322ac | 2022-03-09T08:05:15.000Z | [
"pytorch",
"tf",
"jax",
"tensorboard",
"t5",
"text2text-generation",
"it",
"dataset:gsarti/change_it",
"arxiv:2203.03759",
"transformers",
"italian",
"sequence-to-sequence",
"newspaper",
"ilgiornale",
"repubblica",
"style-transfer",
"license:apache-2.0",
"model-index",
"co2_eq_em... | text2text-generation | false | it5 | null | it5/it5-base-repubblica-to-ilgiornale | 9 | null | transformers | 12,340 | ---
language:
- it
license: apache-2.0
datasets:
- gsarti/change_it
tags:
- italian
- sequence-to-sequence
- newspaper
- ilgiornale
- repubblica
- style-transfer
widget:
- text: "WASHINGTON - La Corea del Nord torna dopo nove anni nella blacklist Usa degli Stati considerati sponsor del terrorismo. Come Iran, Siria e Su... |
it5/mt5-small-question-answering | 2db028bf1d12026e25024cf42e777ce509534e4b | 2022-03-09T07:57:03.000Z | [
"pytorch",
"tf",
"jax",
"tensorboard",
"mt5",
"text2text-generation",
"it",
"dataset:squad_it",
"arxiv:2203.03759",
"transformers",
"italian",
"sequence-to-sequence",
"squad_it",
"text2text-question-answering",
"license:apache-2.0",
"model-index",
"co2_eq_emissions",
"autotrain_com... | text2text-generation | false | it5 | null | it5/mt5-small-question-answering | 9 | null | transformers | 12,341 | ---
language:
- it
license: apache-2.0
datasets:
- squad_it
tags:
- italian
- sequence-to-sequence
- squad_it
- text2text-question-answering
- text2text-generation
widget:
- text: "In seguito all' evento di estinzione del Cretaceo-Paleogene, l' estinzione dei dinosauri e il clima umido possono aver permesso alla forest... |
jean-paul/KinyaBERT-small | 4575f11375376ae29a8b19610f70c07ee04d02eb | 2021-08-29T10:24:38.000Z | [
"pytorch",
"bert",
"fill-mask",
"arxiv:1810.04805",
"transformers",
"autotrain_compatible"
] | fill-mask | false | jean-paul | null | jean-paul/KinyaBERT-small | 9 | null | transformers | 12,342 | # Model description
A Pretrained model on the Kinyarwanda language dataset using a masked language modeling (MLM) objective. The BERT model was first introduced in [this paper](https://arxiv.org/abs/1810.04805). This KinyaBERT model was pretrained with uncased tokens which means that no difference between for example i... |
jeniakim/hedgehog | d3a64a1c24dce72e4a52c63570f7faa744678f55 | 2022-03-30T09:27:38.000Z | [
"pytorch",
"bert",
"token-classification",
"en",
"transformers",
"license:mit",
"autotrain_compatible"
] | token-classification | false | jeniakim | null | jeniakim/hedgehog | 9 | 1 | transformers | 12,343 | ---
language: en
license: mit
inference: false
---
🦔 HEDGEhog 🦔: BERT-based multi-class uncertainty cues recognition
====================================================================
# Description
A fine-tuned multi-class classification model that detects four different types of uncertainty cues (a.k.a hedges) o... |
jky594176/recipe_BART2 | 0c53b41356f0550307b5706a5fb68eeaa1f1286b | 2021-05-31T21:04:14.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | jky594176 | null | jky594176/recipe_BART2 | 9 | null | transformers | 12,344 | Entry not found |
jpabbuehl/sagemaker-distilbert-emotion | 61884dd0430fa1f49fbd0efc1c08de3e489fc805 | 2021-11-20T14:22:59.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | jpabbuehl | null | jpabbuehl/sagemaker-distilbert-emotion | 9 | null | transformers | 12,345 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: sagemaker-distilbert-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
... |
jrbarnard/t5-generate-answer | 661789130f1d7bc047db447b3e777ddd96c79892 | 2021-06-23T12:30:00.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | jrbarnard | null | jrbarnard/t5-generate-answer | 9 | null | transformers | 12,346 | Entry not found |
juliamendelsohn/framing_narrative | b84f6f08c81954ff16a3f1ed97984e6f5692ea60 | 2021-05-20T17:28:06.000Z | [
"pytorch",
"roberta",
"transformers"
] | null | false | juliamendelsohn | null | juliamendelsohn/framing_narrative | 9 | null | transformers | 12,347 | Entry not found |
keshan/sinhala-gpt2 | a3472bef30f6db8d5f6f230cfdedca87ca29999c | 2021-07-11T17:53:31.000Z | [
"pytorch",
"tf",
"jax",
"tensorboard",
"gpt2",
"feature-extraction",
"si",
"dataset:mc4",
"transformers",
"Sinhala",
"text-generation"
] | feature-extraction | false | keshan | null | keshan/sinhala-gpt2 | 9 | null | transformers | 12,348 | ---
language: si
tags:
- Sinhala
- text-generation
- gpt2
datasets:
- mc4
---
### Overview
This is a smaller GPT2 model trained on [MC4](https://github.com/allenai/allennlp/discussions/5056) Sinhala dataset. As Sinhala is one of those low resource languages, there are only a handful of models been trained. So, this wo... |
kitaev/tetra-tag-en | a2ba70aec8fd516c02021fda82974dda02f66c78 | 2021-05-19T21:01:26.000Z | [
"pytorch",
"jax",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | kitaev | null | kitaev/tetra-tag-en | 9 | null | transformers | 12,349 | Entry not found |
kleinay/qanom-seq2seq-model-baseline | 417ef6dcec8ea534c7092263aa0d7f53c7dde13a | 2022-04-04T11:05:47.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:kleinay/qanom",
"transformers",
"semantic-role-labeling",
"question-answer generation",
"autotrain_compatible"
] | text2text-generation | false | kleinay | null | kleinay/qanom-seq2seq-model-baseline | 9 | null | transformers | 12,350 | ---
language:
- en
tags:
- semantic-role-labeling
- question-answer generation
- pytorch
datasets:
- kleinay/qanom
---
# A Seq2Seq model for QANom parsing
This is a `t5-small` pretrained model, fine-tuned on the task of generating QANom QAs.
"QANom" stands for "QASRL for Nominalizations", which is an adaptation of ... |
kykim/t5-kor-small | 29fbf536a797fdcb63c4af4b71b70df615e18d53 | 2021-06-23T12:31:25.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"feature-extraction",
"transformers"
] | feature-extraction | false | kykim | null | kykim/t5-kor-small | 9 | null | transformers | 12,351 | Entry not found |
lgris/sew-tiny-portuguese-cv | b924758fccaff0db4c5a8baa8b699fab25ecf68a | 2022-03-23T18:27:49.000Z | [
"pytorch",
"sew",
"automatic-speech-recognition",
"pt",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | lgris | null | lgris/sew-tiny-portuguese-cv | 9 | null | transformers | 12,352 | ---
language:
- pt
license: apache-2.0
tags:
- generated_from_trainer
- hf-asr-leaderboard
- pt
- robust-speech-event
datasets:
- common_voice
model-index:
- name: sew-tiny-portuguese-cv
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Commo... |
liamliang/hate_speech_content | 1dc3ab4825b27fb2a1f6e947185386ac6c9c993b | 2021-05-19T21:58:27.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | liamliang | null | liamliang/hate_speech_content | 9 | null | transformers | 12,353 | Entry not found |
liyijing024/hate_speech_target | edfd3575267df0c9df231861e57abdc7ddbfac95 | 2021-11-23T18:23:13.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | liyijing024 | null | liyijing024/hate_speech_target | 9 | null | transformers | 12,354 | Entry not found |
luffycodes/bb_narataka_roberta_large_nli_bsz_16_bb_bsz_16_nli_lr_1e5_bb_lr_1e5_grad_adam | 456b78f0769e43207b0f1f26af35444f68d8a07f | 2021-10-29T21:07:50.000Z | [
"pytorch",
"roberta",
"transformers"
] | null | false | luffycodes | null | luffycodes/bb_narataka_roberta_large_nli_bsz_16_bb_bsz_16_nli_lr_1e5_bb_lr_1e5_grad_adam | 9 | null | transformers | 12,355 | Entry not found |
m3hrdadfi/icelandic-ner-bert | 2e9742e6d84b25b312654fb49d9d42fce070c7fe | 2021-05-27T17:14:13.000Z | [
"pytorch",
"tf",
"bert",
"token-classification",
"is",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | m3hrdadfi | null | m3hrdadfi/icelandic-ner-bert | 9 | null | transformers | 12,356 | ---
language: is
license: apache-2.0
widget:
- text: "Kristin manneskja getur ekki lagt frásagnir af Jesú Kristi á hilluna vegna þess að hún sé búin að lesa þær ."
- text: "Til hvers að kjósa flokk , sem þykist vera Jafnaðarmannaflokkur rétt fyrir kosningar , þegar að það er hægt að kjósa sannnan jafnaðarmannaflokk ,... |
maelfabien/marcel_customer_service_large | 19b2639f4a19c624d23c9221dc92983f3f655bc9 | 2021-04-13T23:23:56.000Z | [
"pytorch",
"camembert",
"text-generation",
"transformers"
] | text-generation | false | maelfabien | null | maelfabien/marcel_customer_service_large | 9 | null | transformers | 12,357 | Entry not found |
maelfabien/marcel_customer_service_medium | 25a1ddb0d0ec9d1665288f9dfa64ab16ad6d501f | 2021-04-13T23:42:16.000Z | [
"pytorch",
"camembert",
"text-generation",
"transformers"
] | text-generation | false | maelfabien | null | maelfabien/marcel_customer_service_medium | 9 | null | transformers | 12,358 | Entry not found |
malay-huggingface/xlnet-large-bahasa-cased | e9ab399fc4e57730b3321e9c4df0581c9ad89545 | 2021-09-26T12:57:26.000Z | [
"pytorch",
"xlnet",
"feature-extraction",
"ms",
"transformers"
] | feature-extraction | false | malay-huggingface | null | malay-huggingface/xlnet-large-bahasa-cased | 9 | null | transformers | 12,359 | ---
language: ms
---
# xlnet-large-bahasa-cased
Pretrained XLNET large language model for Malay.
## Pretraining Corpus
`xlnet-large-bahasa-cased` model was pretrained on ~1.4 Billion words. Below is list of data we trained on,
1. [cleaned local texts](https://github.com/huseinzol05/malay-dataset/tree/master/dumpin... |
maxidl/iML-distilbert-base-uncased-predict | 2fd10dd30d3f71245a4db3533f5ea718a22e93b0 | 2021-11-18T21:47:02.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | maxidl | null | maxidl/iML-distilbert-base-uncased-predict | 9 | null | transformers | 12,360 | Entry not found |
maximedb/paws-x-all-x-en | b89acf3dc80b19aad39ca62eb18d57d188feb7d4 | 2021-10-20T18:40:36.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | false | maximedb | null | maximedb/paws-x-all-x-en | 9 | null | transformers | 12,361 | Entry not found |
mbeukman/xlm-roberta-base-finetuned-ner-wolof | 0afdf7ac5fe7e91fe1f2cafc8ec6f995b94b1d2b | 2021-11-25T09:04:43.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"wo",
"dataset:masakhaner",
"arxiv:2103.11811",
"transformers",
"NER",
"autotrain_compatible"
] | token-classification | false | mbeukman | null | mbeukman/xlm-roberta-base-finetuned-ner-wolof | 9 | null | transformers | 12,362 | ---
language:
- wo
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "SAFIYETU BÉEY Céy Koronaa !"
---
# xlm-roberta-base-finetuned-ner-wolof
This is a token classification (specifically NER) model that fine-tuned [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on th... |
mbeukman/xlm-roberta-base-finetuned-swahili-finetuned-ner-swahili | a239f32f3b22fe5a91bb64db052c63ba46ebd5ff | 2021-11-25T09:05:03.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"sw",
"dataset:masakhaner",
"arxiv:2103.11811",
"transformers",
"NER",
"autotrain_compatible"
] | token-classification | false | mbeukman | null | mbeukman/xlm-roberta-base-finetuned-swahili-finetuned-ner-swahili | 9 | null | transformers | 12,363 | ---
language:
- sw
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "Wizara ya afya ya Tanzania imeripoti Jumatatu kuwa , watu takriban 14 zaidi wamepata maambukizi ya Covid - 19 ."
---
# xlm-roberta-base-finetuned-swahili-finetuned-ner-swahili
This is a token classification (s... |
michaelrglass/rag-token-nq-kgi0-zsre | 823f8804a0e07cc0e55c67aaf0ed549e462ba96e | 2021-04-20T12:53:18.000Z | [
"pytorch",
"rag",
"transformers"
] | null | false | michaelrglass | null | michaelrglass/rag-token-nq-kgi0-zsre | 9 | null | transformers | 12,364 | Entry not found |
mnaylor/base-bert-finetuned-mtsamples | 855d6362b3fc8e2a0b05213c7a719d594560ca6e | 2021-07-19T15:53:35.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | mnaylor | null | mnaylor/base-bert-finetuned-mtsamples | 9 | null | transformers | 12,365 | # BERT Base Fine-tuned on MTSamples
This model is [BERT-base](https://huggingface.co/bert-base-uncased) fine-tuned on the MTSamples dataset, with a classification task defined in [this repo](https://github.com/socd06/medical-nlp).
|
monologg/kocharelectra-base-kmounlp-ner | faa4a5584d173ceda8dc9ffb14f9a8fe150535d1 | 2020-12-02T15:28:07.000Z | [
"pytorch",
"electra",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | monologg | null | monologg/kocharelectra-base-kmounlp-ner | 9 | null | transformers | 12,366 | Entry not found |
mrm8488/RoBERTinha | 389c1984d098683d415cd070d970f1a6dc841060 | 2021-05-20T18:03:32.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"gl",
"transformers",
"autotrain_compatible"
] | fill-mask | false | mrm8488 | null | mrm8488/RoBERTinha | 9 | null | transformers | 12,367 | ---
language: gl
widget:
- text: "Galicia é unha <mask> autónoma española."
- text: "A lingua oficial de Galicia é o <mask>."
---
# RoBERTinha: RoBERTa-like Language model trained on OSCAR Galician corpus
|
mrm8488/bert-tiny-3-finetuned-squadv2 | 6ad3c80fdd0769c6ded488accfd81ad1902f5fba | 2021-05-20T00:39:15.000Z | [
"pytorch",
"jax",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | mrm8488 | null | mrm8488/bert-tiny-3-finetuned-squadv2 | 9 | null | transformers | 12,368 | Entry not found |
mrm8488/bert2bert-mini_shared-question-generation | cda01c12dbe172f223daf3d88dc18cd4eb4b8396 | 2020-12-26T12:52:16.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | mrm8488 | null | mrm8488/bert2bert-mini_shared-question-generation | 9 | null | transformers | 12,369 | Entry not found |
mrm8488/bert2bert_shared-italian-question-generation | 5260aa5037a7fab18c8986b1ba2980f9d2d43017 | 2020-12-11T14:33:07.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | mrm8488 | null | mrm8488/bert2bert_shared-italian-question-generation | 9 | null | transformers | 12,370 | Entry not found |
mrm8488/bioclinical-roberta-es-finenuned-clinical-ner | 55a5299ef9cfe626a5fd7b34b27913f978b4a4e4 | 2022-01-24T16:04:07.000Z | [
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | mrm8488 | null | mrm8488/bioclinical-roberta-es-finenuned-clinical-ner | 9 | null | transformers | 12,371 | Entry not found |
mrm8488/codebert2codebert-finetuned-code-refinement-small | d74879d65ed6e886c22de0c62688dbfe52073d8d | 2021-06-11T14:36:00.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | mrm8488 | null | mrm8488/codebert2codebert-finetuned-code-refinement-small | 9 | null | transformers | 12,372 | Entry not found |
mrm8488/distilroberta-finetuned-rotten_tomatoes-sentiment-analysis | e385ca4b241e411e8de0a7de6e36afc5548254d0 | 2021-08-26T15:28:40.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | mrm8488 | null | mrm8488/distilroberta-finetuned-rotten_tomatoes-sentiment-analysis | 9 | null | transformers | 12,373 | Entry not found |
mrm8488/electricidad-base-finetuned-medical-diagnostics | e448e764f4eec528e58ad5091ae3cefdc2b94e16 | 2021-10-04T17:03:07.000Z | [
"pytorch",
"tensorboard",
"electra",
"text-classification",
"transformers"
] | text-classification | false | mrm8488 | null | mrm8488/electricidad-base-finetuned-medical-diagnostics | 9 | null | transformers | 12,374 | ---
lang: 'es'
widget:
- text: "TUMOR DE COMPORTAMIENTO INCIERTO O DESCONOCIDO DEL HNGADO, DE LA VESNCULA BILIAR Y DEL CONDUCTO BILIAR - DiagnNstico Principal - Z01.8 OTROS EXNMENES ESPECIALES ESPECIFICADOS"
---
# Electricidad (base) fine-tuned medical diagnostics |
mrm8488/mobilebert-uncased-finetuned-squadv1 | 4611efec8432379bfb867f2f48fe5b55d62d3f10 | 2020-12-11T21:54:41.000Z | [
"pytorch",
"mobilebert",
"question-answering",
"en",
"dataset:squad",
"arxiv:2004.02984",
"transformers",
"autotrain_compatible"
] | question-answering | false | mrm8488 | null | mrm8488/mobilebert-uncased-finetuned-squadv1 | 9 | null | transformers | 12,375 | ---
language: en
datasets:
- squad
---
# MobileBERT + SQuAD (v1.1) 📱❓
[mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) fine-tuned on [SQUAD v2.0 dataset](https://rajpurkar.github.io/SQuAD-explorer/explore/v2.0/dev/) for **Q&A** downstream task.
## Details of the downstream task (Q&A) - Model �... |
mrm8488/t5-small-finetuned-common_gen | ac76a88701e5b6b8af75be9603ee26f4b361fe2f | 2021-06-23T13:08:18.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | mrm8488 | null | mrm8488/t5-small-finetuned-common_gen | 9 | null | transformers | 12,376 | Entry not found |
muirkat/tolkien-mythopoeic-gen | 6d4d2b3fd8c70619fc0311436b9bef512dda5691 | 2021-09-17T21:28:53.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-generation | false | muirkat | null | muirkat/tolkien-mythopoeic-gen | 9 | null | transformers | 12,377 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: tolkien-mythopoeic-gen
results:
- task:
name: Causal Language Modeling
type: text-generation
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofre... |
nalini2799/CDAC_hindispeechrecognition | 97980c233b96b7d854441ff86a2d628f0b678490 | 2021-12-10T20:20:58.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"hi",
"dataset:Interspeech 2021",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | nalini2799 | null | nalini2799/CDAC_hindispeechrecognition | 9 | 1 | transformers | 12,378 | ---
language: hi
datasets:
- Interspeech 2021
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Hindi by Nalini Kumari
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
datas... |
napsternxg/scibert_scivocab_uncased_ft_tv_SDU21_AI | 879754cce3d67126c42d1f15e70e34e94aa663df | 2021-05-20T01:11:49.000Z | [
"pytorch",
"jax",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | napsternxg | null | napsternxg/scibert_scivocab_uncased_ft_tv_SDU21_AI | 9 | null | transformers | 12,379 | scibert_scivocab_uncased_ft_tv MLM pretrained on SDU21 Task 1 + 2
|
napsternxg/scibert_scivocab_uncased_tv_SDU21_AI | dfd3d064269982b49d9a74759ca2764955be9c61 | 2021-05-20T01:12:46.000Z | [
"pytorch",
"jax",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | napsternxg | null | napsternxg/scibert_scivocab_uncased_tv_SDU21_AI | 9 | null | transformers | 12,380 | scibert_scivocab_uncased_tv submission for SDU21 Task 1 AI
|
neuropark/sahajBERT-NCC | 0225852b736f10da3ef073b276ff6d9004473fed | 2021-06-15T12:40:08.000Z | [
"pytorch",
"albert",
"text-classification",
"bn",
"dataset:IndicGlue",
"transformers",
"collaborative",
"bengali",
"SequenceClassification",
"license:apache-2.0"
] | text-classification | false | neuropark | null | neuropark/sahajBERT-NCC | 9 | 2 | transformers | 12,381 |
---
language: bn
tags:
- collaborative
- bengali
- SequenceClassification
license: apache-2.0
datasets: IndicGlue
metrics:
- Loss
- Accuracy
- Precision
- Recall
widget:
- text: "এশিয়ায় প্রথম দৃষ্টিহীন ব্যক্তির মাউন্ট এভারেস্ট জয়|"
---
# sahajBERT News Article Classification
## Model description
[sahajBERT](http... |
nlokam/books_to_bots_v.00 | 04ebf8703f36cb5c64775e231b83664475d1eecd | 2021-12-02T21:51:33.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | nlokam | null | nlokam/books_to_bots_v.00 | 9 | null | transformers | 12,382 | ---
tags:
- conversational
---
# Books to Bots V.00 |
nreimers/MiniLMv2-L6-H768-distilled-from-BERT-Base | cc69d2110175a18be978f1d52fb45b407576e797 | 2021-06-20T19:02:31.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | nreimers | null | nreimers/MiniLMv2-L6-H768-distilled-from-BERT-Base | 9 | null | transformers | 12,383 | # MiniLMv2
This is a MiniLMv2 model from: [https://github.com/microsoft/unilm](https://github.com/microsoft/unilm/tree/master/minilm) |
nyu-mll/roberta-base-100M-1 | cc1cedeecf92d5877c2c9a84e4a61d499e86c813 | 2021-05-20T18:53:55.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | nyu-mll | null | nyu-mll/roberta-base-100M-1 | 9 | null | transformers | 12,384 | # RoBERTa Pretrained on Smaller Datasets
We pretrain RoBERTa on smaller datasets (1M, 10M, 100M, 1B tokens). We release 3 models with lowest perplexities for each pretraining data size out of 25 runs (or 10 in the case of 1B tokens). The pretraining data reproduces that of BERT: We combine English Wikipedia and a repr... |
o2poi/sst2-eda-bert | 1127bb45d99ffba3f0f4516d9756e3f54b5a9480 | 2021-06-11T13:00:53.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | o2poi | null | o2poi/sst2-eda-bert | 9 | null | transformers | 12,385 | Entry not found |
oandreae/financial_sentiment_model | 2c1f91cf2b66d4670cb807d473e0635d042170c6 | 2022-01-20T20:00:01.000Z | [
"pytorch",
"tensorboard",
"perceiver",
"text-classification",
"dataset:financial_phrasebank",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | oandreae | null | oandreae/financial_sentiment_model | 9 | 1 | transformers | 12,386 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- financial_phrasebank
metrics:
- recall
- accuracy
- precision
model-index:
- name: financial_sentiment_model
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: financial_phrasebank
type: f... |
patrickvonplaten/roberta2roberta-share-cnn_dailymail-fp16 | 33828469971906e457488ace2957ff18182a4bb1 | 2020-12-11T21:59:26.000Z | [
"pytorch",
"encoder_decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | patrickvonplaten | null | patrickvonplaten/roberta2roberta-share-cnn_dailymail-fp16 | 9 | null | transformers | 12,387 | # Shared Roberta2Roberta Summarization with 🤗 EncoderDecoder Framework
This model is a shared Roberta2Roberta model, meaning that the encoder and decoder weights are tied, fine-tuned on summarization.
Roberta2Roberta is a `EncoderDecoderModel`, meaning that both the encoder and the decoder are `roberta-base`
RoBERT... |
pchanda/pretrained-smiles-pubchem10m | 3f5c603606a89f07c080f8dd564419f8814a161e | 2021-05-20T13:01:15.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | pchanda | null | pchanda/pretrained-smiles-pubchem10m | 9 | null | transformers | 12,388 | model pretrained on 10m smiles from pubchem.
|
philschmid/MiniLMv2-L6-H384-emotion | 96350ab4dfcc93b17a7759e1ab53dd73db2a5589 | 2021-12-06T19:59:04.000Z | [
"pytorch",
"roberta",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | philschmid | null | philschmid/MiniLMv2-L6-H384-emotion | 9 | null | transformers | 12,389 | ---
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: MiniLMv2-L6-H384-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
- name: Accuracy
t... |
pierric/autonlp-my-own-imdb-sentiment-analysis-2131817 | fd725976967405236012b2804c686927764ac889 | 2021-06-29T22:08:35.000Z | [
"pytorch",
"roberta",
"text-classification",
"en",
"dataset:pierric/autonlp-data-my-own-imdb-sentiment-analysis",
"transformers",
"autonlp"
] | text-classification | false | pierric | null | pierric/autonlp-my-own-imdb-sentiment-analysis-2131817 | 9 | null | transformers | 12,390 | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- pierric/autonlp-data-my-own-imdb-sentiment-analysis
---
# Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 2131817
## Validation Metrics
- Loss: 0.24430708587169647
- Accuracy: 0.9452
- Precision: 0.930394431... |
pitehu/T5_NER_CONLL_ENTITYREPLACE | 13fff880ad3a63581e6bebc7d962ef0907dd4d84 | 2022-01-28T11:05:16.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:CoNLL-2003",
"arxiv:2111.10952",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | pitehu | null | pitehu/T5_NER_CONLL_ENTITYREPLACE | 9 | null | transformers | 12,391 |
---
language:
- en
license: "apache-2.0"
datasets:
- CoNLL-2003
metrics:
- F1
---
This is a T5 small model finetuned on CoNLL-2003 dataset for named entity recognition (NER).
Example Input and Output:
“Recognize all the named entities in this sequence (replace named entities with one of [PER], [ORG], [LOC], [MIS... |
psychicautomaton/bert-base-uncased-finetuned-suicide | 56962716fd988bc02459a08ad6ce0065da998fcc | 2021-12-21T23:48:01.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | psychicautomaton | null | psychicautomaton/bert-base-uncased-finetuned-suicide | 9 | null | transformers | 12,392 | Entry not found |
rafagudinov/en_rent_estate_ads | f5bbec1774ddc1b0f2625b82312b407b331e2355 | 2021-11-29T17:24:49.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | rafagudinov | null | rafagudinov/en_rent_estate_ads | 9 | null | transformers | 12,393 | Entry not found |
ramybaly/ner_nerd | a988f226e22e9b17176de5a384bab85a778eb12b | 2021-08-07T04:20:30.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:nerd",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | ramybaly | null | ramybaly/ner_nerd | 9 | null | transformers | 12,394 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- nerd
metrics:
- precision
- recall
- f1
- accuracy
model_index:
- name: ner_nerd
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: nerd
type: nerd
args: nerd
metric:
nam... |
rsvp-AI-ca/segabert-uncased-base-50k | a29f7c6d6a08c418a6d191a03533b848e2073930 | 2020-12-13T03:04:25.000Z | [
"pytorch",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | rsvp-AI-ca | null | rsvp-AI-ca/segabert-uncased-base-50k | 9 | null | transformers | 12,395 | Entry not found |
ruiqi-zhong/roberta-large-meta-tuning-test | ce6b194ba8ecd09a8a7cd757d7eb14c7799ca366 | 2021-09-14T03:24:59.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | ruiqi-zhong | null | ruiqi-zhong/roberta-large-meta-tuning-test | 9 | null | transformers | 12,396 | Entry not found |
saattrupdan/xlmr-base-texas-squad-da | f69bdb83d3537d0404f471f8cd7b23757b6ba3b1 | 2022-02-05T15:55:52.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"question-answering",
"da",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | question-answering | false | saattrupdan | null | saattrupdan/xlmr-base-texas-squad-da | 9 | null | transformers | 12,397 | ---
language:
- da
license: mit
tags:
- generated_from_trainer
model-index:
- name: xlmr-base-texas-squad-da
results: []
widget:
- text: "Hvem handler artiklen om?"
context: "Forfatter og musiker Flemming Quist Møller er død i en alder af 79 år. Den folkekære kunstner faldt om ved morgenbordet med en blodprop i hje... |
saraks/cuad-distil-parties-dates-law-08-25-clean-context1 | 8c69a44d54e301866cb26adb52fad70b662881af | 2021-08-25T10:00:44.000Z | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | saraks | null | saraks/cuad-distil-parties-dates-law-08-25-clean-context1 | 9 | null | transformers | 12,398 | Entry not found |
savasy/bert-turkish-uncased-qnli | e72cb2ce635b33c5f1ca4b1cf1c18d925f3f3074 | 2021-05-20T04:57:50.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | savasy | null | savasy/bert-turkish-uncased-qnli | 9 | null | transformers | 12,399 |
# Turkish QNLI Model
I fine-tuned Turkish-Bert-Model for Question-Answering problem with Turkish version of SQuAD; TQuAD
https://huggingface.co/dbmdz/bert-base-turkish-uncased
# Data: TQuAD
I used following TQuAD data set
https://github.com/TQuad/turkish-nlp-qa-dataset
I convert the dataset into transformers glue... |
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