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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Helsinki-NLP/opus-mt-es-eo | 328750dfd8c4f2e8e6d7479e87f05ae2f4f95ba8 | 2021-09-09T21:42:09.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"eo",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-eo | 19 | null | transformers | 8,500 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-eo
* source languages: es
* target languages: eo
* OPUS readme: [es-eo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-eo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-es-pap | 9bf9bd9f49dcd2195d87c7ed9a23f77757b2aa5f | 2021-09-09T21:44:05.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"pap",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-pap | 19 | null | transformers | 8,501 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-pap
* source languages: es
* target languages: pap
* OPUS readme: [es-pap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-pap/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-kg-en | 2ae3fc0fcb26dd12365e7f258811e2e428eb4dcc | 2021-09-10T13:53:38.000Z | [
"pytorch",
"marian",
"text2text-generation",
"kg",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-kg-en | 19 | null | transformers | 8,502 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-kg-en
* source languages: kg
* target languages: en
* OPUS readme: [kg-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kg-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-kj-en | 45173abc2325ee785dba5f13d0b2187821c5dbba | 2021-09-10T13:53:53.000Z | [
"pytorch",
"marian",
"text2text-generation",
"kj",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-kj-en | 19 | null | transformers | 8,503 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-kj-en
* source languages: kj
* target languages: en
* OPUS readme: [kj-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kj-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-lt-es | 3b6375db9c99783dcf81185d7ec195e1c042287a | 2020-08-21T14:42:47.000Z | [
"pytorch",
"marian",
"text2text-generation",
"lt",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-lt-es | 19 | 1 | transformers | 8,504 | ---
language:
- lt
- es
tags:
- translation
license: apache-2.0
---
### lit-spa
* source group: Lithuanian
* target group: Spanish
* OPUS readme: [lit-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-spa/README.md)
* model: transformer-align
* source language(s): lit
* target lang... |
Helsinki-NLP/opus-mt-no-es | 86129a9d93281a20e0b866f623b16069db6de89c | 2020-08-21T14:42:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"no",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-no-es | 19 | null | transformers | 8,505 | ---
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... |
Helsinki-NLP/opus-mt-pis-en | f52fc9014a82ce8e4bd5fedc3999f81d21ec348a | 2021-09-10T14:00:52.000Z | [
"pytorch",
"marian",
"text2text-generation",
"pis",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-pis-en | 19 | null | transformers | 8,506 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-pis-en
* source languages: pis
* target languages: en
* OPUS readme: [pis-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pis-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-pqe-en | 2a3bb445918ac990acf6f8e396ad64596ffed886 | 2020-08-21T14:42:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fj",
"mi",
"ty",
"to",
"na",
"sm",
"mh",
"pqe",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-pqe-en | 19 | null | transformers | 8,507 | ---
language:
- fj
- mi
- ty
- to
- na
- sm
- mh
- pqe
- en
tags:
- translation
license: apache-2.0
---
### pqe-eng
* source group: Eastern Malayo-Polynesian languages
* target group: English
* OPUS readme: [pqe-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pqe-eng/README.md)
* mod... |
Helsinki-NLP/opus-mt-rnd-en | a0592c9da10200300f038ee7e916eed2e0fbd246 | 2021-09-10T14:01:52.000Z | [
"pytorch",
"marian",
"text2text-generation",
"rnd",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-rnd-en | 19 | null | transformers | 8,508 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-rnd-en
* source languages: rnd
* target languages: en
* OPUS readme: [rnd-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/rnd-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-tl-es | a802dd67efb503718fa025a2c4e91fd026a5c1e9 | 2020-08-21T14:42:51.000Z | [
"pytorch",
"marian",
"text2text-generation",
"tl",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tl-es | 19 | null | transformers | 8,509 | ---
language:
- tl
- es
tags:
- translation
license: apache-2.0
---
### tgl-spa
* source group: Tagalog
* target group: Spanish
* OPUS readme: [tgl-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tgl-spa/README.md)
* model: transformer-align
* source language(s): tgl_Latn
* target la... |
Helsinki-NLP/opus-mt-tll-en | a8f4fe293754493a9385669a126f0f737efa5cf8 | 2021-09-11T10:48:19.000Z | [
"pytorch",
"marian",
"text2text-generation",
"tll",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tll-en | 19 | null | transformers | 8,510 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-tll-en
* source languages: tll
* target languages: en
* OPUS readme: [tll-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tll-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-tpi-en | 9d106deeef1145ca9e034cb4ebae8d0545e98e7d | 2021-09-11T10:49:28.000Z | [
"pytorch",
"marian",
"text2text-generation",
"tpi",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tpi-en | 19 | null | transformers | 8,511 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-tpi-en
* source languages: tpi
* target languages: en
* OPUS readme: [tpi-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/tpi-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Holako/NER_CAMELBERT | b48ec7ee4d4655ef43cb611dcdd61a60db7411e7 | 2022-02-23T17:22:41.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Holako | null | Holako/NER_CAMELBERT | 19 | null | transformers | 8,512 | Testing NER |
JorgeSarry/est5base-simplify | cea9bbfa31d3993e411ac058d39b8eeede2c5997 | 2021-09-20T08:42:39.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"es",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | JorgeSarry | null | JorgeSarry/est5base-simplify | 19 | null | transformers | 8,513 | ---
language: es
---
This is a smaller version of the google/mt5-base model with only Spanish and some English embeddings trained on 60k Spanish WikiEdits for sentence simplification.
You can use it with the command "simplify:"
|
Jorgeutd/sagemaker-roberta-base-emotion | 08d5c624b85f453bdf779fa2ebff3029d63c11c5 | 2021-12-06T16:57:21.000Z | [
"pytorch",
"roberta",
"text-classification",
"en",
"dataset:emotion",
"transformers",
"sagemaker",
"roberta-base",
"text classification",
"license:apache-2.0",
"model-index"
] | text-classification | false | Jorgeutd | null | Jorgeutd/sagemaker-roberta-base-emotion | 19 | null | transformers | 8,514 |
---
language: en
widget:
- text: "I am really upset that I have to call up to three times to the number on the back of my insurance card for my call to be answer"
tags:
- sagemaker
- roberta-base
- text classification
license: apache-2.0
datasets:
- emotion
model-index:
- name: sagemaker-roberta-base-emotion
results... |
Littlemilk/autobiography-generator | 9342dd04520234a2502b65e3cc74f23d9fd59d3a | 2022-01-09T17:15:14.000Z | [
"pytorch",
"gpt2",
"text-generation",
"zh",
"transformers",
"generated_from_trainer",
"license:gpl-3.0",
"model-index"
] | text-generation | false | Littlemilk | null | Littlemilk/autobiography-generator | 19 | 2 | transformers | 8,515 | ---
language:
- zh
license: gpl-3.0
tags:
- generated_from_trainer
model-index:
- name: clm-total
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. -->
# clm-total
Th... |
Luciano/bertimbau-large-lener_br | 867c6fe10f58d8394213e349917e6aaaf5baa85c | 2022-06-28T11:42:23.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"pt",
"dataset:lener_br",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | Luciano | null | Luciano/bertimbau-large-lener_br | 19 | 1 | transformers | 8,516 | ---
language:
- pt
license: mit
tags:
- generated_from_trainer
datasets:
- lener_br
metrics:
- precision
- recall
- f1
- accuracy
model_index:
- name: bertimbau-large-lener_br
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: lener_br
type: lener_br
... |
Mary222/SBERBANK_RUS | c085a557fc5d571a451ea68f25af2d2233d7436d | 2021-11-04T16:30:38.000Z | [
"pytorch",
"gpt2",
"text-generation",
"ru",
"transformers"
] | text-generation | false | Mary222 | null | Mary222/SBERBANK_RUS | 19 | 1 | transformers | 8,517 | ---
language: ru
tags:
- text-generation
---
# GPT2 - RUS |
MohamedZaitoon/T5-CNN | bbcacff360925f67c7cf991f25ee7d0268cfcc6c | 2021-06-12T14:56:25.000Z | [
"pytorch",
"dataset:CNN/Daily-mail",
"summarization"
] | summarization | false | MohamedZaitoon | null | MohamedZaitoon/T5-CNN | 19 | null | null | 8,518 | ---
tags:
- summarization
datasets:
- CNN/Daily-mail
metrics:
- ROUGE
---
|
MrBananaHuman/kogpt_6b_fp16 | 6838fe6947a0f18817273922bd61280ac33f4e33 | 2021-11-19T06:23:58.000Z | [
"pytorch",
"gptj",
"text-generation",
"transformers"
] | text-generation | false | MrBananaHuman | null | MrBananaHuman/kogpt_6b_fp16 | 19 | 4 | transformers | 8,519 | kakao brain에서 공개한 kogpt 6b model('kakaobrain/kogpt')을 fp16으로 저장한 모델입니다.
### 카카오브레인 모델을 fp16으로 로드하는 방법
```python
import torch
from transformers import GPTJForCausalLM
model = GPTJForCausalLM.from_pretrained('kakaobrain/kogpt', cache_dir='./my_dir', revision='KoGPT6B-ryan1.5b', torch_dtype=torch.float16)
```
### fp16... |
NYTK/sentiment-hts2-xlm-roberta-hungarian | 9e78df9fa3fe207531cd8eaf27a80a23fcf3d9e4 | 2022-01-26T13:20:37.000Z | [
"pytorch",
"roberta",
"text-classification",
"hu",
"transformers",
"license:gpl"
] | text-classification | false | NYTK | null | NYTK/sentiment-hts2-xlm-roberta-hungarian | 19 | null | transformers | 8,520 | ---
language:
- hu
tags:
- text-classification
license: gpl
metrics:
- accuracy
widget:
- text: "Jó reggelt! majd küldöm az élményhozókat :)."
---
# Hungarian Sentence-level Sentiment Analysis model with XLM-RoBERTa
For further models, scripts and details, see [our repository](https://github.com/nytud/sentiment-... |
Nehc/gpt2_lovecraft_ru | 28364a75e604ebfcebdc7d6aa595b0a476c96262 | 2021-10-27T11:30:26.000Z | [
"pytorch",
"gpt2",
"text-generation",
"ru",
"transformers"
] | text-generation | false | Nehc | null | Nehc/gpt2_lovecraft_ru | 19 | 1 | transformers | 8,521 | ---
language:
- ru
widget:
- text: "Немыслимо, "
metrics:
- loss: 3.3
- perplexity: 25.7528
---
Start from sberbank-ai/rugpt3small_based_on_gpt2 and finetuning on Govard Phillips Lovecraft texts (russian).
On this moment - only 1 epoch (perplexity falls reasons)
on progress...
|
Nehc/gpt2_priest_ru | cb134d4f4c652f0ec2f36b1dada8c8acbba5b364 | 2022-06-20T18:13:09.000Z | [
"pytorch",
"gpt2",
"text-generation",
"ru",
"transformers"
] | text-generation | false | Nehc | null | Nehc/gpt2_priest_ru | 19 | null | transformers | 8,522 | ---
language:
- ru
widget:
- text: "Бог, это "
metrics:
- loss: 3.3
- perplexity: 25.7528
---
Start from sberbank-ai/rugpt3small_based_on_gpt2 and finetuning on Biblie & preaching (russian).
On this moment - only 1 epoch, 1650 seq length
on progress... |
Shahm/bert-german | 688e0f9406e51bf801cc3aef317c74b8d2874ac9 | 2021-12-21T12:18:05.000Z | [
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"dataset:mlsum",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | fill-mask | false | Shahm | null | Shahm/bert-german | 19 | null | transformers | 8,523 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- mlsum
model-index:
- name: plus-bert-german
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# plus-be... |
Smone55/autonlp-au_topics-452311620 | 2fe19dd4076459eaf5d0260086b54233229da2bb | 2021-12-28T01:56:22.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"dataset:Smone55/autonlp-data-au_topics",
"transformers",
"autonlp",
"co2_eq_emissions"
] | text-classification | false | Smone55 | null | Smone55/autonlp-au_topics-452311620 | 19 | null | transformers | 8,524 | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- Smone55/autonlp-data-au_topics
co2_eq_emissions: 208.0823957145878
---
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 452311620
- CO2 Emissions (in grams): 208.0823957145878
## Validation Metrics
- L... |
Tahsin/BERT-finetuned-conll2003-POS | 6a560e8c993723738099bcc52c86eb12c059a5da | 2022-01-05T21:04:56.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | Tahsin | null | Tahsin/BERT-finetuned-conll2003-POS | 19 | null | transformers | 8,525 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-pos
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args: c... |
Yehor/wav2vec2-xls-r-300m-uk-with-lm | 1cb4e3d5bc12e65deb8e9f0d38a6266b581048dc | 2022-07-30T07:01:36.000Z | [
"pytorch",
"wav2vec2",
"pretraining",
"uk",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"automatic-speech-recognition",
"mozilla-foundation/common_voice_7_0",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | Yehor | null | Yehor/wav2vec2-xls-r-300m-uk-with-lm | 19 | 3 | transformers | 8,526 | ---
language:
- uk
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_7_0
- generated_from_trainer
- uk
datasets:
- mozilla-foundation/common_voice_7_0
model-index:
- name: wav2vec2-xls-r-300m-uk-with-lm
results:
- task:
name: Automatic Speech Recognition
type: ... |
aditi2222/t5-paraphrase | 378e0760e04a8361ea3cf68314f5bc73c083ef5f | 2021-11-28T07:35:16.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | aditi2222 | null | aditi2222/t5-paraphrase | 19 | null | transformers | 8,527 | T5 model
This is a sentence-transformers mode |
airKlizz/mt5-base-wikinewssum-italian | fc245cdb64505430b8a898fb274b8461d71845f4 | 2021-12-29T10:55:47.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | airKlizz | null | airKlizz/mt5-base-wikinewssum-italian | 19 | null | transformers | 8,528 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-base-wikinewssum-italian
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 r... |
airKlizz/mt5-base-wikinewssum-polish | 910dd53cd7227da0c3bb03087b0686dbe0e9eacb | 2021-12-27T00:24:41.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | airKlizz | null | airKlizz/mt5-base-wikinewssum-polish | 19 | null | transformers | 8,529 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-base-wikinewssum-polish
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then re... |
algoprog/mimics-query-facet-encoder-mpnet-base | d818d848bf14777655687dc8dedfa522e4df78b5 | 2022-02-24T02:03:36.000Z | [
"pytorch",
"mpnet",
"feature-extraction",
"transformers"
] | feature-extraction | false | algoprog | null | algoprog/mimics-query-facet-encoder-mpnet-base | 19 | null | transformers | 8,530 | Entry not found |
aliosm/ComVE-gpt2 | 488b7b14eeb44ddcce8098356c698dc89b928da9 | 2021-05-21T13:19:25.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"dataset:ComVE",
"transformers",
"exbert",
"commonsense",
"semeval2020",
"comve",
"license:mit"
] | text-generation | false | aliosm | null | aliosm/ComVE-gpt2 | 19 | null | transformers | 8,531 | ---
language: "en"
tags:
- exbert
- commonsense
- semeval2020
- comve
license: "mit"
datasets:
- ComVE
metrics:
- bleu
widget:
- text: "Chicken can swim in water. <|continue|>"
---
# ComVE-gpt2
## Model description
Finetuned model on Commonsense Validation and Explanation (ComVE) dataset introduced in [SemEval2020 T... |
allenai/dsp_roberta_base_dapt_biomed_tapt_chemprot_4169 | 38a508ccc10ecf87b96e4daa0e14dcbb9aacf642 | 2021-05-20T13:04:19.000Z | [
"pytorch",
"jax",
"roberta",
"transformers"
] | null | false | allenai | null | allenai/dsp_roberta_base_dapt_biomed_tapt_chemprot_4169 | 19 | null | transformers | 8,532 | Entry not found |
amazon-sagemaker-community/encoder_decoder_es | ec64a48d1cdca70ba4cee82bd39873b73caf1fe6 | 2021-11-20T05:44:01.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"dataset:cc_news_es_titles",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | amazon-sagemaker-community | null | amazon-sagemaker-community/encoder_decoder_es | 19 | null | transformers | 8,533 | ---
tags:
- generated_from_trainer
datasets:
- cc_news_es_titles
model-index:
- name: encoder_decoder_es
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. -->
# encode... |
andi611/bert-base-cased-ner-conll2003 | 6eabad03cbfe119d6ad72ef45fb38dd4f419718a | 2021-07-03T15:02:02.000Z | [
"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-cased-ner-conll2003 | 19 | null | transformers | 8,534 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model_index:
- name: bert-base-cased-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args: ... |
anirudh21/albert-large-v2-finetuned-rte | 584617ae506f0d620b7393cb7eab4b7961663bf6 | 2022-01-27T18:29:58.000Z | [
"pytorch",
"tensorboard",
"albert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | anirudh21 | null | anirudh21/albert-large-v2-finetuned-rte | 19 | null | transformers | 8,535 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: albert-large-v2-finetuned-rte
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: rte
metrics:
- name: Accu... |
anton-l/wav2vec2-large-xlsr-53-lithuanian | d3bb59b7d33cda19411f924baa399994bc1a2aa9 | 2021-07-05T20:06:38.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"lt",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | anton-l | null | anton-l/wav2vec2-large-xlsr-53-lithuanian | 19 | null | transformers | 8,536 | ---
language: lt
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Lithuanian XLSR Wav2Vec2 Large 53 by Anton Lozhkov
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition... |
appleternity/scibert-uncased-finetuned-coda19 | df32a287d131248505494244dd35ba2354984751 | 2021-05-19T00:01:52.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | appleternity | null | appleternity/scibert-uncased-finetuned-coda19 | 19 | null | transformers | 8,537 | Entry not found |
tner/xlm-roberta-large-panx-dataset-ja | b902fe0d6f1293e0a656eea6348e31d0b27cbc91 | 2021-02-13T00:11:28.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/xlm-roberta-large-panx-dataset-ja | 19 | null | transformers | 8,538 | # 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-panx-dataset-ja")
mod... |
bertin-project/bertin-base-xnli-es | 8b7c57c0e25e18a04411a98083924b07609779bd | 2021-09-23T13:42:09.000Z | [
"pytorch",
"roberta",
"text-classification",
"es",
"transformers",
"spanish",
"xnli",
"license:cc-by-4.0"
] | text-classification | false | bertin-project | null | bertin-project/bertin-base-xnli-es | 19 | 1 | transformers | 8,539 | ---
language: es
license: cc-by-4.0
tags:
- spanish
- roberta
- xnli
---
This checkpoint has been trained for the XNLI dataset.
This checkpoint was created from **Bertin Gaussian 512**, which is a **RoBERTa-base** model trained from scratch in Spanish. Information on this base model may be found at [its own card](htt... |
bettertextapp/bart_large_paraphrase_generator_en_de_v2 | eb1b263b3a60f45b73af239d002faba8f918fc00 | 2022-02-21T21:11:51.000Z | [
"pytorch",
"tensorboard",
"mbart",
"text2text-generation",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | bettertextapp | null | bettertextapp/bart_large_paraphrase_generator_en_de_v2 | 19 | null | transformers | 8,540 | ---
tags:
- generated_from_trainer
model-index:
- name: bart_large_paraphrase_generator_en_de_v2
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. -->
# bart_large_par... |
beyhan/bert-base-turkish-ner-cased-pretrained | a463a0cb156e2c384f851a4667a559bb701e9070 | 2021-05-19T12:37:40.000Z | [
"pytorch",
"jax",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | beyhan | null | beyhan/bert-base-turkish-ner-cased-pretrained | 19 | null | transformers | 8,541 | Entry not found |
boychaboy/MNLI_albert-base-v2 | 116b85250bbdbd945ab7bd486a252f05c84617e5 | 2021-05-14T01:54:43.000Z | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | false | boychaboy | null | boychaboy/MNLI_albert-base-v2 | 19 | null | transformers | 8,542 | Entry not found |
celtics1863/env-bert-cls-chinese | 24dc5f6707bf2fe3b33005949a89c7058a775bec | 2021-10-30T09:27:10.000Z | [
"pytorch",
"bert",
"text-classification",
"zh",
"transformers",
"environment",
"multi-class",
"classification"
] | text-classification | false | celtics1863 | null | celtics1863/env-bert-cls-chinese | 19 | null | transformers | 8,543 | ---
language:
- zh
tags:
- bert
- pytorch
- environment
- multi-class
- classification
---
中文环境文本分类模型，1.6M的数据集，在env-bert-chinese上进行fine-tuning。
分为环境影响评价与控制、碳排放控制、水污染控制、大气污染控制、土壤污染控制、环境生态、固体废物、环境毒理与健康、环境微生物、环境政策与经济10类。
项目正在进行中，后续会陆续更新相关内容。
清华大学环境学院课题组
有相关需求、建议，联系bi.huaibin@foxmail.com |
chitra/finetune-paraphrase-model | ed3e3bf7811f33bdf5237013d235483f924fe34c | 2022-01-19T04:40:57.000Z | [
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | chitra | null | chitra/finetune-paraphrase-model | 19 | null | transformers | 8,544 | ---
tags:
- generated_from_trainer
model-index:
- name: finetune-paraphrase-model
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. -->
# finetune-paraphrase-model
Th... |
chujiezheng/blenderbot-400M-distill-ESC | ac35a26ae42087e7f0ccc5cdcc97d8cda6fa4b69 | 2022-05-22T23:44:57.000Z | [
"pytorch",
"blenderbot",
"text2text-generation",
"arxiv:2106.01144",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | chujiezheng | null | chujiezheng/blenderbot-400M-distill-ESC | 19 | 1 | transformers | 8,545 | [blenderbot-400M-distill](https://huggingface.co/facebook/blenderbot-400M-distill) fine-tuned on [Emotional Support Conversation](https://arxiv.org/pdf/2106.01144.pdf) dataset |
danyaljj/opengpt2_pytorch_backward | 4c14fe78590bfc5f4358cc7c29a6ee8b63a6b96a | 2021-06-16T20:29:52.000Z | [
"pytorch",
"transformers"
] | null | false | danyaljj | null | danyaljj/opengpt2_pytorch_backward | 19 | null | transformers | 8,546 | West et al.'s model from their "reflective decoding" paper.
Sample usage:
```python
import torch
from modeling_opengpt2 import OpenGPT2LMHeadModel
from padded_encoder import Encoder
path_to_backward = 'danyaljj/opengpt2_pytorch_backward'
encoder = Encoder()
model_backward = OpenGPT2LMHeadModel.from_pretrained(pat... |
dpalominop/bert-large-cased-finetuned-ner | d5315d714523389b206e30fdbc9457a131bd6aba | 2021-05-19T16:06:38.000Z | [
"pytorch",
"jax",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | dpalominop | null | dpalominop/bert-large-cased-finetuned-ner | 19 | null | transformers | 8,547 | Entry not found |
edugp/data2vec-nlp-base | 07514a15d71f8cb624fd36aa22300061e27c9677 | 2022-02-03T23:23:15.000Z | [
"pytorch",
"data2vec",
"fill-mask",
"transformers",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | edugp | null | edugp/data2vec-nlp-base | 19 | null | transformers | 8,548 | ---
license: apache-2.0
tags:
model-index:
- name: data2vec-nlp-base
results: []
---
# Data2Vec NLP Base
This model was converted from `fairseq`.
The original weights can be found in https://dl.fbaipublicfiles.com/fairseq/data2vec/nlp_base.pt
Example usage:
```python
from transformers import RobertaTokenizer, Dat... |
fav-kky/FERNET-News | dd5d3ec15f0ab34b9bbf1c8f9f67447524b3d362 | 2021-07-26T21:05:10.000Z | [
"pytorch",
"tf",
"roberta",
"fill-mask",
"cs",
"arxiv:2107.10042",
"transformers",
"Czech",
"KKY",
"FAV",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible"
] | fill-mask | false | fav-kky | null | fav-kky/FERNET-News | 19 | null | transformers | 8,549 | ---
language: "cs"
tags:
- Czech
- KKY
- FAV
license: "cc-by-nc-sa-4.0"
---
# FERNET-News
FERNET-News is a monolingual Czech RoBERTa-base model pre-trained from 20.5GB of thoroughly cleaned Czech news corpus.
Preprint of our paper is available at https://arxiv.org/abs/2107.10042. |
gchhablani/bert-base-cased-finetuned-rte | 7e5be8e895f03887545da0172f91beffa92442c1 | 2021-09-20T09:08:57.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"en",
"dataset:glue",
"arxiv:2105.03824",
"transformers",
"generated_from_trainer",
"fnet-bert-base-comparison",
"license:apache-2.0",
"model-index"
] | text-classification | false | gchhablani | null | gchhablani/bert-base-cased-finetuned-rte | 19 | null | transformers | 8,550 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
- fnet-bert-base-comparison
datasets:
- glue
metrics:
- accuracy
model-index:
- name: bert-base-cased-finetuned-rte
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE RTE
type: glu... |
giganticode/StackOBERTflow-comments-small-v1 | fab1947828858dd1ac1a69cb422b47a9444c7500 | 2021-05-20T16:33:56.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | giganticode | null | giganticode/StackOBERTflow-comments-small-v1 | 19 | null | transformers | 8,551 | # StackOBERTflow-comments-small
StackOBERTflow is a RoBERTa model trained on StackOverflow comments.
A Byte-level BPE tokenizer with dropout was used (using the `tokenizers` package).
The model is *small*, i.e. has only 6-layers and the maximum sequence length was restricted to 256 tokens.
The model was trained for ... |
google/tapas-medium-finetuned-tabfact | d75f8445e8df10f8b3bc6dd54d819acadecd9551 | 2021-11-29T13:09:54.000Z | [
"pytorch",
"tf",
"tapas",
"text-classification",
"en",
"dataset:tab_fact",
"arxiv:2010.00571",
"arxiv:2004.02349",
"transformers",
"sequence-classification",
"license:apache-2.0"
] | text-classification | false | google | null | google/tapas-medium-finetuned-tabfact | 19 | null | transformers | 8,552 | ---
language: en
tags:
- tapas
- sequence-classification
license: apache-2.0
datasets:
- tab_fact
---
# TAPAS medium model fine-tuned on Tabular Fact Checking (TabFact)
This model has 2 versions which can be used. The latest version, which is the default one, corresponds to the `tapas_tabfact_inter_masklm_medium_re... |
hakurei/lit-6B-8bit | e2e9d5beafb3dddd58409d9b6288cec36bad6673 | 2022-02-19T01:30:48.000Z | [
"pytorch",
"en",
"causal-lm",
"license:mit"
] | null | false | hakurei | null | hakurei/lit-6B-8bit | 19 | 2 | null | 8,553 | ---
language:
- en
tags:
- pytorch
- causal-lm
license: mit
---
# Lit-6B - A Large Fine-tuned Model For Fictional Storytelling
Lit-6B is a GPT-J 6B model fine-tuned on 2GB of a diverse range of light novels, erotica, and annotated literature for the purpose of generating novel-like fictional text.
## Model Descrip... |
hectorcotelo/autonlp-spanish_songs-202661 | c10b626c922ee2610ea41ec314440ddd45af4273 | 2021-05-19T11:38:11.000Z | [
"pytorch",
"bert",
"text-classification",
"es",
"dataset:hectorcotelo/autonlp-data-spanish_songs",
"transformers",
"autonlp"
] | text-classification | false | hectorcotelo | null | hectorcotelo/autonlp-spanish_songs-202661 | 19 | null | transformers | 8,554 | ---
tags: autonlp
language: es
widget:
- text: "Y si me tomo una cerveza
Vuelves a mi cabeza
Y empiezo a recordarte
Es que me gusta cómo besas
Con tu delicadeza
Puede ser que
Tú y yo, somos el uno para el otro
Que no dejo de pensarte
Quise olvidarte y tomé un poco
Y resultó extrañarte, yeah"
datasets:
- hectorcotelo/au... |
howey/electra-base-mnli | 814f68846e1d987803f51bfe76eb1bfb4e27416e | 2022-03-08T18:08:21.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers"
] | text-classification | false | howey | null | howey/electra-base-mnli | 19 | null | transformers | 8,555 | Entry not found |
huggingartists/drake | 940b328a923569df57a4c843de83674c9b88bc9c | 2022-07-07T14:26:57.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"dataset:huggingartists/drake",
"transformers",
"huggingartists",
"lyrics",
"lm-head",
"causal-lm"
] | text-generation | false | huggingartists | null | huggingartists/drake | 19 | null | transformers | 8,556 | ---
language: en
datasets:
- huggingartists/drake
tags:
- huggingartists
- lyrics
- lm-head
- causal-lm
widget:
- text: "I am"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92p... |
huggingartists/queen | 7f2c5a89d3c5e793e875bbe4b5eca67d0f64a5c1 | 2022-07-13T06:52:09.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"dataset:huggingartists/queen",
"transformers",
"huggingartists",
"lyrics",
"lm-head",
"causal-lm"
] | text-generation | false | huggingartists | null | huggingartists/queen | 19 | null | transformers | 8,557 | ---
language: en
datasets:
- huggingartists/queen
tags:
- huggingartists
- lyrics
- lm-head
- causal-lm
widget:
- text: "I am"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92p... |
huggingtweets/alvarouribevel | 3bec5573ba32597f5dc23e14384f0fef6af999b8 | 2021-06-11T16:26:27.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/alvarouribevel | 19 | null | transformers | 8,558 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4... |
huggingtweets/cavidaga-elonmusk | 090a6b9de6773578c6a74da254d20de8df0531e5 | 2021-07-31T08:35:25.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/cavidaga-elonmusk | 19 | null | transformers | 8,559 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4... |
huggingtweets/deontologistics | 444df11ff2855d856bbf162cbee351b154506454 | 2021-05-22T01:22:08.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/deontologistics | 19 | null | transformers | 8,560 | ---
language: en
thumbnail: https://www.huggingtweets.com/deontologistics/1616689045190/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/135765650... |
huggingtweets/fesshole | 6fb16c8dda3c55c000bd2516189201d4fd8c51ec | 2022-07-07T10:39:01.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/fesshole | 19 | null | transformers | 8,561 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4... |
huggingtweets/leehsienloong | 8c52c7843baeb3d6629f34fe311b087454e83b1a | 2021-05-22T11:47:48.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/leehsienloong | 19 | null | transformers | 8,562 | ---
language: en
thumbnail: https://www.huggingtweets.com/leehsienloong/1602584946584/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css">
<style>
@media (prefers-color-scheme: dark) {
.prose { ... |
huggingtweets/seocamp | abd95279c1d95ba9f19805124691fa1c794bc4dc | 2021-05-22T22:29:06.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/seocamp | 19 | null | transformers | 8,563 | ---
language: en
thumbnail: https://www.huggingtweets.com/seocamp/1600856567422/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css">
<style>
@media (prefers-color-scheme: dark) {
.prose { color:... |
huggingtweets/tweeting691 | 10eb60257e4dd91759097012fdf22dc8ada2ac24 | 2021-05-23T03:02:02.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/tweeting691 | 19 | null | transformers | 8,564 | ---
language: en
thumbnail: https://www.huggingtweets.com/tweeting691/1609406697752/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css">
<style>
@media (prefers-color-scheme: dark) {
.prose { co... |
huggingtweets/twomad | 1e8b9194867ac12fd3bada03554a338cad617e40 | 2021-05-23T03:07:13.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/twomad | 19 | null | transformers | 8,565 | ---
language: en
thumbnail: https://www.huggingtweets.com/twomad/1618363135274/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/137554135356470067... |
jcblaise/electra-tagalog-small-uncased-discriminator-newsphnli | f992b7265be1297a03f9c6f81c9e00d8bb6c85bb | 2020-12-08T10:24:28.000Z | [
"pytorch",
"tf",
"electra",
"text-classification",
"transformers"
] | text-classification | false | jcblaise | null | jcblaise/electra-tagalog-small-uncased-discriminator-newsphnli | 19 | null | transformers | 8,566 | Entry not found |
joelito/bert-base-uncased-sem_eval_2010_task_8 | 1bc05a5cc0032845237919a2b85332917eb2260c | 2021-05-19T20:50:51.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | joelito | null | joelito/bert-base-uncased-sem_eval_2010_task_8 | 19 | null | transformers | 8,567 | # bert-base-uncased-sem_eval_2010_task_8
Task: sem_eval_2010_task_8
Base Model: bert-base-uncased
Trained for 3 epochs
Batch-size: 6
Seed: 42
Test F1-Score: 0.8 |
kwang2049/TSDAE-askubuntu2nli_stsb | cd3499a85bb9242fb995726ed8d00988b51d1c81 | 2021-10-25T16:13:34.000Z | [
"pytorch",
"bert",
"feature-extraction",
"arxiv:2104.06979",
"transformers"
] | feature-extraction | false | kwang2049 | null | kwang2049/TSDAE-askubuntu2nli_stsb | 19 | null | transformers | 8,568 | # kwang2049/TSDAE-askubuntu2nli_stsb
This is a model from the paper ["TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning"](https://arxiv.org/abs/2104.06979). This model adapts the knowledge from the NLI and STSb data to the specific domain AskUbuntu. Training ... |
laboro-ai/distilbert-base-japanese-finetuned-livedoor | 1918b65a2cd7e007ebe156fb5374d80d381d085a | 2020-12-18T03:09:54.000Z | [
"pytorch",
"distilbert",
"text-classification",
"ja",
"transformers",
"license:cc-by-nc-4.0"
] | text-classification | false | laboro-ai | null | laboro-ai/distilbert-base-japanese-finetuned-livedoor | 19 | null | transformers | 8,569 | ---
language: ja
tags:
- distilbert
license: cc-by-nc-4.0
---
|
liaad/srl-pt_mbert-base | 8134ee989df4975f4993ca7e627410ddfdb8e791 | 2021-09-22T08:56:31.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"feature-extraction",
"multilingual",
"pt",
"dataset:PropBank.Br",
"arxiv:2101.01213",
"transformers",
"bert-base-multilingual-cased",
"semantic role labeling",
"finetuned",
"license:apache-2.0"
] | feature-extraction | false | liaad | null | liaad/srl-pt_mbert-base | 19 | null | transformers | 8,570 | ---
language:
- multilingual
- pt
tags:
- bert-base-multilingual-cased
- semantic role labeling
- finetuned
license: apache-2.0
datasets:
- PropBank.Br
metrics:
- F1 Measure
---
# mBERT fine-tuned on Portuguese semantic role labeling
## Model description
This model is the [`bert-base-multilingual-cased`](https://hug... |
lucio/xls-r-kyrgiz-cv8 | 9b2212ed46efc01ecf8524f579ec910758e82a1d | 2022-03-23T18:34:57.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"ky",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_8_0",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | lucio | null | lucio/xls-r-kyrgiz-cv8 | 19 | null | transformers | 8,571 | ---
language:
- ky
license: apache-2.0
tags:
- automatic-speech-recognition
- generated_from_trainer
- hf-asr-leaderboard
- mozilla-foundation/common_voice_8_0
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: XLS-R-300M Kyrgiz CV8
results:
- task:
name: Automatic Spee... |
luiz826/roberta-to-music-genre | 2e10604ea9c0bfaee4b50467c11f46ebfa7c720e | 2021-12-12T16:36:12.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | luiz826 | null | luiz826/roberta-to-music-genre | 19 | null | transformers | 8,572 | This model was made for a project in the NLP group of the Technology and Artificial Intelligence League (TAIL).
We try to predict a music genre from the lyrics. |
m3hrdadfi/albert-fa-base-v2-sentiment-binary | f257e9f5fce378e4b287173361ef45470ffcbcb8 | 2020-12-26T08:46:58.000Z | [
"pytorch",
"tf",
"albert",
"text-classification",
"fa",
"transformers",
"license:apache-2.0"
] | text-classification | false | m3hrdadfi | null | m3hrdadfi/albert-fa-base-v2-sentiment-binary | 19 | 1 | transformers | 8,573 | ---
language: fa
license: apache-2.0
---
# ALBERT Persian
A Lite BERT for Self-supervised Learning of Language Representations for the Persian Language
> میتونی بهش بگی برت_کوچولو
[ALBERT-Persian](https://github.com/m3hrdadfi/albert-persian) is the first attempt on ALBERT for the Persian Language. The model was tra... |
malay-huggingface/bert-tiny-bahasa-cased | 6b30b65ba47d921d7f5716f733ac4211185d4bf1 | 2021-09-11T16:15:36.000Z | [
"pytorch",
"bert",
"fill-mask",
"ms",
"transformers",
"autotrain_compatible"
] | fill-mask | false | malay-huggingface | null | malay-huggingface/bert-tiny-bahasa-cased | 19 | null | transformers | 8,574 | ---
language: ms
---
# bert-tiny-bahasa-cased
Pretrained BERT tiny language model for Malay.
## Pretraining Corpus
`bert-tiny-bahasa-cased` model was pretrained on ~1.4 Billion words. Below is list of data we trained on,
1. [cleaned local texts](https://github.com/huseinzol05/malay-dataset/tree/master/dumping/clea... |
manueldeprada/t5-cord19-paraphrase-paws-msrp-opinosis | 0a5da286d393e31526c58b537c941fc4d6a8fa1e | 2021-06-23T12:34:22.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | manueldeprada | null | manueldeprada/t5-cord19-paraphrase-paws-msrp-opinosis | 19 | null | transformers | 8,575 | # T5-Paraphrase pretrained using the CORD-19 dataset.
The base model is manueldeprada/t5-cord19, which has been pretrained with the text and abstracts from the CORD-19 dataset.
It has been finetuned in paraphrasing text like ceshine/t5-paraphrase-paws-msrp-opinosis, using the scripts from [ceshine/finetuning-t5 Githu... |
mattchurgin/xls-r-eng | 148cffc40d176e85145d5f90a8a65c405f030f01 | 2022-01-23T17:31:10.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ab",
"dataset:common_voice",
"transformers",
"mozilla-foundation/common_voice_7_0",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | mattchurgin | null | mattchurgin/xls-r-eng | 19 | null | transformers | 8,576 | ---
language:
- ab
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_7_0
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: ''
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You... |
midas/gupshup_e2e_t5 | 8a9f367c92827964c12573889b5177e0b00105e5 | 2021-11-14T02:08:01.000Z | [
"pytorch",
"t5",
"text2text-generation",
"arxiv:1910.04073",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | midas | null | midas/gupshup_e2e_t5 | 19 | null | transformers | 8,577 | # Gupshup
GupShup: Summarizing Open-Domain Code-Switched Conversations EMNLP 2021
Paper: [https://aclanthology.org/2021.emnlp-main.499.pdf](https://aclanthology.org/2021.emnlp-main.499.pdf)
Github: [https://github.com/midas-research/gupshup](https://github.com/midas-research/gupshup)
### Dataset
Please request for the... |
mrm8488/t5-base-finetuned-AESLC-summarization | ac192f3ee2f086d7d87693bae073c9603ff0dd69 | 2021-06-23T12:40:58.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | mrm8488 | null | mrm8488/t5-base-finetuned-AESLC-summarization | 19 | null | transformers | 8,578 | Entry not found |
nbouali/flaubert-base-uncased-finetuned-cooking | c21d936fe58805bd72b49ad5333f4ad79b3890bb | 2021-04-28T16:02:59.000Z | [
"pytorch",
"flaubert",
"text-classification",
"fr",
"transformers",
"french",
"flaubert-base-uncased"
] | text-classification | false | nbouali | null | nbouali/flaubert-base-uncased-finetuned-cooking | 19 | null | transformers | 8,579 | ---
language: fr
tags:
- text-classification
- flaubert
- french
- flaubert-base-uncased
widget:
- text: "Lasagnes à la bolognaise"
---
# FlauBERT finetuned on French cooking recipes
This model is finetuned on a sequence classification task that associates each sequence with the appropriate recipe category.
### Ho... |
nielsr/codet5-small-code-summarization-ruby | 522d18fcc9e7ecaf9283c3c83637ac423423d591 | 2021-11-07T17:37:12.000Z | [
"pytorch",
"t5",
"text2text-generation",
"dataset:code_x_glue_ct_code_to_text",
"transformers",
"codet5",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | nielsr | null | nielsr/codet5-small-code-summarization-ruby | 19 | 2 | transformers | 8,580 | ---
license: apache-2.0
tags:
- codet5
datasets:
- code_x_glue_ct_code_to_text
widget:
- text: 'def pad(tensor, paddings, mode: "CONSTANT", name: nil) _op(:pad, tensor, paddings, mode: mode, name: name) end </s>'
---
# Description
CodeT5-small model, fine-tuned on the code summarization subtask of CodeXGLUE (Ruby pro... |
osanseviero/full-sentence-distillroberta2 | 4551c4b36ec3f2057243b92abea3218feec23f4c | 2021-08-06T08:37:57.000Z | [
"pytorch",
"jax",
"roberta",
"feature-extraction",
"sentence-transformers",
"sentence-similarity"
] | feature-extraction | false | osanseviero | null | osanseviero/full-sentence-distillroberta2 | 19 | null | sentence-transformers | 8,581 | ---
tags:
- sentence-transformers
- sentence-similarity
---
## Testing Sentence Transformer |
patrickvonplaten/wav2vec2-large-xlsr-turkish-demo | 0cc299a461e1a1972944829fc97788f88b25d18c | 2021-10-19T14:00:49.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | patrickvonplaten | null | patrickvonplaten/wav2vec2-large-xlsr-turkish-demo | 19 | 0 | transformers | 8,582 | ## XLSR-Wav2Vec2 Fine-Tuned on Turkish Common Voice dataset
The model was fine-tuned in a google colab for demonstration purposes.
Please refer to [this blog](https://huggingface.co/blog/fine-tune-xlsr-wav2vec2) for more information about the model. |
persiannlp/mt5-small-parsinlu-qqp-query-paraphrasing | b21c620f16d3b1306e349fb8543ad09493f5d3d1 | 2021-09-23T16:20:38.000Z | [
"pytorch",
"t5",
"text2text-generation",
"fa",
"multilingual",
"dataset:parsinlu",
"dataset:qqp",
"transformers",
"query-paraphrasing",
"mt5",
"persian",
"farsi",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible"
] | text2text-generation | false | persiannlp | null | persiannlp/mt5-small-parsinlu-qqp-query-paraphrasing | 19 | null | transformers | 8,583 | ---
language:
- fa
- multilingual
thumbnail: https://upload.wikimedia.org/wikipedia/commons/a/a2/Farsi.svg
tags:
- query-paraphrasing
- mt5
- persian
- farsi
license: cc-by-nc-sa-4.0
datasets:
- parsinlu
- qqp
metrics:
- accuracy
---
# Detection of Paraphrased Queries (تشخصیص سوالات هممعنی)
This is a model for detec... |
pierreguillou/byt5-small-qa-squad-v1.1-portuguese | 04363d2c3adfae5ec68828147b5826b17c13e3f1 | 2021-12-05T15:42:20.000Z | [
"pytorch",
"t5",
"text2text-generation",
"pt",
"dataset:squad",
"arxiv:1907.06292",
"arxiv:2105.13626",
"transformers",
"byt5",
"qa",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | pierreguillou | null | pierreguillou/byt5-small-qa-squad-v1.1-portuguese | 19 | 2 | transformers | 8,584 | ---
language: pt
license: apache-2.0
tags:
- text2text-generation
- byt5
- pytorch
- qa
datasets: squad
metrics: squad
widget:
- text: 'question: "Quando começou a pandemia de Covid-19 no mundo?" context: "A pandemia de COVID-19, também conhecida como pandemia de coronavírus, é uma pandemia em curso de COVID-19, uma d... |
princeton-nlp/densephrases-multi | e842d544599752023df27be816b5f4e6e8d1263e | 2021-09-20T15:27:15.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | princeton-nlp | null | princeton-nlp/densephrases-multi | 19 | null | transformers | 8,585 | Entry not found |
priyank/Generate_instructions_t5 | 312e714332f0c11fb802696b79a6c68d926a4548 | 2021-05-13T14:28:11.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | priyank | null | priyank/Generate_instructions_t5 | 19 | null | transformers | 8,586 |
```
import torch
from transformers import T5ForConditionalGeneration,T5Tokenizer
def set_seed(seed):
torch.manual_seed(seed)
if torch.cuda.is_available():
torch.cuda.manual_seed_all(seed)
set_seed(42)
model = T5ForConditionalGeneration.from_pretrained("priyank/Generate_instructions_t5")
to... |
pszemraj/GPT-Converse-1pt3B-Neo-WoW-DD-17 | ee4db57ced86ad96683fe8078171a9396e502e41 | 2022-01-19T01:22:11.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"en",
"dataset:natural questions",
"transformers",
"gpt2",
"gpt",
"license:mit"
] | text-generation | false | pszemraj | null | pszemraj/GPT-Converse-1pt3B-Neo-WoW-DD-17 | 19 | null | transformers | 8,587 | ---
language:
- en
tags:
- text-generation
- gpt2
- gpt
license: mit
datasets:
- natural questions
widget:
- text: "hi, how are you doing bruh?\nperson beta:\n\n"
example_title: "greeting"
- text: "Can you actually take me for dinner somewhere nice this time?\nperson beta:\n\n"
example_title: "dinner"
- text: "Ho... |
r2d2/stsb-bertweet-base-v0 | 138d1944346ccb7ab2e2eae5d4d2827bce568a95 | 2022-02-18T14:53:45.000Z | [
"pytorch",
"roberta",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | r2d2 | null | r2d2/stsb-bertweet-base-v0 | 19 | null | sentence-transformers | 8,588 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# r2d2/stsb-bertweet-base-v0
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for task... |
rohanrajpal/bert-base-en-es-codemix-cased | 58341c89159c26603beab1ae726bf9528e6cc52c | 2021-05-19T00:26:38.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"es",
"en",
"dataset:SAIL 2017",
"transformers",
"codemix",
"license:apache-2.0"
] | text-classification | false | rohanrajpal | null | rohanrajpal/bert-base-en-es-codemix-cased | 19 | null | transformers | 8,589 | ---
language:
- es
- en
tags:
- es
- en
- codemix
license: "apache-2.0"
datasets:
- SAIL 2017
metrics:
- fscore
- accuracy
- precision
- recall
---
# BERT codemixed base model for spanglish (cased)
This model was built using [lingualytics](https://github.com/lingualytics/py-lingualytics), an open-source library that ... |
samirt8/wav2vec2-xls-r-1b-fr | 742321f4cd1e2d07acaa56332f67088d61ab967c | 2022-03-23T14:16:05.000Z | [
"pytorch"
] | null | false | samirt8 | null | samirt8/wav2vec2-xls-r-1b-fr | 19 | 1 | null | 8,590 | ---
language:
- fr
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- fr
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: XLS-R-1B - French
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-r... |
savasy/mt5-mlsum-turkish-summarization | a32cbb40a2e6d4d923e7c0a54ab4050141fd872b | 2022-01-07T08:53:23.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | savasy | null | savasy/mt5-mlsum-turkish-summarization | 19 | 1 | transformers | 8,591 | This checkpoint has been trained with the Turkish part of the [MLSUM dataset](https://huggingface.co/datasets/mlsum) where google/mt5 is the main Pre-trained checkpoint. [SimpleT5](https://github.com/Shivanandroy/simpleT5) library is used for training.
Here is the code snippet for training
```
model = SimpleT5()
mod... |
sdadas/polish-bart-base | 0710ce4e41f96e6f7897ecb2e51a9d947f86ef98 | 2022-02-19T10:34:05.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"license:lgpl-3.0",
"autotrain_compatible"
] | text2text-generation | false | sdadas | null | sdadas/polish-bart-base | 19 | null | transformers | 8,592 | ---
license: lgpl-3.0
---
|
seduerr/mt5-paraphrases-espanol | e6abf1971cdc792488a42bde65f186681f0331de | 2021-06-23T16:37:25.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | seduerr | null | seduerr/mt5-paraphrases-espanol | 19 | null | transformers | 8,593 | Entry not found |
shtoshni/spanbert_coreference_base | 99402ad31ea95a6a33641c2db0e8b164c53e890b | 2020-11-08T02:11:42.000Z | [
"pytorch",
"transformers"
] | null | false | shtoshni | null | shtoshni/spanbert_coreference_base | 19 | null | transformers | 8,594 | Entry not found |
sismetanin/xlm_roberta_base-ru-sentiment-rureviews | 4da6a56b98bd2af912d7e23e857c27d20040eac7 | 2021-02-25T23:51:22.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"ru",
"transformers",
"sentiment analysis",
"Russian"
] | text-classification | false | sismetanin | null | sismetanin/xlm_roberta_base-ru-sentiment-rureviews | 19 | null | transformers | 8,595 | ---
language:
- ru
tags:
- sentiment analysis
- Russian
---
## XLM-RoBERTa-Base-ru-sentiment-RuReviews
XLM-RoBERTa-Base-ru-sentiment-RuReviews is a [XLM-RoBERTa-Base](https://huggingface.co/xlm-roberta-base) model fine-tuned on [RuReviews dataset](https://github.com/sismetanin/rureviews) of Russian-language reviews ... |
speech-seq2seq/wav2vec2-2-gpt2-medium-no-adapter-frozen-enc | d2b273a6f537540b5bfa13ab1b9c1b3b39b3bb68 | 2022-02-17T03:04:18.000Z | [
"pytorch",
"tensorboard",
"speech-encoder-decoder",
"automatic-speech-recognition",
"dataset:librispeech_asr",
"transformers",
"generated_from_trainer",
"model-index"
] | automatic-speech-recognition | false | speech-seq2seq | null | speech-seq2seq/wav2vec2-2-gpt2-medium-no-adapter-frozen-enc | 19 | null | transformers | 8,596 | ---
tags:
- generated_from_trainer
datasets:
- librispeech_asr
model-index:
- name: ''
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. -->
#
This model was trained... |
superb/hubert-large-superb-ic | 8da7cdb18a459d147eee99b98f8840c4af619846 | 2021-09-04T20:48:25.000Z | [
"pytorch",
"hubert",
"audio-classification",
"en",
"dataset:superb",
"arxiv:2105.01051",
"transformers",
"speech",
"audio",
"license:apache-2.0"
] | audio-classification | false | superb | null | superb/hubert-large-superb-ic | 19 | null | transformers | 8,597 | ---
language: en
datasets:
- superb
tags:
- speech
- audio
- hubert
license: apache-2.0
---
# Hubert-Large for Intent Classification
## Model description
This is a ported version of [S3PRL's Hubert for the SUPERB Intent Classification task](https://github.com/s3prl/s3prl/tree/master/s3prl/downstream/fluent_commands)... |
superman/testingmodel | 907d032474939d8d6cee939ed5524cbc89df2495 | 2021-09-28T20:21:40.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | superman | null | superman/testingmodel | 19 | null | transformers | 8,598 | just to test |
symanto/mpnet-base-snli-mnli | f35aedb2691bc05b3b48a170a0f2bad910f638dd | 2021-09-30T12:29:12.000Z | [
"pytorch",
"mpnet",
"text-classification",
"en",
"dataset:SNLI",
"dataset:MNLI",
"transformers",
"zero-shot-classification"
] | text-classification | false | symanto | null | symanto/mpnet-base-snli-mnli | 19 | 2 | transformers | 8,599 | ---
language:
- en
datasets:
- SNLI
- MNLI
tags:
- zero-shot-classification
---
A cross-attention NLI model trained for zero-shot and few-shot text classification.
The base model is [mpnet-base](https://huggingface.co/microsoft/mpnet-base), trained with the code from [here](https://github.com/facebookresearch/anl... |
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