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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
lysandre/dum | 7ca05142c3d15590084e70249b3687b66c4aeba3 | 2022-06-14T08:45:44.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"dataset:sst2",
"transformers",
"license:apache-2.0"
] | text-classification | false | lysandre | null | lysandre/dum | 23 | null | transformers | 7,900 | ---
language: en
license: apache-2.0
datasets:
- sst2
---
# Sentiment Analysis
This is a BERT model fine-tuned for sentiment analysis. |
manishiitg/distilrobert-base-squadv2-328seq-128stride-test | 8776dc47fd58e19672d4be7a864c186efa236f18 | 2021-05-20T17:43:42.000Z | [
"pytorch",
"jax",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | manishiitg | null | manishiitg/distilrobert-base-squadv2-328seq-128stride-test | 23 | null | transformers | 7,901 | Entry not found |
maple/bert-large-cased | 307bf5fe1b972a63b748580a8e6d6dc7bac912e0 | 2022-01-03T07:39:42.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | maple | null | maple/bert-large-cased | 23 | null | transformers | 7,902 | Entry not found |
moussaKam/frugalscore_tiny_bert-base_mover-score | e691626ad7864f8c433a77cf4a8946b2c0c79452 | 2022-05-11T11:04:23.000Z | [
"pytorch",
"bert",
"text-classification",
"arxiv:2110.08559",
"transformers"
] | text-classification | false | moussaKam | null | moussaKam/frugalscore_tiny_bert-base_mover-score | 23 | null | transformers | 7,903 | # FrugalScore
FrugalScore is an approach to learn a fixed, low cost version of any expensive NLG metric, while retaining most of its original performance
Paper: https://arxiv.org/abs/2110.08559?context=cs
Project github: https://github.com/moussaKam/FrugalScore
The pretrained checkpoints presented in the paper :
| ... |
mrm8488/distilgpt2-finetuned-bookcopus-10 | ec1424e27449a3cee5c6aea36c60d241c70ab140 | 2021-05-23T10:21:22.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | mrm8488 | null | mrm8488/distilgpt2-finetuned-bookcopus-10 | 23 | null | transformers | 7,904 | Entry not found |
mrm8488/distilroberta-base-finetuned-suicide-depression | 7574c32aa783a63116539e20f97f8a0c336220bd | 2021-10-14T09:26:23.000Z | [
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | mrm8488 | null | mrm8488/distilroberta-base-finetuned-suicide-depression | 23 | 3 | transformers | 7,905 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
widget:
- text: "It's in the back of my mind. I'm not sure I'll be ok. Not sure I can deal with this. I'll try...I will try. Even though it's hard to see the point. But...this still isn't off the table."
model-index:
- name: distilroberta-base-f... |
mrm8488/wav2vec2-large-xlsr-53-spanish | 9539f36ad626a8abadc64e2b904fe3f0ff37bc49 | 2021-07-06T13:14:39.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"es",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | mrm8488 | null | mrm8488/wav2vec2-large-xlsr-53-spanish | 23 | 1 | transformers | 7,906 | ---
language: es
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Spanish Manuel Romero
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: Comm... |
mys/mt5-small-turkish-question-paraphrasing | fd37d138c0d210a3e6f33dc734c47af4aa2c47e6 | 2021-11-07T08:26:51.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | mys | null | mys/mt5-small-turkish-question-paraphrasing | 23 | 2 | transformers | 7,907 | ## Overview
This model is a finetuned version of [mt5-small](https://huggingface.co/google/mt5-small) for question paraphrasing task in Turkish. As a generator model, its capabilities are currently investigated and there is an ongoing effort to further improve it. You can raise an issue [in this GitHub repo](https://gi... |
navsad/navid_test_bert | 56b40fd8d9564d563bd5523a5a119323f85d61b8 | 2022-02-02T04:52:11.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | navsad | null | navsad/navid_test_bert | 23 | null | transformers | 7,908 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: navid_test_bert
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
metrics:
- name: Matth... |
pandyaved98/DialoGPT-small-AlchemyBot | 877a86d93e27c72935fc14e0d455b9971fbf27f6 | 2021-11-29T15:33:16.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | pandyaved98 | null | pandyaved98/DialoGPT-small-AlchemyBot | 23 | 1 | transformers | 7,909 | ---
tags:
- conversational
---
# AlchemyBot DialoGPT Model |
panggi/t5-small-indonesian-summarization-cased | b0c72296041ebf885d071be74c1590844069c7c4 | 2020-12-19T18:01:23.000Z | [
"pytorch",
"t5",
"text2text-generation",
"id",
"dataset:indosum",
"transformers",
"pipeline:summarization",
"summarization",
"autotrain_compatible"
] | summarization | false | panggi | null | panggi/t5-small-indonesian-summarization-cased | 23 | null | transformers | 7,910 | ---
language: id
tags:
- pipeline:summarization
- summarization
- t5
datasets:
- indosum
---
# Indonesian T5 Summarization Small Model
Finetuned T5 small summarization model for Indonesian.
## Finetuning Corpus
`t5-small-indonesian-summarization-cased` model is based on `t5-small-bahasa-summarization-cased` by [hu... |
plum/bert-large-cased | 6462870803e95b422dadb3e5ab15166878708330 | 2022-01-04T23:05:59.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | plum | null | plum/bert-large-cased | 23 | null | transformers | 7,911 | Entry not found |
pritamdeka/S-Scibert-snli-multinli-stsb | 314f56eb315692762db7c5b1d02a8f14193685b4 | 2022-05-09T10:03:33.000Z | [
"pytorch",
"bert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | pritamdeka | null | pritamdeka/S-Scibert-snli-multinli-stsb | 23 | null | sentence-transformers | 7,912 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# pritamdeka/S-Scibert-snli-multinli-stsb
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be... |
pritoms/gpt-neo-125M-philosophical-investigation | 17164b7c802d0351afedba6e4d4e9a8ef71c7d97 | 2022-01-11T06:18:34.000Z | [
"pytorch",
"tensorboard",
"gpt_neo",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | pritoms | null | pritoms/gpt-neo-125M-philosophical-investigation | 23 | null | transformers | 7,913 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: gpt-neo-125M-philosophical-investigation
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. -... |
royeis/T5-Factual-Classifier-V1 | bea492321f59f322094eabc737fc389ee0f47601 | 2021-06-23T14:01:00.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | royeis | null | royeis/T5-Factual-Classifier-V1 | 23 | null | transformers | 7,914 | Entry not found |
sagittariusA/gender_classifier_cs | 090c3e9855bd1f2a5a654d3ed98da9d7b74559d2 | 2021-11-09T22:41:12.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | sagittariusA | null | sagittariusA/gender_classifier_cs | 23 | null | transformers | 7,915 | Entry not found |
sanchit-gandhi/wav2vec2-2-gpt2-grid-search | 9f69036d12f516265208efd8c02bdf3bdf692989 | 2022-03-07T13:18:03.000Z | [
"pytorch",
"tensorboard",
"speech-encoder-decoder",
"automatic-speech-recognition",
"dataset:librispeech_asr",
"transformers",
"generated_from_trainer",
"model-index"
] | automatic-speech-recognition | false | sanchit-gandhi | null | sanchit-gandhi/wav2vec2-2-gpt2-grid-search | 23 | null | transformers | 7,916 | ---
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... |
sentence-transformers/distilbert-base-nli-max-tokens | b406dc6411aa5f75c3703b7aa06851c8ddff8916 | 2022-06-16T00:21:25.000Z | [
"pytorch",
"tf",
"distilbert",
"feature-extraction",
"arxiv:1908.10084",
"sentence-transformers",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | feature-extraction | false | sentence-transformers | null | sentence-transformers/distilbert-base-nli-max-tokens | 23 | null | sentence-transformers | 7,917 | ---
pipeline_tag: feature-extraction
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
**⚠️ This model is deprecated. Please don't use it as it produces sentence embeddings of low quality. You can find recommended sentence embedding models here: [SBERT.net ... |
severo/autonlp-sentiment_detection-1781580 | 179a1d752c5cdd039bfe70ff785f0e1999b7cacb | 2021-06-18T18:20:55.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"dataset:severo/autonlp-data-sentiment_detection-3c8bcd36",
"transformers",
"autonlp"
] | text-classification | false | severo | null | severo/autonlp-sentiment_detection-1781580 | 23 | 1 | transformers | 7,918 | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- severo/autonlp-data-sentiment_detection-3c8bcd36
---
# Model Trained Using AutoNLP
_debug - I want to update this model_
- Problem type: Binary Classification
- Model ID: 1781580
## Validation Metrics
- Loss: 0.16026505827903748
- Accur... |
toastynews/xlnet-hongkongese-base | e4a8655e729603edc8e54baa3ce2b95dfb757342 | 2020-07-07T17:52:07.000Z | [
"pytorch",
"tf",
"xlnet",
"text-generation",
"yue",
"transformers",
"license:apache-2.0"
] | text-generation | false | toastynews | null | toastynews/xlnet-hongkongese-base | 23 | null | transformers | 7,919 | ---
language: yue
license: apache-2.0
metrics:
- DRCD
- openrice-senti
- lihkg-cat
- wordshk-sem
---
# XLNet Hongkongese Base
## Model description
XLNet trained exclusively with data from Hong Kong. A signaficant amount of Hongkongese/Cantonese/Yue is included in the training data.
## Intended uses & limitations
T... |
tuhailong/cross-encoder-bert-base | 61198bd89bd36b9667aec7a66441e2a2e473fcd2 | 2022-04-20T02:42:39.000Z | [
"pytorch",
"bert",
"text-classification",
"zh",
"dataset:dialogue",
"transformers",
"sbert"
] | text-classification | false | tuhailong | null | tuhailong/cross-encoder-bert-base | 23 | null | transformers | 7,920 | ---
language: zh
tags:
- sbert
datasets:
- dialogue
---
# Data
train data is similarity sentence data from E-commerce dialogue, about 20w sentence pairs.
## Model
model created by [sentence-tansformers](https://www.sbert.net/index.html)，model struct is cross-encoder
### Usage
```python
>>> from sentence_transformers... |
uer/chinese_roberta_L-6_H-512 | 34d41591eebf00951e61a614af808468c4c9bbfc | 2022-07-15T08:13:20.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"zh",
"dataset:CLUECorpusSmall",
"arxiv:1909.05658",
"arxiv:1908.08962",
"transformers",
"autotrain_compatible"
] | fill-mask | false | uer | null | uer/chinese_roberta_L-6_H-512 | 23 | null | transformers | 7,921 | ---
language: zh
datasets: CLUECorpusSmall
widget:
- text: "北京是[MASK]国的首都。"
---
# Chinese RoBERTa Miniatures
## Model description
This is the set of 24 Chinese RoBERTa models pre-trained by [UER-py](https://github.com/dbiir/UER-py/), which is introduced in [this paper](https://arxiv.org/abs/1909.05658).
[Turc e... |
verloop/Hinglish-Bert-Class | 4d1ffe6c3a246398b9da0d451f83a892ffa18635 | 2021-05-20T08:56:50.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | verloop | null | verloop/Hinglish-Bert-Class | 23 | 1 | transformers | 7,922 | Entry not found |
vidhur2k/mBERT-French-Mono | 8d47dd80aed14404af78737057820be8997758cf | 2021-12-03T04:50:28.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | vidhur2k | null | vidhur2k/mBERT-French-Mono | 23 | null | transformers | 7,923 | Entry not found |
wangfan/jdt-fin-roberta-wwm | ef5ec78cb8e478e327569bbca955140ab5908b39 | 2022-05-19T03:40:06.000Z | [
"pytorch",
"bert",
"fill-mask",
"zh",
"dataset:finance",
"transformers",
"roberta-wwm",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | wangfan | null | wangfan/jdt-fin-roberta-wwm | 23 | null | transformers | 7,924 | ---
language: zh
tags:
- roberta-wwm
license: apache-2.0
datasets:
- finance
---
在众多业务中，越来越频繁的使用预训练语言模型（Pre-trained Language Models），为了在金融场景下各任务中取得更好效果，我们发布了jdt-fin-roberta-wwm模型
#### 模型&下载
* `base模型`：12-layer, 768-hidden, 12-heads, 110M parameters
| 模型简称 | 京盘下载 |
| :----: | :----:|
| fin-roberta-wwm | [Tensorflow... |
Anthos23/FS-distilroberta-fine-tuned | 2850ed4017485cdae8f78ea0ae2ab658206be8a2 | 2022-03-04T13:00:00.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | Anthos23 | null | Anthos23/FS-distilroberta-fine-tuned | 23 | null | transformers | 7,925 | Entry not found |
facebook/wav2vec2-base-fr-voxpopuli-v2 | b610edc383f3af2cef6361656fda66885201d026 | 2022-02-27T13:12:05.000Z | [
"pytorch",
"wav2vec2",
"pretraining",
"fr",
"dataset:voxpopuli",
"arxiv:2101.00390",
"transformers",
"audio",
"automatic-speech-recognition",
"voxpopuli-v2",
"license:cc-by-nc-4.0"
] | automatic-speech-recognition | false | facebook | null | facebook/wav2vec2-base-fr-voxpopuli-v2 | 23 | 1 | transformers | 7,926 | ---
language: fr
tags:
- audio
- automatic-speech-recognition
- voxpopuli-v2
datasets:
- voxpopuli
license: cc-by-nc-4.0
inference: false
---
# Wav2Vec2-base-VoxPopuli-V2
[Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/) base model pretrained only in **fr*... |
nguyenvulebinh/spoken-norm-taggen | 7e90e9609d242fc7a268e5e707d0eae63d2ab0ea | 2022-03-01T09:10:45.000Z | [
"pytorch",
"transformers",
"license:cc-by-nc-4.0"
] | null | false | nguyenvulebinh | null | nguyenvulebinh/spoken-norm-taggen | 23 | 1 | transformers | 7,927 | ---
license: cc-by-nc-4.0
---
|
datnth1709/Phobert-classifier | 412842e9758e77ff6457ba1a205a5fb440b1c8ba | 2022-03-02T18:29:53.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"fill-mask",
"arxiv:2003.00744",
"transformers",
"autotrain_compatible"
] | fill-mask | false | datnth1709 | null | datnth1709/Phobert-classifier | 23 | null | transformers | 7,928 | # <a name="introduction"></a> PhoBERT: Pre-trained language models for Vietnamese
Pre-trained PhoBERT models are the state-of-the-art language models for Vietnamese ([Pho](https://en.wikipedia.org/wiki/Pho), i.e. "Phở", is a popular food in Vietnam):
- Two PhoBERT versions of "base" and "large" are the first publ... |
l3cube-pune/hing-mbert | 2eed9350653a8a7601042cc6afa6ca1065f20b97 | 2022-06-26T15:12:58.000Z | [
"pytorch",
"bert",
"fill-mask",
"hi",
"en",
"dataset:L3Cube-HingCorpus",
"arxiv:2204.08398",
"transformers",
"codemix",
"license:cc-by-4.0",
"autotrain_compatible"
] | fill-mask | false | l3cube-pune | null | l3cube-pune/hing-mbert | 23 | 1 | transformers | 7,929 | ---
license: cc-by-4.0
language:
- hi
- en
tags:
- hi
- en
- codemix
datasets:
- L3Cube-HingCorpus
---
## HingMBERT
HingBERT is a Hindi-English code-mixed BERT model trained on roman text. It is a mBERT model fine-tuned on L3Cube-HingCorpus.
<br>
[dataset link] (https://github.com/l3cube-pune/code-mixed-nlp)
More de... |
mitiku/AmharicWICPostag10Tags | d4551db9e59a9e0e67f7e960fbf9a0e5ad9067f6 | 2022-03-20T10:11:33.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | mitiku | null | mitiku/AmharicWICPostag10Tags | 23 | null | transformers | 7,930 | ---
tags:
- generated_from_trainer
model-index:
- name: AmharicWICPostag10Tags
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. -->
# AmharicWICPostag10Tags
This mod... |
sdadas/polish-longformer-large-4096 | 1ef68e01fe87aec12e1060f307ea1829b535bab6 | 2022-03-08T18:15:18.000Z | [
"pytorch",
"longformer",
"fill-mask",
"transformers",
"license:lgpl-3.0",
"autotrain_compatible"
] | fill-mask | false | sdadas | null | sdadas/polish-longformer-large-4096 | 23 | null | transformers | 7,931 | ---
license: lgpl-3.0
---
|
ShihTing/HealthBureauSix | 04cb59a958fce6af0408d9f95922bad15b7237c7 | 2022-03-27T04:45:41.000Z | [
"pytorch",
"bert",
"text-classification",
"unk",
"transformers",
"autonlp"
] | text-classification | false | ShihTing | null | ShihTing/HealthBureauSix | 23 | 1 | transformers | 7,932 | ---
tags: autonlp
language: unk
widget:
- text: "民眾來電反映：事由：護士態度惡劣，對病人大吼大叫，對於態度惡劣的人卻於與錄用，敬請相關單位改善"
- text: "民眾來電：
時間:2016年3月24號至2019年10月26號
地點:三軍總醫院 北投分院
事由:民眾表揚上述地點及時間有些醫護人員很優秀、親切、具有專業服務水準、好相處(2病房的護理師陳怡鎮、歐素玲、陳芊糖，7病房蔡閔儒，12病房林哲玄、黃仙怡，主治醫師楊蕙年)
訴求:敬請相關單位給予表揚與肯定
"
- text: "本人之先生2-3年前接受吳醫師植牙治療，本人之先生已付完植牙醫療費用，但吳醫師尚未完成本人先生之植牙，診... |
Alvenir/bert-punct-restoration-de | b2527bd6afd759df3fc48015f284783a75633518 | 2022-03-23T08:43:29.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | Alvenir | null | Alvenir/bert-punct-restoration-de | 23 | null | transformers | 7,933 | ---
license: apache-2.0
---
TODO |
hamedkhaledi/persain-flair-ner | 18387458cd56aecfa6d2f163eb33372d22a68ead | 2022-04-03T22:22:20.000Z | [
"pytorch",
"fa",
"flair",
"token-classification",
"sequence-tagger-model"
] | token-classification | false | hamedkhaledi | null | hamedkhaledi/persain-flair-ner | 23 | 1 | flair | 7,934 | ---
tags:
- flair
- token-classification
- sequence-tagger-model
language: fa
dataset:
- NSURL-2019
widget:
- text: "آخرین مقام برجسته ژاپنی که پس از انقلاب 57 تاکنون به ایران سفر کرده است شینتارو آبه است."
---
## Persian NER in Flair
This is the universal Named-entity recognition model for Persian that ships with ... |
timpal0l/xlm-roberta-base-faq-extractor | 07ed39d541dab1256c385a403db198d8cbbd54cf | 2022-03-27T21:00:09.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers",
"license:apache-2.0"
] | text-classification | false | timpal0l | null | timpal0l/xlm-roberta-base-faq-extractor | 23 | null | transformers | 7,935 | ---
license: apache-2.0
---
# xlm-roberta-base-faq-extractor |
hackathon-pln-es/bertin-roberta-base-finetuning-esnli | 22cc774f4b3c520dd8bf9262d1f569e8a05022d8 | 2022-04-04T01:45:21.000Z | [
"pytorch",
"roberta",
"feature-extraction",
"es",
"dataset:hackathon-pln-es/nli-es",
"arxiv:1908.10084",
"sentence-transformers",
"sentence-similarity"
] | sentence-similarity | false | hackathon-pln-es | null | hackathon-pln-es/bertin-roberta-base-finetuning-esnli | 23 | 5 | sentence-transformers | 7,936 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
language:
- es
datasets:
- hackathon-pln-es/nli-es
widget:
- text: "A ver si nos tenemos que poner todos en huelga hasta cobrar lo que queramos."
- text: "La huelga es el método de lucha más eficaz para conseg... |
MMG/xlm-roberta-base-sa-spanish | 870b8ba260b012d063b0236ab3ed7a793be0e87b | 2022-03-31T11:36:53.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | false | MMG | null | MMG/xlm-roberta-base-sa-spanish | 23 | null | transformers | 7,937 | Entry not found |
TropicalJuice/Dialog-PeterGriffin | eb3b26f8789df202c0a56cc0d118049069f136a4 | 2022-04-04T18:25:38.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | TropicalJuice | null | TropicalJuice/Dialog-PeterGriffin | 23 | null | transformers | 7,938 | ---
tags:
- conversational
---
# Peter Griffin DialoGPT Model |
dapang/distilbert-base-uncased-finetuned-toxicity | ab381c64960388e848a38ad7f299623eead1ec9a | 2022-04-05T06:08:25.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | dapang | null | dapang/distilbert-base-uncased-finetuned-toxicity | 23 | null | transformers | 7,939 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-toxicity
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, ... |
BramVanroy/gbert-base-finetuned-cefr | 4c69c0ef7a5311ba742a95cb3a8deb3d9cb1d73b | 2022-07-26T11:41:51.000Z | [
"pytorch",
"bert",
"text-classification",
"de",
"dataset:merlin",
"dataset:disko",
"transformers",
"cefr",
"proficiency assessment",
"written text",
"license:mit",
"model-index"
] | text-classification | false | BramVanroy | null | BramVanroy/gbert-base-finetuned-cefr | 23 | 1 | transformers | 7,940 | ---
language:
- de
license: mit
tags:
- cefr
- proficiency assessment
- written text
datasets:
- merlin
- disko
metrics:
- accuracy
- f1
- precision
- qwk
- recall
model-index:
- name: gbert-base-finetuned-cefr
results:
- task:
type: text-classification
name: CEFR proficiency prediction
metrics:
... |
Davlan/afro-xlmr-base | bfba0ed43d950f9a58a83064b4f0e1d17e5362e1 | 2022-04-15T14:23:42.000Z | [
"pytorch",
"xlm-roberta",
"fill-mask",
"arxiv:2204.06487",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | fill-mask | false | Davlan | null | Davlan/afro-xlmr-base | 23 | 1 | transformers | 7,941 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: afro-xlmr-base
results: []
---
# afro-xlmr-base
AfroXLMR-base was created by MLM adaptation of XLM-R-base model on 17 African languages (Afrikaans, Amharic, Hausa, Igbo, Malagasy, Chichewa, Oromo, Naija, Kinyarwanda, Kirundi, Shona, Somali, Sesot... |
cambridgeltl/magic_flickr30k | 4f5c4ca58c36d1f413a5f5aaa40f625273a821c7 | 2022-04-13T08:56:31.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | cambridgeltl | null | cambridgeltl/magic_flickr30k | 23 | null | transformers | 7,942 | Entry not found |
ChrisLiewJY/BERTweet-Hedge | ba5ff4bba3275436d75b0e4297b56f3cfecc4157 | 2022-04-30T10:39:56.000Z | [
"pytorch",
"roberta",
"text-classification",
"en",
"transformers",
"uncertainty-detection",
"social-media",
"license:mit"
] | text-classification | false | ChrisLiewJY | null | ChrisLiewJY/BERTweet-Hedge | 23 | 0 | transformers | 7,943 | ---
license: mit
language:
- en
tags:
- uncertainty-detection
- social-media
- text-classification
widget:
- text: "It seems like Bitcoin prices are heading into bearish territory."
example_title: "Hedge Detection (Positive - Label 1)"
- text: "Bitcoin prices have fallen by 42% in the last 30 days."
example_titl... |
KoichiYasuoka/roberta-base-serbian-upos | bcdb67409ecd45d042323980a6d602aa42ea258c | 2022-05-07T13:35:28.000Z | [
"pytorch",
"roberta",
"token-classification",
"sr",
"dataset:universal_dependencies",
"transformers",
"serbian",
"pos",
"dependency-parsing",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | token-classification | false | KoichiYasuoka | null | KoichiYasuoka/roberta-base-serbian-upos | 23 | null | transformers | 7,944 | ---
language:
- "sr"
tags:
- "serbian"
- "token-classification"
- "pos"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "cc-by-sa-4.0"
pipeline_tag: "token-classification"
widget:
- text: "Да има сира и масла и моја би мати знала гибати гибаницу."
- text: "Da ima sira i masla i moja bi mati znala g... |
Xiaoman/NER-for-female-names | 5f7578a2211ea522925e3f6adc0d9a3e3a3e1902 | 2022-05-13T11:43:00.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | Xiaoman | null | Xiaoman/NER-for-female-names | 23 | null | transformers | 7,945 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: NER-for-female-names
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. -->
# NER-for-female... |
Xiaoman/NER-CoNLL2003 | 157e5cd260c04136d3e17d1a15f9247852fb7485 | 2022-05-13T11:45:22.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Xiaoman | null | Xiaoman/NER-CoNLL2003 | 23 | null | transformers | 7,946 | Entry not found |
malay-huggingface/wav2vec2-xls-r-300m-mixed | 0600ae9fd207d8d188c2a25e03bd1a26a291ed22 | 2022-07-02T13:33:37.000Z | [
"pytorch",
"tf",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_keras_callback",
"model-index"
] | automatic-speech-recognition | false | malay-huggingface | null | malay-huggingface/wav2vec2-xls-r-300m-mixed | 23 | 1 | transformers | 7,947 | ---
tags:
- generated_from_keras_callback
model-index:
- name: wav2vec2-xls-r-300m-mixed
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# wav2vec2-xls-r-300m-mixed
F... |
Dizzykong/gpt2-medium-commands | 92ddf481c571555d1df8b730043b7da97e200bcf | 2022-05-19T22:45:13.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"model-index"
] | text-generation | false | Dizzykong | null | Dizzykong/gpt2-medium-commands | 23 | null | transformers | 7,948 | ---
tags:
- generated_from_trainer
model-index:
- name: gpt2-medium-commands
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-medium-commands
This model i... |
pritam18/swadeshi_hindiwav2vec2asr | d7189be4d532299bf13a1d3d3ef5883201270ad8 | 2022-06-29T16:37:02.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | pritam18 | null | pritam18/swadeshi_hindiwav2vec2asr | 23 | null | transformers | 7,949 | swadeshi_hindiwav2vec2asr/ is a Hindi speech recognition model which is a fine tuned version of the theainerd/Wav2Vec2-large-xlsr-hindi model. The model achieved a Word Error Rate of 0.738 when trained when with 12 Hours of MUCS data with 30 epochs and given a batch size of 12. |
mehari/tig-roberta-base | 1e7f88b95b726c4db6ced7af5905597b308e4f44 | 2022-07-08T06:18:08.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | mehari | null | mehari/tig-roberta-base | 23 | null | transformers | 7,950 | Entry not found |
FigoMe/sonnet_keyword_gen | f453014249e0c3cbca6c2e86daaa4a4cc45e3972 | 2022-05-24T23:32:50.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | FigoMe | null | FigoMe/sonnet_keyword_gen | 23 | null | transformers | 7,951 | Entry not found |
sbenel/emotion-distilbert | a012e44cd6c487e1e8215fd85e70c1349845cdee | 2022-07-09T16:34:13.000Z | [
"pytorch",
"distilbert",
"text-classification",
"en",
"transformers",
"emotion",
"license:apache-2.0"
] | text-classification | false | sbenel | null | sbenel/emotion-distilbert | 23 | null | transformers | 7,952 | ---
license: apache-2.0
language: en
tags:
- text-classification
- pytorch
- emotion
metrics:
- accuracy, F1 score
dataset:
- emotion
---
## Training Parameters
```
learning rate: 2e-5
epochs: 40
weight decay: 0.01
batch size: 16
```
## Metrics
```
acuraccy: 0.93
macro-F1 (macro avg): 0.88
best epoch: 15
```
## Dat... |
aware-ai/robust-wav2vec2-base-german | 404de64d9f4ba27555493d5fa464c9094054f780 | 2022-05-31T13:30:23.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | aware-ai | null | aware-ai/robust-wav2vec2-base-german | 23 | null | transformers | 7,953 | Entry not found |
huggingtweets/botphilosophyq-philosophical_9-philosophy_life | 84659941cc7ba7ca59d36e6d7ed67410c2cee628 | 2022-05-31T12:56:27.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/botphilosophyq-philosophical_9-philosophy_life | 23 | null | transformers | 7,954 | ---
language: en
thumbnail: http://www.huggingtweets.com/botphilosophyq-philosophical_9-philosophy_life/1654001783159/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; margi... |
arize-ai/distilbert_reviews_with_language_drift | f3997bc7d78f2d4903e1b7a444132adeb77c8b2e | 2022-06-01T06:15:35.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:ecommerce_reviews_with_language_drift",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | arize-ai | null | arize-ai/distilbert_reviews_with_language_drift | 23 | null | transformers | 7,955 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- ecommerce_reviews_with_language_drift
metrics:
- accuracy
- f1
model-index:
- name: distilbert_reviews_with_language_drift
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: ecommerce_reviews_wi... |
RUCAIBox/mvp-task-dialog | b2c5dc8fb36f4ef4d15ae085d3dc6b78d54ce896 | 2022-06-27T02:28:25.000Z | [
"pytorch",
"mvp",
"en",
"arxiv:2206.12131",
"transformers",
"text-generation",
"text2text-generation",
"license:apache-2.0"
] | text2text-generation | false | RUCAIBox | null | RUCAIBox/mvp-task-dialog | 23 | 1 | transformers | 7,956 | ---
license: apache-2.0
language:
- en
tags:
- text-generation
- text2text-generation
pipeline_tag: text2text-generation
widget:
- text: "Given the task dialog: Belief state [X_SEP] I'm looking for a affordable BBQ restaurant in Dallas for a large group of guest."
example_title: "Example1"
- text: "Given the task dia... |
vortixhead/distilbert-base-uncased-finetuned-emotion | ebf52ef7323a83dc4dd67ac9a5eb795032e39a1c | 2022-07-14T12:00:08.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | vortixhead | null | vortixhead/distilbert-base-uncased-finetuned-emotion | 23 | null | transformers | 7,957 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... |
eslamxm/arabert2arabert-finetuned-ar-xlsum | 955789ed12f1b24fbd6abb89d510e48238fbd49d | 2022-06-07T09:34:31.000Z | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:xlsum",
"transformers",
"summarization",
"ar",
"arabert",
"Abstractive Summarization",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | summarization | false | eslamxm | null | eslamxm/arabert2arabert-finetuned-ar-xlsum | 23 | null | transformers | 7,958 | ---
tags:
- summarization
- ar
- encoder-decoder
- arabert
- Abstractive Summarization
- generated_from_trainer
datasets:
- xlsum
model-index:
- name: arabert2arabert-finetuned-ar-xlsum
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
s... |
KoichiYasuoka/deberta-base-japanese-unidic-luw-upos | e750b897e815e2324a9fea5f266be88dd83ddcb4 | 2022-06-26T13:35:54.000Z | [
"pytorch",
"deberta-v2",
"token-classification",
"ja",
"dataset:universal_dependencies",
"transformers",
"japanese",
"pos",
"dependency-parsing",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | token-classification | false | KoichiYasuoka | null | KoichiYasuoka/deberta-base-japanese-unidic-luw-upos | 23 | null | transformers | 7,959 | ---
language:
- "ja"
tags:
- "japanese"
- "token-classification"
- "pos"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "cc-by-sa-4.0"
pipeline_tag: "token-classification"
widget:
- text: "国境の長いトンネルを抜けると雪国であった。"
---
# deberta-base-japanese-unidic-luw-upos
## Model Description
This is a DeBERTa(... |
jungealexander/distilbert-base-uncased-finetuned-go_emotions_20220608_1 | 997c80125fd925ac808ee63fc2ac0e7d1c8d58cd | 2022-06-08T20:14:00.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:go_emotions",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | jungealexander | null | jungealexander/distilbert-base-uncased-finetuned-go_emotions_20220608_1 | 23 | null | transformers | 7,960 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- go_emotions
metrics:
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-go_emotions_20220608_1
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: go_emotions
type: go_e... |
binay1999/distilbert-cybertexts-preprocessed | 4b3657434eae047989152e10c1547db361b06726 | 2022-06-12T23:04:12.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | binay1999 | null | binay1999/distilbert-cybertexts-preprocessed | 23 | null | transformers | 7,961 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-cybertexts-preprocessed
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. -->
# ... |
cotcode/wav2vec2-finetuned-ch-emotion-edu | 50785b0b1195118ca03949cc931bf134005cc44c | 2022-06-15T18:31:23.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"audio-classification",
"transformers"
] | audio-classification | false | cotcode | null | cotcode/wav2vec2-finetuned-ch-emotion-edu | 23 | null | transformers | 7,962 | Entry not found |
Elijah629/DialoGPT-mrsanai | 36746e7bfc02c351d875379b88388e94a6d948e7 | 2022-06-17T00:43:34.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Elijah629 | null | Elijah629/DialoGPT-mrsanai | 23 | null | transformers | 7,963 | ---
tags:
- conversational
--- |
RJuro/Da-HyggeBERT | 042b1f41ef57e80138cebca6be82ae6403be18cb | 2022-06-24T11:09:39.000Z | [
"pytorch",
"bert",
"text-classification",
"da",
"dataset:go_emotions",
"transformers",
"danish",
"sentiment",
"Maltehb/danish-bert-botxo",
"Helsinki-NLP/opus-mt-en-da",
"go-emotion",
"Certainly",
"license:cc-by-4.0"
] | text-classification | false | RJuro | null | RJuro/Da-HyggeBERT | 23 | 2 | transformers | 7,964 | ---
language: da
tags:
- danish
- bert
- sentiment
- text-classification
- Maltehb/danish-bert-botxo
- Helsinki-NLP/opus-mt-en-da
- go-emotion
- Certainly
license: cc-by-4.0
datasets:
- go_emotions
metrics:
- Accuracy
widget:
- text: "Det er så sødt af dig at tænke på andre på den måde ved du det?"
- text: "Jeg vil ger... |
autoevaluate/image-multi-class-classification | 2d124b482e1f813185e62fa5b09882ea81fcb74a | 2022-06-21T14:29:00.000Z | [
"pytorch",
"tensorboard",
"swin",
"image-classification",
"dataset:mnist",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | autoevaluate | null | autoevaluate/image-multi-class-classification | 23 | null | transformers | 7,965 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- mnist
metrics:
- accuracy
model-index:
- name: image-classification
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: mnist
type: mnist
args: mnist
metrics:
- name: Accura... |
danieleV9H/wav2vec2-base-ft-cv3-v3 | 6357081470022bf7d686a6b799b0510e9996e796 | 2022-07-02T08:18:23.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | danieleV9H | null | danieleV9H/wav2vec2-base-ft-cv3-v3 | 23 | null | transformers | 7,966 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-base-ft-cv3-v3
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 co... |
webshop/il-rl-choice-bert-image_1 | 1a0f94f9ca9a153dc67b5ad617298fead3f60f67 | 2022-06-30T06:48:52.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | webshop | null | webshop/il-rl-choice-bert-image_1 | 23 | null | transformers | 7,967 | Entry not found |
alexjercan/codet5-base-masked-buggy-code-repair | 35de7413eaf2c57bd36ca0f1364b5edc51d4f8e4 | 2022-06-30T13:06:14.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | alexjercan | null | alexjercan/codet5-base-masked-buggy-code-repair | 23 | null | transformers | 7,968 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: codet5-base-masked-buggy-code-repair
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread an... |
arize-ai/XLM-RoBERTa-xtreme-en-token-drift | c03c6ec259ffb6e8407b49d0d3323414eac8f7ff | 2022-07-01T01:48:49.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"dataset:xtreme_en_token_drift",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | arize-ai | null | arize-ai/XLM-RoBERTa-xtreme-en-token-drift | 23 | null | transformers | 7,969 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme_en_token_drift
metrics:
- accuracy
- f1
widget:
- text: "My name is Julia, I study at Imperial College, in London"
example_title: "Example 1"
- text: "My name is Sarah and I live in Paris"
example_title: "Example 2"
- text: "My name is Clara and I l... |
duchung17/wav2vec2-base-timit-demo-google-colab | 7e40948aa7e77ed2fc8d447370e0ed6f4ed7d7f8 | 2022-07-05T15:24:28.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | duchung17 | null | duchung17/wav2vec2-base-timit-demo-google-colab | 23 | null | transformers | 7,970 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-timit-demo-google-colab
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
... |
Aktsvigun/bart-base_aeslc_4837 | 7c6aee9d1f927a99bdd79aaaa5e8165c188e3565 | 2022-07-07T15:03:46.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Aktsvigun | null | Aktsvigun/bart-base_aeslc_4837 | 23 | null | transformers | 7,971 | Entry not found |
Yehor/wav2vec2-xls-r-300m-uk-with-news-lm | 50b53646bf1612173993b1e8f8395fe5a2f8a207 | 2022-07-30T07:00:53.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"uk",
"dataset:mozilla-foundation/common_voice_10_0",
"transformers",
"license:cc-by-nc-sa-4.0"
] | automatic-speech-recognition | false | Yehor | null | Yehor/wav2vec2-xls-r-300m-uk-with-news-lm | 23 | null | transformers | 7,972 | ---
language:
- uk
license: "cc-by-nc-sa-4.0"
datasets:
- mozilla-foundation/common_voice_10_0
---
🇺🇦 Join Ukrainian Speech Recognition Community - https://t.me/speech_recognition_uk
⭐ See other Ukrainian models - https://github.com/egorsmkv/speech-recognition-uk
This model has apostrophes and hyphens.
The lan... |
xzhang/distilgpt2-finetuned-spam | 5f3e53101bb089ed6c8af7929d72594fe8e9b0b6 | 2022-07-03T19:09:37.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | xzhang | null | xzhang/distilgpt2-finetuned-spam | 23 | null | transformers | 7,973 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-spam
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. -->
# distilgpt... |
ArnavL/roberta-reviews-imdb-0 | c0139a78c047a496bb58b3aed9751fa215f973d3 | 2022-07-09T19:01:24.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | ArnavL | null | ArnavL/roberta-reviews-imdb-0 | 23 | null | transformers | 7,974 | Entry not found |
dmrau/bow-bert | 5c0cce3298d0b5b84d05a5ff0186a978994ebd1a | 2022-07-12T12:50:12.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers",
"license:afl-3.0"
] | text-classification | false | dmrau | null | dmrau/bow-bert | 23 | null | transformers | 7,975 | ---
license: afl-3.0
---
<strong>Example on how to load and use BOW-BERT: <strong>
```
from transformers import AutoModelForSequenceClassification, AutoTokenizer
# load model
model = AutoModelForSequenceClassification.from_pretrained('dmrau/bow-bert')
# load tokenizer
tokenizer = AutoTokenizer.from_pretrained('bert-b... |
simecek/DNADebertaBPE30k | bb160690d3ac13a6dd4a53d2448f0c9e7561442f | 2022-07-15T06:45:23.000Z | [
"pytorch",
"tensorboard",
"deberta",
"fill-mask",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | fill-mask | false | simecek | null | simecek/DNADebertaBPE30k | 23 | null | transformers | 7,976 | ---
tags:
- generated_from_trainer
model-index:
- name: DNADebertaBPE30k
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. -->
# DNADebertaBPE30k
This model is a fine... |
khosseini/bert_1760_1900 | 6c8912e1c770f9d8e46aef218d42433265751678 | 2022-07-18T09:30:32.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | khosseini | null | khosseini/bert_1760_1900 | 23 | null | transformers | 7,977 | # Neural Language Models for Nineteenth-Century English: bert_1760_1900
## Introduction
BERT model trained on a large historical dataset of books in English, published between 1760-1900 and comprised of ~5.1 billion tokens.
- Data paper: http://doi.org/10.5334/johd.48
- Github repository: https://github.com/Living-... |
khosseini/bert_1850_1875 | 0a01a6b22910cd8b12d79725b3004387c58377ea | 2022-07-18T09:33:56.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | khosseini | null | khosseini/bert_1850_1875 | 23 | null | transformers | 7,978 | # Neural Language Models for Nineteenth-Century English: bert_1850_1875
## Introduction
BERT model trained on a large historical dataset of books in English, published between 1850-1875 and comprised of ~1.3 billion tokens.
- Data paper: http://doi.org/10.5334/johd.48
- Github repository: https://github.com/Living-... |
rosicast/hubert-large-ll60k-korean-zeroth-jamo | f71d54554bf42ebadc39d62b7cc25ba289a670c6 | 2022-07-25T19:40:51.000Z | [
"pytorch",
"hubert",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | rosicast | null | rosicast/hubert-large-ll60k-korean-zeroth-jamo | 23 | null | transformers | 7,979 | Entry not found |
google/ddpm-ema-celebahq-256 | 8b7b4bc06bd63d536e5b50a81ed73c1c7fdb2067 | 2022-07-21T15:00:38.000Z | [
"diffusers",
"arxiv:2006.11239",
"pytorch",
"unconditional-image-generation",
"license:apache-2.0"
] | unconditional-image-generation | false | google | null | google/ddpm-ema-celebahq-256 | 23 | null | diffusers | 7,980 | ---
license: apache-2.0
tags:
- pytorch
- diffusers
- unconditional-image-generation
---
# Denoising Diffusion Probabilistic Models (DDPM)
**Paper**: [Denoising Diffusion Probabilistic Models](https://arxiv.org/abs/2006.11239)
**Authors**: Jonathan Ho, Ajay Jain, Pieter Abbeel
**Abstract**:
*We present high qualit... |
Muennighoff/bloom-tiny-random | a0289b14c88d36f6ad7c4595443c1c5f102a18e5 | 2022-07-21T08:44:10.000Z | [
"pytorch",
"bloom",
"feature-extraction",
"eng",
"transformers",
"integration",
"text-generation"
] | text-generation | false | Muennighoff | null | Muennighoff/bloom-tiny-random | 23 | null | transformers | 7,981 | ---
language:
- eng
tags:
- integration
pipeline_tag: text-generation
---
# BigScience - testing model
This model aims to test the conversion between Megatron-LM and transformers. It is a small ```GPT-2```-like model that has been used to debug the script. Use it only for integration tests |
zhenglianchi/unAPI-train-model | 243d11f03b21be5928260bc631f28b867a5acf3d | 2022-07-22T07:09:00.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | zhenglianchi | null | zhenglianchi/unAPI-train-model | 23 | null | transformers | 7,982 | Entry not found |
tattle-admin/july22-xlmtwtroberta-da-multi | bafb0c6e58d99a0e23eaacd40542dd73acaba48c | 2022-07-22T08:08:52.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | false | tattle-admin | null | tattle-admin/july22-xlmtwtroberta-da-multi | 23 | null | transformers | 7,983 | Entry not found |
SIMAS-UN/blaming_government | ea64090a47a6b4eca351c4848619122976456d6c | 2022-07-24T03:58:39.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | SIMAS-UN | null | SIMAS-UN/blaming_government | 23 | null | transformers | 7,984 | Entry not found |
weijiahaha/t5-small-medicalnews-summarization | 92a45ada8f2e9d504b8dfef36755dbbb801070ac | 2022-07-27T10:00:34.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:billsum",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | weijiahaha | null | weijiahaha/t5-small-medicalnews-summarization | 23 | null | transformers | 7,985 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- billsum
model-index:
- name: t5-small-medicalnews-summarization
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 t... |
GeniusVoice/mmarco-mMiniLMv2-L4-H384-v1-distilled | becacf7b93be80205c06d637570cef17f2eb7b20 | 2022-07-27T13:42:43.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | false | GeniusVoice | null | GeniusVoice/mmarco-mMiniLMv2-L4-H384-v1-distilled | 23 | null | transformers | 7,986 | Entry not found |
Alaeddin/convbert-base-turkish-ner-cased | 7b931e17bb65794b696b8d761111815d38311fab | 2021-04-13T20:20:58.000Z | [
"pytorch",
"convbert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | Alaeddin | null | Alaeddin/convbert-base-turkish-ner-cased | 22 | null | transformers | 7,987 | |
ArBert/bert-base-uncased-finetuned-ner | 9994b81a86d4e0c1bb1f9a7c473fa1599d5261de | 2022-02-09T10:46:38.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | ArBert | null | ArBert/bert-base-uncased-finetuned-ner | 22 | null | transformers | 7,988 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-uncased-finetuned-ner
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and com... |
BSC-TeMU/roberta-base-bne-capitel-pos | 1ec726f584ea0e8a76c61e5fa53983138e1e2956 | 2021-10-21T10:29:55.000Z | [
"pytorch",
"roberta",
"token-classification",
"es",
"dataset:bne",
"dataset:capitel",
"arxiv:1907.11692",
"arxiv:2107.07253",
"transformers",
"national library of spain",
"spanish",
"bne",
"capitel",
"pos",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | BSC-TeMU | null | BSC-TeMU/roberta-base-bne-capitel-pos | 22 | 3 | transformers | 7,989 | ---
language:
- es
license: apache-2.0
tags:
- "national library of spain"
- "spanish"
- "bne"
- "capitel"
- "pos"
datasets:
- "bne"
- "capitel"
metrics:
- "f1"
widget:
- text: "Festival de San Sebastián: Johnny Depp recibirá el premio Donostia en pleno rifirrafe judicial con Amber Heard"
- text: "El alcalde de Vigo... |
BlightZz/DialoGPT-medium-Kurisu | f2f0da1675ee4091bc5f31f06adbc763b28d5a8c | 2021-07-01T22:12:18.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | BlightZz | null | BlightZz/DialoGPT-medium-Kurisu | 22 | 1 | transformers | 7,990 | ---
tags:
- conversational
---
# A new medium model based on the character Makise Kurisu from Steins;Gate.
# Still has some issues that were present in the previous model, for example, mixing lines from other characters.
# If you have any questions, feel free to ask me on discord: BlightZz#1169 |
CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-glf | fc770b520d1075a7105343806d6079fdde0a8c30 | 2021-10-18T10:13:34.000Z | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | CAMeL-Lab | null | CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-glf | 22 | null | transformers | 7,991 | ---
language:
- ar
license: apache-2.0
widget:
- text: 'شلونك ؟ شخبارك ؟'
---
# CAMeLBERT-CA POS-GLF Model
## Model description
**CAMeLBERT-CA POS-GLF Model** is a Gulf Arabic POS tagging model that was built by fine-tuning the [CAMeLBERT-CA](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-ca/) model.
For... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-glf | b6554a2895d68987fdde3eaa4bc9857ad8c96293 | 2021-10-18T10:16:30.000Z | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | CAMeL-Lab | null | CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-glf | 22 | null | transformers | 7,992 | ---
language:
- ar
license: apache-2.0
widget:
- text: 'شلونك ؟ شخبارك ؟'
---
# CAMeLBERT-Mix POS-GLF Model
## Model description
**CAMeLBERT-Mix POS-GLF Model** is a Gulf Arabic POS tagging model that was built by fine-tuning the [CAMeLBERT-Mix](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-mix/) model.... |
CNT-UPenn/RoBERTa_for_seizureFrequency_QA | 2d3c49cfd9bb86df0140738823349d5863c500f5 | 2022-03-02T19:02:06.000Z | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | CNT-UPenn | null | CNT-UPenn/RoBERTa_for_seizureFrequency_QA | 22 | null | transformers | 7,993 | RoBERTa-base with additional training through the finetuning pipeline described in "Extracting Seizure Frequency From Epilepsy Clinic Notes: A Machine Reading Approach To Natural Language Processing."
Citation: Kevin Xie, Ryan S Gallagher, Erin C Conrad, Chadric O Garrick, Steven N Baldassano, John M Bernabei, Peter ... |
Cameron/BERT-jigsaw-identityhate | f4e3415be9e7476886fabbf2b3f0bede3ce55e9f | 2021-05-18T17:27:44.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Cameron | null | Cameron/BERT-jigsaw-identityhate | 22 | null | transformers | 7,994 | Entry not found |
Davlan/xlm-roberta-base-finetuned-swahili | cef3c7fa4f9a681d2a05df92ae8167d7353fef93 | 2021-05-28T14:12:32.000Z | [
"pytorch",
"xlm-roberta",
"fill-mask",
"sw",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Davlan | null | Davlan/xlm-roberta-base-finetuned-swahili | 22 | null | transformers | 7,995 | Hugging Face's logo
---
language: sw
datasets:
---
# xlm-roberta-base-finetuned-swahili
## Model description
**xlm-roberta-base-finetuned-swahili** is a **Swahili RoBERTa** model obtained by fine-tuning **xlm-roberta-base** model on Swahili language texts. It provides **better performance** than the XLM-RoBERTa on te... |
Geotrend/bert-base-ro-cased | 3b7606844688c0dab16012991cc71502e88d0204 | 2021-05-18T20:08:29.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ro",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Geotrend | null | Geotrend/bert-base-ro-cased | 22 | null | transformers | 7,996 | ---
language: ro
datasets: wikipedia
license: apache-2.0
---
# bert-base-ro-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/disti... |
Helsinki-NLP/opus-mt-en-gmq | 31425dc86abe19cea6d8cca4490aed02cd0d9260 | 2021-01-18T08:08:21.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"da",
"nb",
"sv",
"is",
"nn",
"fo",
"gmq",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-gmq | 22 | 1 | transformers | 7,997 | ---
language:
- en
- da
- nb
- sv
- is
- nn
- fo
- gmq
tags:
- translation
license: apache-2.0
---
### eng-gmq
* source group: English
* target group: North Germanic languages
* OPUS readme: [eng-gmq](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gmq/README.md)
* model: transformer
... |
Helsinki-NLP/opus-mt-es-et | 86b01b0a61ac4372314010e98391893b33ac8445 | 2021-09-09T21:42:16.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"et",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-et | 22 | null | transformers | 7,998 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-et
* source languages: es
* target languages: et
* OPUS readme: [es-et](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-et/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-fj-en | 5fa8cce1063eac808d065d4cf26349ba1f145073 | 2021-09-09T21:52:36.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fj",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fj-en | 22 | null | transformers | 7,999 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fj-en
* source languages: fj
* target languages: en
* OPUS readme: [fj-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fj-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.