modelId stringlengths 4 81 | tags list | pipeline_tag stringclasses 17
values | config dict | downloads int64 0 59.7M | first_commit timestamp[ns, tz=UTC] | card stringlengths 51 438k | embedding list |
|---|---|---|---|---|---|---|---|
Declan/Independent__model | [] | null | {
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"num_beams... | 0 | 2020-04-29T13:23:54Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-mt-sv
* source languages: mt
* target languages: sv
* OPUS readme: [mt-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mt-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
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Declan/NPR_model_v1 | [
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"no_repeat_ngram_size... | 3 | 2020-08-19T00:30:48Z | ---
language:
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Declan/NPR_model_v2 | [
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"no_repeat_ngram_size... | 7 | 2020-04-29T13:24:09Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ng-en
* source languages: ng
* target languages: en
* OPUS readme: [ng-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ng-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
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Declan/NPR_model_v3 | [
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language:
- sn
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tags:
- translation
license: apache-2.0
---
### nic-eng
* source group: Niger-Kordofanian languages
* target group: English
* OPUS readme: [nic-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models... | [
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Declan/NPR_model_v4 | [
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"no_repeat_ngram_size... | 3 | 2020-04-29T13:24:23Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-niu-de
* source languages: niu
* target languages: de
* OPUS readme: [niu-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/niu-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
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Declan/NPR_model_v5 | [
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"no_repeat_ngram_size... | 7 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-niu-en
* source languages: niu
* target languages: en
* OPUS readme: [niu-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/niu-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
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Declan/NPR_model_v6 | [
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"no_repeat_ngram_size... | 3 | 2020-04-29T13:25:02Z | ---
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... | [
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Declan/NPR_model_v8 | [
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"no_repeat_ngram_size... | 3 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-niu-fi
* source languages: niu
* target languages: fi
* OPUS readme: [niu-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/niu-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
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Declan/NewYorkPost_model_v1 | [] | null | {
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"num_beams... | 0 | 2020-04-29T13:25:45Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-niu-fr
* source languages: niu
* target languages: fr
* OPUS readme: [niu-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/niu-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
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Declan/NewYorkTimes_model_v1 | [] | null | {
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tags:
- translation
license: apache-2.0
---
### opus-mt-niu-sv
* source languages: niu
* target languages: sv
* OPUS readme: [niu-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/niu-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
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Declan/NewYorkTimes_model_v2 | [
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"transformers",
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"no_repeat_ngram_size... | 7 | 2020-08-19T00:30:56Z | ---
language:
- nl
- af
tags:
- translation
license: apache-2.0
---
### nld-afr
* source group: Dutch
* target group: Afrikaans
* OPUS readme: [nld-afr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-afr/README.md)
* model: transformer-align
* source language(s): nld
* target languag... | [
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Declan/NewYorkTimes_model_v3 | [] | null | {
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"num_beams... | 0 | null | ---
language:
- nl
- ca
tags:
- translation
license: apache-2.0
---
### nld-cat
* source group: Dutch
* target group: Catalan
* OPUS readme: [nld-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-cat/README.md)
* model: transformer-align
* source language(s): nld
* target language(... | [
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Declan/NewYorkTimes_model_v4 | [] | null | {
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"num_beams... | 0 | 2020-04-29T13:26:09Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-nl-en
* source languages: nl
* target languages: en
* OPUS readme: [nl-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nl-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
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Declan/NewYorkTimes_model_v6 | [
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"no_repeat_ngram_size... | 5 | null | ---
language:
- nl
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tags:
- translation
license: apache-2.0
---
### nld-epo
* source group: Dutch
* target group: Esperanto
* OPUS readme: [nld-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-epo/README.md)
* model: transformer-align
* source language(s): nld
* target languag... | [
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Declan/NewYorkTimes_model_v8 | [
"pytorch",
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"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 3 | null | ---
tags:
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license: apache-2.0
---
### opus-mt-nl-es
* source languages: nl
* target languages: es
* OPUS readme: [nl-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nl-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
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Declan/Politico_model_v1 | [
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tags:
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license: apache-2.0
---
### opus-mt-nl-fi
* source languages: nl
* target languages: fi
* OPUS readme: [nl-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nl-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
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Declan/Politico_model_v2 | [
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"no_repeat_ngram_size... | 5 | null | ---
tags:
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license: apache-2.0
---
### opus-mt-nl-fr
* source languages: nl
* target languages: fr
* OPUS readme: [nl-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nl-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
-0.013367557898163795,
-0.031327251344919205,
-0.0068641165271401405,
0.03333158791065216,
0.02979978360235691,
0.022457381710410118,
-0.006649896968156099,
-0.007481626234948635,
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0.05263851583003998,
0.008845475502312183,
-0.012087211012840271,
-0.0031804360914975405,
... |
Declan/Politico_model_v3 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 5 | null | ---
language:
- nl
- no
tags:
- translation
license: apache-2.0
---
### nld-nor
* source group: Dutch
* target group: Norwegian
* OPUS readme: [nld-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-nor/README.md)
* model: transformer-align
* source language(s): nld
* target languag... | [
-0.005939009599387646,
-0.02441266179084778,
-0.008287610486149788,
0.03228762745857239,
0.04908674955368042,
0.01361771859228611,
-0.00927866343408823,
-0.008483870886266232,
-0.07245738804340363,
0.05994937941431999,
0.0046574948355555534,
-0.02704712189733982,
-0.009525666013360023,
0.0... |
Declan/Politico_model_v4 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | 2020-04-29T13:28:09Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-nl-sv
* source languages: nl
* target languages: sv
* OPUS readme: [nl-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nl-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
-0.016289792954921722,
-0.023790040984749794,
-0.0035062653478235006,
0.03614030405879021,
0.03270995244383812,
0.01854857988655567,
0.0015373462811112404,
-0.005628923885524273,
-0.04361562803387642,
0.0604434534907341,
0.008953502401709557,
-0.01569250039756298,
0.015485565178096294,
0.0... |
Declan/Politico_model_v5 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
language:
- nl
- uk
tags:
- translation
license: apache-2.0
---
### nld-ukr
* source group: Dutch
* target group: Ukrainian
* OPUS readme: [nld-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-ukr/README.md)
* model: transformer-align
* source language(s): nld
* target languag... | [
-0.003756140824407339,
-0.022210560739040375,
-0.009159567765891552,
0.0355551578104496,
0.05042152479290962,
0.019048944115638733,
-0.004685736261308193,
-0.008032298646867275,
-0.07157211750745773,
0.06256214529275894,
0.007703975308686495,
-0.023668302223086357,
-0.008174215443432331,
0... |
Declan/Politico_model_v6 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
language:
- no
- da
tags:
- translation
license: apache-2.0
---
### nor-dan
* source group: Norwegian
* target group: Danish
* OPUS readme: [nor-dan](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-dan/README.md)
* model: transformer-align
* source language(s): nno nob
* target la... | [
-0.0037233021575957537,
-0.026259953156113625,
-0.001711381832137704,
0.038611698895692825,
0.046390797942876816,
0.010916768573224545,
-0.008757166564464569,
-0.013993733562529087,
-0.07736072689294815,
0.05622780695557594,
0.008044052869081497,
-0.027441181242465973,
-0.014674975536763668,... |
Declan/Politico_model_v8 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | 2020-08-19T00:31:15Z | ---
language:
- no
- de
tags:
- translation
license: apache-2.0
---
### nor-deu
* source group: Norwegian
* target group: German
* OPUS readme: [nor-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-deu/README.md)
* model: transformer-align
* source language(s): nno nob
* target la... | [
-0.0034642978571355343,
-0.028994202613830566,
-0.00792817771434784,
0.03348641097545624,
0.04195789620280266,
0.01805376075208187,
-0.01028008759021759,
-0.003376423381268978,
-0.07929584383964539,
0.06089841201901436,
0.007605806924402714,
-0.02438542991876602,
-0.014053188264369965,
0.0... |
Declan/Reuters_model_v1 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
language:
- no
- es
tags:
- translation
license: apache-2.0
---
### nor-spa
* source group: Norwegian
* target group: Spanish
* OPUS readme: [nor-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-spa/README.md)
* model: transformer-align
* source language(s): nno nob
* target l... | [
-0.0025055299047380686,
-0.028546111658215523,
-0.005699566565454006,
0.03552188724279404,
0.044638995081186295,
0.010674632154405117,
-0.0126752695068717,
0.0041550821624696255,
-0.07178249955177307,
0.05921526625752449,
-0.0006453240057453513,
-0.025140875950455666,
-0.013612005859613419,
... |
Declan/Reuters_model_v2 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 5 | null | ---
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... | [
-0.009593235328793526,
-0.030256548896431923,
-0.002132430672645569,
0.02512279525399208,
0.04425358399748802,
0.015154367312788963,
-0.014807484112679958,
-0.0005174665711820126,
-0.0878617987036705,
0.051943592727184296,
0.011893326416611671,
-0.022704970091581345,
-0.00968160666525364,
... |
Declan/Reuters_model_v3 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
language:
- no
- fr
tags:
- translation
license: apache-2.0
---
### nor-fra
* source group: Norwegian
* target group: French
* OPUS readme: [nor-fra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-fra/README.md)
* model: transformer-align
* source language(s): nno nob
* target la... | [
-0.0013806021306663752,
-0.030455846339464188,
-0.009131287224590778,
0.030219389125704765,
0.045629870146512985,
0.007673716638237238,
-0.015098812058568,
-0.004308507777750492,
-0.07427843660116196,
0.056586265563964844,
0.006161955185234547,
-0.021635927259922028,
-0.017154322937130928,
... |
Declan/Reuters_model_v4 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | 2020-08-19T00:31:41Z | ---
language:
- no
- nl
tags:
- translation
license: apache-2.0
---
### nor-nld
* source group: Norwegian
* target group: Dutch
* OPUS readme: [nor-nld](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-nld/README.md)
* model: transformer-align
* source language(s): nob
* target languag... | [
-0.006397186778485775,
-0.025105193257331848,
-0.010247600264847279,
0.031245924532413483,
0.047864895313978195,
0.013590848073363304,
-0.010316269472241402,
-0.008092471398413181,
-0.07038943469524384,
0.059435613453388214,
0.006256427615880966,
-0.024790816009044647,
-0.00840176921337843,
... |
Declan/Reuters_model_v5 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
language:
- no
tags:
- translation
license: apache-2.0
---
### nor-nor
* source group: Norwegian
* target group: Norwegian
* OPUS readme: [nor-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-nor/README.md)
* model: transformer-align
* source language(s): nno nob
* target lang... | [
-0.006793338339775801,
-0.023915767669677734,
-0.0057326992973685265,
0.04099337384104729,
0.045326631516218185,
0.013117528520524502,
-0.010858308523893356,
-0.00687261251732707,
-0.07427886873483658,
0.062143489718437195,
0.010794027708470821,
-0.025009609758853912,
-0.0124049698933959,
... |
Declan/Reuters_model_v6 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
language:
- no
- pl
tags:
- translation
license: apache-2.0
---
### nor-pol
* source group: Norwegian
* target group: Polish
* OPUS readme: [nor-pol](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-pol/README.md)
* model: transformer-align
* source language(s): nob
* target langua... | [
-0.008063632994890213,
-0.030731501057744026,
-0.011225390248000622,
0.03322196379303932,
0.04511459544301033,
0.008742723613977432,
-0.00583108002319932,
-0.0015263563254848123,
-0.08081722259521484,
0.060514118522405624,
0.014258925803005695,
-0.025654228404164314,
-0.020934555679559708,
... |
Declan/Reuters_model_v8 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
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... | [
-0.004866951145231724,
-0.031754523515701294,
-0.010692152194678783,
0.034637462347745895,
0.05090676620602608,
0.01738731376826763,
-0.01367071084678173,
-0.00590531388297677,
-0.08564648032188416,
0.059011783450841904,
0.01639915443956852,
-0.02606866881251335,
-0.011649020947515965,
0.0... |
Declan/WallStreetJournal_model_v1 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
language:
- no
- sv
tags:
- translation
license: apache-2.0
---
### nor-swe
* source group: Norwegian
* target group: Swedish
* OPUS readme: [nor-swe](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-swe/README.md)
* model: transformer-align
* source language(s): nno nob
* target l... | [
-0.0047042774967849255,
-0.027684565633535385,
-0.012066219002008438,
0.03303658962249756,
0.04356612265110016,
0.013943091034889221,
-0.012823216617107391,
-0.002338781487196684,
-0.07590147107839584,
0.06096922233700752,
0.008621709421277046,
-0.021824214607477188,
-0.009647670201957226,
... |
Declan/WallStreetJournal_model_v2 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
language:
- no
- uk
tags:
- translation
license: apache-2.0
---
### nor-ukr
* source group: Norwegian
* target group: Ukrainian
* OPUS readme: [nor-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-ukr/README.md)
* model: transformer-align
* source language(s): nob
* target lan... | [
-0.0020111529156565666,
-0.023189760744571686,
-0.005212053656578064,
0.038618724793195724,
0.04493231698870659,
0.012344416230916977,
-0.007739064283668995,
-0.004737725015729666,
-0.07976105809211731,
0.0632317066192627,
0.012378869578242302,
-0.022942328825592995,
-0.012279665097594261,
... |
Declan/WallStreetJournal_model_v3 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-nso-de
* source languages: nso
* target languages: de
* OPUS readme: [nso-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nso-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
-0.016437651589512825,
-0.03052113763988018,
-0.0030592274852097034,
0.03277765214443207,
0.02757256291806698,
0.024284256622195244,
-0.003556622425094247,
-0.00010406570800114423,
-0.05384734272956848,
0.057589657604694366,
0.011892163194715977,
-0.011746019124984741,
0.003475061384961009,
... |
Declan/WallStreetJournal_model_v4 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-nso-en
* source languages: nso
* target languages: en
* OPUS readme: [nso-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nso-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
-0.01659475639462471,
-0.0312497541308403,
-0.005377591121941805,
0.03367762640118599,
0.027331290766596794,
0.02095603570342064,
-0.0006992541020736098,
-0.0014065870782360435,
-0.05010896548628807,
0.05456961318850517,
0.012327395379543304,
-0.012065802700817585,
0.006860809400677681,
0.... |
Declan/WallStreetJournal_model_v5 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-nso-es
* source languages: nso
* target languages: es
* OPUS readme: [nso-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nso-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
-0.017321281135082245,
-0.03134017437696457,
0.00038755853893235326,
0.030756665393710136,
0.02888193540275097,
0.021100478246808052,
-0.0019410906825214624,
0.0010664100991562009,
-0.04704657569527626,
0.05295349657535553,
0.005833761300891638,
-0.011476745828986168,
0.006353678647428751,
... |
Declan/WallStreetJournal_model_v6 | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
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},
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"min_length": null,
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"num_beams... | 0 | 2020-04-29T13:29:03Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-nso-fi
* source languages: nso
* target languages: fi
* OPUS readme: [nso-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nso-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
-0.019492562860250473,
-0.03798802196979523,
0.0033833826892077923,
0.028897592797875404,
0.024960584938526154,
0.02192752994596958,
0.003770067123696208,
-0.001863514888100326,
-0.05351772904396057,
0.05016452074050903,
0.015173406340181828,
-0.008815486915409565,
0.008900830522179604,
0.... |
Declan/WallStreetJournal_model_v8 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | 2020-04-29T13:29:30Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-nso-fr
* source languages: nso
* target languages: fr
* OPUS readme: [nso-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nso-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
-0.015580405481159687,
-0.03371619060635567,
-0.01004526112228632,
0.03309284895658493,
0.026833780109882355,
0.01920827105641365,
-0.005476207006722689,
-0.004258340690284967,
-0.04835217818617821,
0.053671568632125854,
0.00969518069177866,
-0.008812270127236843,
-0.00048133142990991473,
... |
Declan/test_model | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
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},
"summarization": {
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"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | 2020-04-29T13:29:46Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-nso-sv
* source languages: nso
* target languages: sv
* OPUS readme: [nso-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nso-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
-0.018607040867209435,
-0.0320408008992672,
0.0006847323384135962,
0.030258480459451675,
0.02911803312599659,
0.016045663505792618,
0.0013913714792579412,
0.0008882306283339858,
-0.05132368579506874,
0.05434031784534454,
0.011348170228302479,
-0.010492131114006042,
0.013417387381196022,
0.... |
Declan/test_push | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
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},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ny-de
* source languages: ny
* target languages: de
* OPUS readme: [ny-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ny-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
-0.014410963281989098,
-0.024773305281996727,
-0.005875651724636555,
0.02875613607466221,
0.023922856897115707,
0.030070947483181953,
0.002536807442083955,
-0.007974709384143353,
-0.05336679890751839,
0.05775323137640953,
0.010895995423197746,
-0.0128201674669981,
0.007330256048589945,
0.0... |
DeepChem/ChemBERTa-5M-MLM | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"RobertaForMaskedLM"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngra... | 29 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-om-en
* source languages: om
* target languages: en
* OPUS readme: [om-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/om-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
-0.01934279128909111,
-0.025377899408340454,
-0.002584679052233696,
0.030236879363656044,
0.02697785757482052,
0.024054376408457756,
0.005378573201596737,
-0.0018659516936168075,
-0.04637248441576958,
0.05093495547771454,
0.01572311855852604,
-0.011801417917013168,
0.011899511329829693,
0.... |
DeepESP/gpt2-spanish-medium | [
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"es",
"dataset:ebooks",
"transformers",
"GPT-2",
"Spanish",
"ebooks",
"nlg",
"license:mit"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 340 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-pag-fi
* source languages: pag
* target languages: fi
* OPUS readme: [pag-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pag-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
-0.014024884440004826,
-0.03714059665799141,
0.0026832805015146732,
0.03056926466524601,
0.01879420131444931,
0.031069977208971977,
0.010323028080165386,
-0.00033207854721695185,
-0.049458231776952744,
0.05562502145767212,
0.019670572131872177,
-0.006326952949166298,
0.013539229519665241,
... |
DeepPavlov/bert-base-multilingual-cased-sentence | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"multilingual",
"arxiv:1704.05426",
"arxiv:1809.05053",
"arxiv:1908.10084",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": nul... | 140 | null | ---
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... | [
-0.008937752805650234,
-0.0351497121155262,
0.0050172461196780205,
0.03720295801758766,
0.02972976677119732,
0.02478216215968132,
0.0015884300228208303,
0.006500047631561756,
-0.049265846610069275,
0.056571103632450104,
0.009391220286488533,
-0.020431099459528923,
0.00972607359290123,
0.05... |
DeepPavlov/xlm-roberta-large-en-ru | [
"pytorch",
"xlm-roberta",
"feature-extraction",
"en",
"ru",
"transformers"
] | feature-extraction | {
"architectures": [
"XLMRobertaModel"
],
"model_type": "xlm-roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngr... | 190 | 2020-04-29T13:35:51Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-pl-en
* source languages: pl
* target languages: en
* OPUS readme: [pl-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pl-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
-0.014878750778734684,
-0.03131267800927162,
-0.0027609984390437603,
0.038057394325733185,
0.035819362848997116,
0.022729696705937386,
0.000891355681233108,
-0.002801948692649603,
-0.05732784792780876,
0.054170865565538406,
0.012372812256217003,
-0.015614180825650692,
-0.0022084603551775217,... |
Dilmk2/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 13 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ru-fi
* source languages: ru
* target languages: fi
* OPUS readme: [ru-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ru-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
-0.013932598754763603,
-0.03682563453912735,
0.007220860105007887,
0.03382923826575279,
0.035664770752191544,
0.026854924857616425,
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0.05062665045261383,
0.020215345546603203,
-0.014290020801126957,
0.0005655547138303518,
0... |
Dimedrolza/DialoGPT-small-cyberpunk | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 9 | null | ---
language:
- ru
- hy
tags:
- translation
license: apache-2.0
---
### rus-hye
* source group: Russian
* target group: Armenian
* OPUS readme: [rus-hye](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-hye/README.md)
* model: transformer-align
* source language(s): rus
* target langua... | [
-0.009973330423235893,
-0.02847977541387081,
-0.011128401383757591,
0.0441533699631691,
0.06105821579694748,
0.024935860186815262,
-0.006574124097824097,
-0.008188750594854355,
-0.08038082718849182,
0.055859968066215515,
0.016238147392868996,
-0.027629230171442032,
-0.0060103097930550575,
... |
DingleyMaillotUrgell/homer-bot | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 12 | null | ---
language:
- ru
- lt
tags:
- translation
license: apache-2.0
---
### rus-lit
* source group: Russian
* target group: Lithuanian
* OPUS readme: [rus-lit](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-lit/README.md)
* model: transformer-align
* source language(s): rus
* target lang... | [
0.002479123417288065,
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-0.013239961117506027,
0.03705727308988571,
0.05401303246617317,
0.021004803478717804,
-0.011123732663691044,
-0.008456745184957981,
-0.09294487535953522,
0.05809081345796585,
0.024929439648985863,
-0.01667696237564087,
-0.00963760819286108,
0.05... |
Dizoid/Lll | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
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... | [
-0.005420933477580547,
-0.03108110837638378,
-0.0100853918120265,
0.04124270752072334,
0.058753278106451035,
0.01936347596347332,
-0.011229711584746838,
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0.05976785346865654,
0.01823735050857067,
-0.026765206828713417,
-0.014275572262704372,
0.05... |
Dkwkk/Da | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
language:
- ru
- sl
tags:
- translation
license: apache-2.0
---
### rus-slv
* source group: Russian
* target group: Slovenian
* OPUS readme: [rus-slv](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-slv/README.md)
* model: transformer-align
* source language(s): rus
* target langu... | [
-0.0031977370381355286,
-0.03205454722046852,
-0.01500378455966711,
0.03724714368581772,
0.058694060891866684,
0.021672455593943596,
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0.008549833670258522,
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0.06397119164466858,
0.01079593412578106,
-0.02540377900004387,
-0.003716690232977271,
0.05... |
Waynehillsdev/Waynehills-STT-doogie-server | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_s... | 61 | null | ---
language:
- mt
- ar
- he
- ti
- am
- sem
tags:
- translation
license: apache-2.0
---
### sem-sem
* source group: Semitic languages
* target group: Semitic languages
* OPUS readme: [sem-sem](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sem-sem/README.md)
* model: transformer
* sourc... | [
-0.007999188266694546,
-0.031555574387311935,
-0.00972174946218729,
0.05574056878685951,
0.05029028654098511,
0.029623758047819138,
0.00239549670368433,
-0.00788784958422184,
-0.06283779442310333,
0.05803918465971947,
-0.006895374972373247,
-0.024152284488081932,
-0.004546016920357943,
0.0... |
Waynehillsdev/Waynehills_summary_tensorflow | [
"tf",
"t5",
"text2text-generation",
"transformers",
"generated_from_keras_callback",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_n... | 5 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sg-en
* source languages: sg
* target languages: en
* OPUS readme: [sg-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sg-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
-0.011600869707763195,
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-0.00771194975823164,
0.03799346834421158,
0.03127836063504219,
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0.059904105961322784,
0.015850752592086792,
-0.010006261058151722,
0.008900017477571964,
... |
Doohae/p_encoder | [
"pytorch"
] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
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},
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"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 3 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sg-fr
* source languages: sg
* target languages: fr
* OPUS readme: [sg-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sg-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
-0.011915980838239193,
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0.054302193224430084,
0.013144970871508121,
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-0.000036820900277234614,... |
Doohae/q_encoder | [
"pytorch"
] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
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},
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"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 3 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sg-sv
* source languages: sg
* target languages: sv
* OPUS readme: [sg-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sg-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
-0.011190415360033512,
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-0.0034819338470697403,
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... |
Doohae/roberta | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
],
"model_type": "roberta",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 3 | null | ---
language:
- sh
- eo
tags:
- translation
license: apache-2.0
---
### hbs-epo
* source group: Serbo-Croatian
* target group: Esperanto
* OPUS readme: [hbs-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hbs-epo/README.md)
* model: transformer-align
* source language(s): bos_Latn hr... | [
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DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-75 | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 37 | null | ---
language:
- be
- hr
- mk
- cs
- ru
- pl
- bg
- uk
- sl
- sla
- en
tags:
- translation
license: apache-2.0
---
### sla-eng
* source group: Slavic languages
* target group: English
* OPUS readme: [sla-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sla-eng/README.md)
* model: trans... | [
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0.0... |
DoyyingFace/bert-asian-hate-tweets-asian-unclean-with-clean-valid | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
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},
"summarization": {
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"max_length": null,
"min_length": null,
"no_rep... | 33 | null | ---
language:
- be
- hr
- mk
- cs
- ru
- pl
- bg
- uk
- sl
- sla
tags:
- translation
license: apache-2.0
---
### sla-sla
* source group: Slavic languages
* target group: Slavic languages
* OPUS readme: [sla-sla](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sla-sla/README.md)
* model: t... | [
-0.005482249893248081,
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0... |
albert-base-v1 | [
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 38,156 | 2020-04-29T13:47:47Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sn-es
* source languages: sn
* target languages: es
* OPUS readme: [sn-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sn-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
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albert-base-v2 | [
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 4,785,283 | 2020-04-29T13:48:05Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sn-fr
* source languages: sn
* target languages: fr
* OPUS readme: [sn-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sn-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
-0.016745252534747124,
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albert-large-v1 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
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},
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 687 | 2020-04-29T13:48:22Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sn-sv
* source languages: sn
* target languages: sv
* OPUS readme: [sn-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sn-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
-0.01965818740427494,
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... |
albert-large-v2 | [
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 26,792 | 2020-04-29T13:48:40Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sq-en
* source languages: sq
* target languages: en
* OPUS readme: [sq-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sq-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
-0.0123189901933074,
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... |
albert-xlarge-v1 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
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},
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 341 | 2020-04-29T13:48:58Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sq-es
* source languages: sq
* target languages: es
* OPUS readme: [sq-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sq-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
-0.011864805594086647,
-0.029092662036418915,
0.00047838463797234,
0.04478392004966736,
0.03472163528203964,
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0.... |
albert-xlarge-v2 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 2,973 | 2020-04-29T13:49:13Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sq-sv
* source languages: sq
* target languages: sv
* OPUS readme: [sq-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sq-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
-0.0136776277795434,
-0.029130108654499054,
0.004272020887583494,
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... |
albert-xxlarge-v1 | [
"pytorch",
"tf",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 7,091 | 2020-04-29T13:49:26Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-srn-en
* source languages: srn
* target languages: en
* OPUS readme: [srn-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/srn-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
-0.01678062044084072,
-0.02817518636584282,
-0.00831504538655281,
0.039029307663440704,
0.02640351839363575,
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0.05312807112932205,
0.01500481367111206,
-0.01460307464003563,
0.006808919366449118,
0.0... |
albert-xxlarge-v2 | [
"pytorch",
"tf",
"safetensors",
"albert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1909.11942",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"AlbertForMaskedLM"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_... | 42,640 | 2020-04-29T13:49:41Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-srn-es
* source languages: srn
* target languages: es
* OPUS readme: [srn-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/srn-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
-0.01607321761548519,
-0.030935361981391907,
-0.005938918795436621,
0.039795223623514175,
0.027675317600369453,
0.024414317682385445,
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0.05169985070824623,
0.009667256847023964,
-0.013435475528240204,
0.004993862006813288,
... |
bert-base-cased-finetuned-mrpc | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 11,644 | 2020-04-29T13:49:55Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-srn-fr
* source languages: srn
* target languages: fr
* OPUS readme: [srn-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/srn-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
-0.0156712606549263,
-0.03096758760511875,
-0.012708934023976326,
0.037348825484514236,
0.02529464103281498,
0.02330772951245308,
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0.051659539341926575,
0.011916136369109154,
-0.010820581577718258,
-0.0007165659917518497,
0.... |
bert-base-cased | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"exbert",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 8,621,271 | 2020-04-29T13:50:10Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-srn-sv
* source languages: srn
* target languages: sv
* OPUS readme: [srn-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/srn-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
-0.016952235251665115,
-0.02961435541510582,
-0.005281987600028515,
0.041033487766981125,
0.028488440439105034,
0.02094542607665062,
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0.055497728288173676,
0.014152743853628635,
-0.014031345956027508,
0.009527132846415043,
... |
bert-base-chinese | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"zh",
"arxiv:1810.04805",
"transformers",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 3,377,486 | 2020-04-29T13:50:24Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ss-en
* source languages: ss
* target languages: en
* OPUS readme: [ss-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ss-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
-0.020026404410600662,
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0.0... |
bert-base-german-cased | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"de",
"transformers",
"exbert",
"license:mit",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
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},
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 175,983 | 2020-04-29T13:50:39Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ssp-es
* source languages: ssp
* target languages: es
* OPUS readme: [ssp-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ssp-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
-0.01423339918255806,
-0.030141785740852356,
-0.006688883062452078,
0.03821958228945732,
0.0301545187830925,
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0.007125211879611015,
-0.013940834440290928,
0.005498244892805815,
... |
bert-base-german-dbmdz-cased | [
"pytorch",
"jax",
"bert",
"fill-mask",
"de",
"transformers",
"license:mit",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 1,814 | 2020-04-29T13:50:57Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-st-en
* source languages: st
* target languages: en
* OPUS readme: [st-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/st-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
-0.01418577041476965,
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-0.01403027679771185,
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... |
bert-base-german-dbmdz-uncased | [
"pytorch",
"jax",
"safetensors",
"bert",
"fill-mask",
"de",
"transformers",
"license:mit",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 68,305 | 2020-04-29T13:51:13Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-st-es
* source languages: st
* target languages: es
* OPUS readme: [st-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/st-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
-0.011348684318363667,
-0.028394561260938644,
-0.007157316897064447,
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0.006216011010110378,
-0.014665666967630386,
0.0061501748859882355,... |
bert-base-multilingual-cased | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"af",
"sq",
"ar",
"an",
"hy",
"ast",
"az",
"ba",
"eu",
"bar",
"be",
"bn",
"inc",
"bs",
"br",
"bg",
"my",
"ca",
"ceb",
"ce",
"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en",
"et",
... | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 4,749,504 | 2020-04-29T13:51:34Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-st-fi
* source languages: st
* target languages: fi
* OPUS readme: [st-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/st-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
-0.015164615586400032,
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-0.0013795499689877033,
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0... |
bert-base-multilingual-uncased | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"multilingual",
"af",
"sq",
"ar",
"an",
"hy",
"ast",
"az",
"ba",
"eu",
"bar",
"be",
"bn",
"inc",
"bs",
"br",
"bg",
"my",
"ca",
"ceb",
"ce",
"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en",
"et",
... | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 328,585 | 2020-04-29T13:51:49Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-st-fr
* source languages: st
* target languages: fr
* OPUS readme: [st-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/st-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
-0.012104650028049946,
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-0.013181304559111595,
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... |
bert-large-cased-whole-word-masking-finetuned-squad | [
"pytorch",
"tf",
"jax",
"rust",
"safetensors",
"bert",
"question-answering",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | question-answering | {
"architectures": [
"BertForQuestionAnswering"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_n... | 8,214 | 2020-05-12T21:40:41Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-NORWAY
* source languages: sv
* target languages: nb_NO,nb,nn_NO,nn,nog,no_nb,no
* OPUS readme: [sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no/README.md)
* dataset:... | [
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0.06332484632730484,
0.008010968565940857,
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0... |
bert-large-cased-whole-word-masking | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 2,316 | 2020-05-12T21:40:32Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-ZH
* source languages: sv
* target languages: cmn,cn,yue,ze_zh,zh_cn,zh_CN,zh_HK,zh_tw,zh_TW,zh_yue,zhs,zht,zh
* OPUS readme: [sv-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/... | [
-0.020853424444794655,
-0.03225753456354141,
-0.0009497338905930519,
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0.021560141816735268,
0.017497222870588303,
-0.0008081396226771176,
-0.009995290078222752,
-0.04078751802444458,
0.053128067404031754,
0.00943820271641016,
-0.00923441257327795,
0.016543736681342125,
... |
bert-large-cased | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 388,769 | 2020-04-29T13:52:29Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-af
* source languages: sv
* target languages: af
* OPUS readme: [sv-af](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-af/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
-0.01646343059837818,
-0.032250016927719116,
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0.05401906371116638,
0.009408470243215561,
-0.007126869633793831,
0.012568837963044643,
... |
bert-large-uncased-whole-word-masking-finetuned-squad | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"question-answering",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | question-answering | {
"architectures": [
"BertForQuestionAnswering"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_n... | 480,510 | 2020-04-29T13:52:41Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-ase
* source languages: sv
* target languages: ase
* OPUS readme: [sv-ase](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ase/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
-0.013531362637877464,
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0.053743135184049606,
0.004925841465592384,
-0.004870586097240448,
0.01055233832448721,
... |
bert-large-uncased-whole-word-masking | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 76,685 | 2020-04-29T13:53:03Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-bcl
* source languages: sv
* target languages: bcl
* OPUS readme: [sv-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-bcl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
-0.016759686172008514,
-0.02087964490056038,
0.0005199289880692959,
0.04109744727611542,
0.024054955691099167,
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0.049122776836156845,
0.010579443536698818,
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0.011608085595071316,
0.... |
bert-large-uncased | [
"pytorch",
"tf",
"jax",
"safetensors",
"bert",
"fill-mask",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1810.04805",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 1,058,496 | 2020-04-29T13:53:28Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-bem
* source languages: sv
* target languages: bem
* OPUS readme: [sv-bem](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-bem/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
-0.018502937629818916,
-0.032558634877204895,
0.0023784381337463856,
0.04048726707696915,
0.030712643638253212,
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0.05667421594262123,
0.006610406097024679,
-0.015457520261406898,
0.010597657412290573,
0.0... |
ctrl | [
"pytorch",
"tf",
"ctrl",
"en",
"arxiv:1909.05858",
"arxiv:1910.09700",
"transformers",
"license:bsd-3-clause",
"has_space"
] | null | {
"architectures": null,
"model_type": "ctrl",
"task_specific_params": {
"conversational": {
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},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_bea... | 17,007 | 2020-04-29T13:54:02Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-bi
* source languages: sv
* target languages: bi
* OPUS readme: [sv-bi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-bi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
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0.0... |
distilbert-base-cased-distilled-squad | [
"pytorch",
"tf",
"rust",
"safetensors",
"openvino",
"distilbert",
"question-answering",
"en",
"dataset:squad",
"arxiv:1910.01108",
"arxiv:1910.09700",
"transformers",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"has_space"
] | question-answering | {
"architectures": [
"DistilBertForQuestionAnswering"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 257,745 | 2020-04-29T13:54:29Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-bzs
* source languages: sv
* target languages: bzs
* OPUS readme: [sv-bzs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-bzs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
-0.016843870282173157,
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0.052066851407289505,
0.014401664026081562,
-0.014996137470006943,
0.01286276988685131,
0.... |
distilbert-base-cased | [
"pytorch",
"tf",
"onnx",
"distilbert",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1910.01108",
"transformers",
"license:apache-2.0",
"has_space"
] | null | {
"architectures": null,
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"n... | 574,859 | 2020-04-29T13:54:41Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-ceb
* source languages: sv
* target languages: ceb
* OPUS readme: [sv-ceb](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ceb/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
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0.0348963625729084,
0.03355003520846367,
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0.054659634828567505,
0.008214105851948261,
-0.011920290999114513,
0.010117584839463234,
... |
distilbert-base-multilingual-cased | [
"pytorch",
"tf",
"onnx",
"safetensors",
"distilbert",
"fill-mask",
"multilingual",
"af",
"sq",
"ar",
"an",
"hy",
"ast",
"az",
"ba",
"eu",
"bar",
"be",
"bn",
"inc",
"bs",
"br",
"bg",
"my",
"ca",
"ceb",
"ce",
"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en",
... | fill-mask | {
"architectures": [
"DistilBertForMaskedLM"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repea... | 8,339,633 | 2020-04-29T13:55:29Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-crs
* source languages: sv
* target languages: crs
* OPUS readme: [sv-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-crs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
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distilbert-base-uncased-finetuned-sst-2-english | [
"pytorch",
"tf",
"rust",
"safetensors",
"distilbert",
"text-classification",
"en",
"dataset:sst2",
"dataset:glue",
"arxiv:1910.01108",
"doi:10.57967/hf/0181",
"transformers",
"license:apache-2.0",
"model-index",
"has_space"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
... | 3,060,704 | 2020-04-29T13:56:00Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-ee
* source languages: sv
* target languages: ee
* OPUS readme: [sv-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ee/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
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0.04... |
gpt2 | [
"pytorch",
"tf",
"jax",
"tflite",
"rust",
"safetensors",
"gpt2",
"text-generation",
"en",
"doi:10.57967/hf/0039",
"transformers",
"exbert",
"license:mit",
"has_space"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 21,488,226 | 2020-04-29T13:57:44Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-fi
* source languages: sv
* target languages: fi
* OPUS readme: [sv-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-fi/README.md)
* dataset: opus+bt
* model: transformer-align
* pre-processing: normalization + SentencePiece
* do... | [
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... |
openai-gpt | [
"pytorch",
"tf",
"rust",
"safetensors",
"openai-gpt",
"text-generation",
"en",
"arxiv:1705.11168",
"arxiv:1803.02324",
"arxiv:1910.09700",
"transformers",
"license:mit",
"has_space"
] | text-generation | {
"architectures": [
"OpenAIGPTLMHeadModel"
],
"model_type": "openai-gpt",
"task_specific_params": {
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},
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"min_length": null,
"no_repeat... | 65,432 | 2020-04-29T13:57:57Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-fj
* source languages: sv
* target languages: fj
* OPUS readme: [sv-fj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-fj/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
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0.0... |
xlnet-large-cased | [
"pytorch",
"tf",
"xlnet",
"text-generation",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"arxiv:1906.08237",
"transformers",
"license:mit",
"has_space"
] | text-generation | {
"architectures": [
"XLNetLMHeadModel"
],
"model_type": "xlnet",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_repeat_ngram_si... | 16,389 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-mos
* source languages: sv
* target languages: mos
* OPUS readme: [sv-mos](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-mos/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
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... |
123abhiALFLKFO/distilbert-base-uncased-finetuned-cola | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"DistilBertForSequenceClassification"
],
"model_type": "distilbert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
... | 57 | 2020-04-29T14:10:41Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-ro
* source languages: sv
* target languages: ro
* OPUS readme: [sv-ro](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ro/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
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0.0... |
AAli/distilbert-base-uncased-finetuned-cola | [] | null | {
"architectures": null,
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"num_beams... | 0 | null | ---
language:
- tl
- de
tags:
- translation
license: apache-2.0
---
### tgl-deu
* source group: Tagalog
* target group: German
* OPUS readme: [tgl-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tgl-deu/README.md)
* model: transformer-align
* source language(s): tgl_Latn
* target lan... | [
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0.... |
AG/pretraining | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"RobertaModel"
],
"model_type": "roberta",
"task_specific_params": {
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},
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"no_repeat_ngram_size... | 2 | 2020-05-06T03:08:09Z | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-tn-fr
* source languages: tn
* target languages: fr
* OPUS readme: [tn-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tn-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
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ASCCCCCCCC/bert-base-chinese-finetuned-amazon_zh_20000 | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_rep... | 43 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-tzo-es
* source languages: tzo
* target languages: es
* OPUS readme: [tzo-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tzo-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... | [
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0.051986418664455414,
0.012306762859225273,
-0.020037641748785973,
0.00823224149644374... |
AbidineVall/my-new-shiny-tokenizer | [] | null | {
"architectures": null,
"model_type": null,
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},
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"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-yo-es
* source languages: yo
* target languages: es
* OPUS readme: [yo-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/yo-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
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0.... |
Abirate/code_net_new_tokenizer_from_WPiece_bert_algorithm | [] | null | {
"architectures": null,
"model_type": null,
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"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-yo-fr
* source languages: yo
* target languages: fr
* OPUS readme: [yo-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/yo-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
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... |
AdapterHub/bert-base-uncased-pf-mit_movie_trivia | [
"bert",
"en",
"arxiv:2104.08247",
"adapter-transformers",
"token-classification",
"adapterhub:ner/mit_movie_trivia"
] | token-classification | {
"architectures": null,
"model_type": "bert",
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},
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"min_length": null,
"no_repeat_ngram_size": null,
"num_bea... | 11 | null | ---
language:
- it
- he
tags:
- translation
license: apache-2.0
---
### it-he
* source group: Italian
* target group: Hebrew
* OPUS readme: [ita-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-heb/README.md)
* model: transformer
* source language(s): ita
* target language(s): heb
*... | [
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AdapterHub/roberta-base-pf-boolq | [
"roberta",
"en",
"dataset:boolq",
"arxiv:2104.08247",
"adapter-transformers",
"text-classification",
"adapterhub:qa/boolq"
] | text-classification | {
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"num_... | 36 | null | ## ParsBERT: Transformer-based Model for Persian Language Understanding
ParsBERT is a monolingual language model based on Google’s BERT architecture with the same configurations as BERT-Base.
Paper presenting ParsBERT: [arXiv:2005.12515](https://arxiv.org/abs/2005.12515)
All the models (downstream tasks) are uncase... | [
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... |
Akash7897/fill_mask_model | [] | null | {
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"num_beams... | 0 | null | ---
language:
- zh
inference:
parameters:
max_new_tokens: 128
do_sample: True
license: apache-2.0
---
# Wenzhong-GPT2-3.5B
- Github: [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM)
- Docs: [Fengshenbang-Docs](https://fengshenbang-doc.readthedocs.io/)
## 简介 Brief Introduction
... | [
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Akash7897/gpt2-wikitext2 | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:mit"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"min_length": null,
"no_repeat_ngram_size... | 5 | null | ---
language:
- en
inference: false
license: apache-2.0
---
# Yuyuan-GPT2-3.5B
- Github: [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM)
- Docs: [Fengshenbang-Docs](https://fengshenbang-doc.readthedocs.io/)
## 简介 Brief Introduction
目前最大的，医疗领域的生成语言模型GPT2。
The currently largest, generative lang... | [
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0.... |
Akash7897/my-newtokenizer | [] | null | {
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"num_beams... | 0 | null | ---
language:
- zh
license: apache-2.0
widget:
- text: "生活的真谛是[MASK]。"
---
# Zhouwenwang-Unified-1.3B
- Github: [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM)
- Docs: [Fengshenbang-Docs](https://fengshenbang-doc.readthedocs.io/)
## 简介 Brief Introduction
与追一科技合作探索的中文统一模型，13亿参数的编码器结构模型。
The Chines... | [
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0.05... |
Akash7897/test-clm | [] | null | {
"architectures": null,
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"num_beams... | 0 | null | ---
language:
- zh
license: apache-2.0
widget:
- text: "生活的真谛是[MASK]。"
---
# Zhouwenwang-Unified-110M
- Github: [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM)
- Docs: [Fengshenbang-Docs](https://fengshenbang-doc.readthedocs.io/)
## 简介 Brief Introduction
与追一科技合作探索的中文统一模型，1.1亿参数的编码器结构模型。
The Chin... | [
-0.03523636236786842,
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Akashamba/distilbert-base-uncased-finetuned-ner | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- conversational
---
# Rick And Morty DialoGPT Model | [
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Akashpb13/Galician_xlsr | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"gl",
"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 | {
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"Wav2Vec2ForCTC"
],
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},
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"min_length": null,
"no_repeat_ngram_s... | 7 | null | ---
widget:
- text: "My name is Mark and I live in London. I am a postgraduate student at Queen Mary University."
language:
- en
license: mit
---
# Hate Speech Classifier for Social Media Content in English Language
A monolingual model for hate speech classification of social media content in English language. Th... | [
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... |
Akashpb13/Hausa_xlsr | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ha",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"model_for_talk",
"mozilla-foundation/common_voice_8_0",
"robust-speech-event",
"license:apache-2.0",
"model-index",
"... | automatic-speech-recognition | {
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"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
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},
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"min_length": null,
"no_repeat_ngram_s... | 31 | null | ---
widget:
- text: "Ciao, mi chiamo Marcantonio, sono di Roma. Studio informatica all'Università di Roma."
language:
- it
license: mit
---
# Hate Speech Classifier for Social Media Content in Italian Language
A monolingual model for hate speech classification of social media content in Italian language. The model... | [
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0.... |
AkshaySg/gramCorrection | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
"task_specific_params": {
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},
"summarization": {
"early_stopping": true,
"length_penalty": 2,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 4 | null | ---
datasets:
- squad_v2
- wiki_qa
language:
- en
metrics:
- accuracy
pipeline_tag: question-answering
---
A distilbert model fine-tuned for question answering. | [
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0.015803705900907516,
0.011370775289833546,
0... |
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