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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ayameRushia/wav2vec2-large-xlsr-indonesia | 4d4cfcc4e85925287251196c3e0c10a8a6b2ea33 | 2021-08-11T22:59:40.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"id",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | ayameRushia | null | ayameRushia/wav2vec2-large-xlsr-indonesia | 10 | null | transformers | 11,600 | ---
language: id
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Indonesia by Ayame Rushia
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: ... |
baffo32/t5-base-ptmap | f55711d8ce3fe931b42b712a0f97e68234719d01 | 2021-12-16T23:38:12.000Z | [
"pytorch",
"tf",
"jax",
"rust",
"t5",
"text2text-generation",
"en",
"fr",
"ro",
"de",
"dataset:c4",
"arxiv:1910.10683",
"transformers",
"summarization",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | baffo32 | null | baffo32/t5-base-ptmap | 10 | null | transformers | 11,601 | ---
language:
- en
- fr
- ro
- de
datasets:
- c4
tags:
- summarization
- translation
license: apache-2.0
---
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html)
Pretraining Dataset: [C4](https://huggingface.co/datasets/c4)
Other Community Checkpoints: [here](https://huggingfa... |
bayartsogt/mongolian-gpt2 | 2dd803c6fce87848f5c104828c4beefdfe1cb160 | 2021-07-05T00:35:33.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | bayartsogt | null | bayartsogt/mongolian-gpt2 | 10 | 3 | transformers | 11,602 | Entry not found |
benjamin/roberta-base-wechsel-chinese | afea91a60de452108ce81656b76e0ff8927fe1ef | 2022-07-13T23:44:31.000Z | [
"pytorch",
"roberta",
"fill-mask",
"zh",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | benjamin | null | benjamin/roberta-base-wechsel-chinese | 10 | 1 | transformers | 11,603 | ---
language: zh
license: mit
---
# roberta-base-wechsel-chinese
Model trained with WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.
See the code here: https://github.com/CPJKU/wechsel
And the paper here: https://aclanthology.org/2022.naacl-main.293/... |
benjaminbeilharz/bert-base-uncased-empatheticdialogues-sentiment-classifier | efa5754ea6ae38d202d0abe0c112c46b485108ab | 2022-01-27T13:22:34.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | benjaminbeilharz | null | benjaminbeilharz/bert-base-uncased-empatheticdialogues-sentiment-classifier | 10 | null | transformers | 11,604 | ---
dataset: empathetic_dialogues
---
|
berkergurcay/10k-pretrained-bert-model | 5e62dde6090a1c3a0fa803363066237ded2b9a39 | 2021-05-27T10:15:44.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | berkergurcay | null | berkergurcay/10k-pretrained-bert-model | 10 | null | transformers | 11,605 | Entry not found |
binwang/roberta-base | 18bc8c776565ca92d52bffd5c216b3722098f28c | 2021-05-20T14:27:23.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | binwang | null | binwang/roberta-base | 10 | null | transformers | 11,606 | Entry not found |
blackbird/bert-base-uncased-MNLI-v1 | 2be386f0ba0aa48ae4f2f1d901d77f8c6418cdde | 2021-05-19T12:57:23.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | blackbird | null | blackbird/bert-base-uncased-MNLI-v1 | 10 | null | transformers | 11,607 | BERT based model finetuned on MNLI with our custom training routine.
Yields 60% accuraqcy on adversarial HANS dataset. |
bookbot/gpt2-indo-small-kids-stories | 51b36472e20275183d8c80ccaf89dcdd010c292e | 2021-09-03T12:27:43.000Z | [
"pytorch",
"gpt2",
"text-generation",
"id",
"transformers",
"gpt2-indo-small-kids-stories",
"license:mit"
] | text-generation | false | bookbot | null | bookbot/gpt2-indo-small-kids-stories | 10 | null | transformers | 11,608 | ---
language: id
tags:
- gpt2-indo-small-kids-stories
license: mit
widget:
- text: "Archie sedang mengendarai roket ke planet Mars."
---
## GPT-2 Indonesian Small Kids Stories
GPT-2 Indonesian Small Kids Stories is a causal language model based on the [OpenAI GPT-2](https://cdn.openai.com/better-language-models/l... |
brandontanzhirong/paraphrasing-tool_t5-finetuned-QQP | 67daa6a838477666f47528273dd6c0a740b76a50 | 2022-03-09T02:17:27.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | brandontanzhirong | null | brandontanzhirong/paraphrasing-tool_t5-finetuned-QQP | 10 | null | transformers | 11,609 | Entry not found |
btk/gpt2_articles1 | 087a77bd778d444d181bf135b41b8066e516ac5a | 2021-05-21T14:29:08.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | btk | null | btk/gpt2_articles1 | 10 | null | transformers | 11,610 | Entry not found |
castorini/afriberta_small | 51667384e9f1571857fbcb68490c10b3abe1f141 | 2022-06-15T18:20:16.000Z | [
"pytorch",
"tf",
"xlm-roberta",
"fill-mask",
"om",
"am",
"rw",
"rn",
"ha",
"ig",
"pcm",
"so",
"sw",
"ti",
"yo",
"multilingual",
"transformers",
"autotrain_compatible"
] | fill-mask | false | castorini | null | castorini/afriberta_small | 10 | null | transformers | 11,611 | Hugging Face's logo
---
language:
- om
- am
- rw
- rn
- ha
- ig
- pcm
- so
- sw
- ti
- yo
- multilingual
---
# afriberta_small
## Model description
AfriBERTa small is a pretrained multilingual language model with around 97 million parameters.
The model has 4 layers, 6 attention heads, 768 hidden units and 3072 feed f... |
ccdv/lsg-legal-small-uncased-4096 | c6f7c88275b83f59c7ac5e82394f40d5e04bcd84 | 2022-07-25T05:28:38.000Z | [
"pytorch",
"bert",
"en",
"transformers",
"long context",
"legal",
"fill-mask"
] | fill-mask | false | ccdv | null | ccdv/lsg-legal-small-uncased-4096 | 10 | null | transformers | 11,612 | ---
language: en
tags:
- long context
- legal
pipeline_tag: fill-mask
---
# LSG model
**Transformers >= 4.18.0**\
**This model relies on a custom modeling file, you need to add trust_remote_code=True**\
**See [\#13467](https://github.com/huggingface/transformers/pull/13467)**
* [Usage](#usage)
* [Parameters](#parame... |
clue/roberta_chinese_3L768_clue_tiny | b081007f58422f1e6fe322193ae3b525a3db1e5f | 2021-05-20T15:23:12.000Z | [
"pytorch",
"jax",
"roberta",
"transformers"
] | null | false | clue | null | clue/roberta_chinese_3L768_clue_tiny | 10 | 1 | transformers | 11,613 | Entry not found |
clue/roberta_chinese_clue_large | e181810d303db64b8387a4da84a0fbdb4604e728 | 2021-05-20T15:26:30.000Z | [
"pytorch",
"jax",
"roberta",
"transformers"
] | null | false | clue | null | clue/roberta_chinese_clue_large | 10 | null | transformers | 11,614 | Entry not found |
danurahul/RuGPT3_german20 | 2f6699a65b9243d234f936e8edce842e0de76ca6 | 2021-05-21T15:12:32.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | danurahul | null | danurahul/RuGPT3_german20 | 10 | null | transformers | 11,615 | Entry not found |
dbmdz/electra-base-turkish-mc4-cased-generator | 6b6a99820f1e56cbc2d7ae13cee02bd7453e04a9 | 2021-09-23T10:44:46.000Z | [
"pytorch",
"tf",
"electra",
"fill-mask",
"tr",
"dataset:allenai/c4",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | dbmdz | null | dbmdz/electra-base-turkish-mc4-cased-generator | 10 | null | transformers | 11,616 | ---
language: tr
license: mit
datasets:
- allenai/c4
widget:
- text: "[MASK] sözcüğü Türkçe kökenlidir"
---
# 🇹🇷 Turkish ELECTRA model
<p align="center">
<img alt="Logo provided by Merve Noyan" title="Awesome logo from Merve Noyan" src="https://raw.githubusercontent.com/stefan-it/turkish-bert/master/merve_logo.pn... |
debatelab/cript-medium | 89f14b6328841c13c325575d01ee8650aff7a30b | 2021-05-21T15:39:12.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"arxiv:2009.07185",
"transformers"
] | text-generation | false | debatelab | null | debatelab/cript-medium | 10 | null | transformers | 11,617 | ---
language: en
tags:
- gpt2
---
# CRiPT Model Medium (Critical Thinking Intermediarily Pretrained Transformer)
Medium version of the trained model (`SYL01-2020-10-24-72K/gpt2-medium-train03-72K`) presented in the paper "Critical Thinking for Language Models" (Betz, Voigt and Richardson 2020). See also:
* [blog entry... |
dragonSwing/viwav2vec2-base-100h | 4277bc7acda6721dcdadfdddc4275c51a2305fc7 | 2021-08-26T03:25:02.000Z | [
"pytorch",
"wav2vec2",
"pretraining",
"vi",
"dataset:vlsp",
"arxiv:2006.11477",
"transformers",
"speech",
"automatic-speech-recognition",
"license:apache-2.0"
] | automatic-speech-recognition | false | dragonSwing | null | dragonSwing/viwav2vec2-base-100h | 10 | null | transformers | 11,618 | ---
language: vi
datasets:
- vlsp
tags:
- speech
- automatic-speech-recognition
license: apache-2.0
---
# Wav2Vec2-Base-Pretrain-Vietnamese
The base model is pre-trained on 16kHz sampled speech audio from 100h Vietnamese unlabelled data in [VLSP dataset](https://drive.google.com/file/d/1vUSxdORDxk-ePUt-bUVDahpoXiqKchMx... |
dweb/deberta-base-CoLA | faffa835843a2e649503511dd0db47735875d660 | 2021-09-29T17:37:10.000Z | [
"pytorch",
"tensorboard",
"deberta",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | dweb | null | dweb/deberta-base-CoLA | 10 | null | transformers | 11,619 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: deberta-base-CoLA
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. -->
#... |
echarlaix/bert-base-uncased-sst2-static-quant-test | 16166b0f9984aa3fab3f30b1f7819b5663f6e898 | 2021-09-29T19:18:45.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | echarlaix | null | echarlaix/bert-base-uncased-sst2-static-quant-test | 10 | null | transformers | 11,620 | Entry not found |
edwardgowsmith/pt-finegrained-one-shot | 57bbe28f31dd5451b2e3300ccaec76e6614928d0 | 2021-09-08T11:51:40.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | false | edwardgowsmith | null | edwardgowsmith/pt-finegrained-one-shot | 10 | null | transformers | 11,621 | Entry not found |
emillykkejensen/daT5-base | 4bef8aa90ff32704fdf0faa1acf3f4b1904a90fe | 2022-01-06T11:14:19.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"da",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | emillykkejensen | null | emillykkejensen/daT5-base | 10 | null | transformers | 11,622 | ---
language:
- da
license: apache-2.0
---
## daT5-base
A smaller version of [Google's mt5-base](https://huggingface.co/google/mt5-base) model, where the original model is reduced to only include Danish embeddings.
## How to use
```python
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.fro... |
erwanlc/t5-cocktails_recipe-small | c098b03fa9dd3f98b69a740aa07910e006254b02 | 2022-01-17T10:52:30.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | erwanlc | null | erwanlc/t5-cocktails_recipe-small | 10 | null | transformers | 11,623 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-cocktails_recipe-small
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. -->
# t5-cockta... |
ffsouza/t5-tiny-random-length-128-learning_rate-2e-05-weight_decay-0.01-finetuned-en-to-ro | 998b271b9b2c004a36f7f3dcdde4dfd718a51fce | 2021-12-03T21:45:00.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:wmt16_en_ro_pre_processed",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | ffsouza | null | ffsouza/t5-tiny-random-length-128-learning_rate-2e-05-weight_decay-0.01-finetuned-en-to-ro | 10 | null | transformers | 11,624 | ---
tags:
- generated_from_trainer
datasets:
- wmt16_en_ro_pre_processed
model-index:
- name: t5-tiny-random-length-128-learning_rate-2e-05-weight_decay-0.01-finetuned-en-to-ro
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pro... |
flax-community/RoBERTa-large-finnish | e34232dfa2b7e0b18964681da63c3d64b365634b | 2021-09-22T17:31:14.000Z | [
"pytorch",
"jax",
"tensorboard",
"roberta",
"fill-mask",
"fi",
"dataset:mc4",
"arxiv:1907.11692",
"transformers",
"finnish",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | flax-community | null | flax-community/RoBERTa-large-finnish | 10 | null | transformers | 11,625 | ---
language:
- fi
license: apache-2.0
tags:
- finnish
- roberta
datasets:
- mc4
widget:
- text: "Moikka olen <mask> kielimalli."
---
# NOTE: We have trained newer and better Finnish RoBERTa large model which can be found from different repository: [https://huggingface.co/Finnish-NLP/roberta-large-finnish](https://hu... |
flax-community/Sinhala-gpt2 | ea266fac0bd9c9cbaf666066bf92fdef001a9e0c | 2021-07-19T11:20:34.000Z | [
"pytorch",
"tf",
"jax",
"tensorboard",
"gpt2",
"feature-extraction",
"si",
"dataset:mc4",
"transformers",
"Sinhala",
"text-generation"
] | feature-extraction | false | flax-community | null | flax-community/Sinhala-gpt2 | 10 | null | transformers | 11,626 | ---
language: si
tags:
- Sinhala
- text-generation
- gpt2
datasets:
- mc4
---
# Sinhala GPT2 trained on MC4 (manually cleaned)
### Overview
This is a smaller GPT2 model trained on [MC4](https://github.com/allenai/allennlp/discussions/5056) Sinhala dataset. As Sinhala is one of those low resource languages, there are ... |
flax-community/t5-v1_1-base-wikisplit | b1244d2fc34738699f6816e1d010225e4d69c213 | 2021-07-16T12:40:45.000Z | [
"pytorch",
"tf",
"jax",
"tensorboard",
"t5",
"text2text-generation",
"dataset:wiki_split",
"arxiv:1907.12461",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | flax-community | null | flax-community/t5-v1_1-base-wikisplit | 10 | null | transformers | 11,627 | ---
datasets:
- wiki_split
widget:
- text: "Mary likes to play football in her freetime whenever she meets with her friends that are very nice people."
---
# T5 model for sentence splitting in English
Sentence Split is the task of dividing a long sentence into multiple sentences.
E.g.:
```
Mary likes to play foo... |
flexudy/t5-base-conceptor | ec2689f84a92b80ab5b489ffb1aa97130302dce1 | 2021-09-14T23:27:35.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | flexudy | null | flexudy/t5-base-conceptor | 10 | 1 | transformers | 11,628 | # Towards Neuro-Symbolic Language Understanding
At [Flexudy](https://flexudy.com), we look for ways to unify symbolic and sub-symbolic methods to improve model interpretation and inference.
## Problem
1. Word embeddi... |
frahman/distilbert-base-uncased-finetuned-emotion | 13cb91af1faa421527b5eec7b99b0be2e0bcbc36 | 2022-07-13T12:58:49.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | frahman | null | frahman/distilbert-base-uncased-finetuned-emotion | 10 | null | transformers | 11,629 | ---
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... |
gfdream/dialogpt-small-harrypotter | e449a2b7281f99f0c6f4e3b7cc3c0b3c6dd0ce63 | 2021-09-12T22:53:53.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | gfdream | null | gfdream/dialogpt-small-harrypotter | 10 | null | transformers | 11,630 | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model |
ghadeermobasher/BC5CDR-Chem-Modified_biobert-large-cased | cb0d8f58ced0c4157153e342c6802649bf325a78 | 2022-02-10T14:07:50.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC5CDR-Chem-Modified_biobert-large-cased | 10 | null | transformers | 11,631 | Entry not found |
ghadeermobasher/BC5CDR-Chem-Modified_pubmed_full_3 | 931b82af2ebb495b41c2a97cdb1ab9102c3be8aa | 2022-02-16T19:58:02.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC5CDR-Chem-Modified_pubmed_full_3 | 10 | null | transformers | 11,632 | Entry not found |
ghadeermobasher/BC5CDR-Chem-Modified_scibert_scivocab_uncased_latest | 8202c4dd15e8dd0590e017ea7010b83991f51ebd | 2022-02-21T22:11:36.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC5CDR-Chem-Modified_scibert_scivocab_uncased_latest | 10 | null | transformers | 11,633 | Entry not found |
ghadeermobasher/BC5CDR-Chemical-imbalanced-biobert-v1.1_latest | 90e24806978e297a911b9ca3c59752be52e9f866 | 2022-02-21T22:54:48.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC5CDR-Chemical-imbalanced-biobert-v1.1_latest | 10 | null | transformers | 11,634 | Entry not found |
ghadeermobasher/BC5CDR-Chemical_Imbalanced-scibert_scivocab_cased | 46ad0dee6b4fe97d4836356bec9dd5b250b7f139 | 2022-01-23T16:17:49.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ghadeermobasher | null | ghadeermobasher/BC5CDR-Chemical_Imbalanced-scibert_scivocab_cased | 10 | null | transformers | 11,635 | Entry not found |
glob-asr/wav2vec2-xls-r-300m-spanish-large-LM | 5e06904e33c0854e23fa40e9f9505377953b391b | 2022-02-08T21:49:15.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"es",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | glob-asr | null | glob-asr/wav2vec2-xls-r-300m-spanish-large-LM | 10 | null | transformers | 11,636 | ---
license: apache-2.0
tags:
- generated_from_trainer
- "es"
- "robust-speech-event"
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-spanish-large
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probab... |
google/t5-efficient-base-nl24 | 57d20471536c07af0953819f4a3a07a4eda7455e | 2022-02-15T10:49:25.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2109.10686",
"transformers",
"deep-narrow",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/t5-efficient-base-nl24 | 10 | null | transformers | 11,637 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-BASE-NL24 (Deep-Narrow version)
T5-Efficient-BASE-NL24 is a variation of [Google's original T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) following the [T5 model architectur... |
google/t5-efficient-small-dm128 | c8420d21312366f6d6a18d1532d5eed674da02a6 | 2022-02-15T10:50:02.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2109.10686",
"transformers",
"deep-narrow",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/t5-efficient-small-dm128 | 10 | null | transformers | 11,638 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-SMALL-DM128 (Deep-Narrow version)
T5-Efficient-SMALL-DM128 is a variation of [Google's original T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) following the [T5 model archite... |
google/t5-efficient-small-nl24 | d8c44306ab2ef9586879e4806aa4eeba6aee7b8a | 2022-02-15T10:50:52.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2109.10686",
"transformers",
"deep-narrow",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/t5-efficient-small-nl24 | 10 | null | transformers | 11,639 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-SMALL-NL24 (Deep-Narrow version)
T5-Efficient-SMALL-NL24 is a variation of [Google's original T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) following the [T5 model architect... |
groar/gpt-neo-1.3B-finetuned-escape5 | 9d70aa7238a5395cbb187dad2a580727536c0b28 | 2022-02-16T20:30:38.000Z | [
"pytorch",
"tensorboard",
"gpt_neo",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | groar | null | groar/gpt-neo-1.3B-finetuned-escape5 | 10 | null | transformers | 11,640 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: gpt-neo-1.3B-finetuned-escape5
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt-... |
harish/PT-UP-xlmR-ContextIncluded_IdiomExcluded-4_BEST | 860f105706f536c24efde1c0f39cf338672f4986 | 2021-08-29T19:29:03.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers"
] | text-classification | false | harish | null | harish/PT-UP-xlmR-ContextIncluded_IdiomExcluded-4_BEST | 10 | null | transformers | 11,641 | Entry not found |
huggingartists/imagine-dragons | 3eeab89c22b40d6cf790c49c4b8bfcfa6c3b396a | 2021-09-11T13:36:33.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"dataset:huggingartists/imagine-dragons",
"transformers",
"huggingartists",
"lyrics",
"lm-head",
"causal-lm"
] | text-generation | false | huggingartists | null | huggingartists/imagine-dragons | 10 | null | transformers | 11,642 | ---
language: en
datasets:
- huggingartists/imagine-dragons
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; ... |
huggingtweets/andreskwon | fd48c3e5b87cbb1c49f8acbf889e5360011f06af | 2021-05-21T18:56:52.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/andreskwon | 10 | null | transformers | 11,643 | ---
language: en
thumbnail: https://www.huggingtweets.com/andreskwon/1600798823307/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 { col... |
huggingtweets/asimcesim | 2a1eb5db88e8a4a252db202b8d56ba35c3bab0fc | 2021-05-21T19:31:59.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/asimcesim | 10 | null | transformers | 11,644 | ---
language: en
thumbnail: http://res.cloudinary.com/huggingtweets/image/upload/v1600040134/asimcesim.jpg
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) {
.pro... |
huggingtweets/champagnennuts | fb235a80a51fd53e32491b45af3719102640b866 | 2021-05-21T22:08:38.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/champagnennuts | 10 | null | transformers | 11,645 | ---
language: en
thumbnail: https://www.huggingtweets.com/champagnennuts/1607666485102/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/christianreber | 667fb5705e82d6786689c9f94fb4463e18fd7eff | 2021-05-21T22:36:38.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/christianreber | 10 | null | transformers | 11,646 | ---
language: en
thumbnail: https://www.huggingtweets.com/christianreber/1603809204163/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/cyberglyphic | 12a999537bb3f5da34ada4121689df1ef04fcfd5 | 2021-05-22T00:02:21.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/cyberglyphic | 10 | null | transformers | 11,647 | ---
language: en
thumbnail: https://www.huggingtweets.com/cyberglyphic/1616616677471/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/137158878307... |
huggingtweets/filippodstavec | 2604034eec2737661e2ede1f82adfb9262e5c676 | 2021-05-22T04:13:22.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/filippodstavec | 10 | null | transformers | 11,648 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
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) {
.pros... |
huggingtweets/guestyperson | 42fdfc85fa2b670d83e03379b03e105800f0642a | 2021-05-22T06:18:00.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/guestyperson | 10 | null | transformers | 11,649 | ---
language: en
thumbnail: https://www.huggingtweets.com/guestyperson/1614136556129/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/132667427855... |
huggingtweets/hunny6ee | bf958f2832d9dcb0101f8683e20968e05059fd27 | 2021-05-22T07:18:23.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/hunny6ee | 10 | null | transformers | 11,650 | ---
language: en
thumbnail: https://www.huggingtweets.com/hunny6ee/1614119084449/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/1357037242615758... |
huggingtweets/justinbieber | 43dec4677b2b3041a22913ecc1192fe506d9c474 | 2022-07-04T22:31:11.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/justinbieber | 10 | null | transformers | 11,651 | ---
language: en
thumbnail: http://www.huggingtweets.com/justinbieber/1656973867282/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; wi... |
huggingtweets/sashasoftshark | 2285abae6c5b2e2991a540c63c3f8f74a238941c | 2021-05-22T21:58:33.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/sashasoftshark | 10 | null | transformers | 11,652 | ---
language: en
thumbnail: https://www.huggingtweets.com/sashasoftshark/1617793554312/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/1377790224... |
huggingtweets/telephuckyou | 5f7ae58e4954b632ea8f080aaf47da2cce6fe84e | 2021-05-23T00:56:00.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/telephuckyou | 10 | null | transformers | 11,653 | ---
language: en
thumbnail: https://www.huggingtweets.com/telephuckyou/1614119429657/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/136145182129... |
huggingtweets/tmarysuma | 8c662bbf6df311c9e8d44dda7a34a3599a979dbc | 2021-05-23T02:30:38.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/tmarysuma | 10 | null | transformers | 11,654 | ---
language: en
thumbnail: http://res.cloudinary.com/huggingtweets/image/upload/v1599932067/tmarysuma.jpg
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) {
.pro... |
ianporada/roberta_base_plausibility | 2999f0b2e1fe87e2109e58ca511a7af36fa63e29 | 2021-07-19T01:50:24.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | ianporada | null | ianporada/roberta_base_plausibility | 10 | null | transformers | 11,655 | Entry not found |
ibraheemmoosa/xlmindic-base-uniscript | ed01f99d0ef42e7db9c1279c360b94055000b693 | 2022-07-27T05:37:04.000Z | [
"pytorch",
"tf",
"jax",
"albert",
"pretraining",
"as",
"bn",
"gu",
"hi",
"mr",
"ne",
"or",
"pa",
"si",
"sa",
"bpy",
"mai",
"bh",
"gom",
"dataset:oscar",
"transformers",
"multilingual",
"masked-language-modeling",
"sentence-order-prediction",
"fill-mask",
"xlmindic",... | fill-mask | false | ibraheemmoosa | null | ibraheemmoosa/xlmindic-base-uniscript | 10 | 2 | transformers | 11,656 | ---
language:
- as
- bn
- gu
- hi
- mr
- ne
- or
- pa
- si
- sa
- bpy
- mai
- bh
- gom
license: apache-2.0
datasets:
- oscar
tags:
- multilingual
- albert
- masked-language-modeling
- sentence-order-prediction
- fill-mask
- xlmindic
- nlp
- indoaryan
- indicnlp
- iso15919
- transliteration
widget:
- text : 'rabīndranāt... |
imvladikon/bert-large-cased-finetuned-conll03-english | 7a2bf09d6c0f44657a8312acf64de2f9eda3888d | 2021-05-19T20:18:21.000Z | [
"pytorch",
"jax",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | imvladikon | null | imvladikon/bert-large-cased-finetuned-conll03-english | 10 | null | transformers | 11,657 | ```json
{
'epoch': 2.0,
'eval_accuracy': 0.9878289280037675,
'eval_f1': 0.9524406066842648,
'eval_loss': 0.06057225540280342,
'eval_mem_cpu_alloc_delta': 2711552,
'eval_mem_cpu_peaked_delta': 2113536,
'eval_mem_gpu_alloc_delta': 0,
'eval_mem_gpu_peaked_delta': 126590464,
'eval_precision': 0.9499330655957162,
... |
imvladikon/wav2vec2-xls-r-300m-lm-hebrew | 7dd6f5d74dd646bc8c430ae6b8ffcb7e9a123a2b | 2022-02-10T15:55:48.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"he",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | imvladikon | null | imvladikon/wav2vec2-xls-r-300m-lm-hebrew | 10 | 1 | transformers | 11,658 | ---
license: apache-2.0
tags:
- generated_from_trainer
- he
- robust-speech-event
model-index:
- name: wav2vec2-xls-r-300m-lm-hebrew
results: []
---
# wav2vec2-xls-r-300m-lm-hebrew
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None d... |
it5/it5-base-informal-to-formal | aae8ef572b1c32604bbf2a7f6c713b76ef4faa56 | 2022-03-17T09:52:48.000Z | [
"pytorch",
"tf",
"jax",
"tensorboard",
"t5",
"text2text-generation",
"it",
"dataset:yahoo/xformal_it",
"arxiv:2203.03759",
"transformers",
"italian",
"sequence-to-sequence",
"style-transfer",
"formality-style-transfer",
"license:apache-2.0",
"model-index",
"co2_eq_emissions",
"auto... | text2text-generation | false | it5 | null | it5/it5-base-informal-to-formal | 10 | 1 | transformers | 11,659 | ---
language:
- it
license: apache-2.0
tags:
- italian
- sequence-to-sequence
- style-transfer
- formality-style-transfer
datasets:
- yahoo/xformal_it
widget:
- text: "maronn qualcuno mi spieg' CHECCOSA SUCCEDE?!?!"
- text: "wellaaaaaaa, ma fraté sei proprio troppo simpatiko, grazieeee!!"
- text: "nn capisco xke tt i r... |
it5/mt5-small-news-summarization | baae6727c038fa5e4d270c625f4c1860e7ec6b23 | 2022-03-09T07:52:27.000Z | [
"pytorch",
"tf",
"jax",
"tensorboard",
"mt5",
"text2text-generation",
"it",
"dataset:ARTeLab/fanpage",
"dataset:ARTeLab/ilpost",
"arxiv:2203.03759",
"transformers",
"italian",
"sequence-to-sequence",
"fanpage",
"ilpost",
"summarization",
"license:apache-2.0",
"model-index",
"co2_... | summarization | false | it5 | null | it5/mt5-small-news-summarization | 10 | null | transformers | 11,660 | ---
language:
- it
license: apache-2.0
datasets:
- ARTeLab/fanpage
- ARTeLab/ilpost
tags:
- italian
- sequence-to-sequence
- fanpage
- ilpost
- summarization
widget:
- text: "Non lo vuole sposare. E’ quanto emerge all’interno dell’ultima intervista di Raffaella Fico che, ringraziando Mancini per i buoni consigli elargi... |
jasper/DialoGPT-large-homersimpson | 1c82539a3e302d12553cd57bb9436ac5c3120534 | 2021-09-19T15:27:09.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | jasper | null | jasper/DialoGPT-large-homersimpson | 10 | null | transformers | 11,661 | ---
tags:
- conversational
---
# Homer Simpson DialoGPT Model |
jkgrad/spanbert-base-cased-coref | 1fda7dd0280ba575e97cca55fa4b2a55fecc0237 | 2021-05-19T20:49:46.000Z | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | jkgrad | null | jkgrad/spanbert-base-cased-coref | 10 | null | transformers | 11,662 | Entry not found |
jonatasgrosman/wav2vec2-xls-r-1b-italian | 8795c92847e1a16f3d804384552a8344e98169e8 | 2022-07-27T23:38:37.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"it",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_8_0",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/wav2vec2-xls-r-1b-italian | 10 | 1 | transformers | 11,663 | ---
language:
- it
license: apache-2.0
tags:
- automatic-speech-recognition
- hf-asr-leaderboard
- it
- mozilla-foundation/common_voice_8_0
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: XLS-R Wav2Vec2 Italian by Jonatas Grosman
results:
- task:
name: Automatic Spee... |
jonc/distilbert-base-uncased-finetuned-emotion | 1b06c449fc9600d5d4d12b8accb41c58e761b30b | 2022-02-04T06:15:55.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | jonc | null | jonc/distilbert-base-uncased-finetuned-emotion | 10 | null | transformers | 11,664 | ---
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... |
juliensimon/autonlp-song-lyrics-18753417 | 4a4a5b4d57841e14a73ee7e903fe569d58bb310f | 2021-10-15T10:31:12.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"dataset:juliensimon/autonlp-data-song-lyrics",
"transformers",
"autonlp",
"co2_eq_emissions"
] | text-classification | false | juliensimon | null | juliensimon/autonlp-song-lyrics-18753417 | 10 | null | transformers | 11,665 | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- juliensimon/autonlp-data-song-lyrics
co2_eq_emissions: 112.75546781635975
---
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 18753417
- CO2 Emissions (in grams): 112.75546781635975
## Validation Metri... |
k-partha/curiosity_bert_bio | 5d6394904ca31d456592dc7c262c0f9f987d4694 | 2022-01-29T03:35:48.000Z | [
"pytorch",
"bert",
"text-classification",
"arxiv:2109.06402",
"transformers"
] | text-classification | false | k-partha | null | k-partha/curiosity_bert_bio | 10 | null | transformers | 11,666 | Labels Twitter biographies on [Openness](https://en.wikipedia.org/wiki/Openness_to_experience), strongly related to intellectual curiosity.
Intuitive: Associated with higher intellectual curiosity
Sensing: Associated with lower intellectual curiosity
Go to your Twitter profile, copy your biography and paste in... |
k0t1k/test | 83e1440ab1c90f6f6c6f4706be208053b28a1e8d | 2021-08-19T17:31:25.000Z | [
"pytorch",
"bert",
"pretraining",
"ru",
"en",
"transformers",
"russian",
"fill-mask",
"embeddings",
"masked-lm",
"tiny",
"license:mit"
] | fill-mask | false | k0t1k | null | k0t1k/test | 10 | null | transformers | 11,667 | ---
language: ["ru", "en"]
tags:
- russian
- fill-mask
- pretraining
- embeddings
- masked-lm
- tiny
license: mit
widget:
- text: "Миниатюрная модель для [MASK] разных задач."
---
Копия модели https://huggingface.co/cointegrated/rubert-tiny. Чисто для теста!
|
khalidsaifullaah/bengali-lyricist-gpt2 | 69a77070080878dd19c26ae3b33048d237e10da9 | 2021-10-05T20:01:50.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"bn",
"transformers",
"text generation",
"bengali",
"bangla",
"causal-lm"
] | text-generation | false | khalidsaifullaah | null | khalidsaifullaah/bengali-lyricist-gpt2 | 10 | null | transformers | 11,668 | ---
language: bn
tags:
- text generation
- bengali
- gpt2
- bangla
- causal-lm
widget:
- text: "জীবনের মানে "
pipeline_tag: text-generation
---
<!--
---
tags:
- generated_from_trainer
datasets:
- null
model_index:
- name: bengali-lyricist-gpt2
results:
- task:
name: Causal Language Modeling
type: text... |
kizunasunhy/bert-base-cased-finetuned-ner | d4076fcc105543102e7245fff98f7360b9559e62 | 2021-10-15T09:56:44.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | kizunasunhy | null | kizunasunhy/bert-base-cased-finetuned-ner | 10 | null | transformers | 11,669 | Entry not found |
lewtun/distilbert-base-uncased-finetuned-emotion-test-01 | 05cda9301ab5a43b68a31740ced34b2ccbf62fe0 | 2022-01-14T10:29:26.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | lewtun | null | lewtun/distilbert-base-uncased-finetuned-emotion-test-01 | 10 | null | transformers | 11,670 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion-test-01
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args:... |
lfcc/bert-multilingual-pt-archive | a3fda178e053387d805cf4d68a27585928db68d6 | 2021-12-11T18:15:40.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | lfcc | null | lfcc/bert-multilingual-pt-archive | 10 | null | transformers | 11,671 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model_index:
- name: portuguese-archival-finding-aids
results:
- task:
name: Token Classification
type: token-classification
metric:
name: Accuracy
type: accuracy
value: 0.961777047... |
m3hrdadfi/xlmr-large-qa-sv | 963ab950f5bebcd5c170a16ddcabc2aaaa5dd66b | 2021-10-12T13:50:27.000Z | [
"pytorch",
"tf",
"xlm-roberta",
"question-answering",
"sv",
"multilingual",
"transformers",
"roberta",
"squad",
"model-index",
"autotrain_compatible"
] | question-answering | false | m3hrdadfi | null | m3hrdadfi/xlmr-large-qa-sv | 10 | null | transformers | 11,672 | ---
language:
- sv
- multilingual
tags:
- question-answering
- xlm-roberta
- roberta
- squad
metrics:
- squad_v2
widget:
- text: Vilket datum är den svenska nationaldagen?
context: >-
Sveriges nationaldag och svenska flaggans dag firas den 6 juni varje år
och är en helgdag i Sverige. Tid... |
macedonizer/sl-roberta-base | 142af085cc2bb03a6ee08517f00a44f7adff2c0c | 2021-09-22T08:58:54.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"sl",
"dataset:wiki-sl",
"transformers",
"masked-lm",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | macedonizer | null | macedonizer/sl-roberta-base | 10 | null | transformers | 11,673 | ---
language:
- sl
thumbnail: https://huggingface.co/macedonizer/sl-roberta-base/ivan-cankar.jpg
tags:
- masked-lm
license: apache-2.0
datasets:
- wiki-sl
---
# HR-RoBERTa base model
Pretrained model on Macedonian language using a masked language modeling (MLM) objective. It was introduced in this paper and first rele... |
malay-huggingface/t5-base-bahasa-cased | 7345d48a85891737e66ac6823a2f4b73474e66dd | 2021-09-05T13:10:03.000Z | [
"pytorch",
"t5",
"feature-extraction",
"ms",
"transformers"
] | feature-extraction | false | malay-huggingface | null | malay-huggingface/t5-base-bahasa-cased | 10 | null | transformers | 11,674 | ---
language: ms
---
# t5-base-bahasa-cased
Pretrained T5 base language model for Malay.
## Pretraining Corpus
`t5-base-bahasa-cased` model was pretrained on multiple tasks. Below is list of tasks we trained on,
1. Language masking task on bahasa news, bahasa Wikipedia, bahasa Academia.edu, bahasa parliament and ... |
manav/dialogpt-large-kanye-reddit | 6dce2b3d5602a9afaf24b95aadfa180488081bbc | 2021-05-23T08:48:22.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | manav | null | manav/dialogpt-large-kanye-reddit | 10 | null | transformers | 11,675 | ---
tags:
- conversational
---
## Model description
Finetuned version of DialogPT-large released. Finetuned on data scraped from the r/Kanye subreddit. The data wasn't thoroughly vetted so the model may display biases that I am unaware of, so tread with caution when using this model until further analysis of its bias... |
manueltonneau/bert-base-cased-conversational-nli | 4712a93cc741678782ca11236aa265de8f3d1b9e | 2021-05-19T22:58:04.000Z | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | manueltonneau | null | manueltonneau/bert-base-cased-conversational-nli | 10 | null | transformers | 11,676 | Entry not found |
marinone94/xls-r-300m-sv-robust | 5ab43debf1564cc38062eeaf5f07f731aff48bba | 2022-05-27T14:13:33.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"sv-SE",
"dataset:mozilla-foundation/common_voice_9_0",
"transformers",
"mozilla-foundation/common_voice_9_0",
"generated_from_trainer",
"sv",
"license:cc0-1.0",
"model-index"
] | automatic-speech-recognition | false | marinone94 | null | marinone94/xls-r-300m-sv-robust | 10 | 1 | transformers | 11,677 | ---
language:
- sv-SE
license: cc0-1.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_9_0
- generated_from_trainer
- sv
datasets:
- mozilla-foundation/common_voice_9_0
model-index:
- name: XLS-R-300M - Swedish
results:
- task:
name: Automatic Speech Recognition
type: automatic-... |
mbeukman/xlm-roberta-base-finetuned-amharic-finetuned-ner-swahili | e8e8e453d0342dae40f791938b1d0b1674969d7e | 2022-02-22T11:45:11.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"sw",
"dataset:masakhaner",
"arxiv:2103.11811",
"transformers",
"NER",
"autotrain_compatible"
] | token-classification | false | mbeukman | null | mbeukman/xlm-roberta-base-finetuned-amharic-finetuned-ner-swahili | 10 | null | transformers | 11,678 | ---
language:
- sw
tags:
- NER
- token-classification
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "Wizara ya afya ya Tanzania imeripoti Jumatatu kuwa , watu takriban 14 zaidi wamepata maambukizi ya Covid - 19 ."
---
# xlm-roberta-base-finetuned-amharic-finetuned-ner-swahili
This is a ... |
mbeukman/xlm-roberta-base-finetuned-luo-finetuned-ner-swahili | 734af6f01584441073a481b5efdde32314203894 | 2021-11-25T09:04:18.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"sw",
"dataset:masakhaner",
"arxiv:2103.11811",
"transformers",
"NER",
"autotrain_compatible"
] | token-classification | false | mbeukman | null | mbeukman/xlm-roberta-base-finetuned-luo-finetuned-ner-swahili | 10 | null | transformers | 11,679 | ---
language:
- sw
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "Wizara ya afya ya Tanzania imeripoti Jumatatu kuwa , watu takriban 14 zaidi wamepata maambukizi ya Covid - 19 ."
---
# xlm-roberta-base-finetuned-luo-finetuned-ner-swahili
This is a token classification (speci... |
mbeukman/xlm-roberta-base-finetuned-swahili-finetuned-ner-wolof | 2f70025e7e43ee5f07bd700b8c3dbc33bf351aa5 | 2021-11-25T09:05:05.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"wo",
"dataset:masakhaner",
"arxiv:2103.11811",
"transformers",
"NER",
"autotrain_compatible"
] | token-classification | false | mbeukman | null | mbeukman/xlm-roberta-base-finetuned-swahili-finetuned-ner-wolof | 10 | null | transformers | 11,680 | ---
language:
- wo
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "SAFIYETU BÉEY Céy Koronaa !"
---
# xlm-roberta-base-finetuned-swahili-finetuned-ner-wolof
This is a token classification (specifically NER) model that fine-tuned [xlm-roberta-base-finetuned-swahili](https://hu... |
mbeukman/xlm-roberta-base-finetuned-wolof-finetuned-ner-swahili | f3c28896655c140d3a7c86a13e927660e8290832 | 2021-11-25T09:05:10.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"sw",
"dataset:masakhaner",
"arxiv:2103.11811",
"transformers",
"NER",
"autotrain_compatible"
] | token-classification | false | mbeukman | null | mbeukman/xlm-roberta-base-finetuned-wolof-finetuned-ner-swahili | 10 | null | transformers | 11,681 | ---
language:
- sw
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "Wizara ya afya ya Tanzania imeripoti Jumatatu kuwa , watu takriban 14 zaidi wamepata maambukizi ya Covid - 19 ."
---
# xlm-roberta-base-finetuned-wolof-finetuned-ner-swahili
This is a token classification (spe... |
michalwilk123/distilbert-imdb-negative | 8e0e8e81f38d920b12e66fdee97f78d4e1378774 | 2021-05-25T12:53:19.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | michalwilk123 | null | michalwilk123/distilbert-imdb-negative | 10 | null | transformers | 11,682 | distilbert trained on negative imdb reviews |
ml6team/byt5-base-dutch-ocr-correction | c86f5654adddc7aed0d6b66d5dfac1aa2bddd921 | 2021-07-28T11:32:17.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | ml6team | null | ml6team/byt5-base-dutch-ocr-correction | 10 | 8 | transformers | 11,683 | # ByT5 Dutch OCR Correction
This model is a finetuned byT5 model that corrects OCR mistakes found in dutch sentences. The [google/byt5-base](https://huggingface.co/google/byt5-base) model is finetuned on the dutch section of the [OSCAR](https://huggingface.co/datasets/oscar) dataset.
## Usage
```python
from trans... |
mldmm/GlassBERTa | 8e979a50e25eba19f0694c6cf2fbc20b5de29f57 | 2021-06-18T16:24:23.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"alloys",
"metallurgy",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | mldmm | null | mldmm/GlassBERTa | 10 | null | transformers | 11,684 | ---
license: mit
tags :
- fill-mask
- alloys
- metallurgy
widget:
- text: "Li 7 1 , <mask> 6 1 8 , Na 8 2 , P 2 0 9 , Pb 2 0"
---
# GlassBERTa
## Language Modelling as Unsupervised Pre-Training for Glass Alloys
### Abstract:
Alloy Property Prediction is a task under the sub field of Alloy Material Science wherein Mach... |
mofawzy/bert-arsentd-lev | e85a60826310826ae005bd5314cf153d6ba93772 | 2022-02-18T20:57:04.000Z | [
"pytorch",
"bert",
"text-classification",
"ar",
"dataset:ArSentD-LEV",
"transformers",
"ArSentD-LEV"
] | text-classification | false | mofawzy | null | mofawzy/bert-arsentd-lev | 10 | null | transformers | 11,685 | ---
language:
- ar
datasets:
- ArSentD-LEV
tags:
- ArSentD-LEV
widget:
- text: "يهدي الله من يشاء"
- text: "الاسلوب قذر وقمامه"
---
# bert-arsentd-lev
Arabic version bert model fine tuned on ArSentD-LEV dataset
## Data
The model were fine-tuned on ~4000 sentence from twitter multiple dialect and five classes w... |
mohsenfayyaz/distilbert-fa-description-classifier | 97385b20915fc0faf7224d100c230dc6e3b0cd4d | 2021-06-11T18:58:50.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | mohsenfayyaz | null | mohsenfayyaz/distilbert-fa-description-classifier | 10 | null | transformers | 11,686 | Entry not found |
monologg/koelectra-base-bias | ad522394a2a50ef6f9972edda7c064466721a882 | 2021-01-07T14:13:10.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers"
] | text-classification | false | monologg | null | monologg/koelectra-base-bias | 10 | null | transformers | 11,687 | Entry not found |
monologg/koelectra-base-gender-bias | 41590feeddbd97f576763071bbbb42c53a3bb0e5 | 2021-01-07T14:10:56.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers"
] | text-classification | false | monologg | null | monologg/koelectra-base-gender-bias | 10 | null | transformers | 11,688 | Entry not found |
monologg/koelectra-base-v3-gender-bias | 82740c59c74355d844ff9017271f2e0a608ff3da | 2021-01-07T11:22:16.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers"
] | text-classification | false | monologg | null | monologg/koelectra-base-v3-gender-bias | 10 | 1 | transformers | 11,689 | Entry not found |
mrm8488/deberta-v3-small-finetuned-squadv2 | 4987898d570c63d7837950a44cbc7fc026113eb6 | 2021-11-22T13:23:34.000Z | [
"pytorch",
"deberta-v2",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | mrm8488 | null | mrm8488/deberta-v3-small-finetuned-squadv2 | 10 | null | transformers | 11,690 | Entry not found |
mrm8488/electricidad-small-finetuned-medical-diagnostics | 9f131b55e8926bc255e62a9b992e6ea7b2fce258 | 2021-10-04T17:02:05.000Z | [
"pytorch",
"tensorboard",
"electra",
"text-classification",
"transformers"
] | text-classification | false | mrm8488 | null | mrm8488/electricidad-small-finetuned-medical-diagnostics | 10 | 1 | transformers | 11,691 | ---
lang: 'es'
widget:
- text: "TUMOR DE COMPORTAMIENTO INCIERTO O DESCONOCIDO DEL HNGADO, DE LA VESNCULA BILIAR Y DEL CONDUCTO BILIAR - DiagnNstico Principal - Z01.8 OTROS EXNMENES ESPECIALES ESPECIFICADOS"
---
# Electricidad (small) fine-tuned medical diagnostics |
mrm8488/t5-base-finetuned-math-calculus-differentiate | 4ad6bd61b4b3108267fda72033f939e5118a7dd4 | 2020-08-24T20:58:10.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | mrm8488 | null | mrm8488/t5-base-finetuned-math-calculus-differentiate | 10 | 1 | transformers | 11,692 | Entry not found |
mrm8488/t5-base-finetuned-math-qa-test | e7ae631deccde2134993567fb92e79d2bcf7367e | 2020-06-01T09:17:23.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | mrm8488 | null | mrm8488/t5-base-finetuned-math-qa-test | 10 | 1 | transformers | 11,693 | Entry not found |
mrp/simcse-model-roberta-base-thai | 0dee901966efd0213a50fa7d454a5aefc326ddbd | 2021-10-05T05:51:08.000Z | [
"pytorch",
"xlm-roberta",
"feature-extraction",
"arxiv:2104.08821",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | mrp | null | mrp/simcse-model-roberta-base-thai | 10 | null | sentence-transformers | 11,694 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {mrp/simcse-model-roberta-base-thai}
This is a [sentence-transformers](https://www.SBERT.net) by using XLM-R as the baseline model model: It maps sentences & paragraphs to a 768 dimensio... |
muhtasham/TajBERTo | 1e80842af2b766619d5e1e02ede833614773ed61 | 2021-10-06T11:26:03.000Z | [
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"tg",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | fill-mask | false | muhtasham | null | muhtasham/TajBERTo | 10 | 2 | transformers | 11,695 | ---
language:
- tg
widget:
- text: "Пойтахти <mask> Душанбе"
- text: "<mask> ба ин сайти шумо медароям."
- text: "Номи ман Акрам <mask>"
tags:
- generated_from_trainer
model_index:
- name: TajBERTo
results:
- task:
name: Masked Language Modeling
type: fill-mask
---
# TajBERTo: RoBERTa-like Language... |
mustafabaris/tr_kg_pos_conllu_bert | add70929d3cdcb358a91a720505f4d948613381f | 2021-05-20T01:07:02.000Z | [
"pytorch",
"jax",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | mustafabaris | null | mustafabaris/tr_kg_pos_conllu_bert | 10 | null | transformers | 11,696 | Entry not found |
napsternxg/scibert_scivocab_uncased_SDU21_AI | e8ba8c3b5d8835dbd8b035ebd272c414e014361b | 2021-05-20T01:09:06.000Z | [
"pytorch",
"jax",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | napsternxg | null | napsternxg/scibert_scivocab_uncased_SDU21_AI | 10 | null | transformers | 11,697 | scibert_scivocab_uncased submission for SDU21 Task 1 AI
|
nateraw/my-cool-timm-model-2 | f806eaac6e3c1a3987ec0429a361826501745c3b | 2021-11-15T20:06:24.000Z | [
"pytorch",
"tensorboard",
"dataset:cats_vs_dogs",
"timm",
"image-classification",
"generated_from_trainer"
] | image-classification | false | nateraw | null | nateraw/my-cool-timm-model-2 | 10 | null | timm | 11,698 | ---
tags:
- image-classification
- timm
- generated_from_trainer
library_tag: timm
datasets:
- cats_vs_dogs
---
<!-- 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. -->
# my-cool-timm-mode... |
ncats/EpiExtract4GARD-v1 | 1c3615d80e005b16b828975a6d1c2b42eb83eafe | 2022-01-31T17:03:33.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | ncats | null | ncats/EpiExtract4GARD-v1 | 10 | 1 | transformers | 11,699 | ## Model description
**EpiExtract4GARD** is a fine-tuned [BioBERT-base-cased](https://huggingface.co/dmis-lab/biobert-base-cased-v1.1) model that is ready to use for **Named Entity Recognition** of locations (LOC), epidemiologic types (EPI), and epidemiologic rates (STAT). This model was fine-tuned on [EpiSet4NER](http... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.