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Helsinki-NLP/opus-mt-fr-kqn | 55c48b031db6ee7fad4dba242a117a21643786a2 | 2021-09-09T21:54:51.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"kqn",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-kqn | 10 | null | transformers | 11,500 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-kqn
* source languages: fr
* target languages: kqn
* OPUS readme: [fr-kqn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-kqn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-fr-no | ec2b1ec3eb5b1345cc98eda27e37eff7fe816c3d | 2021-01-18T08:45:59.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"no",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-no | 10 | null | transformers | 11,501 | ---
language:
- fr
- no
tags:
- translation
license: apache-2.0
---
### fra-nor
* source group: French
* target group: Norwegian
* OPUS readme: [fra-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-nor/README.md)
* model: transformer-align
* source language(s): fra
* target langua... |
Helsinki-NLP/opus-mt-fr-tl | c8a605061fcd4e667ec00cc80b77d1e39731c346 | 2021-01-18T08:48:07.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"tl",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-tl | 10 | null | transformers | 11,502 | ---
language:
- fr
- tl
tags:
- translation
license: apache-2.0
---
### fra-tgl
* source group: French
* target group: Tagalog
* OPUS readme: [fra-tgl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-tgl/README.md)
* model: transformer-align
* source language(s): fra
* target language... |
Helsinki-NLP/opus-mt-fr-wls | 97b5db4cc967b5367d2f553c0229cce465d8bb08 | 2021-09-09T21:58:13.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"wls",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-wls | 10 | null | transformers | 11,503 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-wls
* source languages: fr
* target languages: wls
* OPUS readme: [fr-wls](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-wls/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-fr-zne | 0783a82515f525e6f006e7147a18d51e2f75faa8 | 2021-09-09T21:58:29.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"zne",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-zne | 10 | null | transformers | 11,504 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-zne
* source languages: fr
* target languages: zne
* OPUS readme: [fr-zne](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-zne/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-ig-de | 0084b69aec8c759aaa05592862d9aef0772b7e37 | 2021-09-09T22:11:29.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ig",
"de",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ig-de | 10 | null | transformers | 11,505 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ig-de
* source languages: ig
* target languages: de
* OPUS readme: [ig-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ig-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-ig-fi | 240902f320cdf164915020b4b3a0e29af35f65f2 | 2021-09-09T22:11:41.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ig",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ig-fi | 10 | null | transformers | 11,506 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ig-fi
* source languages: ig
* target languages: fi
* OPUS readme: [ig-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ig-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-ilo-sv | beadc79a61a1a0a6c7080a36b62a82e61753e27b | 2021-09-09T22:12:04.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ilo",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ilo-sv | 10 | null | transformers | 11,507 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ilo-sv
* source languages: ilo
* target languages: sv
* OPUS readme: [ilo-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ilo-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-lg-es | ffcb8472817743ce83729e165416716259784ce3 | 2021-09-10T13:54:42.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lg",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lg-es | 10 | null | transformers | 11,508 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lg-es
* source languages: lg
* target languages: es
* OPUS readme: [lg-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lg-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-lg-fr | 81884e060814b3278945b53a7598601e4fb17bea | 2021-09-10T13:54:50.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lg",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lg-fr | 10 | null | transformers | 11,509 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lg-fr
* source languages: lg
* target languages: fr
* OPUS readme: [lg-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lg-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-lg-sv | ec39a6f639e22be00ea1ee10296db2105b27cec9 | 2021-09-10T13:54:53.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lg",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lg-sv | 10 | null | transformers | 11,510 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lg-sv
* source languages: lg
* target languages: sv
* OPUS readme: [lg-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lg-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-lt-ru | 9b62456ce3d1e83fc114841f14c6ebb90abbad0a | 2020-08-21T14:42:47.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lt",
"ru",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lt-ru | 10 | null | transformers | 11,511 | ---
language:
- lt
- ru
tags:
- translation
license: apache-2.0
---
### lit-rus
* source group: Lithuanian
* target group: Russian
* OPUS readme: [lit-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-rus/README.md)
* model: transformer-align
* source language(s): lit
* target lang... |
Helsinki-NLP/opus-mt-lu-fi | 5314ef637cb45a491756e68c8c35331a5b72cc0d | 2021-09-10T13:55:53.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lu",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lu-fi | 10 | null | transformers | 11,512 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lu-fi
* source languages: lu
* target languages: fi
* OPUS readme: [lu-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lu-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-lv-fr | cc6608772f63d05ccae0651fe335cd5d561aee0a | 2021-09-10T13:57:18.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lv",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lv-fr | 10 | null | transformers | 11,513 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lv-fr
* source languages: lv
* target languages: fr
* OPUS readme: [lv-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lv-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-mfe-es | 21ab6da94608acb3e37d8fe567aab658a519ea05 | 2021-09-10T13:57:29.000Z | [
"pytorch",
"marian",
"text2text-generation",
"mfe",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-mfe-es | 10 | null | transformers | 11,514 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-mfe-es
* source languages: mfe
* target languages: es
* OPUS readme: [mfe-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mfe-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-niu-es | e14ce7ed4bb8c8cf30eee96583b6be99b7397047 | 2021-09-10T13:58:52.000Z | [
"pytorch",
"marian",
"text2text-generation",
"niu",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-niu-es | 10 | null | transformers | 11,515 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-niu-es
* source languages: niu
* target languages: es
* OPUS readme: [niu-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/niu-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-no-fi | c2078a17f749f08c71b710ce555f34cf79a6b874 | 2020-08-21T14:42:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"no",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-no-fi | 10 | null | transformers | 11,516 | ---
language:
- no
- fi
tags:
- translation
license: apache-2.0
---
### nor-fin
* source group: Norwegian
* target group: Finnish
* OPUS readme: [nor-fin](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-fin/README.md)
* model: transformer-align
* source language(s): nno nob
* target l... |
Helsinki-NLP/opus-mt-pon-sv | 13c611e9f67915672c3b470b6b316c8da68395b3 | 2021-09-10T14:01:45.000Z | [
"pytorch",
"marian",
"text2text-generation",
"pon",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-pon-sv | 10 | null | transformers | 11,517 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-pon-sv
* source languages: pon
* target languages: sv
* OPUS readme: [pon-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pon-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-ru-no | 33660009041320d06a1c6b3f6df6956d11e19536 | 2020-08-21T14:42:49.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ru",
"no",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ru-no | 10 | null | transformers | 11,518 | ---
language:
- ru
- no
tags:
- translation
license: apache-2.0
---
### rus-nor
* source group: Russian
* target group: Norwegian
* OPUS readme: [rus-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-nor/README.md)
* model: transformer-align
* source language(s): rus
* target langu... |
Helsinki-NLP/opus-mt-run-sv | 6b11d88bbbce3e9f7e1bcc2aba07f3f560c5984b | 2021-09-10T14:02:44.000Z | [
"pytorch",
"marian",
"text2text-generation",
"run",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-run-sv | 10 | null | transformers | 11,519 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-run-sv
* source languages: run
* target languages: sv
* OPUS readme: [run-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/run-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-sl-fr | 89c07fc004f006c2eca854470b3ca27c9db90d73 | 2021-09-10T14:03:46.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sl",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sl-fr | 10 | null | transformers | 11,520 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sl-fr
* source languages: sl
* target languages: fr
* OPUS readme: [sl-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sl-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-sv-hu | a7d71025801a08b0d92489911b069d1b40441b61 | 2021-09-10T14:07:10.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"hu",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-hu | 10 | null | transformers | 11,521 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-hu
* source languages: sv
* target languages: hu
* OPUS readme: [sv-hu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-hu/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-sv-ln | 01e4ca35440881a1562eccc8d0186ac35cb4f0c8 | 2021-09-10T14:07:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"ln",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-ln | 10 | null | transformers | 11,522 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-ln
* source languages: sv
* target languages: ln
* OPUS readme: [sv-ln](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ln/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-sv-mh | e7d142d7f3ae77e1f6baddb6256fe28692dbcb1d | 2021-09-10T14:08:14.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"mh",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-mh | 10 | null | transformers | 11,523 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-mh
* source languages: sv
* target languages: mh
* OPUS readme: [sv-mh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-mh/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-sv-tll | 40d13c4054533ec14f4e1660377cc27b18a9c687 | 2021-09-10T14:09:56.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"tll",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-tll | 10 | null | transformers | 11,524 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-tll
* source languages: sv
* target languages: tll
* OPUS readme: [sv-tll](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-tll/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-sv-wls | 42268c920e747a098122e32f0711e8ac7f66f057 | 2021-09-11T10:47:21.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"wls",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-wls | 10 | null | transformers | 11,525 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-wls
* source languages: sv
* target languages: wls
* OPUS readme: [sv-wls](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-wls/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-tll-fi | b876f0d43685f5fd0490cbb3109a7d2864bf433b | 2021-09-11T10:48:26.000Z | [
"pytorch",
"marian",
"text2text-generation",
"tll",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tll-fi | 10 | null | transformers | 11,526 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-tll-fi
* source languages: tll
* target languages: fi
* OPUS readme: [tll-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tll-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-toi-fi | db07f7eb3dba7c694bb22b25b73255a88b63f801 | 2021-09-11T10:49:17.000Z | [
"pytorch",
"marian",
"text2text-generation",
"toi",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-toi-fi | 10 | null | transformers | 11,527 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-toi-fi
* source languages: toi
* target languages: fi
* OPUS readme: [toi-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/toi-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-toi-fr | d7a461058f800c6ac29a3b7fe6a0e28996de999b | 2021-09-11T10:49:20.000Z | [
"pytorch",
"marian",
"text2text-generation",
"toi",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-toi-fr | 10 | null | transformers | 11,528 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-toi-fr
* source languages: toi
* target languages: fr
* OPUS readme: [toi-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/toi-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-tpi-sv | d0d216865b2c4453fe2a808ad27e18d1e5ca837c | 2021-09-11T10:49:31.000Z | [
"pytorch",
"marian",
"text2text-generation",
"tpi",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tpi-sv | 10 | null | transformers | 11,529 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-tpi-sv
* source languages: tpi
* target languages: sv
* OPUS readme: [tpi-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tpi-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-ts-sv | 78a6b6239f0eadd655e7fb7422a45f0bfb366546 | 2021-09-11T10:50:04.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ts",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ts-sv | 10 | null | transformers | 11,530 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ts-sv
* source languages: ts
* target languages: sv
* OPUS readme: [ts-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ts-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-tvl-es | 197469fa64475e4a3b739029520b04f620e2ea63 | 2021-09-11T10:50:25.000Z | [
"pytorch",
"marian",
"text2text-generation",
"tvl",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tvl-es | 10 | null | transformers | 11,531 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-tvl-es
* source languages: tvl
* target languages: es
* OPUS readme: [tvl-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tvl-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-ty-fr | 61b8a458936fa62d85b4cb3ad00046ec4dd1d876 | 2021-09-11T10:51:02.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ty",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ty-fr | 10 | null | transformers | 11,532 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ty-fr
* source languages: ty
* target languages: fr
* OPUS readme: [ty-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ty-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-wls-sv | 012ca81a2882b73e06e7f552611d28a7bcfe1bcf | 2021-09-11T10:52:16.000Z | [
"pytorch",
"marian",
"text2text-generation",
"wls",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-wls-sv | 10 | null | transformers | 11,533 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-wls-sv
* source languages: wls
* target languages: sv
* OPUS readme: [wls-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/wls-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Herais/pred_genre | ec5f0318f7519e4b73c4915a0bd32a5a805c37d8 | 2022-02-27T05:26:29.000Z | [
"pytorch",
"bert",
"text-classification",
"zh",
"dataset:Custom",
"transformers",
"classification",
"license:apache-2.0"
] | text-classification | false | Herais | null | Herais/pred_genre | 10 | null | transformers | 11,534 | ---
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-be... |
Intel/bert-large-uncased-squadv1.1-sparse-90-unstructured | 056596aaf8ad1bb9844169dbabbfb5c723d36b71 | 2021-12-05T13:31:53.000Z | [
"pytorch",
"tf",
"bert",
"question-answering",
"en",
"arxiv:2111.05754",
"transformers",
"autotrain_compatible"
] | question-answering | false | Intel | null | Intel/bert-large-uncased-squadv1.1-sparse-90-unstructured | 10 | null | transformers | 11,535 | ---
language: en
---
# 90% Sparse BERT-Large (uncased) Fine Tuned on SQuADv1.1
This model is a result of fine-tuning a Prune OFA 90% sparse pre-trained BERT-Large combined with knowledge distillation.
This model yields the following results on SQuADv1.1 development set:<br>
`{"exact_match": 83.56669820245979, "f1": 90.... |
ItcastAI/bert_finetuning_test | 00861c609c1f72d8f14f0dfdfaf0fe2206330005 | 2021-05-18T21:12:26.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | ItcastAI | null | ItcastAI/bert_finetuning_test | 10 | null | transformers | 11,536 | Entry not found |
JIWON/bert-base-finetuned-nli | a67fa4db674f8d398db3b018608b72978c997968 | 2022-02-07T00:29:00.000Z | [
"pytorch",
"bert",
"text-classification",
"dataset:klue",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | JIWON | null | JIWON/bert-base-finetuned-nli | 10 | null | transformers | 11,537 | ---
tags:
- generated_from_trainer
datasets:
- klue
metrics:
- accuracy
model-index:
- name: bert-base-finetuned-nli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: klue
type: klue
args: nli
metrics:
- name: Accuracy
type: accuracy
... |
LysandreJik/test-upload1 | 135b14e62bd062e7a2ccf68baef20f4e66e670e1 | 2022-01-28T23:09:48.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | LysandreJik | null | LysandreJik/test-upload1 | 10 | null | transformers | 11,538 | Entry not found |
JuliusAlphonso/dear-jarvis-v5 | 3c40ddbc89448888911bcd168fdd2b691072dcf3 | 2021-06-20T06:59:43.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers",
"license:apache-2.0"
] | text-classification | false | JuliusAlphonso | null | JuliusAlphonso/dear-jarvis-v5 | 10 | null | transformers | 11,539 | ---
license: apache-2.0
datasets:
- null
model_index:
- name: dear-jarvis-v5
results:
- task:
name: Text Classification
type: text-classification
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete ... |
Keqipig/DialoGPT-small-spamton | da31e6713d373d0936ee617ac92ae08a47d79a6d | 2022-01-03T22:32:22.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Keqipig | null | Keqipig/DialoGPT-small-spamton | 10 | null | transformers | 11,540 | ---
tags:
- conversational
---
@ Spamton G. Spamton DialoGPT Model |
Khanh/bert-base-multilingual-cased-finetuned-squad | 30561a865c943b7fcfb3680731a3e2ef3d816fd8 | 2022-01-04T14:51:33.000Z | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | Khanh | null | Khanh/bert-base-multilingual-cased-finetuned-squad | 10 | null | transformers | 11,541 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert-base-multilingual-cased-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this commen... |
Kithogue/T5_Question_Generation | 4787357045e77830cef7e03b8ca28f6c937a7bdf | 2021-12-05T15:05:13.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Kithogue | null | Kithogue/T5_Question_Generation | 10 | null | transformers | 11,542 | T5-base fine-tuned on SQuAD and CoQA datasets for question generation
language:
- en-us
tags:
- question-generation
license:
- MIT
datasets:
- SQuAD 2.0
- CoQA |
KoichiYasuoka/roberta-large-japanese-aozora-char | ac5b863772f16bc0390bee4519d53d32551a2dd6 | 2022-06-22T01:22:43.000Z | [
"pytorch",
"roberta",
"fill-mask",
"ja",
"transformers",
"japanese",
"masked-lm",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | fill-mask | false | KoichiYasuoka | null | KoichiYasuoka/roberta-large-japanese-aozora-char | 10 | null | transformers | 11,543 | ---
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-large-japanese-aozora-char
## Model Description
This is a RoBERTa model pre-trained on 青空文庫 texts with character tokenizer. You can fine-tu... |
LoudlySoft/scibert_scivocab_uncased_squad | 868a1bbceb58647ba779031db0a4f491268abbab | 2021-05-18T21:28:54.000Z | [
"pytorch",
"jax",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | LoudlySoft | null | LoudlySoft/scibert_scivocab_uncased_squad | 10 | null | transformers | 11,544 | ## AllenAI's <i>scibert_scivocab_uncased</i> fine-tuned on SQuAD 2.0 evaluated with F1 = 86.85
#### To load the model:
```
from transformers import BertTokenizerFast
from transformers import BertForQuestionAnswering
tokenizer = BertTokenizerFast.from_pretrained("LoudlySoft/scibert_scivocab_uncased_squad")
model = B... |
Maaly/bgc-accession | 971d9914caeb45ec4b517f8d7735c6f0cc004ad5 | 2022-05-28T15:34:44.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Maaly | null | Maaly/bgc-accession | 10 | null | transformers | 11,545 | bgc-accession model is a Named Entity Recognition (NER) model that identifies and annotates the accession number of biosynthetic gene clusters in texts.
The model is a fine-tuned BioBERT model and the training dataset is available in https://gitlab.com/maaly7/emerald_bgcs_annotations
Testing examples:
1. The genom... |
Media1129/keyword-tag-model-2000-9-16 | 220e61e0b7590ac850ad5e69d0feee0d3d9b7952 | 2021-09-16T16:51:08.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Media1129 | null | Media1129/keyword-tag-model-2000-9-16 | 10 | null | transformers | 11,546 | Entry not found |
Media1129/keyword-tag-model-2000-9-16_more_ingredient | 8a05e959a6ed4537e713f0acd76220bd9ae09e0c | 2021-09-17T01:50:36.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Media1129 | null | Media1129/keyword-tag-model-2000-9-16_more_ingredient | 10 | null | transformers | 11,547 | Entry not found |
MiBo/SADistilGPT2 | ffcc7a387e9941fd4168241153e684c3da508bf2 | 2021-07-06T23:31:25.000Z | [
"pytorch",
"gpt2",
"text-classification",
"transformers"
] | text-classification | false | MiBo | null | MiBo/SADistilGPT2 | 10 | null | transformers | 11,548 | Entry not found |
MilkyLatte/q-g-model | 99ee4086d2f096b3ee9267abf6a3f5e7a381b94b | 2021-06-23T03:19:25.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | MilkyLatte | null | MilkyLatte/q-g-model | 10 | null | transformers | 11,549 | Entry not found |
MoritzLaurer/MiniLM-L6-mnli-binary | dcf5730f33554768ee718c26a94ae31afbe6583e | 2021-12-13T10:37:22.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"transformers",
"zero-shot-classification"
] | text-classification | false | MoritzLaurer | null | MoritzLaurer/MiniLM-L6-mnli-binary | 10 | null | transformers | 11,550 | ---
language:
- en
tags:
- text-classification
- zero-shot-classification
metrics:
- accuracy
widget:
- text: "I liked the movie. [SEP] The movie was good."
---
# MiniLM-L6-mnli-binary
## Model description
This model was trained on the [MultiNLI](https://huggingface.co/datasets/multi_nli) dataset. The model was train... |
Muennighoff/SBERT-large-nli-v2 | 9bcc1af97540b7799b2e42f10e4f926d7aea7011 | 2022-02-21T06:16:23.000Z | [
"pytorch",
"bert",
"feature-extraction",
"arxiv:2202.08904",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | Muennighoff | null | Muennighoff/SBERT-large-nli-v2 | 10 | null | sentence-transformers | 11,551 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# SBERT-large-nli-v2
## Usage
For usage instructions, refer to our codebase: https://github.com/Muennighoff/sgpt
## Evaluation Results
For eval results, refer to our paper: https://arx... |
NDugar/v3large-1epoch | 7f9e5b4db644007b9a84739961ee40d0b4c7c2ff | 2021-12-06T20:04:26.000Z | [
"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/v3large-1epoch | 10 | null | transformers | 11,552 | ---
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... |
NamPE/DialoGPT-medium-Aqua-konosuba | 57912f57fd281aac354d9abcd52bb0fc626fb26c | 2022-01-01T16:35:11.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | NamPE | null | NamPE/DialoGPT-medium-Aqua-konosuba | 10 | null | transformers | 11,553 | ---
tags:
- conversational
---
# Aqua from Konosuba DialoGPT Model |
NbAiLab/roberta_jan_128_ncc | c2f407263c11c2837aa33f87b146123efb55103c | 2022-02-04T09:42:27.000Z | [
"pytorch",
"jax",
"tensorboard",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | NbAiLab | null | NbAiLab/roberta_jan_128_ncc | 10 | null | transformers | 11,554 | Entry not found |
Nehc/adpatres | f708fa11f6bf438d7fb8c60169a6d1a30208abac | 2021-10-21T05:40:20.000Z | [
"pytorch",
"gpt2",
"text-generation",
"ru",
"transformers"
] | text-generation | false | Nehc | null | Nehc/adpatres | 10 | null | transformers | 11,555 | ---
language:
- ru
widget:
- text: "Смерти нет, "
---
not for use...
technical data |
PolyakovMaxim/ModelGptTS | 6633a3616cfaf091a1f4e51668e6aa10e03d6f8b | 2021-11-01T11:46:06.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | PolyakovMaxim | null | PolyakovMaxim/ModelGptTS | 10 | null | transformers | 11,556 | This model generate the time shift's text of Norbit Company also generate the same ending of the textes of any phrases like base gpt model. |
Pyke/bart-finetuned-on-patent-Deepspeed-DS-1 | 7ac216e4a3164420146f1c033bcea119d8edcbe3 | 2021-08-18T02:33:27.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Pyke | null | Pyke/bart-finetuned-on-patent-Deepspeed-DS-1 | 10 | null | transformers | 11,557 | Entry not found |
Ratul/sci_ner | c027061cf895977933767becc4fefc351952f2be | 2021-06-01T08:48:27.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Ratul | null | Ratul/sci_ner | 10 | null | transformers | 11,558 | Entry not found |
Rostlab/prot_electra_generator_bfd | 7095cb2c0d0689c589dfb2e4dddc4e39ffe4f7dc | 2020-12-18T20:15:23.000Z | [
"pytorch",
"electra",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Rostlab | null | Rostlab/prot_electra_generator_bfd | 10 | null | transformers | 11,559 | Entry not found |
RuudVelo/wav2vec2-large-xls-r-1b-nl-lm | a18038591d57e6ca83ca8662246f83f03d4eefde | 2022-03-24T11:55:12.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"nl",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"mozilla-foundation/common_voice_8_0",
"generated_from_trainer",
"robust-speech-event",
"model_for_talk",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | RuudVelo | null | RuudVelo/wav2vec2-large-xls-r-1b-nl-lm | 10 | null | transformers | 11,560 | ---
language:
- nl
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
- nl
- robust-speech-event
- model_for_talk
- hf-asr-leaderboard
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: wav2vec2-large-xls-r-1b-nl-lm
results:
- ta... |
SEBIS/code_trans_t5_base_code_documentation_generation_java_transfer_learning_finetune | 14b0317974f9b7eeee4b71b1d5563d38829a3238 | 2021-06-23T04:26:33.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_base_code_documentation_generation_java_transfer_learning_finetune | 10 | null | transformers | 11,561 | ---
tags:
- summarization
widget:
- text: "public static < T , U > Function < T , U > castFunction ( Class < U > target ) { return new CastToClass < T , U > ( target ) ; }"
---
# CodeTrans model for code documentation generation java
Pretrained model on programming language java using the t5 base model architecture... |
SEBIS/code_trans_t5_large_commit_generation_transfer_learning_finetune | 7e1a54dc9be62a8b0cf15b13ba5a582be3e7138f | 2021-06-23T08:34:21.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_large_commit_generation_transfer_learning_finetune | 10 | null | transformers | 11,562 | ---
tags:
- summarization
widget:
- text: "new file mode 100644 index 000000000 . . 892fda21b Binary files / dev / null and b / src / plugins / gateway / lib / joscar . jar differ"
---
# CodeTrans model for git commit message generation
Pretrained model on git commit using the t5 large model architecture. It was fir... |
SEBIS/legal_t5_small_trans_en_it_small_finetuned | 77357a9844444db58ac01b6364f14f27969fb9b9 | 2021-06-23T09:39:10.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"English Italian",
"dataset:dcep europarl jrc-acquis",
"transformers",
"translation English Italian model",
"autotrain_compatible"
] | text2text-generation | false | SEBIS | null | SEBIS/legal_t5_small_trans_en_it_small_finetuned | 10 | null | transformers | 11,563 |
---
language: English Italian
tags:
- translation English Italian model
datasets:
- dcep europarl jrc-acquis
widget:
- text: "Preventing and combating trafficking in human beings, and protecting victims"
---
# legal_t5_small_trans_en_it_small_finetuned model
Model on translating legal text from English to Italia... |
Saitomar/wav2vec2-large-xls-r-300m-bengali-kaggle | de14db5614b8ec36cac09245db1f4c3be4700bb4 | 2022-02-07T09:16:26.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | Saitomar | null | Saitomar/wav2vec2-large-xls-r-300m-bengali-kaggle | 10 | null | transformers | 11,564 | Entry not found |
SetFit/deberta-v3-large__sst2__train-16-5 | 9abc4039f0cc7cb738f1c19f05e22da14559db12 | 2022-02-10T10:56:06.000Z | [
"pytorch",
"deberta-v2",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | SetFit | null | SetFit/deberta-v3-large__sst2__train-16-5 | 10 | null | transformers | 11,565 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deberta-v3-large__sst2__train-16-5
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... |
Shahm/bert-court-german | 728f04d15772c44f46ebcbd98eb94af26cbb218c | 2021-12-31T21:21:47.000Z | [
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | fill-mask | false | Shahm | null | Shahm/bert-court-german | 10 | null | transformers | 11,566 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: plus-bert-court-90k-end-german
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. -->
# plus-bert-c... |
Shauli/RE-metric-model-spike | 31394bf0fe472b4ac5e49d85a8d16d0c8fdd85ed | 2021-05-18T22:36:05.000Z | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | Shauli | null | Shauli/RE-metric-model-spike | 10 | null | transformers | 11,567 | Entry not found |
Spirax/DialoGPT-medium-sheldon | eed9e6ee5e919321c64bc4799444637d26f2a5e4 | 2021-07-21T21:03:00.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational",
"license:mit"
] | conversational | false | Spirax | null | Spirax/DialoGPT-medium-sheldon | 10 | null | transformers | 11,568 | ---
thumbnail: https://i.imgur.com/7HAcbbD.gif
tags:
- conversational
license: mit
---
# DialoGPT Trained on the Speech of a TV Series Character
This is an instance of [microsoft/DialoGPT-medium](https://huggingface.co/microsoft/DialoGPT-medium) trained on a TV series character, Sheldon from [The Big Bang Theory... |
StevenLimcorn/indo-roberta-indonli | 638a50452c733bf4c77c9e81a51cc9ce5d998e63 | 2021-11-11T09:03:59.000Z | [
"pytorch",
"tf",
"roberta",
"text-classification",
"id",
"dataset:indonli",
"transformers",
"license:mit"
] | text-classification | false | StevenLimcorn | null | StevenLimcorn/indo-roberta-indonli | 10 | null | transformers | 11,569 | ---
language: id
tags:
- roberta
license: mit
datasets:
- indonli
widget:
- text: "Amir Sjarifoeddin Harahap lahir di Kota Medan, Sumatera Utara, 27 April 1907. Ia meninggal di Surakarta, Jawa Tengah, pada 19 Desember 1948 dalam usia 41 tahun. </s></s> Amir Sjarifoeddin Harahap masih hidup."
---
## Indo-roberta-indonl... |
ThaiUWA/gpt-2-josh-uwa | 2af0d04808c741c2738d5162f11b682bf4b1014e | 2021-05-21T11:18:58.000Z | [
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | ThaiUWA | null | ThaiUWA/gpt-2-josh-uwa | 10 | null | transformers | 11,570 | Entry not found |
Xenova/sponsorblock-base-v1.1 | 1850c9dc36b7f10adf0447a8e58f497dec710517 | 2022-02-12T22:04:42.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Xenova | null | Xenova/sponsorblock-base-v1.1 | 10 | 1 | transformers | 11,571 | Entry not found |
Xeouz/Ultron-Small | c93a401050d43034d807ad87d7e273695837ee6e | 2021-10-09T08:22:19.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Xeouz | null | Xeouz/Ultron-Small | 10 | null | transformers | 11,572 | ---
tags:
- conversational
---
# Ultron Small |
ZYW/squad-mbert-model | cbfb2a0a0e99f04d6d24c680c2057c4f2ef8158a | 2021-05-30T15:15:53.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"model-index",
"autotrain_compatible"
] | question-answering | false | ZYW | null | ZYW/squad-mbert-model | 10 | null | transformers | 11,573 | ---
model-index:
- name: squad-mbert-model
---
<!-- 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. -->
# squad-mbert-model
This model was trained from scratch on an unkown dataset.
## ... |
ZiweiG/ziwei-bertimdb-prob | 109776a72df5189f198a10bdd7b79f083a0819cf | 2021-05-18T22:53:05.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | ZiweiG | null | ZiweiG/ziwei-bertimdb-prob | 10 | null | transformers | 11,574 | Entry not found |
aXhyra/demo_sentiment_42 | 44d52a07515bf5c860ed9b512b5511d9dd5c4a54 | 2021-12-13T22:41:49.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:tweet_eval",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | aXhyra | null | aXhyra/demo_sentiment_42 | 10 | null | transformers | 11,575 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: demo_sentiment_42
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: sentiment
metrics:
- name... |
aXhyra/irony_trained_final | f176d328c63a97ca4a3b542efd79d33236e9cb2a | 2021-12-12T10:28:16.000Z | [
"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_final | 10 | null | transformers | 11,576 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: irony_trained_final
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: irony
metrics:
- name: ... |
aXhyra/presentation_emotion_42 | 4404d8e9173083ccf1e43fbd242a6a40654b6e13 | 2021-12-15T10:36:30.000Z | [
"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_42 | 10 | null | transformers | 11,577 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: presentation_emotion_42
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: emotion
metrics:
- ... |
abhiramtirumala/DialoGPT-sarcastic-medium | 7b88eb0aec7fc096164d3dc80d54ff95bdfc6304 | 2021-05-27T21:33:38.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | abhiramtirumala | null | abhiramtirumala/DialoGPT-sarcastic-medium | 10 | null | transformers | 11,578 | Entry not found |
abhishek/autonlp-hindi-question-answering-23865268 | f134199adaa376a2051bd6e6f8251fbeb53ba623 | 2021-10-21T13:51:44.000Z | [
"pytorch",
"xlm-roberta",
"question-answering",
"hi",
"dataset:abhishek/autonlp-data-hindi-question-answering",
"transformers",
"autonlp",
"co2_eq_emissions",
"autotrain_compatible"
] | question-answering | false | abhishek | null | abhishek/autonlp-hindi-question-answering-23865268 | 10 | 3 | transformers | 11,579 | ---
tags:
- autonlp
- question-answering
language: hi
widget:
- text: "´सतीश धवन अंतरिक्ष केंद्र´ किस राज्य में स्थित है?"
context: "सतीश धवन अंतरिक्ष केंद्र, भारतीय अंतरिक्ष अनुसंधान संगठन (इसरो) का प्रक्षेपण केंद्र है। यह आंध्र प्रदेश के श्रीहरीकोटा में स्थित है, इसे 'श्रीहरीकोटा रेंज' या 'श्रीहरीकोटा लाँचिंग रेंज'... |
adamlin/ml999_matal_bed | db0898faa751675a3c1022a9c9beda7c0f1b4b22 | 2021-12-20T16:47:36.000Z | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | false | adamlin | null | adamlin/ml999_matal_bed | 10 | null | transformers | 11,580 | Entry not found |
adamlin/ml999_power_punching_and_shearing_machinery | bf92562d8257c28fa68fbb4e307be32ece7d0cc0 | 2021-12-20T16:54:51.000Z | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | false | adamlin | null | adamlin/ml999_power_punching_and_shearing_machinery | 10 | null | transformers | 11,581 | Entry not found |
adamlin/ml999_power_stacker | 006c65e31658d3a701a9343856d70156d2256045 | 2021-12-20T16:53:28.000Z | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | false | adamlin | null | adamlin/ml999_power_stacker | 10 | null | transformers | 11,582 | Entry not found |
addy88/perceiver_imdb | b6bc811da897db11ab1c5ef848069cf8e625a511 | 2022-01-02T11:20:07.000Z | [
"pytorch",
"perceiver",
"text-classification",
"transformers"
] | text-classification | false | addy88 | null | addy88/perceiver_imdb | 10 | null | transformers | 11,583 | ### How to use
Here is how to use this model in PyTorch:
```python
from transformers import PerceiverTokenizer, PerceiverForMaskedLM
tokenizer = PerceiverTokenizer.from_pretrained("addy88/perceiver_imdb")
model = PerceiverForMaskedLM.from_pretrained("addy88/perceiver_imdb")
text = "This is an incomplete sentence where ... |
airKlizz/bart-large-multi-fr-wiki-news | 35aa402131777752ca87afdd426ba9b515cab5b0 | 2021-10-17T20:10:41.000Z | [
"pytorch",
"bart",
"text2text-generation",
"fr",
"transformers",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | airKlizz | null | airKlizz/bart-large-multi-fr-wiki-news | 10 | null | transformers | 11,584 | ---
language: fr
license: mit
---
|
airKlizz/mt5-base-wikinewssum-german | fb4cd1036751a47f10c7a5d8e15d72fe7c604896 | 2021-12-25T15:13:41.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | airKlizz | null | airKlizz/mt5-base-wikinewssum-german | 10 | null | transformers | 11,585 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-base-wikinewssum-german
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... |
akahana/indonesia-sentiment-roberta | 5bbecef6101e5a5c3f4f4f5d1a72ee7653a5da1a | 2021-12-07T04:26:11.000Z | [
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"id",
"transformers"
] | text-classification | false | akahana | null | akahana/indonesia-sentiment-roberta | 10 | null | transformers | 11,586 | ---
language: "id"
widget:
- text: "dia orang yang baik ya bunds."
---
## how to use
```python
from transformers import pipeline, set_seed
path = "akahana/indonesia-sentiment-roberta"
emotion = pipeline('text-classification',
model=path,device=0)
set_seed(42)
kalimat = "dia orang yang baik ya ... |
akdeniz27/convbert-base-turkish-cased-ner | f23c5c89ed519c6970942119fb97a6a966d4a0ba | 2021-09-15T17:02:16.000Z | [
"pytorch",
"convbert",
"token-classification",
"tr",
"arxiv:2008.02496",
"transformers",
"autotrain_compatible"
] | token-classification | false | akdeniz27 | null | akdeniz27/convbert-base-turkish-cased-ner | 10 | null | transformers | 11,587 | ---
language: tr
widget:
- text: "Almanya, koronavirüs aşısını geliştiren Dr. Özlem Türeci ve eşi Prof. Dr. Uğur Şahin'e liyakat nişanı verdi"
---
# Turkish Named Entity Recognition (NER) Model
This model is the fine-tuned model of dbmdz/convbert-base-turkish-cased (ConvBERTurk)
using a reviewed version of well known T... |
alireza7/PEGASUS-persian-base-wiki-summary | 8a1f0e3d8d17d3be154856d3d31ec27501e00af6 | 2021-09-29T19:26:15.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | alireza7 | null | alireza7/PEGASUS-persian-base-wiki-summary | 10 | null | transformers | 11,588 | More information about models is available [here](https://github.com/alirezasalemi7/ARMAN). |
allenai/dsp_roberta_base_dapt_biomed_tapt_rct_500 | 5be845b8cab84d67dc3ccf8d9d7ffd5aceea445c | 2021-05-20T13:07:27.000Z | [
"pytorch",
"jax",
"roberta",
"transformers"
] | null | false | allenai | null | allenai/dsp_roberta_base_dapt_biomed_tapt_rct_500 | 10 | 1 | transformers | 11,589 | Entry not found |
aloxatel/KS8 | 95c7a7cb2324822fee5bb1409c6145ce57245593 | 2021-05-20T13:52:21.000Z | [
"pytorch",
"jax",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | aloxatel | null | aloxatel/KS8 | 10 | null | transformers | 11,590 | Entry not found |
am4nsolanki/autonlp-text-hateful-memes-36789092 | 91900b9a7bc52ba53cb9d3fc1e61a2350d30bfba | 2021-11-28T22:35:30.000Z | [
"pytorch",
"distilbert",
"text-classification",
"en",
"dataset:am4nsolanki/autonlp-data-text-hateful-memes",
"transformers",
"autonlp",
"co2_eq_emissions"
] | text-classification | false | am4nsolanki | null | am4nsolanki/autonlp-text-hateful-memes-36789092 | 10 | 1 | transformers | 11,591 | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- am4nsolanki/autonlp-data-text-hateful-memes
co2_eq_emissions: 1.4280361775467445
---
# Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 36789092
- CO2 Emissions (in grams): 1.4280361775467445
## Validation Met... |
amoux/scibert_nli_squad | 1cf47b25d327491436d6aaf0d151ee671ae2cc8a | 2021-05-18T23:36:56.000Z | [
"pytorch",
"jax",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | amoux | null | amoux/scibert_nli_squad | 10 | null | transformers | 11,592 | Entry not found |
andi611/distilbert-base-uncased-ner-conll2003 | 3a0d1d69958cfedaa289da6e2c1e134958d42ba9 | 2021-07-03T13:08:00.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | andi611 | null | andi611/distilbert-base-uncased-ner-conll2003 | 10 | null | transformers | 11,593 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model_index:
- name: distilbert-base-uncased-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
... |
annafavaro/distilbert-base-uncased-finetuned-cola | 3bf191f85e4e0159a0c039ddd00f5a2afc3e877d | 2021-12-01T05:13:59.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | annafavaro | null | annafavaro/distilbert-base-uncased-finetuned-cola | 10 | null | transformers | 11,594 | Entry not found |
anton-l/wav2vec2-large-xlsr-53-kyrgyz | 6b67fd3e70ce4e0d40d2a6cc98a84c3272b24d65 | 2021-07-05T19:53:54.000Z | [
"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 | anton-l | null | anton-l/wav2vec2-large-xlsr-53-kyrgyz | 10 | null | transformers | 11,595 | ---
language: ky
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Kyrgyz XLSR Wav2Vec2 Large 53 by Anton Lozhkov
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
... |
anukaver/xlm-roberta-est-qa | 31a799247a6af5dd3e476afd6c71a148d1edb280 | 2021-04-27T10:47:18.000Z | [
"pytorch",
"xlm-roberta",
"question-answering",
"dataset:squad",
"dataset:anukaver/EstQA",
"transformers",
"autotrain_compatible"
] | question-answering | false | anukaver | null | anukaver/xlm-roberta-est-qa | 10 | null | transformers | 11,596 | ---
tags:
- question-answering
datasets:
- squad
- anukaver/EstQA
---
# Question answering model for Estonian
This is a question answering model based on XLM-Roberta base model. It is fine-tuned subsequentially on:
1. English SQuAD v1.1
2. SQuAD v1.1 translated into Estonian
3. Small native Estonian dataset (800 samp... |
arampacha/clip-rsicd-v5 | fd7394456f27c25b97def109edcadd8e3b92ce8b | 2021-07-17T09:59:40.000Z | [
"pytorch",
"jax",
"clip",
"feature-extraction",
"transformers"
] | feature-extraction | false | arampacha | null | arampacha/clip-rsicd-v5 | 10 | null | transformers | 11,597 | Entry not found |
arnolfokam/bert-base-uncased-pcm | 5cfa0dd8e8d571a3940fc48d14bd539567fb7b83 | 2021-11-24T21:14:03.000Z | [
"pytorch",
"bert",
"token-classification",
"pcm",
"dataset:masakhaner",
"transformers",
"NER",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | arnolfokam | null | arnolfokam/bert-base-uncased-pcm | 10 | null | transformers | 11,598 | ---
language:
- pcm
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
license: apache-2.0
widget:
- text: "Mixed Martial Arts joinbodi, Ultimate Fighting Championship, UFC don decide say dem go enta back di octagon on Saturday, 9 May, for Jacksonville, Florida."
---
# Model description
**bert-base... |
arnolfokam/mbert-base-uncased-ner-swa | f8e792125e11fd54585043957eb9107472ea2ce1 | 2021-11-24T11:31:30.000Z | [
"pytorch",
"bert",
"token-classification",
"swa",
"dataset:masakhaner",
"transformers",
"NER",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | arnolfokam | null | arnolfokam/mbert-base-uncased-ner-swa | 10 | null | transformers | 11,599 | ---
language:
- swa
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
license: apache-2.0
widget:
- text: "Wizara ya afya ya Tanzania imeripoti Jumatatu kuwa, watu takriban 14 zaidi wamepata maambukizi ya Covid-19."
---
# Model description
**mbert-base-uncased-ner-swa** is a model based on the fin... |
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