modelId stringlengths 4 112 | sha stringlengths 40 40 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringclasses 29
values | private bool 1
class | author stringlengths 2 38 ⌀ | config null | id stringlengths 4 112 | downloads float64 0 36.8M ⌀ | likes float64 0 712 ⌀ | library_name stringclasses 17
values | __index_level_0__ int64 0 38.5k | readme stringlengths 0 186k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
tanfiona/unicausal-seq-baseline | 1f7b3a659ccaea01bdd97445fae9acafab5cc347 | 2022-07-15T09:55:29.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"transformers",
"license:unknown"
] | text-classification | false | tanfiona | null | tanfiona/unicausal-seq-baseline | 26 | null | transformers | 7,600 | ---
language: en
license: unknown
widget:
- text: "She fell because he pushed her."
example_title: "Causal Example 1"
- text: "He pushed her, causing her to fall."
example_title: "Causal Example 2"
- text: "She fell onto him."
example_title: "Non-causal Example 1"
- text: "He is Billy and he pushed her."
examp... |
Gunulhona/tbnlimodel_v2 | 12ead951a7cb226d621a95f5db670e5cce7e9ace | 2022-07-20T07:16:08.000Z | [
"pytorch",
"bart",
"text-classification",
"transformers"
] | text-classification | false | Gunulhona | null | Gunulhona/tbnlimodel_v2 | 26 | null | transformers | 7,601 | Entry not found |
google/ncsnpp-bedroom-256 | c62041310b619c4fd85b78865f91ceca135c3993 | 2022-07-21T14:59:57.000Z | [
"diffusers",
"arxiv:2011.13456",
"pytorch",
"unconditional-image-generation",
"license:apache-2.0"
] | unconditional-image-generation | false | google | null | google/ncsnpp-bedroom-256 | 26 | null | diffusers | 7,602 | ---
license: apache-2.0
tags:
- pytorch
- diffusers
- unconditional-image-generation
---
# Score-Based Generative Modeling through Stochastic Differential Equations (SDE)
**Paper**: [Score-Based Generative Modeling through Stochastic Differential Equations](https://arxiv.org/abs/2011.13456)
**Authors**: Yang Song, J... |
Evelyn18/roberta-base-spanish-squades-robertav2 | bea436a9c0ba6aeeab48f845f123b6c137300781 | 2022-07-21T16:57:29.000Z | [
"pytorch",
"tensorboard",
"roberta",
"question-answering",
"dataset:becasv2",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | Evelyn18 | null | Evelyn18/roberta-base-spanish-squades-robertav2 | 26 | null | transformers | 7,603 | ---
tags:
- generated_from_trainer
datasets:
- becasv2
model-index:
- name: roberta-base-spanish-squades-robertav2
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. -->... |
conan1024hao/cjkbert-base | 02c8738f7215aaf7d87f70c0c9cd8085333201fb | 2022-07-24T14:31:32.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | fill-mask | false | conan1024hao | null | conan1024hao/cjkbert-base | 26 | 1 | transformers | 7,604 | ---
license: cc-by-sa-4.0
---
|
noob123/original_model | ae53f53a9c91888adc61bf8e2b1ef48fe7960dc9 | 2022-07-26T15:49:24.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | noob123 | null | noob123/original_model | 26 | null | transformers | 7,605 | Entry not found |
Den4ikAI/dialog_rugpt3 | a9832b450cbeac5cf8973d22cf0997e759372ff4 | 2022-07-26T19:13:06.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"license:mit"
] | text-generation | false | Den4ikAI | null | Den4ikAI/dialog_rugpt3 | 26 | null | transformers | 7,606 | ---
license: mit
laungage: rus
---
RUGPT-3 обученная на диалогах с yandex toloka, flibusta
Для получения ответа в модели необходимо ввести такой формат данных:
"- Привет\n-"
|
derwahnsinn/gpt2-mediumTarantino | a1b97c5822db4b5eec036df115b1d850152848f5 | 2022-07-28T19:03:33.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-generation | false | derwahnsinn | null | derwahnsinn/gpt2-mediumTarantino | 26 | null | transformers | 7,607 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-mediumTarantino
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. -->
# gpt2-mediumTarantino
... |
ashishraics/deberta_v3_large_mlm_feedback_prize | c8401bf9cea1d3fc4d474b7f841fcc59f14ef9e6 | 2022-07-29T16:42:21.000Z | [
"pytorch",
"deberta-v2",
"feature-extraction",
"transformers"
] | feature-extraction | false | ashishraics | null | ashishraics/deberta_v3_large_mlm_feedback_prize | 26 | null | transformers | 7,608 | Entry not found |
bloom-testing/test-bloomd-350m-8bit-model | 2621f4d92a66bdc30ce2e3676227258ec9ba15f5 | 2022-07-29T23:55:22.000Z | [
"pytorch",
"bloom",
"feature-extraction",
"transformers"
] | feature-extraction | false | bloom-testing | null | bloom-testing/test-bloomd-350m-8bit-model | 26 | null | transformers | 7,609 | Entry not found |
ArseniyBolotin/bert-multi-PAD-ner | 6b99a82f9de864e85fb891f329e4e72845118137 | 2021-05-18T17:06:50.000Z | [
"pytorch",
"jax",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ArseniyBolotin | null | ArseniyBolotin/bert-multi-PAD-ner | 25 | null | transformers | 7,610 | Entry not found |
Ayran/DialoGPT-medium-harry-potter-1-through-3 | 6bc7a1680c88da1e8a47b237961287daa3ba9608 | 2021-10-12T17:14:35.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Ayran | null | Ayran/DialoGPT-medium-harry-potter-1-through-3 | 25 | null | transformers | 7,611 | ---
tags:
- conversational
---
#DialoGPT medium model (Harry Potter 1-3) |
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus6 | 1f6d9643228adb8463a3dee24b369ec41a3235de | 2021-10-17T11:17:53.000Z | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | false | CAMeL-Lab | null | CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus6 | 25 | null | transformers | 7,612 | ---
language:
- ar
license: apache-2.0
widget:
- text: "عامل ايه ؟"
---
# CAMeLBERT-Mix DID MADAR Corpus6 Model
## Model description
**CAMeLBERT-Mix DID MADAR Corpus6 Model** is a dialect identification (DID) model that was built by fine-tuning the [CAMeLBERT-Mix](https://huggingface.co/CAMeL-Lab/bert-base-arabic-cam... |
Cameron/BERT-mdgender-convai-ternary | 430cb08041e7752a2a0d9678957a0c1c995c1990 | 2021-05-18T17:31:21.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Cameron | null | Cameron/BERT-mdgender-convai-ternary | 25 | null | transformers | 7,613 | Entry not found |
Geotrend/bert-base-en-cased | 4c6b9131287aaec6e926821c2ccc7eb82dbba0a4 | 2021-05-18T19:03:33.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"en",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Geotrend | null | Geotrend/bert-base-en-cased | 25 | null | transformers | 7,614 | ---
language: en
datasets: wikipedia
license: apache-2.0
widget:
- text: "Google generated 46 billion [MASK] in revenue."
- text: "Paris is the capital of [MASK]."
- text: "Algiers is the largest city in [MASK]."
---
# bert-base-en-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://hug... |
Geotrend/distilbert-base-de-cased | 52e90cc8094abc1c3cdf6fc9fedbc31065f535eb | 2021-08-16T13:33:05.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"de",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Geotrend | null | Geotrend/distilbert-base-de-cased | 25 | null | transformers | 7,615 | ---
language: de
datasets: wikipedia
license: apache-2.0
---
# distilbert-base-de-cased
We are sharing smaller versions of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) that handle a custom number of languages.
Our versions give exactly the same representations pro... |
HelloRusk/t5-base-parasci | 5847de1c218ee95abbfc20370d4ad19f310ec33d | 2021-06-23T02:24:58.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | HelloRusk | null | HelloRusk/t5-base-parasci | 25 | null | transformers | 7,616 | Entry not found |
Helsinki-NLP/opus-mt-ase-en | 31dc31232a3b66fc2802c779cf109a1330440ab3 | 2021-09-09T21:26:26.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ase",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ase-en | 25 | null | transformers | 7,617 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ase-en
* source languages: ase
* target languages: en
* OPUS readme: [ase-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ase-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-bzs-en | 4a0238e6463445a99590c0abe7aed5f2f95e064d | 2021-09-09T21:27:59.000Z | [
"pytorch",
"marian",
"text2text-generation",
"bzs",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-bzs-en | 25 | null | transformers | 7,618 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-bzs-en
* source languages: bzs
* target languages: en
* OPUS readme: [bzs-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bzs-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-da-fr | 186e4c938bc1744a9ddbd67073fe572c93a494c8 | 2021-09-09T21:30:03.000Z | [
"pytorch",
"marian",
"text2text-generation",
"da",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-da-fr | 25 | null | transformers | 7,619 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-da-fr
* source languages: da
* target languages: fr
* OPUS readme: [da-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-en-eu | 74a16b460e9cf136feb59f58338ee491e087de8a | 2021-01-18T08:07:25.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"eu",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-eu | 25 | 1 | transformers | 7,620 | ---
language:
- en
- eu
tags:
- translation
license: apache-2.0
---
### eng-eus
* source group: English
* target group: Basque
* OPUS readme: [eng-eus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-eus/README.md)
* model: transformer-align
* source language(s): eng
* target language... |
Helsinki-NLP/opus-mt-en-gem | 50d7941693cfafef0c11fd8a72297571f9df7a20 | 2021-01-18T08:08:05.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"da",
"sv",
"af",
"nn",
"fy",
"fo",
"de",
"nb",
"nl",
"is",
"lb",
"yi",
"gem",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-gem | 25 | 1 | transformers | 7,621 | ---
language:
- en
- da
- sv
- af
- nn
- fy
- fo
- de
- nb
- nl
- is
- lb
- yi
- gem
tags:
- translation
license: apache-2.0
---
### eng-gem
* source group: English
* target group: Germanic languages
* OPUS readme: [eng-gem](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gem/README.md)... |
Helsinki-NLP/opus-mt-en-gv | 75304df76c1de9f4a2502e13edefe5e83b60808b | 2021-09-09T21:35:42.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"gv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-gv | 25 | null | transformers | 7,622 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-gv
* source languages: en
* target languages: gv
* OPUS readme: [en-gv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-gv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-es-fi | 418cdb680fcf1499ec9f72e0eece03ea67322e4c | 2021-09-09T21:42:19.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-fi | 25 | null | transformers | 7,623 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-fi
* source languages: es
* target languages: fi
* OPUS readme: [es-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-es-mk | 0313f02ea08ecfcb2abb2c21696918e0d37e2eed | 2021-01-18T08:26:44.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"mk",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-mk | 25 | null | transformers | 7,624 | ---
language:
- es
- mk
tags:
- translation
license: apache-2.0
---
### spa-mkd
* source group: Spanish
* target group: Macedonian
* OPUS readme: [spa-mkd](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-mkd/README.md)
* model: transformer-align
* source language(s): spa
* target lang... |
Helsinki-NLP/opus-mt-ho-en | 30f225f4db385984a9c95e468faaeb54890e606c | 2021-09-09T22:10:10.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ho",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ho-en | 25 | null | transformers | 7,625 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-ho-en
* source languages: ho
* target languages: en
* OPUS readme: [ho-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ho-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-hr-fi | 0ad78408cbbecab0c12a5f4062917301dcb7aff9 | 2021-09-09T22:10:17.000Z | [
"pytorch",
"marian",
"text2text-generation",
"hr",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-hr-fi | 25 | null | transformers | 7,626 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-hr-fi
* source languages: hr
* target languages: fi
* OPUS readme: [hr-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hr-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-lua-en | 8c17410d2f28979693fc972266320bb3db646712 | 2021-09-10T13:56:04.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lua",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lua-en | 25 | null | transformers | 7,627 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-lua-en
* source languages: lua
* target languages: en
* OPUS readme: [lua-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/lua-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-luo-en | 7c29e33c07a0a88ec5b54b6df68ac190113147a1 | 2021-09-10T13:56:44.000Z | [
"pytorch",
"marian",
"text2text-generation",
"luo",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-luo-en | 25 | null | transformers | 7,628 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-luo-en
* source languages: luo
* target languages: en
* OPUS readme: [luo-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/luo-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-pag-en | bf41e954aa08a387ae6b72e96d5d7f0bd4e630b0 | 2021-09-10T14:00:15.000Z | [
"pytorch",
"marian",
"text2text-generation",
"pag",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-pag-en | 25 | null | transformers | 7,629 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-pag-en
* source languages: pag
* target languages: en
* OPUS readme: [pag-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pag-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-run-en | 28b9926db36126b5833968eea417490d5e4d70a1 | 2021-09-10T14:02:34.000Z | [
"pytorch",
"marian",
"text2text-generation",
"run",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-run-en | 25 | null | transformers | 7,630 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-run-en
* source languages: run
* target languages: en
* OPUS readme: [run-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/run-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-sk-sv | 003fa8e1c1a935225541bcacf43b5bc1e0f5870b | 2021-09-10T14:03:35.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sk",
"sv",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sk-sv | 25 | null | transformers | 7,631 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sk-sv
* source languages: sk
* target languages: sv
* OPUS readme: [sk-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sk-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-tw-fi | d7a5caa6848a5705a603e56ae16f2853a68ab5c1 | 2021-09-11T10:50:43.000Z | [
"pytorch",
"marian",
"text2text-generation",
"tw",
"fi",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tw-fi | 25 | null | transformers | 7,632 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-tw-fi
* source languages: tw
* target languages: fi
* OPUS readme: [tw-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tw-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Intel/bert-base-uncased-sparse-70-unstructured | 49d5ae78de4226eb67c37d7b119786732bd6a364 | 2021-05-24T12:42:47.000Z | [
"pytorch",
"bert",
"fill-mask",
"en",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Intel | null | Intel/bert-base-uncased-sparse-70-unstructured | 25 | null | transformers | 7,633 | ---
language: en
---
# Sparse BERT base model (uncased)
Pretrained model pruned to 70% sparsity.
The model is a pruned version of the [BERT base model](https://huggingface.co/bert-base-uncased).
## Intended Use
The model can be used for fine-tuning to downstream tasks with sparsity already embeded to the model.
To ... |
ItelAi/Chatbot | af2a3bc7dfaf094f1ff1d4a6574c5542eb3c2194 | 2021-07-20T01:27:08.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | ItelAi | null | ItelAi/Chatbot | 25 | null | transformers | 7,634 | Entry not found |
JorisCos/ConvTasNet_Libri2Mix_sepclean_8k | fe2524d2ab745ab0f235804d57155a7e7cfe10ae | 2021-09-23T15:48:56.000Z | [
"pytorch",
"dataset:Libri2Mix",
"dataset:sep_clean",
"asteroid",
"audio",
"ConvTasNet",
"audio-to-audio",
"license:cc-by-sa-4.0"
] | audio-to-audio | false | JorisCos | null | JorisCos/ConvTasNet_Libri2Mix_sepclean_8k | 25 | null | asteroid | 7,635 | ---
tags:
- asteroid
- audio
- ConvTasNet
- audio-to-audio
datasets:
- Libri2Mix
- sep_clean
license: cc-by-sa-4.0
---
## Asteroid model `JorisCos/ConvTasNet_Libri2Mix_sepclean_8k`
Imported from [Zenodo](https://zenodo.org/record/3873572#.X9M69cLjJH4)
Description:
This model was trained by Joris Cosentino using the ... |
KakoSi/Smolmm3 | 53dc695c4bf9a794269a5b3b123adfe9f56e8c0a | 2021-07-17T08:15:33.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | KakoSi | null | KakoSi/Smolmm3 | 25 | null | transformers | 7,636 | ---
tags:
- conversational
---
#my awesome model |
LeBenchmark/wav2vec2-FR-2.6K-base | 7353dcd1ba8eb09a9b0726c68b2464222086b3c2 | 2021-11-30T04:23:14.000Z | [
"pytorch",
"wav2vec2",
"feature-extraction",
"fr",
"transformers",
"license:apache-2.0"
] | feature-extraction | false | LeBenchmark | null | LeBenchmark/wav2vec2-FR-2.6K-base | 25 | null | transformers | 7,637 | ---
language: "fr"
thumbnail:
tags:
- wav2vec2
license: "apache-2.0"
---
# LeBenchmark: wav2vec2 large model trained on 2.6K hours of French speech (no spontaneous speech)
LeBenchmark provides an ensemble of pretrained wav2vec2 models on different French datasets containing spontaneous, read, and broadcasted spee... |
Norod78/hebrew_poetry-gpt_neo-small | 357dac0c1ec3222f4603af5d6b29e86f4bd3c7fd | 2022-07-04T07:24:46.000Z | [
"pytorch",
"jax",
"gpt_neo",
"text-generation",
"he",
"transformers",
"license:mit"
] | text-generation | false | Norod78 | null | Norod78/hebrew_poetry-gpt_neo-small | 25 | null | transformers | 7,638 | ---
language: he
thumbnail: https://avatars1.githubusercontent.com/u/3617152?norod.jpg
widget:
- text: "פעם אחת לפני שנ"
- text: "הים כחול ואני ח"
- text: "שם היצירה:"
- text: "כשהמכונות"
license: mit
---
# hebrew_poetry-gpt_neo-small
Hebrew poetry text generation model, fined tuned upon [hebrew-gpt_neo-small](http... |
SEBIS/code_trans_t5_base_code_documentation_generation_python_multitask_finetune | 08bb81ae32a9404314c0a384b4e6fdf64c4f3b6c | 2021-06-23T04:47:08.000Z | [
"pytorch",
"jax",
"t5",
"feature-extraction",
"transformers",
"summarization"
] | summarization | false | SEBIS | null | SEBIS/code_trans_t5_base_code_documentation_generation_python_multitask_finetune | 25 | 1 | transformers | 7,639 | ---
tags:
- summarization
widget:
- text: "def e ( message , exit_code = None ) : print_log ( message , YELLOW , BOLD ) if exit_code is not None : sys . exit ( exit_code )"
---
# CodeTrans model for code documentation generation python
Pretrained model on programming language python using the t5 base model architect... |
SEBIS/legal_t5_small_multitask_en_sv | 1e83e8b6c28ebbf214e43e5372b3c51f42e3fd1f | 2021-06-23T11:00:55.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"English Swedish",
"dataset:dcep europarl jrc-acquis",
"transformers",
"translation English Swedish model",
"autotrain_compatible"
] | text2text-generation | false | SEBIS | null | SEBIS/legal_t5_small_multitask_en_sv | 25 | null | transformers | 7,640 |
---
language: English Swedish
tags:
- translation English Swedish model
datasets:
- dcep europarl jrc-acquis
widget:
- text: "whereas enlargement to Bulgaria and Romania should be effective in 2007,"
---
# legal_t5_small_multitask_en_sv model
Model on translating legal text from English to Swedish. It was first ... |
SophieTr/fine-tune-Pegasus-large | 2c7c8250e812074b8859e6775e4852cb8944e61a | 2022-01-26T07:56:10.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | SophieTr | null | SophieTr/fine-tune-Pegasus-large | 25 | 1 | transformers | 7,641 | ---
tags:
- generated_from_trainer
model-index:
- name: fine-tune-Pegasus-large
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. -->
# fine-tune-Pegasus-large
This m... |
TalTechNLP/voxlingua107-epaca-tdnn-ce | 2b36d180fc2664918fae6611217cce975391b71c | 2021-11-04T13:37:25.000Z | [
"multilingual",
"dataset:VoxLingua107",
"speechbrain",
"audio-classification",
"embeddings",
"Language",
"Identification",
"pytorch",
"ECAPA-TDNN",
"TDNN",
"VoxLingua107",
"license:apache-2.0"
] | audio-classification | false | TalTechNLP | null | TalTechNLP/voxlingua107-epaca-tdnn-ce | 25 | 2 | speechbrain | 7,642 | ---
language: multilingual
thumbnail:
tags:
- audio-classification
- speechbrain
- embeddings
- Language
- Identification
- pytorch
- ECAPA-TDNN
- TDNN
- VoxLingua107
license: "apache-2.0"
datasets:
- VoxLingua107
metrics:
- Accuracy
widget:
- example_title: English Sample
src: https://cdn-media.huggingface.co/speech... |
Vaibhavbrkn/grammer_classiffication | 022d5425a2c542baae2e8ec917d956ae19245684 | 2021-10-23T06:20:00.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Vaibhavbrkn | null | Vaibhavbrkn/grammer_classiffication | 25 | null | transformers | 7,643 | Entry not found |
abhi1nandy2/EManuals_BERT | 2e220e9b39d59b3739bdf5f62f0f1fe7634a84fe | 2022-01-17T17:12:46.000Z | [
"pytorch",
"bert",
"fill-mask",
"English",
"transformers",
"EManuals",
"customer support",
"QA",
"autotrain_compatible"
] | fill-mask | false | abhi1nandy2 | null | abhi1nandy2/EManuals_BERT | 25 | null | transformers | 7,644 | ---
language:
- English
tags:
- EManuals
- customer support
- QA
- bert
---
Refer to https://aclanthology.org/2021.findings-emnlp.392/ for the paper and https://sites.google.com/view/emanualqa/home for the project website
## Citation
Please cite the work if you would like to use it.
```
@inproceedings{nandy-eta... |
addy88/t5-grammar-correction | c33cdd81a911fce70375248118a7e617387fb4ad | 2022-01-17T12:09:14.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | addy88 | null | addy88/t5-grammar-correction | 25 | 1 | transformers | 7,645 | ### How to use
Here is how to use this model in PyTorch:
```python
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("addy88/t5-grammar-correction")
model = AutoModelForSeq2SeqLM.from_pretrained("addy88/t5-grammar-correction")
input_ids = tokenizer('grammar: This... |
allenai/hvila-row-layoutlm-finetuned-grotoap2 | cc7b102ef8cf72c08af41174b54e0a8edff9b0b6 | 2021-09-27T23:01:31.000Z | [
"pytorch",
"hierarchical_model",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | allenai | null | allenai/hvila-row-layoutlm-finetuned-grotoap2 | 25 | null | transformers | 7,646 | Entry not found |
amoux/roberta-cord19-1M7k | 9420b723c2a278b030b94d5ba163c1a2c9b3c3ed | 2021-05-20T14:07:22.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"fill-mask",
"english",
"transformers",
"autotrain_compatible"
] | fill-mask | false | amoux | null | amoux/roberta-cord19-1M7k | 25 | null | transformers | 7,647 | ---
language: english
thumbnail: https://github.githubassets.com/images/icons/emoji/unicode/2695.png
widget:
- text: "Lung infiltrates cause significant morbidity and mortality in immunocompromised <mask>."
- text: "Tuberculosis appears to be an important <mask> in endemic regions especially in the non-HIV, non-hematol... |
andi611/bert-base-uncased-ner-conll2003 | efdf72fbab7a8c918dca934caeff9d44b425e163 | 2021-07-07T09:31:59.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | andi611 | null | andi611/bert-base-uncased-ner-conll2003 | 25 | null | transformers | 7,648 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model_index:
- name: bert-base-uncased-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args... |
anechaev/ru_med_gpt3sm_based_on_gpt2 | 80126d892080920c38889f36aa333e730efb3361 | 2022-02-08T12:31:37.000Z | [
"pytorch",
"gpt2",
"text-generation",
"ru",
"transformers",
"PyTorch",
"Transformers",
"license:mit"
] | text-generation | false | anechaev | null | anechaev/ru_med_gpt3sm_based_on_gpt2 | 25 | null | transformers | 7,649 | ---
language:
- ru
tags:
- PyTorch
- Transformers
license: mit
---
# Medical History Model based on ruGPT2 by @sberbank-ai
A simple model for helping medical staff to complete patient's medical histories.
Model used pretrained [sberbank-ai/rugpt3small_based_on_gpt2](https://huggingface.co/sberbank-ai/rugpt3small_base... |
anirudh21/xlnet-base-cased-finetuned-rte | e0554de5feda27c36f8d688b66c626fd6efccd0e | 2022-01-14T07:04:23.000Z | [
"pytorch",
"tensorboard",
"xlnet",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | anirudh21 | null | anirudh21/xlnet-base-cased-finetuned-rte | 25 | null | transformers | 7,650 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: xlnet-base-cased-finetuned-rte
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: rte
metrics:
- name: Accuracy
... |
anton-l/sew-mid-100k-ft-common-language | f5d6e3838a21f0727728bbab8b8cdbc72b08d9f6 | 2021-10-28T10:52:41.000Z | [
"pytorch",
"tensorboard",
"sew",
"audio-classification",
"dataset:common_language",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | audio-classification | false | anton-l | null | anton-l/sew-mid-100k-ft-common-language | 25 | null | transformers | 7,651 | ---
license: apache-2.0
tags:
- audio-classification
- generated_from_trainer
datasets:
- common_language
metrics:
- accuracy
model-index:
- name: sew-mid-100k-ft-common-language
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should p... |
tner/xlm-roberta-large-uncased-mit-movie-trivia | f76e75819f9aa762b8d99c4b1c90f48e19bf0fc4 | 2021-02-13T00:11:57.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-large-uncased-mit-movie-trivia | 25 | null | transformers | 7,652 | # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-large-uncased-mit-movie-trivia")... |
astarostap/distilbert-cased-antisemitic-tweets | 19a14e75df21357ef4393db5b91fe029006552e8 | 2021-02-08T15:03:10.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers",
"license:mit"
] | text-classification | false | astarostap | null | astarostap/distilbert-cased-antisemitic-tweets | 25 | null | transformers | 7,653 | ---
license: mit
widget:
- text: "Jews run the world."
---
This model takes a tweet with the word "jew" in it, and determines if it's antisemitic.
*Training data:*
This model was trained on 4k tweets, where ~50% were labeled as antisemitic.
I labeled them myself based on personal experience and knowledge about co... |
bertin-project/bertin-base-random-exp-512seqlen | e37776eaf95c689c2741bd1eaf3d878177446c92 | 2021-09-23T13:41:57.000Z | [
"pytorch",
"jax",
"tensorboard",
"joblib",
"roberta",
"fill-mask",
"es",
"transformers",
"spanish",
"license:cc-by-4.0",
"autotrain_compatible"
] | fill-mask | false | bertin-project | null | bertin-project/bertin-base-random-exp-512seqlen | 25 | null | transformers | 7,654 | ---
language: es
license: cc-by-4.0
tags:
- spanish
- roberta
pipeline_tag: fill-mask
widget:
- text: Fui a la librería a comprar un <mask>.
---
This is a **RoBERTa-base** model trained from scratch in Spanish.
The training dataset is [mc4](https://huggingface.co/datasets/bertin-project/mc4-es-sampled ) subsampling d... |
boris/xlsr-en-punctuation | b84241b8a6b9369e23df651d7377bb9dc9aec475 | 2021-07-05T23:33:26.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"en",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | boris | null | boris/xlsr-en-punctuation | 25 | 2 | transformers | 7,655 | ---
language: en
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
license: apache-2.0
model-index:
- name: English XLSR Wav2Vec2 Large 53 with punctuation
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: C... |
bs-modeling-metadata/html-metadata-exp1-subexp3-1898197 | a6ee6dea3fa030453b4dfe7a0e0c82d96cf99438 | 2021-11-13T09:28:07.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | bs-modeling-metadata | null | bs-modeling-metadata/html-metadata-exp1-subexp3-1898197 | 25 | 1 | transformers | 7,656 | ---
widget:
- text: " htmlOn ||| <h1"
---
# Work In Progress
# How to use?
To generate text with HTML, the sentence must start with ` htmlOn |||` (note the space at the beginning 😉). To generate normal text, you don't need to add anything.
# Training details
We continued the pre-training of [gpt2](https://huggi... |
cahya/wav2vec2-base-turkish-artificial-cv | 24eecc3f4587cc456728e2480cd7f469f16c2dda | 2022-02-01T19:34:46.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"tr",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | cahya | null | cahya/wav2vec2-base-turkish-artificial-cv | 25 | 2 | transformers | 7,657 | ---
language: tr
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Wav2Vec2 Base Turkish by Cahya
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
... |
cardiffnlp/twitter-roberta-base-stance-hillary | 62c5ae9d789d4de334e5b3f1b8b85d152dfaacde | 2021-05-20T15:12:15.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | cardiffnlp | null | cardiffnlp/twitter-roberta-base-stance-hillary | 25 | null | transformers | 7,658 | |
csarron/ViLT-VQAv2 | 87370f049b2fcc42db1b6f93b560020dde1cb4f6 | 2021-12-16T20:00:34.000Z | [
"pytorch",
"vilt",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | csarron | null | csarron/ViLT-VQAv2 | 25 | null | transformers | 7,659 | Entry not found |
digit82/dialog-sbert-base | cd2aff78addcb9283c865919ca82941769f35b46 | 2021-10-15T08:46:04.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | digit82 | null | digit82/dialog-sbert-base | 25 | null | transformers | 7,660 | Entry not found |
federicopascual/finetuning-sentiment-model-3000-samples-testcopy | fa24172eb4eed19b4732ed61e3ad6ca2952d85a9 | 2022-01-04T14:34:49.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | federicopascual | null | federicopascual/finetuning-sentiment-model-3000-samples-testcopy | 25 | 1 | transformers | 7,661 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples-testcopy
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_tex... |
ghadeermobasher/BC5CDR-Chemical-Disease-balancedBioM-ELECTRA-Base-Discriminator | eefc00c6370aa09e516e7f3144594e5d66c04483 | 2022-01-22T23:14:13.000Z | [
"pytorch",
"electra",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC5CDR-Chemical-Disease-balancedBioM-ELECTRA-Base-Discriminator | 25 | null | transformers | 7,662 | Entry not found |
groar/gpt-neo-1.3B-finetuned-escape2 | 1955cc861abf3eeef407905200da2db228110e38 | 2022-02-13T20:59:30.000Z | [
"pytorch",
"tensorboard",
"gpt_neo",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | groar | null | groar/gpt-neo-1.3B-finetuned-escape2 | 25 | null | transformers | 7,663 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: gpt-neo-1.3B-finetuned-escape2
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. -->
# gpt-... |
huggingtweets/angularocean | 52d038360c268fe51c60023263011ee756ac21f8 | 2021-05-21T19:01:01.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/angularocean | 25 | null | transformers | 7,664 | ---
language: en
thumbnail: https://www.huggingtweets.com/angularocean/1616713094074/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/122076469182... |
huggingtweets/degrassinocontx | f1f7b87d747fd7ecc66f4fd24c324e0c390fa060 | 2021-05-22T01:10:02.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/degrassinocontx | 25 | null | transformers | 7,665 | ---
language: en
thumbnail: https://www.huggingtweets.com/degrassinocontx/1614122429501/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/136115117... |
huggingtweets/downgrad3d | bcef1e3105d49f5bea9689944611e555d002d1d5 | 2021-05-22T02:08:56.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/downgrad3d | 25 | null | transformers | 7,666 | ---
language: en
thumbnail: https://www.huggingtweets.com/downgrad3d/1614303163871/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/13632176655868... |
huggingtweets/gwenvara_ | 8dda964ce1cfd74b1e023b3b0ae9c6c3b3dffd80 | 2021-05-22T06:23:47.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/gwenvara_ | 25 | null | transformers | 7,667 | ---
language: en
thumbnail: https://www.huggingtweets.com/gwenvara_/1616736053941/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/136459966401669... |
huggingtweets/mariobrothblog | 4c8d81bbb5f035967ecedd306eb3eca89ad122de | 2021-05-22T13:22:25.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/mariobrothblog | 25 | null | transformers | 7,668 | ---
language: en
thumbnail: https://www.huggingtweets.com/mariobrothblog/1614433919886/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/8828664218... |
huggingtweets/markiplier | b3154d1ba522b085d41b445973ac6a84c74f3f6d | 2022-06-07T22:46:28.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/markiplier | 25 | null | transformers | 7,669 | ---
language: en
thumbnail: http://www.huggingtweets.com/markiplier/1654641978193/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; widt... |
jonatasgrosman/wav2vec2-large-xlsr-53-finnish | 004a7893e332cc1fa9aa66d2c089ce6b2fd73365 | 2022-07-27T23:35:08.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"fi",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/wav2vec2-large-xlsr-53-finnish | 25 | 1 | transformers | 7,670 | ---
language: fi
datasets:
- common_voice
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Finnish by Jonatas Grosman
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
... |
l3cube-pune/marathi-roberta | 2cf9635825613fcb8f9998d729be457c069a7a3d | 2022-06-26T15:13:30.000Z | [
"pytorch",
"xlm-roberta",
"fill-mask",
"mr",
"dataset:L3Cube-MahaCorpus",
"arxiv:2202.01159",
"transformers",
"license:cc-by-4.0",
"autotrain_compatible"
] | fill-mask | false | l3cube-pune | null | l3cube-pune/marathi-roberta | 25 | null | transformers | 7,671 | ---
license: cc-by-4.0
language: mr
datasets:
- L3Cube-MahaCorpus
---
## MahaRoBERTa
MahaRoBERTa is a Marathi RoBERTa model. It is a multilingual RoBERTa (xlm-roberta-base) model fine-tuned on L3Cube-MahaCorpus and other publicly available Marathi monolingual datasets.
[dataset link] (https://github.com/l3cube-pune/M... |
maelfabien/marcel_customer_service | 0a565dec20552e2d362360977d62cc31f04fdcdc | 2021-04-13T15:43:17.000Z | [
"pytorch",
"camembert",
"text-generation",
"transformers"
] | text-generation | false | maelfabien | null | maelfabien/marcel_customer_service | 25 | null | transformers | 7,672 | Entry not found |
manishiitg/longformer-recruit-qa-v2 | 500bf274767bed2914a3134f887283dc08c1caa9 | 2020-11-11T12:52:27.000Z | [
"pytorch",
"longformer",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | manishiitg | null | manishiitg/longformer-recruit-qa-v2 | 25 | null | transformers | 7,673 | Entry not found |
monsoon-nlp/sanaa-dialect | fb62a0548871ee77757970c04c3397b89eaa62d5 | 2021-05-23T10:06:09.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"ar",
"transformers"
] | text-generation | false | monsoon-nlp | null | monsoon-nlp/sanaa-dialect | 25 | null | transformers | 7,674 | ---
language: ar
---
# Sanaa-Dialect
## Finetuned Arabic GPT-2 demo
This is a small GPT-2 model, originally trained on Arabic Wikipedia circa September 2020 ,
finetuned on dialect datasets from Qatar University, University of British Columbia / NLP,
and Johns Hopkins University / LREC
- https://qspace.qu.edu.qa/hand... |
mrm8488/t5-small-finetuned-imdb-sentiment | 366602ca7b51fbd343f18fbd788ded1f1f910f8e | 2021-06-23T13:08:40.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:imdb",
"arxiv:1910.10683",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | mrm8488 | null | mrm8488/t5-small-finetuned-imdb-sentiment | 25 | null | transformers | 7,675 | ---
language: en
datasets:
- imdb
---
# T5-small fine-tuned for Sentiment Anlalysis 🎞️👍👎
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) [small](https://huggingface.co/t5-small) fine-tuned on [IMDB](https://huggingface.co/datasets/imdb) dataset for **Sentiment Analysis** ... |
napoler/bart-chinese-6-960-words-pkuseg | e306b3eff430af89ec1389496885ba27e7b78280 | 2021-10-25T15:05:51.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | napoler | null | napoler/bart-chinese-6-960-words-pkuseg | 25 | null | transformers | 7,676 | # 使用
这个模型是在uer/bart-chinese-6-960-cluecorpussmall基础上训练的，数据量不是很大，但是修改了默认分词。
使用pkuseg分词，禁用BertTokenizer的do_basic_tokenize分词，不禁用do_basic_tokenize的话会把正常词汇按照逐字分词，禁用后可以导入自己的分词方案。
pip install git+https://github.com/napoler/tkit-AutoTokenizerPosition
```python
import pkuseg
from tkitAutoTokenizerPosition.AutoPos import Auto... |
ozcangundes/mt5-small-turkish-squad | b22d4c440211d4f17c3a6efe15d82689ce88fae9 | 2021-09-22T09:31:24.000Z | [
"pytorch",
"jax",
"mt5",
"text2text-generation",
"tr",
"dataset:TQUAD",
"transformers",
"license:mit",
"question-answering",
"autotrain_compatible"
] | question-answering | false | ozcangundes | null | ozcangundes/mt5-small-turkish-squad | 25 | null | transformers | 7,677 | ---
language: tr
datasets:
- TQUAD
pipeline_tag: question-answering
license: mit
---
# mT5-small based Turkish Question Answering System
[Google's Multilingual T5-small](https://github.com/google-research/multilingual-t5) is fine-tuned on [Turkish Question Answering dataset](https://github.com/TQuad/turkish-nlp-qa-da... |
p208p2002/qmst-qgg | 75231044843f44320bfec01ce383e0552f4a1642 | 2022-01-10T07:55:07.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | p208p2002 | null | p208p2002/qmst-qgg | 25 | null | transformers | 7,678 | # EQGG: Educational Question Group Generation
<span>
<a target="_blank" href="https://github.com/p208p2002/Neural-Question-Group-Generation">
<img src="https://img.shields.io/badge/GitHub-100000?style=for-the-badge&logo=github&logoColor=white">
</a>
<a target="_blank" href="https://huggingface.co/p208p2002/qmst-qgg">
... |
pere/DeUnCaser | 29469c0d8a800c8c322d3c4a6f84a31fbe1347fb | 2022-02-03T10:45:01.000Z | [
"pytorch",
"t5",
"text2text-generation",
"no",
"transformers",
"translation",
"license:cc-by-4.0",
"autotrain_compatible"
] | translation | false | pere | null | pere/DeUnCaser | 25 | null | transformers | 7,679 | ---
language: no
tags:
- translation
widget:
- text: "moscow says deployments in eastern europe increase tensions nato says russia has moved troops to belarus"
- text: "dette er en liten test som er laget av per egil kummervold han er en forsker som tidligere jobbet ved nasjonalbiblioteket"
- text: "tirsdag var ... |
pszemraj/led-base-16384-finetuned-booksum | c8c7c9fe460614290baa65968d78c34b3a383d8d | 2022-02-06T03:14:01.000Z | [
"pytorch",
"led",
"text2text-generation",
"en",
"dataset:kmfoda/booksum",
"arxiv:2105.08209",
"transformers",
"summarization",
"summary",
"longformer",
"license:apache-2.0",
"autotrain_compatible"
] | summarization | false | pszemraj | null | pszemraj/led-base-16384-finetuned-booksum | 25 | null | transformers | 7,680 | ---
language:
- en
tags:
- summarization
- led
- summary
- longformer
license: apache-2.0
datasets:
- kmfoda/booksum
metrics:
- rouge
widget:
- text: "large earthquakes along a given fault segment do not occur at random intervals because it takes time to accumulate the strain energy for the rupture. The rates at which... |
saattrupdan/employment-contract-ner-da | 6f29e2525cf4c3521fe0c727d5778f62e1ec48d7 | 2022-02-09T15:21:34.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"da",
"transformers",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | saattrupdan | null | saattrupdan/employment-contract-ner-da | 25 | 1 | transformers | 7,681 | ---
language:
- da
license: mit
model-index:
- name: contract-ner-model-da
results: []
widget:
- "Medarbejderen starter arbejdet den 1. januar 2020 og afslutter arbejdet den 21. januar 2020. Den ugentlige arbejdstid er 37 timer, og medarbejderen bliver aflønnet med 23.000,00 kr. om måneden. Arbejdsstedet er Supervej ... |
soikit/chinese-bert-wwm-chinese_bert_wwm1 | b84cc2694eb2f5de14eba2c59435736e59e77397 | 2021-10-20T12:51:19.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | soikit | null | soikit/chinese-bert-wwm-chinese_bert_wwm1 | 25 | null | transformers | 7,682 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: chinese-bert-wwm-chinese_bert_wwm1
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. -->
# ... |
sultan/BioM-ELECTRA-Base-SQuAD2 | d94a78b570bf961f9500d7d8785689544fa6cfa7 | 2021-08-06T22:31:58.000Z | [
"pytorch",
"electra",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | sultan | null | sultan/BioM-ELECTRA-Base-SQuAD2 | 25 | null | transformers | 7,683 | # BioM-Transformers: Building Large Biomedical Language Models with BERT, ALBERT and ELECTRA
# Abstract
The impact of design choices on the performance
of biomedical language models recently
has been a subject for investigation. In
this paper, we empirically study biomedical
domain adaptation with large transformer ... |
textattack/bert-base-cased-STS-B | 775657b25867bee0a475785f99005b71a2ad2246 | 2021-05-20T07:30:08.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | textattack | null | textattack/bert-base-cased-STS-B | 25 | null | transformers | 7,684 | ## TextAttack Model Card
This `bert-base-cased` model was fine-tuned for sequence classificationusing TextAttack
and the glue dataset loaded using the `nlp` library. The model was fine-tuned
for 3 epochs with a batch size of 128, a learning
rate of 1e-05, and a maximum sequence length of 128.
... |
thefryingpan/gpt-neo-125M-splishy | 046e30492a05679a149bfc796ead28c6eddc6cce | 2021-12-15T03:39:26.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"conversational"
] | conversational | false | thefryingpan | null | thefryingpan/gpt-neo-125M-splishy | 25 | null | transformers | 7,685 | ---
tags:
- conversational
---
# Chat Boi |
tomascufaro/wav2vec2-large-xls-r-300m-spanish-small-v3 | c079cae8ffa225f9c5ef1af17edba4324420c239 | 2022-02-03T15:57:54.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"es",
"robust-speech-event",
"generated_from_trainer",
"model-index"
] | automatic-speech-recognition | false | tomascufaro | null | tomascufaro/wav2vec2-large-xls-r-300m-spanish-small-v3 | 25 | null | transformers | 7,686 | ---
tags:
- "es"
- "robust-speech-event"
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-spanish-small-v3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and co... |
uclanlp/plbart-single_task-en_python | cc76056cf7f412000e4d5470baea8540f3c9e60c | 2022-03-02T07:07:37.000Z | [
"pytorch",
"plbart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | uclanlp | null | uclanlp/plbart-single_task-en_python | 25 | null | transformers | 7,687 | Entry not found |
ufal/byt5-small-multilexnorm2021-es | 25efaf304522e126f10d521a13e333b78df063f1 | 2021-10-20T12:22:41.000Z | [
"pytorch",
"t5",
"text2text-generation",
"es",
"dataset:mc4",
"dataset:wikipedia",
"dataset:multilexnorm",
"arxiv:2105.13626",
"arxiv:1907.06292",
"transformers",
"lexical normalization",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | ufal | null | ufal/byt5-small-multilexnorm2021-es | 25 | 1 | transformers | 7,688 | ---
language: es
datasets:
- mc4
- wikipedia
- multilexnorm
tags:
- lexical normalization
license: apache-2.0
---
# Fine-tuned ByT5-small for MultiLexNorm (Spanish version)
This is the official release of the fine-tuned models for *... |
Jorgeutd/bert-base-uncased-finetuned-surveyclassification | c00496861cfbbb36e2c418b395ad9de4ef8ac765 | 2022-02-24T16:34:18.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Jorgeutd | null | Jorgeutd/bert-base-uncased-finetuned-surveyclassification | 25 | null | transformers | 7,689 | ---
license: apache-2.0
tags:
- generated_from_trainer
language: en
widget:
- text: "The agent on the phone was very helpful and nice to me."
metrics:
- accuracy
- f1
model-index:
- name: bert-base-uncased-finetuned-surveyclassification
results: []
---
<!-- This model card has been generated automatically according ... |
niksmer/PolicyBERTa-7d | 68d7480405941217d63f6a4dce9b1ec4a3ca9889 | 2022-03-24T09:19:57.000Z | [
"pytorch",
"roberta",
"text-classification",
"en",
"transformers",
"license:mit",
"model-index"
] | text-classification | false | niksmer | null | niksmer/PolicyBERTa-7d | 25 | null | transformers | 7,690 | ---
license: mit
language:
- en
metrics:
- accuracy
- precision
- recall
model-index:
- name: PolicyBERTa-7d
results: []
widget:
- text: "Russia must end the war."
- text: "Democratic institutions must be supported."
- text: "The state must fight political corruption."
- text: "Our energy economy must be nationalis... |
lgris/base_10k_8khz_pt | 52b834283f4171b6f693ae0fd481b13298b883ce | 2022-02-07T11:53:39.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"pt",
"dataset:common_voice",
"dataset:mls",
"dataset:cetuc",
"dataset:lapsbm",
"dataset:voxforge",
"dataset:tedx",
"dataset:sid",
"transformers",
"audio",
"speech",
"portuguese-speech-corpus",
"PyTorch",
"license:apache-2.0"
] | automatic-speech-recognition | false | lgris | null | lgris/base_10k_8khz_pt | 25 | null | transformers | 7,691 | ---
language: pt
datasets:
- common_voice
- mls
- cetuc
- lapsbm
- voxforge
- tedx
- sid
metrics:
- wer
tags:
- audio
- speech
- wav2vec2
- pt
- portuguese-speech-corpus
- automatic-speech-recognition
- speech
- PyTorch
license: apache-2.0
---
# Wav2vec 2.0 for Portuguese in 8kHz
This is a fine-tuned model from [fac... |
DMetaSoul/sbert-chinese-qmc-finance-v1 | b1d140d61af1efc18f23fe4266b5bd74042a3df3 | 2022-04-04T07:21:28.000Z | [
"pytorch",
"bert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers",
"semantic-search",
"chinese"
] | sentence-similarity | false | DMetaSoul | null | DMetaSoul/sbert-chinese-qmc-finance-v1 | 25 | null | sentence-transformers | 7,692 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
- semantic-search
- chinese
---
# DMetaSoul/sbert-chinese-qmc-finance-v1
此模型基于 [bert-base-chinese](https://huggingface.co/bert-base-chinese) 版本 BERT 模型，在大规模银行问题匹配数据集（[BQCorpus](http://icrc.hit... |
everdoubling/byt5-Korean-base | f1038830499bfc8c87bb4da48e4f0c85f715b87c | 2022-05-29T08:35:55.000Z | [
"pytorch",
"t5",
"text2text-generation",
"dataset:mc4",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | everdoubling | null | everdoubling/byt5-Korean-base | 25 | 1 | transformers | 7,693 | ---
datasets:
- mc4
license: apache-2.0
---
# ByT5-Korean - base
ByT5-Korean is a Korean specific extension of Google's [ByT5](https://github.com/google-research/byt5).
A Korean syllable has three components (called Jamo): a beginning consonant, a middle vowel, and an optional final consonant; they are lik... |
Yoonseong/climatebert_trained | dc96ec8587338909ec23cd4db828b448f23220b6 | 2022-05-19T00:53:38.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers",
"license:mit"
] | text-classification | false | Yoonseong | null | Yoonseong/climatebert_trained | 25 | null | transformers | 7,694 | ---
license: mit
---
|
hackathon-pln-es/t5-small-spanish-nahuatl | 814181b8d71b304f7e64a2d5dce1fac5c663b94f | 2022-07-28T03:09:47.000Z | [
"pytorch",
"t5",
"text2text-generation",
"es",
"nah",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | hackathon-pln-es | null | hackathon-pln-es/t5-small-spanish-nahuatl | 25 | 7 | transformers | 7,695 | ---
license: apache-2.0
language:
- es
- nah
tags:
- translation
widget:
- text: "translate Spanish to Nahuatl: Mi hermano es un ajolote"
---
# t5-small-spanish-nahuatl
Nahuatl is the most widely spoken indigenous language in Mexico. However, training a neural network for the neural machine translation task is chal... |
xaqren/sentiment_analysis | b539ca0c9dd51e962fabde4f7c4093ff0f185466 | 2022-04-08T14:59:55.000Z | [
"pytorch",
"distilbert",
"text-classification",
"en",
"dataset:Confidential",
"arxiv:1810.04805",
"transformers",
"exbert",
"license:apache-2.0"
] | text-classification | false | xaqren | null | xaqren/sentiment_analysis | 25 | 1 | transformers | 7,696 | ---
language: en
tags:
- exbert
license: apache-2.0
datasets:
- Confidential
---
# BERT base model (uncased)
Pretrained model on English language using a masked language modeling (MLM) objective. It was introduced in
[this paper](https://arxiv.org/abs/1810.04805) and first released in
[this repository](https://github.... |
nielsr/sidewalk-semantic-demo | 2ef7e0a35b87979f4e72ca1bf8e46f5410edbeb9 | 2022-04-06T15:53:42.000Z | [
"pytorch",
"tensorboard",
"segformer",
"dataset:segments/sidewalk-semantic",
"transformers",
"vision",
"generated_from_trainer",
"image-segmentation",
"license:apache-2.0",
"model-index"
] | image-segmentation | false | nielsr | null | nielsr/sidewalk-semantic-demo | 25 | null | transformers | 7,697 | ---
license: apache-2.0
tags:
- vision
- generated_from_trainer
- image-segmentation
datasets:
- segments/sidewalk-semantic
model-index:
- name: sidewalk-semantic-demo
results: []
widget:
- src: https://segmentsai-prod.s3.eu-west-2.amazonaws.com/assets/admin-tobias/439f6843-80c5-47ce-9b17-0b2a1d54dbeb.jpg
example_t... |
Helsinki-NLP/opus-mt-tc-big-et-en | 294ac8515bf556def3b8ee4a0c5927bef475b726 | 2022-06-01T12:59:41.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"et",
"transformers",
"translation",
"opus-mt-tc",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tc-big-et-en | 25 | null | transformers | 7,698 | ---
language:
- en
- et
tags:
- translation
- opus-mt-tc
license: cc-by-4.0
model-index:
- name: opus-mt-tc-big-et-en
results:
- task:
name: Translation est-eng
type: translation
args: est-eng
dataset:
name: flores101-devtest
type: flores_101
args: est eng devtest
metrics... |
Barkavi/totto-t5-base-bleu-121K | 7b7c6dba3435dc61537b2bd1a422b65d4c517c1d | 2022-04-30T14:50:41.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Barkavi | null | Barkavi/totto-t5-base-bleu-121K | 25 | null | transformers | 7,699 | Entry not found |
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