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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Helsinki-NLP/opus-mt-fi-mt | 50a13920f9ee99bbf35be1d6bd0cd87eb5df9c5c | 2021-09-09T21:49:46.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"mt",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-mt | 9 | null | transformers | 12,100 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-mt
* source languages: fi
* target languages: mt
* OPUS readme: [fi-mt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-mt/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-fi-nso | 33381477145dbeb38f8c51320b434d106e42ec6f | 2021-09-09T21:49:58.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"nso",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-nso | 9 | null | transformers | 12,101 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-nso
* source languages: fi
* target languages: nso
* OPUS readme: [fi-nso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-nso/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-fi-swc | 25808885bb6a048cbf1a0bdc70dc65bfef4e8d6d | 2021-09-09T21:51:12.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fi",
"swc",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fi-swc | 9 | null | transformers | 12,102 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fi-swc
* source languages: fi
* target languages: swc
* OPUS readme: [fi-swc](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-swc/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-fj-fr | a4ed3c5f4b777029e38f903ddf74f545e8414b82 | 2021-09-09T21:52:40.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fj",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fj-fr | 9 | null | transformers | 12,103 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fj-fr
* source languages: fj
* target languages: fr
* OPUS readme: [fj-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fj-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-fr-mt | a2e29216c2370e58c6da9a7408f0b0baca02181c | 2021-09-09T21:55:41.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"mt",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-mt | 9 | null | transformers | 12,104 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-mt
* source languages: fr
* target languages: mt
* OPUS readme: [fr-mt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-mt/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-fr-srn | beac2414acee0c0d1b2f6527735749a04627d612 | 2021-09-09T21:56:57.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"srn",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-srn | 9 | null | transformers | 12,105 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-srn
* source languages: fr
* target languages: srn
* OPUS readme: [fr-srn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-srn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-fr-ty | 6daaa2a2c18acc2156e63b6c759f76a951f4d4e4 | 2021-09-09T21:57:56.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"ty",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-ty | 9 | null | transformers | 12,106 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-ty
* source languages: fr
* target languages: ty
* OPUS readme: [fr-ty](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ty/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-fr-yap | 62973627846854e69452cff56abe3f2cf97fe341 | 2021-09-09T21:58:20.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"yap",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-yap | 9 | null | transformers | 12,107 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-yap
* source languages: fr
* target languages: yap
* OPUS readme: [fr-yap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-yap/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-fr-yo | fb5403e5a10c1be60e81c15311e110e11ae2e127 | 2021-09-09T21:58:25.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"yo",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-yo | 9 | null | transformers | 12,108 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-yo
* source languages: fr
* target languages: yo
* OPUS readme: [fr-yo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-yo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-gaa-fr | ff85d1cef66d2c3356ad45722438e78704f93bc9 | 2021-09-09T21:58:54.000Z | [
"pytorch",
"marian",
"text2text-generation",
"gaa",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-gaa-fr | 9 | null | transformers | 12,109 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-gaa-fr
* source languages: gaa
* target languages: fr
* OPUS readme: [gaa-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-gil-fi | 2af28c83bbe0a8c52a70c985859c22a5748fe870 | 2021-09-09T21:59:13.000Z | [
"pytorch",
"marian",
"text2text-generation",
"gil",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-gil-fi | 9 | null | transformers | 12,110 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-gil-fi
* source languages: gil
* target languages: fi
* OPUS readme: [gil-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gil-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-gl-pt | 405800cc336304df910c14565697e2c3aa8622df | 2021-01-18T08:52:45.000Z | [
"pytorch",
"marian",
"text2text-generation",
"gl",
"pt",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-gl-pt | 9 | null | transformers | 12,111 | ---
language:
- gl
- pt
tags:
- translation
license: apache-2.0
---
### glg-por
* source group: Galician
* target group: Portuguese
* OPUS readme: [glg-por](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-por/README.md)
* model: transformer-align
* source language(s): glg
* target lan... |
Helsinki-NLP/opus-mt-gmw-en | 14eecd0cc660fdc4319eb82129f6a5873c56bf1b | 2021-01-18T08:53:00.000Z | [
"pytorch",
"marian",
"text2text-generation",
"nl",
"en",
"lb",
"af",
"de",
"fy",
"yi",
"gmw",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-gmw-en | 9 | null | transformers | 12,112 | ---
language:
- nl
- en
- lb
- af
- de
- fy
- yi
- gmw
tags:
- translation
license: apache-2.0
---
### gmw-eng
* source group: West Germanic languages
* target group: English
* OPUS readme: [gmw-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmw-eng/README.md)
* model: transformer
*... |
Helsinki-NLP/opus-mt-is-fi | e943e0b23c71ff6abf4da89ba878cc486cec5bfa | 2021-09-09T22:12:12.000Z | [
"pytorch",
"marian",
"text2text-generation",
"is",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-is-fi | 9 | null | transformers | 12,113 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-is-fi
* source languages: is
* target languages: fi
* OPUS readme: [is-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/is-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-is-sv | 22c505f87c5484b3e73e042937087d2de434a223 | 2021-09-09T22:12:20.000Z | [
"pytorch",
"marian",
"text2text-generation",
"is",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-is-sv | 9 | null | transformers | 12,114 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-is-sv
* source languages: is
* target languages: sv
* OPUS readme: [is-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/is-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-it-sv | ca009b276a527f4bfc8eb45bfee1a37f45b7b88f | 2021-09-10T13:53:03.000Z | [
"pytorch",
"marian",
"text2text-generation",
"it",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-it-sv | 9 | null | transformers | 12,115 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-it-sv
* source languages: it
* target languages: sv
* OPUS readme: [it-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/it-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-ja-da | 74a908dc132b73b3e0e5f32e9362ca6593b242de | 2020-08-21T14:42:47.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ja",
"da",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ja-da | 9 | null | transformers | 12,116 | ---
language:
- ja
- da
tags:
- translation
license: apache-2.0
---
### jpn-dan
* source group: Japanese
* target group: Danish
* OPUS readme: [jpn-dan](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-dan/README.md)
* model: transformer-align
* source language(s): jpn_Hani jpn_Hira jp... |
Helsinki-NLP/opus-mt-ko-hu | 129183c58bad505b70f9a82c41ac7eadfe481cac | 2020-08-21T14:42:47.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ko",
"hu",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ko-hu | 9 | null | transformers | 12,117 | ---
language:
- ko
- hu
tags:
- translation
license: apache-2.0
---
### kor-hun
* source group: Korean
* target group: Hungarian
* OPUS readme: [kor-hun](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-hun/README.md)
* model: transformer-align
* source language(s): kor kor_Hang kor_La... |
Helsinki-NLP/opus-mt-lua-fr | 4b48d4ff9cf51fc73c09c3f51088fa8fc877a1bd | 2021-09-10T13:56:15.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lua",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lua-fr | 9 | null | transformers | 12,118 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lua-fr
* source languages: lua
* target languages: fr
* OPUS readme: [lua-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lua-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-lus-fi | 15f7c3660bdd6db1a5bec2a4ef68f34e108ab4b7 | 2021-09-10T13:56:55.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lus",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lus-fi | 9 | null | transformers | 12,119 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lus-fi
* source languages: lus
* target languages: fi
* OPUS readme: [lus-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lus-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-no-ru | 9403f7e76db6ad7b121e5ee9c2ab375bca4b334d | 2020-08-21T14:42:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"no",
"ru",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-no-ru | 9 | null | transformers | 12,120 | ---
language:
- no
- ru
tags:
- translation
license: apache-2.0
---
### nor-rus
* source group: Norwegian
* target group: Russian
* OPUS readme: [nor-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-rus/README.md)
* model: transformer-align
* source language(s): nno nob
* target l... |
Helsinki-NLP/opus-mt-ny-es | ecf215cfc68db14727c7d6eacfd0bd71b43e419f | 2021-09-10T13:59:55.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ny",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ny-es | 9 | null | transformers | 12,121 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ny-es
* source languages: ny
* target languages: es
* OPUS readme: [ny-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ny-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-pap-es | c0231a7b6778c6d7c97ef255234220a442591c55 | 2021-09-10T14:00:41.000Z | [
"pytorch",
"marian",
"text2text-generation",
"pap",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-pap-es | 9 | null | transformers | 12,122 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-pap-es
* source languages: pap
* target languages: es
* OPUS readme: [pap-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pap-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-pis-fr | 4b3761ce6333a6acd45276540dbcd6f73d0599a0 | 2021-09-10T14:01:04.000Z | [
"pytorch",
"marian",
"text2text-generation",
"pis",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-pis-fr | 9 | null | transformers | 12,123 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-pis-fr
* source languages: pis
* target languages: fr
* OPUS readme: [pis-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pis-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-pl-no | 180f6730794a2ba689d997d179ca7fbef883ccbf | 2020-08-21T14:42:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"pl",
"no",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-pl-no | 9 | null | transformers | 12,124 | ---
language:
- pl
- no
tags:
- translation
license: apache-2.0
---
### pol-nor
* source group: Polish
* target group: Norwegian
* OPUS readme: [pol-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-nor/README.md)
* model: transformer-align
* source language(s): pol
* target langua... |
Helsinki-NLP/opus-mt-pon-fi | cfe8cd8c84d0f509a22eeecf9f4f3b4e068518ad | 2021-09-10T14:01:37.000Z | [
"pytorch",
"marian",
"text2text-generation",
"pon",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-pon-fi | 9 | null | transformers | 12,125 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-pon-fi
* source languages: pon
* target languages: fi
* OPUS readme: [pon-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pon-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-prl-es | 0491a81cbf737a9446ff3a836f96364c756f06fa | 2021-09-10T14:01:49.000Z | [
"pytorch",
"marian",
"text2text-generation",
"prl",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-prl-es | 9 | null | transformers | 12,126 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-prl-es
* source languages: prl
* target languages: es
* OPUS readme: [prl-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/prl-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-ru-da | 1b3671c92a4aeb5538b60460f52aa1bfb4be4c5c | 2020-08-21T14:42:49.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ru",
"da",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ru-da | 9 | null | transformers | 12,127 | ---
language:
- ru
- da
tags:
- translation
license: apache-2.0
---
### rus-dan
* source group: Russian
* target group: Danish
* OPUS readme: [rus-dan](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-dan/README.md)
* model: transformer-align
* source language(s): rus
* target language... |
Helsinki-NLP/opus-mt-st-sv | 31d949849d50a18eec58c89d0aac3707e4822508 | 2021-09-10T14:05:09.000Z | [
"pytorch",
"marian",
"text2text-generation",
"st",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-st-sv | 9 | null | transformers | 12,128 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-st-sv
* source languages: st
* target languages: sv
* OPUS readme: [st-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/st-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-sv-efi | 5f27be86bf1089971ddb8f6217b12b04370089c6 | 2021-09-10T14:06:04.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"efi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-efi | 9 | null | transformers | 12,129 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-efi
* source languages: sv
* target languages: efi
* OPUS readme: [sv-efi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-efi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-sv-niu | ca139393b4eb9d748acd203b7103fe13786fb76d | 2021-09-10T14:08:25.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"niu",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-niu | 9 | null | transformers | 12,130 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-niu
* source languages: sv
* target languages: niu
* OPUS readme: [sv-niu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-niu/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-sv-ty | 14528339a50e372a8e58390e830af7bc076c572a | 2021-09-10T14:10:29.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"ty",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-ty | 9 | null | transformers | 12,131 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-ty
* source languages: sv
* target languages: ty
* OPUS readme: [sv-ty](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ty/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-tiv-fr | 8e0eeddd684b98a6835c4cb18f2b64ebc1b0339f | 2021-09-11T10:48:12.000Z | [
"pytorch",
"marian",
"text2text-generation",
"tiv",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tiv-fr | 9 | null | transformers | 12,132 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-tiv-fr
* source languages: tiv
* target languages: fr
* OPUS readme: [tiv-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tiv-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-tr-sv | dd61e4019527973eaf89dea2303366eab6eaeea8 | 2021-09-11T10:49:46.000Z | [
"pytorch",
"marian",
"text2text-generation",
"tr",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tr-sv | 9 | null | transformers | 12,133 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-tr-sv
* source languages: tr
* target languages: sv
* OPUS readme: [tr-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tr-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-ts-fi | 186ae66ee908eb549d6d2fc111d62209c4d0c992 | 2021-09-11T10:49:56.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ts",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ts-fi | 9 | null | transformers | 12,134 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ts-fi
* source languages: ts
* target languages: fi
* OPUS readme: [ts-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ts-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-tw-es | 2b92519627890a2dfa9f6288d9b8986e05270e21 | 2021-09-11T10:50:39.000Z | [
"pytorch",
"marian",
"text2text-generation",
"tw",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tw-es | 9 | null | transformers | 12,135 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-tw-es
* source languages: tw
* target languages: es
* OPUS readme: [tw-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tw-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-uk-de | 695f511c49ef134d2194c9f115546b6c273fb994 | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"text2text-generation",
"uk",
"de",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-uk-de | 9 | null | transformers | 12,136 | ---
language:
- uk
- de
tags:
- translation
license: apache-2.0
---
### ukr-deu
* source group: Ukrainian
* target group: German
* OPUS readme: [ukr-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-deu/README.md)
* model: transformer-align
* source language(s): ukr
* target langua... |
Helsinki-NLP/opus-mt-uk-he | ff01cbe0f11d2f009bf34236b9fe58d9f1c66091 | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"text2text-generation",
"uk",
"he",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-uk-he | 9 | null | transformers | 12,137 | ---
language:
- uk
- he
tags:
- translation
license: apache-2.0
---
### ukr-heb
* source group: Ukrainian
* target group: Hebrew
* OPUS readme: [ukr-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-heb/README.md)
* model: transformer-align
* source language(s): ukr
* target langua... |
Helsinki-NLP/opus-mt-uk-hu | 17f3e9461db05569f8160c3a1e14da7a3a81c84e | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"text2text-generation",
"uk",
"hu",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-uk-hu | 9 | null | transformers | 12,138 | ---
language:
- uk
- hu
tags:
- translation
license: apache-2.0
---
### ukr-hun
* source group: Ukrainian
* target group: Hungarian
* OPUS readme: [ukr-hun](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-hun/README.md)
* model: transformer-align
* source language(s): ukr
* target lan... |
Helsinki-NLP/opus-mt-wal-en | 2f06019086b97ed0d8768b978ab1d61adac0fc4d | 2021-09-11T10:51:51.000Z | [
"pytorch",
"marian",
"text2text-generation",
"wal",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-wal-en | 9 | null | transformers | 12,139 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-wal-en
* source languages: wal
* target languages: en
* OPUS readme: [wal-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/wal-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-yap-fr | 0a8a2f122d3d0263db62011b8394dbe45d3eb734 | 2021-09-11T10:52:38.000Z | [
"pytorch",
"marian",
"text2text-generation",
"yap",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-yap-fr | 9 | null | transformers | 12,140 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-yap-fr
* source languages: yap
* target languages: fr
* OPUS readme: [yap-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/yap-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Herais/pred_timeperiod | fb5548d8db24c2d413c85bed919f533f6bddcfc0 | 2022-02-27T05:52:58.000Z | [
"pytorch",
"bert",
"text-classification",
"zh",
"dataset:Custom",
"transformers",
"classification",
"license:apache-2.0"
] | text-classification | false | Herais | null | Herais/pred_timeperiod | 9 | null | transformers | 12,141 | ---
language:
- zh
tags:
- classification
license: apache-2.0
datasets:
- Custom
metrics:
- rouge
---
This model predicts the time period given a synopsis of about 200 Chinese characters.
The model is trained on TV and Movie datasets and takes simplified Chinese as input.
We trained the model from the "hfl/chinese-ber... |
HungChau/distilbert-base-cased-concept-extraction-wikipedia-v1.2 | 77568c39b315b946014dd3ecca27edad644b01f8 | 2021-11-16T20:44:17.000Z | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | HungChau | null | HungChau/distilbert-base-cased-concept-extraction-wikipedia-v1.2 | 9 | null | transformers | 12,142 | Entry not found |
Intel/bert-base-uncased-sparse-85-unstructured-pruneofa | 2623863d5568c78583ff87da978a8768ff1525e9 | 2022-01-13T12:12:27.000Z | [
"pytorch",
"tf",
"bert",
"pretraining",
"en",
"dataset:wikipedia",
"dataset:bookcorpus",
"arxiv:2111.05754",
"transformers",
"fill-mask"
] | fill-mask | false | Intel | null | Intel/bert-base-uncased-sparse-85-unstructured-pruneofa | 9 | null | transformers | 12,143 | ---
language: en
tags: fill-mask
datasets:
- wikipedia
- bookcorpus
---
# 85% Sparse BERT-Large (uncased) Prune OFA
This model is a result from our paper [Prune Once for All: Sparse Pre-Trained Language Models](https://arxiv.org/abs/2111.05754) presented in ENLSP NeurIPS Workshop 2021.
For further details on the mode... |
Irina/Fairytale | e770e5b53d0250a7b45e1eb6373efe653c4226b7 | 2021-12-22T22:21:24.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | Irina | null | Irina/Fairytale | 9 | null | transformers | 12,144 | Entry not found |
ItcastAI/bert_cn_finetuning | d7643297cce2a1e518c40480ff1fbf306a758c65 | 2021-05-18T21:10:29.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | ItcastAI | null | ItcastAI/bert_cn_finetuning | 9 | null | transformers | 12,145 | Entry not found |
Jodsa/camembert_clf | 98baf3da92e362047658c32e1892ccac953ca7c7 | 2021-05-18T14:29:37.000Z | [
"pytorch",
"camembert",
"text-classification",
"transformers"
] | text-classification | false | Jodsa | null | Jodsa/camembert_clf | 9 | null | transformers | 12,146 | Entry not found |
JorisCos/ConvTasNet_Libri3Mix_sepclean_16k | 4d2ee438cee8cc31708770028ab2332287da4f01 | 2021-09-23T15:49:03.000Z | [
"pytorch",
"dataset:Libri3Mix",
"dataset:sep_clean",
"asteroid",
"audio",
"ConvTasNet",
"audio-to-audio",
"license:cc-by-sa-4.0"
] | audio-to-audio | false | JorisCos | null | JorisCos/ConvTasNet_Libri3Mix_sepclean_16k | 9 | null | asteroid | 12,147 | ---
tags:
- asteroid
- audio
- ConvTasNet
- audio-to-audio
datasets:
- Libri3Mix
- sep_clean
license: cc-by-sa-4.0
---
## Asteroid model `JorisCos/ConvTasNet_Libri3Mix_sepclean_16k`
Description:
This model was trained by Joris Cosentino using the librimix recipe in [Asteroid](https://github.com/asteroid-team/asteroi... |
JorisCos/DCUNet_Libri1Mix_enhsingle_16k | 3fa701427576e01e835ae415c8ed7516874b08dd | 2021-09-23T15:49:15.000Z | [
"pytorch",
"dataset:Libri1Mix",
"dataset:enh_single",
"asteroid",
"audio",
"DCUNet",
"audio-to-audio",
"license:cc-by-sa-4.0"
] | audio-to-audio | false | JorisCos | null | JorisCos/DCUNet_Libri1Mix_enhsingle_16k | 9 | 1 | asteroid | 12,148 | ---
tags:
- asteroid
- audio
- DCUNet
- audio-to-audio
datasets:
- Libri1Mix
- enh_single
license: cc-by-sa-4.0
---
## Asteroid model `JorisCos/DCUNet_Libri1Mix_enhsignle_16k`
Description:
This model was trained by Joris Cosentino using the librimix recipe in [Asteroid](https://github.com/asteroid-team/asteroid).
It... |
JuliusAlphonso/dear-jarvis-monolith-xed-en | 6ff080bdc7929253477dc4d57b70faf21b88ab27 | 2021-06-22T09:48:03.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | JuliusAlphonso | null | JuliusAlphonso/dear-jarvis-monolith-xed-en | 9 | null | transformers | 12,149 | ## Model description
This model was trained on the XED dataset and achieved
validation loss: 0.5995
validation acc: 84.28% (ROC-AUC)
Labels are based on Plutchik's model of emotions and may be combined:
![image](https://user-images.githubusercontent.com/12978899/122398897-f60d2500-cf97-11eb-8991-61e68f4ea1fc.png... |
Khanh/xlm-roberta-base-finetuned-viquad | 1df64444706632a660260c897e549a49f17a2416 | 2022-01-04T18:56:38.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"question-answering",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | question-answering | false | Khanh | null | Khanh/xlm-roberta-base-finetuned-viquad | 9 | null | transformers | 12,150 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-base-finetuned-viquad
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-robe... |
KoichiYasuoka/roberta-base-japanese-aozora-char | 2f53454b2602c83b8418967cd3b6a7adc78267d4 | 2022-06-21T05:50:52.000Z | [
"pytorch",
"roberta",
"fill-mask",
"ja",
"transformers",
"japanese",
"masked-lm",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | fill-mask | false | KoichiYasuoka | null | KoichiYasuoka/roberta-base-japanese-aozora-char | 9 | 1 | transformers | 12,151 | ---
language:
- "ja"
tags:
- "japanese"
- "masked-lm"
license: "cc-by-sa-4.0"
pipeline_tag: "fill-mask"
mask_token: "[MASK]"
widget:
- text: "日本に着いたら[MASK]を訪ねなさい。"
---
# roberta-base-japanese-aozora-char
## Model Description
This is a RoBERTa model pre-trained on 青空文庫 texts with character tokenizer. You can fine-tun... |
KoichiYasuoka/roberta-large-japanese-char-luw-upos | 7b8a887f17db3f2c74706615fcff795fb6b76fbf | 2022-06-26T23:00:37.000Z | [
"pytorch",
"roberta",
"token-classification",
"ja",
"dataset:universal_dependencies",
"transformers",
"japanese",
"pos",
"dependency-parsing",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | token-classification | false | KoichiYasuoka | null | KoichiYasuoka/roberta-large-japanese-char-luw-upos | 9 | null | transformers | 12,152 | ---
language:
- "ja"
tags:
- "japanese"
- "token-classification"
- "pos"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "cc-by-sa-4.0"
pipeline_tag: "token-classification"
widget:
- text: "国境の長いトンネルを抜けると雪国であった。"
---
# roberta-large-japanese-char-luw-upos
## Model Description
This is a RoBERTa m... |
LegolasTheElf/Wav2Vec2_xls_r_300m_hi_final | a095a27f0eb385bd9a4e0637cffdaf8bff85efd3 | 2022-02-08T04:27:18.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"hi",
"transformers",
"Openslr Multilingual",
"mozilla-foundation/common_voice_7_0",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | LegolasTheElf | null | LegolasTheElf/Wav2Vec2_xls_r_300m_hi_final | 9 | null | transformers | 12,153 | ---
language:
- hi
license: apache-2.0
tags:
- automatic-speech-recognition
- Openslr Multilingual
- mozilla-foundation/common_voice_7_0
- generated_from_trainer
model-index:
- name: Wav2Vec2_xls_r_300m_hi_final
results: []
---
<!-- This model card has been generated automatically according to the information the Tr... |
Lumos/ag_news1 | cf2fb8c2ebc3c2c6e74049995ec475df6300c74d | 2021-12-13T12:01:36.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Lumos | null | Lumos/ag_news1 | 9 | null | transformers | 12,154 | Entry not found |
M-FAC/bert-mini-finetuned-stsb | cd5b9155a80f634ffbcf5f801f8abce6df9634c8 | 2021-12-13T08:17:27.000Z | [
"pytorch",
"bert",
"text-classification",
"arxiv:2107.03356",
"transformers"
] | text-classification | false | M-FAC | null | M-FAC/bert-mini-finetuned-stsb | 9 | null | transformers | 12,155 | # BERT-mini model finetuned with M-FAC
This model is finetuned on STS-B dataset with state-of-the-art second-order optimizer M-FAC.
Check NeurIPS 2021 paper for more details on M-FAC: [https://arxiv.org/pdf/2107.03356.pdf](https://arxiv.org/pdf/2107.03356.pdf).
## Finetuning setup
For fair comparison against default... |
MMG/bert-base-spanish-wwm-cased-finetuned-sqac | 15da909d0ea9e7859994f65e3adf1a8047ecd0e6 | 2021-12-01T06:13:29.000Z | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"es",
"dataset:sqac",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | MMG | null | MMG/bert-base-spanish-wwm-cased-finetuned-sqac | 9 | null | transformers | 12,156 | ---
tags:
- generated_from_trainer
datasets:
- sqac
model-index:
- name: bert-base-spanish-wwm-cased-finetuned-sqac
results: []
language:
- es
---
<!-- 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 t... |
MadhurJindalWorkMail/autonlp-Gibb-Detect-515314387 | 01077a07652e1e11395261c4a63a7f145e0a5fd5 | 2022-01-21T07:05:45.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"dataset:MadhurJindalWorkMail/autonlp-data-Gibb-Detect",
"transformers",
"autonlp",
"co2_eq_emissions"
] | text-classification | false | MadhurJindalWorkMail | null | MadhurJindalWorkMail/autonlp-Gibb-Detect-515314387 | 9 | null | transformers | 12,157 | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- MadhurJindalWorkMail/autonlp-data-Gibb-Detect
co2_eq_emissions: 70.95647633212745
---
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 515314387
- CO2 Emissions (in grams): 70.95647633212745
## Validati... |
Maha/OGBV-gender-bert-hi-en-hasoc20a-fin | 94fe6be6729b2e7bafc737410636c586a940b13c | 2022-02-23T03:56:11.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Maha | null | Maha/OGBV-gender-bert-hi-en-hasoc20a-fin | 9 | null | transformers | 12,158 | Entry not found |
MaryaAI/opus-mt-en-ro-finetuned-en-to-ro | e88a9e255c0ef5e6647f056d0050bda63a99aeac | 2021-09-05T08:42:06.000Z | [
"pytorch",
"tensorboard",
"marian",
"text2text-generation",
"dataset:wmt16",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | MaryaAI | null | MaryaAI/opus-mt-en-ro-finetuned-en-to-ro | 9 | null | transformers | 12,159 | ---
tags:
- generated_from_trainer
datasets:
- wmt16
metrics:
- bleu
model-index:
- name: opus-mt-en-ro-finetuned-en-to-ro
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: wmt16
type: wmt16
args: ro-en
metrics:
- name: ... |
Media1129/keyword-tag-model-6000-9-16_more_ingredient | f3209f2010ee9fa4d14c2295a47ba336301b6d7c | 2021-09-17T02:19:45.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Media1129 | null | Media1129/keyword-tag-model-6000-9-16_more_ingredient | 9 | null | transformers | 12,160 | Entry not found |
Mihneo/romanian_bert_news | cbfd7241c69072388bc91d5f508c1bfd78613758 | 2021-05-18T20:33:44.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Mihneo | null | Mihneo/romanian_bert_news | 9 | null | transformers | 12,161 | |
Milos/slovak-gpt-j-405M | ce46daa785ff8ca71f8e9f9c6913c1fceb9f98a6 | 2022-02-18T13:46:50.000Z | [
"pytorch",
"gptj",
"text-generation",
"sk",
"arxiv:2104.09864",
"transformers",
"Slovak GPT-J",
"causal-lm",
"license:gpl-3.0"
] | text-generation | false | Milos | null | Milos/slovak-gpt-j-405M | 9 | null | transformers | 12,162 | ---
language:
- sk
tags:
- Slovak GPT-J
- pytorch
- causal-lm
license: gpl-3.0
---
# Slovak GPT-J-405M
Slovak GPT-J-405M is the second model released in Slovak GPT-J series after its smaller variant [Slovak GPT-J-162M](https://huggingface.co/Milos/slovak-gpt-j-162M). Since then a larger [Slovak GPT-J-1.4B](https://hug... |
Monsia/camembert-fr-covid-tweet-classification | b86ce8a0c7dba1e95caf20af4db692cb3d499fab | 2021-10-29T15:17:47.000Z | [
"pytorch",
"camembert",
"text-classification",
"fr",
"transformers",
"classification",
"license:apache-2.0"
] | text-classification | false | Monsia | null | Monsia/camembert-fr-covid-tweet-classification | 9 | null | transformers | 12,163 | ---
language:
- fr
tags:
- classification
license: apache-2.0
metrics:
- accuracy
widget:
- text: "tchai on est morts. on va se faire vacciner et ils vont contrôler comme les marionnettes avec des fils. d'après les 'ont dit'..."
---
# camembert-fr-covid-tweet-classification
This model is a fine-tune checkpoint of [... |
Mood/distilbert-base-uncased-finetuned-ner | aff9865337ff315110f791b7703b54348b160ffe | 2021-11-18T16:56:01.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | Mood | null | Mood/distilbert-base-uncased-finetuned-ner | 9 | null | transformers | 12,164 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-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, then remove this comment. -->
... |
Muennighoff/SGPT-2.7B-weightedmean-nli-bitfit | 3f56086f795e8562fe8cb97178f23ed6fa453edb | 2022-06-18T13:11:04.000Z | [
"pytorch",
"gpt_neo",
"feature-extraction",
"arxiv:2202.08904",
"sentence-transformers",
"sentence-similarity"
] | sentence-similarity | false | Muennighoff | null | Muennighoff/SGPT-2.7B-weightedmean-nli-bitfit | 9 | null | sentence-transformers | 12,165 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# SGPT-2.7B-weightedmean-nli-bitfit
## Usage
For usage instructions, refer to our codebase: https://github.com/Muennighoff/sgpt
## Evaluation Results
For eval results, refer to the eval folder or our... |
Mustang/BERT_responsible_AI | 9d96a6f94a07cbcbd695385a9a6a317a7128ba25 | 2022-01-26T13:44:12.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers",
"license:eupl-1.1"
] | text-classification | false | Mustang | null | Mustang/BERT_responsible_AI | 9 | null | transformers | 12,166 | ---
license: eupl-1.1
---
## BERT model van het project Explainable AI |
NDugar/2epochv3mlni | f77c36f81a093d658f3b30b8f5f7b5a4fefd1fdf | 2021-11-30T18:31:47.000Z | [
"pytorch",
"deberta-v2",
"text-classification",
"en",
"arxiv:2006.03654",
"transformers",
"deberta-v3",
"deberta-v2`",
"deberta-mnli",
"license:mit",
"zero-shot-classification"
] | zero-shot-classification | false | NDugar | null | NDugar/2epochv3mlni | 9 | null | transformers | 12,167 | ---
language: en
tags:
- deberta-v3
- deberta-v2`
- deberta-mnli
tasks: mnli
thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
license: mit
pipeline_tag: zero-shot-classification
---
## DeBERTa: Decoding-enhanced BERT with Disentangled Attention
[DeBERTa](https://arxiv.org/abs/2006.03654) improves the B... |
Narshion/bert-base-multilingual-cased-urgency | 3ec2e67d7ab2503dcc14e5ccfc8fa4db42df070b | 2021-09-15T12:27:00.000Z | [
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | fill-mask | false | Narshion | null | Narshion/bert-base-multilingual-cased-urgency | 9 | null | transformers | 12,168 | ---
tags:
- generated_from_trainer
datasets:
- null
model-index:
- name: bert-base-multilingual-cased-urgency
results:
- task:
name: Masked Language Modeling
type: fill-mask
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should prob... |
Nihwy/DialoSqui | 4d0dc1b82842c78d6e4301daaffae5046ea9d9f9 | 2022-01-23T19:46:05.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Nihwy | null | Nihwy/DialoSqui | 9 | null | transformers | 12,169 | ---
tags:
- conversational
---
# Squi |
Norod78/hebrew-gpt_neo-xl-poetry | 09a87f6351a2cf63c86e0c19ac2ea63387e15482 | 2022-07-04T07:26:28.000Z | [
"pytorch",
"jax",
"gpt_neo",
"text-generation",
"he",
"transformers",
"license:mit"
] | text-generation | false | Norod78 | null | Norod78/hebrew-gpt_neo-xl-poetry | 9 | 1 | transformers | 12,170 | ---
language: he
thumbnail: https://avatars1.githubusercontent.com/u/3617152?norod.jpg
widget:
- text: "עוד בימי קדם"
- text: "תריסר מכשפות סג"
- text: "\n\nהאיש האחרון בעולם /"
- text: "פעם אחת, לפני שנים רבות"
- text: "הרמיוני הסתירה את"
- text: "לפתע, אור ירוק"
license: mit
---
# hebrew-gpt_neo-xl-poetry
Hebrew... |
Osiris/emotion_classifier | 531104b7bfc271dc1a17d92ec7b9214b0984776f | 2021-11-26T07:57:27.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | Osiris | null | Osiris/emotion_classifier | 9 | 1 | transformers | 12,171 | ### Introduction:
This model belongs to text-classification. You can determine the emotion behind a sentence.
### Label Explaination:
LABEL_0: Positive (have positive emotion)
LABEL_1: Negative (have negative emotion)
### Usage:
```python
>>> from transformers import pipeline
>>> ec = pipeline('text-classification', m... |
RASMUS/wav2vec2-xlsr-1b-ru | 8f9d93cf7228d7e0390b9d9917fdedb277faef2e | 2022-03-23T18:29:08.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"ru",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"audio",
"generated_from_trainer",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_8_0",
"robust-speech-event",
"speech",
"model-index"
] | automatic-speech-recognition | false | RASMUS | null | RASMUS/wav2vec2-xlsr-1b-ru | 9 | null | transformers | 12,172 | ---
language: ru
datasets:
- mozilla-foundation/common_voice_8_0
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- generated_from_trainer
- hf-asr-leaderboard
- mozilla-foundation/common_voice_8_0
- robust-speech-event
- speech
model-index:
- name: XLS-R 1B Wav2Vec2 Russian by Rasmus Toivanen
result... |
SEBIS/code_trans_t5_small_code_comment_generation_java | d91a502235dc170da9074967ef5a0d8101cf898b | 2021-06-23T09:55:51.000Z | [
"pytorch",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_small_code_comment_generation_java | 9 | null | transformers | 12,173 | ---
tags:
- summarization
widget:
- text: "protected String renderUri ( URI uri ) { return uri . toASCIIString ( ) ; }"
---
# CodeTrans model for code comment generation java
Pretrained model on programming language java using the t5 small model architecture. It was first released in
[this repository](https://github... |
SEISHIN/distilbert-base-uncased-finetuned-ner | 15453a7ed482a01db1d1437c58381cb8c67e44b5 | 2021-12-27T07:53:05.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | SEISHIN | null | SEISHIN/distilbert-base-uncased-finetuned-ner | 9 | null | transformers | 12,174 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conl... |
Sancha/t5-small-finetuned-fi-to-en | 401c47619f0f85e09b060e4db47db1bc5532e981 | 2021-12-05T23:36:44.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:wmt19",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | Sancha | null | Sancha/t5-small-finetuned-fi-to-en | 9 | null | transformers | 12,175 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wmt19
metrics:
- bleu
model-index:
- name: t5-small-finetuned-fi-to-en
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: wmt19
type: wmt19
args: fi-en
metric... |
SauravMaheshkar/clr-pretrained-roberta-base | a289bbd8900a10bd7cf7b988e9f559c680997e6a | 2021-09-23T15:58:06.000Z | [
"pytorch",
"roberta",
"fill-mask",
"dataset:Commonlit-Readibility",
"transformers",
"kaggle",
"license:cc0-1.0",
"autotrain_compatible"
] | fill-mask | false | SauravMaheshkar | null | SauravMaheshkar/clr-pretrained-roberta-base | 9 | null | transformers | 12,176 | ---
thumbnail: https://github.com/SauravMaheshkar/CommonLit-Readibility/blob/main/assets/CommonLit%20-%20Big%20Banner.png?raw=true
tags:
- kaggle
license: cc0-1.0
datasets:
- Commonlit-Readibility
metrics:
- Perplexity
---
![](https://github.com/SauravMaheshkar/CommonLit-Readibility/blob/main/assets/CommonLit%20-%20Bi... |
SetFit/deberta-v3-large__sst2__train-16-9 | ae356250baca330080c2736285d3b417e651e0f0 | 2022-02-10T11:39:45.000Z | [
"pytorch",
"deberta-v2",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | SetFit | null | SetFit/deberta-v3-large__sst2__train-16-9 | 9 | null | transformers | 12,177 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deberta-v3-large__sst2__train-16-9
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this com... |
SetFit/deberta-v3-large__sst2__train-8-8 | 869f9dfb905868850384f675c71c137ff8a12f65 | 2022-02-10T09:59:57.000Z | [
"pytorch",
"deberta-v2",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | SetFit | null | SetFit/deberta-v3-large__sst2__train-8-8 | 9 | null | transformers | 12,178 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deberta-v3-large__sst2__train-8-8
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... |
SetFit/distilbert-base-uncased__subj__train-8-0 | 3ae2b7c08157608f27f822711e6d90beafc5d6a0 | 2022-02-09T20:17:24.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | SetFit | null | SetFit/distilbert-base-uncased__subj__train-8-0 | 9 | null | transformers | 12,179 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased__subj__train-8-0
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then re... |
Shushant/distilgpt2-finetuned-nepaligpt | 0709642326f37fb07f39b7a5c6c2e7b115d855d8 | 2022-01-18T11:14:02.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | false | Shushant | null | Shushant/distilgpt2-finetuned-nepaligpt | 9 | null | transformers | 12,180 | Entry not found |
SimonThormeyer/movie-plot-generator-longer-plots | 9eeef143cea1ac81462bee9dd3c15f604ba60c91 | 2021-07-27T15:06:33.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | SimonThormeyer | null | SimonThormeyer/movie-plot-generator-longer-plots | 9 | null | transformers | 12,181 | Entry not found |
SoLID/sgd-response-generator | 0727b39c17ee8dab0ee2444f1e88a30a782fd839 | 2021-12-15T06:18:27.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | SoLID | null | SoLID/sgd-response-generator | 9 | null | transformers | 12,182 | Entry not found |
Sonny/distilbert-base-uncased-finetuned-squad-d5716d28 | 4a359e825cdc7c5f7e98f2a9d72c879a3403e023 | 2022-02-16T00:49:43.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"en",
"dataset:squad",
"arxiv:1910.01108",
"transformers",
"question-answering",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | false | Sonny | null | Sonny/distilbert-base-uncased-finetuned-squad-d5716d28 | 9 | null | transformers | 12,183 | ---
language:
- en
thumbnail: https://github.com/karanchahal/distiller/blob/master/distiller.jpg
tags:
- question-answering
license: apache-2.0
datasets:
- squad
metrics:
- squad
---
# DistilBERT with a second step of distillation
## Model description
This model replicates the "DistilBERT (D)" model from Table 2 of... |
StivenLancheros/roberta-base-biomedical-clinical-es-finetuned-ner-BioNLP13 | 54ddb072a3319c66cfb00e2287d03f2e828e67d6 | 2022-02-23T01:33:52.000Z | [
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | StivenLancheros | null | StivenLancheros/roberta-base-biomedical-clinical-es-finetuned-ner-BioNLP13 | 9 | null | transformers | 12,184 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: roberta-base-biomedical-clinical-es-finetuned-ner-BioNLP13
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should... |
TTYU/DialoGPT-small-trump | 270b9a58376cd00e31efb4c0e6a187679f0bfcd7 | 2021-09-22T21:22:16.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | TTYU | null | TTYU/DialoGPT-small-trump | 9 | null | transformers | 12,185 | ---
tags:
- conversational
---
# Trump Tweets DialoGPT Model |
Tahsin-Mayeesha/bangla-fake-news-mbert | b9a6a1c334d68ccec965cb44e5bf62bf38dedad3 | 2021-08-05T14:06:59.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Tahsin-Mayeesha | null | Tahsin-Mayeesha/bangla-fake-news-mbert | 9 | null | transformers | 12,186 | Entry not found |
TransQuest/monotransquest-hter-en_de-it-nmt | 22b6caca61f61b029ec8ab81c97b2d45497ec581 | 2021-06-04T08:02:31.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"en-de",
"transformers",
"Quality Estimation",
"monotransquest",
"hter",
"license:apache-2.0"
] | text-classification | false | TransQuest | null | TransQuest/monotransquest-hter-en_de-it-nmt | 9 | null | transformers | 12,187 | ---
language: en-de
tags:
- Quality Estimation
- monotransquest
- hter
license: apache-2.0
---
# TransQuest: Translation Quality Estimation with Cross-lingual Transformers
The goal of quality estimation (QE) is to evaluate the quality of a translation without having access to a reference translation. High-accuracy QE... |
TransQuest/monotransquest-hter-en_de-it-smt | 432a81a60278dbca9cae8ac4858dcc2ffa9683fe | 2021-06-04T08:03:17.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"en-de",
"transformers",
"Quality Estimation",
"monotransquest",
"hter",
"license:apache-2.0"
] | text-classification | false | TransQuest | null | TransQuest/monotransquest-hter-en_de-it-smt | 9 | null | transformers | 12,188 | ---
language: en-de
tags:
- Quality Estimation
- monotransquest
- hter
license: apache-2.0
---
# TransQuest: Translation Quality Estimation with Cross-lingual Transformers
The goal of quality estimation (QE) is to evaluate the quality of a translation without having access to a reference translation. High-accuracy QE... |
TransQuest/monotransquest-hter-en_lv-it-nmt | 540451de1d3738078633a933be9bad0d656684cd | 2021-06-04T08:04:48.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"en-lv",
"transformers",
"Quality Estimation",
"monotransquest",
"hter",
"license:apache-2.0"
] | text-classification | false | TransQuest | null | TransQuest/monotransquest-hter-en_lv-it-nmt | 9 | null | transformers | 12,189 | ---
language: en-lv
tags:
- Quality Estimation
- monotransquest
- hter
license: apache-2.0
---
# TransQuest: Translation Quality Estimation with Cross-lingual Transformers
The goal of quality estimation (QE) is to evaluate the quality of a translation without having access to a reference translation. High-accuracy QE... |
Vaibhavbrkn/t5-summarization | eae0f49cdd81148bb6d37ed725b5c28fc30654c5 | 2021-06-23T10:30:16.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Vaibhavbrkn | null | Vaibhavbrkn/t5-summarization | 9 | null | transformers | 12,190 | Entry not found |
Wiam/wav2vec2-large-xlsr-arabic-demo-colab | 9836f42138aeaab3eeb02cda17244dc596337f4a | 2021-11-05T09:44:58.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | Wiam | null | Wiam/wav2vec2-large-xlsr-arabic-demo-colab | 9 | null | transformers | 12,191 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xlsr-arabic-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 ... |
Yv/bert-finetuned-ner-accelerate | 19ce295072db96a4a98175cc0d21ee29d53c5b49 | 2021-12-23T13:30:09.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Yv | null | Yv/bert-finetuned-ner-accelerate | 9 | null | transformers | 12,192 | Entry not found |
ZiweiG/ziwei-bert-imdb | 6fb1e4303c96d292346ed862d40f62b0ce277296 | 2021-05-18T22:52:12.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | ZiweiG | null | ZiweiG/ziwei-bert-imdb | 9 | null | transformers | 12,193 | Entry not found |
aXhyra/demo_irony_31415 | bc8798e4888e72affc76f585d09671e2329c6888 | 2021-12-13T17:54:43.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:tweet_eval",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | aXhyra | null | aXhyra/demo_irony_31415 | 9 | null | transformers | 12,194 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: demo_irony_31415
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: irony
metrics:
- name: F1
... |
aXhyra/irony_trained_1234567 | 664b47695e1919144234e7e18207b0a4cfeea7ce | 2021-12-12T12:22:43.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:tweet_eval",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | aXhyra | null | aXhyra/irony_trained_1234567 | 9 | null | transformers | 12,195 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: irony_trained_1234567
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: irony
metrics:
- name... |
aXhyra/presentation_emotion_1234567 | 0a0715b328e85cb1bc77d362caba9764e6710e54 | 2021-12-15T10:46:43.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:tweet_eval",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | aXhyra | null | aXhyra/presentation_emotion_1234567 | 9 | null | transformers | 12,196 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: presentation_emotion_1234567
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: emotion
metrics:
... |
aXhyra/presentation_emotion_31415 | 819c619842c75638f735f43f4a341ad5bde00632 | 2021-12-15T10:41:54.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:tweet_eval",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | aXhyra | null | aXhyra/presentation_emotion_31415 | 9 | null | transformers | 12,197 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: presentation_emotion_31415
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: emotion
metrics:
... |
aXhyra/presentation_hate_31415 | 73ca7b6e75b93eaaa3ccb60cbf8ea3222d2172fa | 2021-12-15T11:24:57.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:tweet_eval",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | aXhyra | null | aXhyra/presentation_hate_31415 | 9 | null | transformers | 12,198 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: presentation_hate_31415
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: hate
metrics:
- nam... |
aXhyra/presentation_sentiment_42 | e5f87467b9d3370c794e199659e7835c2bdb3abc | 2021-12-15T13:28:22.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:tweet_eval",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | aXhyra | null | aXhyra/presentation_sentiment_42 | 9 | null | transformers | 12,199 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: presentation_sentiment_42
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: sentiment
metrics:
... |
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