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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
daveni/aesthetic_attribute_classifier | f0e40ce6ccbfd31e1dd3e4ac2bbcc0d6bb2e86a7 | 2022-04-12T14:11:34.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | daveni | null | daveni/aesthetic_attribute_classifier | 20 | null | transformers | 8,400 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: aesthetic_attribute_classifier
results: []
widget:
- text: Check your vertical on the main support; it looks a little off. I'd also like to see how it looks with a bit of the sky cropped from the ... |
Intel/electra-small-discriminator-mrpc | 2e5e4c9ba48e5e6ea6a1ff8e62c8ce6092c20a87 | 2022-04-21T14:33:49.000Z | [
"pytorch",
"electra",
"text-classification",
"en",
"dataset:glue",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Intel | null | Intel/electra-small-discriminator-mrpc | 20 | null | transformers | 8,401 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: electra-small-discriminator-mrpc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MRPC
type: glue
args: mrpc
... |
emilylearning/finetuned_cgp_added_birth_date__female_weight_1.5__test_run_False__p_dataset_100 | 2d0ca5e706ad907c97899755c4a3ce65cbf5de35 | 2022-04-21T19:20:29.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | emilylearning | null | emilylearning/finetuned_cgp_added_birth_date__female_weight_1.5__test_run_False__p_dataset_100 | 20 | null | transformers | 8,402 | Entry not found |
emilylearning/finetuned_cgp_added_none__female_weight_1.5__test_run_False__p_dataset_100 | c3f2f6ca2d33c53069cf8ffa03a2ca4f48be49d7 | 2022-04-21T22:08:18.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | emilylearning | null | emilylearning/finetuned_cgp_added_none__female_weight_1.5__test_run_False__p_dataset_100 | 20 | null | transformers | 8,403 | Entry not found |
emilylearning/finetuned_cgp_added_name__female_weight_1.5__test_run_False__p_dataset_100 | 4894ac0aba21d5fe469ed8749d00f97ebb8958b0 | 2022-04-22T02:55:03.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | emilylearning | null | emilylearning/finetuned_cgp_added_name__female_weight_1.5__test_run_False__p_dataset_100 | 20 | null | transformers | 8,404 | Entry not found |
tosin/dialogpt_mwoz_idioms | 55ead19d76a937ed3e7e86dbc1861c4a886b5f32 | 2022-04-24T16:32:08.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"dataset:multi_woz_v22 and PIE-English idioms corpus",
"transformers",
"conversational",
"license:cc-by-4.0"
] | conversational | false | tosin | null | tosin/dialogpt_mwoz_idioms | 20 | null | transformers | 8,405 | ---
thumbnail: https://huggingface.co/front/thumbnails/dialogpt.png
language:
- en
license: cc-by-4.0
tags:
- conversational
- transformers
datasets:
- multi_woz_v22 and PIE-English idioms corpus
metrics:
- perplexity
widget:
- text: "Does that mean Jane is off the hook?"
---
## DialoGPT_MWOZ_Idioms
This is a fine-tu... |
emilylearning/finetuned_cgp_add_none__f_weight_5__p_dataset_100__test_False | 4c028521670a182381d36a3413775b734afd0ab1 | 2022-04-25T00:06:55.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | emilylearning | null | emilylearning/finetuned_cgp_add_none__f_weight_5__p_dataset_100__test_False | 20 | null | transformers | 8,406 | Entry not found |
emilylearning/finetuned_cgp_add_name__f_weight_5__p_dataset_100__test_False | 25a393447c1ba0a97e2debd0823d452264b945d4 | 2022-04-25T00:07:02.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | emilylearning | null | emilylearning/finetuned_cgp_add_name__f_weight_5__p_dataset_100__test_False | 20 | null | transformers | 8,407 | Entry not found |
AbhiNaiky/finetuning-sentiment-model-3000-samples | bc46d902f1dec3454375a24bd30688bf87adcf24 | 2022-04-28T22:34:39.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | AbhiNaiky | null | AbhiNaiky/finetuning-sentiment-model-3000-samples | 20 | null | transformers | 8,408 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
met... |
BigSalmon/CoverLetter | 2d8e4a1700d5ceec351656112200afafa52a7e09 | 2022-04-30T01:42:48.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | BigSalmon | null | BigSalmon/CoverLetter | 20 | null | transformers | 8,409 | how to do initial prompt:
captivated by [Enter Company Name]'s
also trained on: https://huggingface.co/BigSalmon/InformalToFormalLincoln40 (so you can use those prompt outlines, too) |
h4d35/Translator | 83862843027e6a4249bf7c07e75ef1e6fb47dd9f | 2022-05-01T19:35:32.000Z | [
"pytorch",
"m2m_100",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | h4d35 | null | h4d35/Translator | 20 | null | transformers | 8,410 | Entry not found |
SebastianS/bert-finetuned-ner | 650f0ce0b40cfc7cecf60289a563293724c97db6 | 2022-05-01T21:38:30.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | SebastianS | null | SebastianS/bert-finetuned-ner | 20 | null | transformers | 8,411 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- accuracy
model-index:
- name: bert-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args: conll2003
metrics:
... |
anshr/distilgpt2_reward_model_final | d32c60ac1c319a507174d1121b961a929d0fb6c9 | 2022-05-02T22:15:34.000Z | [
"pytorch",
"gpt2",
"text-classification",
"transformers"
] | text-classification | false | anshr | null | anshr/distilgpt2_reward_model_final | 20 | null | transformers | 8,412 | Entry not found |
HiTZ/A2T_RoBERTa_SMFA_ACE-arg_WikiEvents-arg | ef1f48f956c26165e1b16baf2c8cf431dff8be34 | 2022-05-08T23:09:26.000Z | [
"pytorch",
"roberta",
"text-classification",
"dataset:snli",
"dataset:anli",
"dataset:multi_nli",
"dataset:multi_nli_mismatch",
"dataset:fever",
"arxiv:2104.14690",
"arxiv:2203.13602",
"transformers",
"zero-shot-classification"
] | zero-shot-classification | false | HiTZ | null | HiTZ/A2T_RoBERTa_SMFA_ACE-arg_WikiEvents-arg | 20 | null | transformers | 8,413 | ---
pipeline_tag: zero-shot-classification
datasets:
- snli
- anli
- multi_nli
- multi_nli_mismatch
- fever
---
# A2T Entailment model
**Important:** These pretrained entailment models are intended to be used with the [Ask2Transformers](https://github.com/osainz59/Ask2Transformers) library but are also fully compatib... |
sileod/roberta-base-discourse-marker-prediction | 43ddf97b2f12eb3299cf1276b5e349b1e37099a0 | 2022-05-11T13:06:29.000Z | [
"pytorch",
"roberta",
"text-classification",
"en",
"dataset:discovery",
"transformers",
"discourse-marker-prediction",
"discourse-connective-prediction",
"discourse-connective",
"discourse-marker",
"discourse-relation-prediction",
"pragmatics",
"discourse",
"license:apache-2.0"
] | text-classification | false | sileod | null | sileod/roberta-base-discourse-marker-prediction | 20 | 2 | transformers | 8,414 | ---
language:
- en
tags:
- discourse-marker-prediction
- discourse-connective-prediction
- discourse-connective
- discourse-marker
- discourse-relation-prediction
- pragmatics
- discourse
license: apache-2.0
datasets:
- discovery
metrics:
- accuracy
widget:
- text: "But no, Amazon selling 3D printers is not new.</s></s... |
UGARIT/grc-alignment | 7ecf8d2f809582a404565c68b2f7f5c7ad4307c4 | 2022-07-07T08:53:38.000Z | [
"pytorch",
"xlm-roberta",
"fill-mask",
"transformers",
"license:cc-by-4.0",
"autotrain_compatible"
] | fill-mask | false | UGARIT | null | UGARIT/grc-alignment | 20 | null | transformers | 8,415 | ---
license: cc-by-4.0
---
# Automatic Translation Alignment of Ancient Greek Texts
GRC-ALIGNMENT model is an XLM-RoBERTa-based model, fine-tuned for automatic multilingual text alignment at the word level.
The model is trained on 12 million monolingual ancient Greek tokens with Masked Language Model (MLM) training ob... |
LiYuan/Amazon-Cup-Cross-Encoder-Regression | 68bac3a580ee111489090067d060eefd8f81475b | 2022-05-08T17:45:01.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers",
"license:afl-3.0"
] | text-classification | false | LiYuan | null | LiYuan/Amazon-Cup-Cross-Encoder-Regression | 20 | null | transformers | 8,416 | ---
license: afl-3.0
---
This model is actually very accurate for this rerank products given one query, intuitively inspired by information retrieval techniques. In 2019, Nils Reimers and Iryna Gurevych introduced a new transformers model called Sentence-BERT, Sentence Embeddings using Siamese BERT-Networks. The model... |
nirajsaran/AdTextGenerator | 3fbf8f98d7716470d5e0c453514370350add20e1 | 2022-05-16T21:45:00.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"license:mit"
] | text-generation | false | nirajsaran | null | nirajsaran/AdTextGenerator | 20 | 1 | transformers | 8,417 | ---
license: mit
inference:
parameters:
temperature: 0.7
use_cache: false
max_length: 200
top_k: 5
top_p: 0.9
widget:
- text: "Sony TV"
example_title: "Amazon Ad text Electronics"
- text: "Apple Watch"
example_title: "Amazon Ad text Wearables"
- text: "Last minute shopping for Samsung he... |
SreyanG-NVIDIA/bert-base-cased-finetuned-ner | 0ef1c11debe8c6c4821f67e6b0854872dd7e9685 | 2022-05-10T10:05:34.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | SreyanG-NVIDIA | null | SreyanG-NVIDIA/bert-base-cased-finetuned-ner | 20 | null | transformers | 8,418 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-base-cased-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
... |
BK-V/xlm-roberta-base-finetuned-peyma-fa | fd069b61fcae27bff58bf7230573a6d2aaf6331c | 2022-06-29T20:59:53.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | BK-V | null | BK-V/xlm-roberta-base-finetuned-peyma-fa | 20 | null | transformers | 8,419 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-peyma-fa
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.... |
CEBaB/roberta-base.CEBaB.sa.2-class.exclusive.seed_42 | 3e9e0a1ae012c0e41c07232482391768dfcfb4fe | 2022-05-10T23:26:16.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | CEBaB | null | CEBaB/roberta-base.CEBaB.sa.2-class.exclusive.seed_42 | 20 | null | transformers | 8,420 | Entry not found |
binay1999/bert-for-text-classification | cc658f46eba2e97c74fee52e7e2c6d9248934b3f | 2022-05-12T04:26:24.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | binay1999 | null | binay1999/bert-for-text-classification | 20 | null | transformers | 8,421 | Entry not found |
Armor/EmergencyNews_BERT_Base | 9322ddeba8ce4b97353ef546dd860c0cbb93e61a | 2022-05-18T10:45:30.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Armor | null | Armor/EmergencyNews_BERT_Base | 20 | null | transformers | 8,422 | ---
license: apache-2.0
---
|
fabianmmueller/deep-haiku-gpt-2 | 7f7b35790f6bfca9051ca716920199fb09c1f42c | 2022-05-24T20:42:56.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-generation | false | fabianmmueller | null | fabianmmueller/deep-haiku-gpt-2 | 20 | 0 | transformers | 8,423 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: deep-haiku-gpt-2
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. -->
# deep-haiku-gpt-2
This mo... |
cradle-bio/tape-fluorescence-prediction-tape-fluorescence-evotuning-DistilProtBert | a19823ec86e6afb7a51cb29a469b8fa792153ea8 | 2022-05-30T16:24:59.000Z | [
"pytorch",
"bert",
"text-classification",
"dataset:train",
"transformers",
"protein language model",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | cradle-bio | null | cradle-bio/tape-fluorescence-prediction-tape-fluorescence-evotuning-DistilProtBert | 20 | null | transformers | 8,424 | ---
license: apache-2.0
tags:
- protein language model
- generated_from_trainer
datasets:
- train
metrics:
- spearmanr
model-index:
- name: tape-fluorescence-prediction-tape-fluorescence-evotuning-DistilProtBert
results:
- task:
name: Text Classification
type: text-classification
dataset:
name... |
facebook/mcontriever | c9ea3fd6b5c96290b4741884525afdb40cfa9932 | 2022-05-29T08:58:37.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | facebook | null | facebook/mcontriever | 20 | 1 | transformers | 8,425 | Entry not found |
huggingtweets/billieeilish-nakedbibii-unjaded_jade | 1fd577347339be0e1c39b324796c436929da246e | 2022-05-30T21:39:04.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/billieeilish-nakedbibii-unjaded_jade | 20 | null | transformers | 8,426 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4... |
jakka/segformer-b0-finetuned-warehouse-part-1-V2 | 8b39725d4360abb046f96bf618ad19a8dbcb6209 | 2022-05-31T23:31:49.000Z | [
"pytorch",
"segformer",
"transformers",
"vision",
"image-segmentation",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-segmentation | false | jakka | null | jakka/segformer-b0-finetuned-warehouse-part-1-V2 | 20 | null | transformers | 8,427 | ---
license: apache-2.0
tags:
- vision
- image-segmentation
- generated_from_trainer
model-index:
- name: segformer-b0-finetuned-warehouse-part-1-V2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete... |
AlexanderPeter/bert-finetuned-ner | c2048fe36cc7093997e70daef7478f7667562259 | 2022-06-01T19:56:43.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | AlexanderPeter | null | AlexanderPeter/bert-finetuned-ner | 20 | null | transformers | 8,428 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
model-index:
- name: bert-finetuned-ner
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. -... |
ArthurZ/opt-13b | aabe4145fcf3def800c1e2f7b150d7b34a93ef2e | 2022-06-21T16:28:07.000Z | [
"pytorch",
"opt",
"text-generation",
"transformers"
] | text-generation | false | ArthurZ | null | ArthurZ/opt-13b | 20 | null | transformers | 8,429 | Entry not found |
wvangils/GPT2-Beatles-Lyrics-finetuned-newlyrics | 41e357049d36f29e8d3ed2d68cbe3d8840271d60 | 2022-06-17T11:21:36.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-generation | false | wvangils | null | wvangils/GPT2-Beatles-Lyrics-finetuned-newlyrics | 20 | null | transformers | 8,430 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: GPT2-Beatles-Lyrics-finetuned-newlyrics
results: []
---
# GPT2-Beatles-Lyrics-finetuned-newlyrics
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the [Cmotions - Beatles lyrics](https://huggingface.co/datasets/cmotions... |
mgfrantz/distilgpt2-finetuned-reddit-tifu | 73146d5c8c3195e2233491468ac3f683d3e7c78b | 2022-06-05T21:14:26.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"en",
"dataset:reddit_tifu (subset: short)",
"transformers",
"license:mit"
] | text-generation | false | mgfrantz | null | mgfrantz/distilgpt2-finetuned-reddit-tifu | 20 | null | transformers | 8,431 | ---
language:
- "en"
thumbnail: "https://styles.redditmedia.com/t5_2to41/styles/communityIcon_qedoavxzocr61.png?width=256&s=9c7c19b81474c3788279b8d6d6823e791d0524fc"
datasets:
- "reddit_tifu (subset: short)"
widget:
- text: "I told my friend"
license: mit
---
# mgfrantz/distilgpt2-finetuned-reddit-tifu
This mode... |
intogen/legal-bert-qa | 4f56b385f34937568fcb57dd8c64e0e694141972 | 2022-06-08T19:49:11.000Z | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"dataset:squad_v2",
"transformers",
"generated_from_trainer",
"license:cc-by-sa-4.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | intogen | null | intogen/legal-bert-qa | 20 | null | transformers | 8,432 | ---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: legal-bert-qa
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. -->
... |
ehcalabres/distilgpt2-abc-irish-music-generation | 5a2a65102a661acde5a44dc6fccf88e55fdf1105 | 2022-06-08T12:10:23.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | ehcalabres | null | ehcalabres/distilgpt2-abc-irish-music-generation | 20 | null | transformers | 8,433 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-abc-irish-music-generation
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. -->
... |
ajtamayoh/NLP-CIC-WFU_Clinical_Cases_NER_mBERT_cased_fine_tuned | 87708927023840cd185a8eebc63f33e86fa4b4c0 | 2022-06-08T17:00:47.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | ajtamayoh | null | ajtamayoh/NLP-CIC-WFU_Clinical_Cases_NER_mBERT_cased_fine_tuned | 20 | null | transformers | 8,434 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: NLP-CIC-WFU_Clinical_Cases_NER_mBERT_cased_fine_tuned
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should prob... |
G-WOO/model_150mil-CodeBERTa-small-v1 | 8a760eefef9204c948b8d042c0b8e9c5063ee3d2 | 2022-06-09T03:25:00.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | G-WOO | null | G-WOO/model_150mil-CodeBERTa-small-v1 | 20 | null | transformers | 8,435 | Entry not found |
ahmeddbahaa/t5-arabic-base-finetuned-xlsum-ar | 89bd21d56d67fbe3e2b8c47d8c279f743695b43c | 2022-06-11T19:13:08.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:xlsum",
"transformers",
"summarization",
"ar",
"abstractive summarization",
"xlsum",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | ahmeddbahaa | null | ahmeddbahaa/t5-arabic-base-finetuned-xlsum-ar | 20 | null | transformers | 8,436 | ---
license: apache-2.0
tags:
- summarization
- t5
- ar
- abstractive summarization
- xlsum
- generated_from_trainer
datasets:
- xlsum
model-index:
- name: t5-arabic-base-finetuned-xlsum-ar
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. Y... |
enoriega/rule_learning_margin_1mm_spanpred | cf121f335471aaf3015e0a722850b7b6b87e4843 | 2022-06-15T00:55:38.000Z | [
"pytorch",
"tensorboard",
"bert",
"dataset:enoriega/odinsynth_dataset",
"transformers",
"generated_from_trainer",
"model-index"
] | null | false | enoriega | null | enoriega/rule_learning_margin_1mm_spanpred | 20 | null | transformers | 8,437 | ---
tags:
- generated_from_trainer
datasets:
- enoriega/odinsynth_dataset
model-index:
- name: rule_learning_margin_1mm_spanpred
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 thi... |
QCRI/bert-base-cased-pos | be4f4e2ad204c84d793fc236381c7a15021ce26c | 2022-06-13T05:50:38.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"license:cc-by-nc-4.0",
"autotrain_compatible"
] | token-classification | false | QCRI | null | QCRI/bert-base-cased-pos | 20 | null | transformers | 8,438 | ---
license: cc-by-nc-4.0
---
|
ml6team/keyphrase-extraction-kbir-semeval2017 | 764f17880ce95ebbe7edbb624d5ef0c0cbae38c5 | 2022-06-16T18:29:41.000Z | [
"pytorch",
"roberta",
"token-classification",
"en",
"dataset:midas/semeval2017",
"arxiv:2112.08547",
"arxiv:1704.02853",
"transformers",
"keyphrase-extraction",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | ml6team | null | ml6team/keyphrase-extraction-kbir-semeval2017 | 20 | null | transformers | 8,439 | ---
language: en
license: mit
tags:
- keyphrase-extraction
datasets:
- midas/semeval2017
metrics:
- seqeval
widget:
- text: "Keyphrase extraction is a technique in text analysis where you extract the important keyphrases from a document.
Thanks to these keyphrases humans can understand the content of a text very quic... |
Shikenrua/distilbert-base-uncased-finetuned-emotion | b102f0080eafc39dc89f3632b6fb5b37222c6ae9 | 2022-06-29T04:46:53.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Shikenrua | null | Shikenrua/distilbert-base-uncased-finetuned-emotion | 20 | null | transformers | 8,440 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then r... |
RayMelius/bert-finetuned-ner | c3b99a3542b68aeae1c5403128748d25fb7c28d7 | 2022-06-17T16:06:51.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | RayMelius | null | RayMelius/bert-finetuned-ner | 20 | null | transformers | 8,441 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
model-index:
- name: bert-finetuned-ner
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. -... |
KoichiYasuoka/deberta-base-japanese-unidic-ud-head | 3169ed622fe3b4d0e89b4969c9048e02c0154b9a | 2022-07-20T03:51:55.000Z | [
"pytorch",
"deberta-v2",
"question-answering",
"ja",
"dataset:universal_dependencies",
"transformers",
"japanese",
"dependency-parsing",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | question-answering | false | KoichiYasuoka | null | KoichiYasuoka/deberta-base-japanese-unidic-ud-head | 20 | null | transformers | 8,442 | ---
language:
- "ja"
tags:
- "japanese"
- "question-answering"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "cc-by-sa-4.0"
pipeline_tag: "question-answering"
widget:
- text: "国語"
context: "全学年にわたって小学校の国語の教科書に挿し絵が用いられている"
- text: "教科書"
context: "全学年にわたって小学校の国語の教科書に挿し絵が用いられている"
- text: "の"
c... |
AlekseyKorshuk/results-gpt-j-lit-erotic | 2e668432c90f9da811b6107777860b6e10d7d5eb | 2022-06-18T13:09:31.000Z | [
"pytorch",
"gptj",
"text-generation",
"transformers"
] | text-generation | false | AlekseyKorshuk | null | AlekseyKorshuk/results-gpt-j-lit-erotic | 20 | null | transformers | 8,443 | Entry not found |
Chemsseddine/bert2gpt2SUMM-finetuned-mlsum-finetuned-mlorange_sum | 8b2ad42c31f5ae023dac3d304dcc92b7bc7eb857 | 2022-06-30T18:42:50.000Z | [
"pytorch",
"tensorboard",
"encoder-decoder",
"text2text-generation",
"dataset:orange_sum",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | Chemsseddine | null | Chemsseddine/bert2gpt2SUMM-finetuned-mlsum-finetuned-mlorange_sum | 20 | null | transformers | 8,444 | ---
tags:
- generated_from_trainer
datasets:
- orange_sum
metrics:
- rouge
model-index:
- name: bert2gpt2SUMM-finetuned-mlsum-finetuned-mlorange_sum
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: orange_sum
type: orange_sum
a... |
KoichiYasuoka/roberta-large-japanese-aozora-ud-head | e716b16b458b5e9d604ee940bab030fbb8248fa1 | 2022-07-20T03:52:24.000Z | [
"pytorch",
"roberta",
"question-answering",
"ja",
"dataset:universal_dependencies",
"transformers",
"japanese",
"dependency-parsing",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | question-answering | false | KoichiYasuoka | null | KoichiYasuoka/roberta-large-japanese-aozora-ud-head | 20 | null | transformers | 8,445 | ---
language:
- "ja"
tags:
- "japanese"
- "question-answering"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "cc-by-sa-4.0"
pipeline_tag: "question-answering"
widget:
- text: "国語"
context: "全学年にわたって小学校の国語の教科書に挿し絵が用いられている"
- text: "教科書"
context: "全学年にわたって小学校の国語の教科書に挿し絵が用いられている"
- text: "の"
c... |
romainlhardy/roberta-large-finetuned-ner | 131ae59ac84058dabcaa3dbe2b4b4ccde28315d6 | 2022-06-26T09:20:58.000Z | [
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | romainlhardy | null | romainlhardy/roberta-large-finetuned-ner | 20 | null | transformers | 8,446 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: roberta-large-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args:... |
jacquelinehe/anonymized-model | 12d2159f1ce59fabca83b7721670c721c96c45c1 | 2022-06-27T05:58:27.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | jacquelinehe | null | jacquelinehe/anonymized-model | 20 | null | transformers | 8,447 | ---
license: apache-2.0
---
|
Rahulrr/language_model_en_de | a5d0d22f266e314bc737a94d496d8281a9045a34 | 2022-06-27T10:42:46.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"de",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Rahulrr | null | Rahulrr/language_model_en_de | 20 | null | transformers | 8,448 | ---
language:
- en
- de
tags:
- translation
license: apache-2.0
---
### en-de
* source group: English
* target group: German
* OPUS readme: [eng-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-deu/README.md)
* model: transformer-big
* source language(s): eng
* target language(s): d... |
barthfab/drugprot | 25f9807992a611b6602a27aee4df4338cf16cb53 | 2022-07-19T14:11:06.000Z | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | barthfab | null | barthfab/drugprot | 20 | null | transformers | 8,449 | Entry not found |
zunicd/finetuning-sentiment-model-3000-samples | 27080e6c6c19f8b79e97452788b6cace0452e421 | 2022-06-28T18:12:43.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | zunicd | null | zunicd/finetuning-sentiment-model-3000-samples | 20 | null | transformers | 8,450 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
met... |
Neha2608/distilbert-base-uncased-finetuned-emotion | 5b459baf80167c2b604506be270ae357ef779ba8 | 2022-07-30T09:43:41.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Neha2608 | null | Neha2608/distilbert-base-uncased-finetuned-emotion | 20 | null | transformers | 8,451 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metric... |
FabianWillner/bert-base-uncased-finetuned-squad | 8328dcbb5aad945ad4fc0557dc83169e94e11ec1 | 2022-06-29T14:46:28.000Z | [
"pytorch",
"tensorboard",
"bert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | FabianWillner | null | FabianWillner/bert-base-uncased-finetuned-squad | 20 | null | transformers | 8,452 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: bert-base-uncased-finetuned-squad
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... |
TheDiamondKing/Discord-Message-Small | f62af9cbf3df78e4873272eb27ccb45e149bd98b | 2022-06-29T21:06:10.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | TheDiamondKing | null | TheDiamondKing/Discord-Message-Small | 20 | null | transformers | 8,453 | ---
license: mit
---
Simple model trained with 2790 Discord messages
( Might have some NSFW responses )
|
clevrly/distilbert-base-uncased-finetuned-hotpot_qa | 25947b9cc5b2ac6ffc8eec4313283e9c7852c4eb | 2022-06-30T18:12:02.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | clevrly | null | clevrly/distilbert-base-uncased-finetuned-hotpot_qa | 20 | null | transformers | 8,454 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-hotpot_qa
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... |
ubikpt/t5-small-finetuned-cnn-v2 | a0be88a1dd4cb4e76ae49337445f0c08e8a51493 | 2022-07-01T03:15:22.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:cnn_dailymail",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | ubikpt | null | ubikpt/t5-small-finetuned-cnn-v2 | 20 | null | transformers | 8,455 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- cnn_dailymail
metrics:
- rouge
model-index:
- name: t5-small-finetuned-cnn-v2
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: cnn_dailymail
type: cnn... |
sudo-s/new_exper3 | 1e38cb4be2501c0c085866362bc5104ab0cc8efa | 2022-06-30T21:19:12.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | image-classification | false | sudo-s | null | sudo-s/new_exper3 | 20 | null | transformers | 8,456 | ---
license: apache-2.0
tags:
- image-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: new_exper3
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 th... |
Tritkoman/EN-ROM | 7afd0b47a0d6951f6888edaa5cb0d9e2ef3d7c14 | 2022-07-01T06:07:37.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"en",
"hi",
"dataset:Tritkoman/autotrain-data-rusynpann",
"transformers",
"autotrain",
"translation",
"co2_eq_emissions",
"autotrain_compatible"
] | translation | false | Tritkoman | null | Tritkoman/EN-ROM | 20 | null | transformers | 8,457 | ---
tags:
- autotrain
- translation
language:
- en
- hi
datasets:
- Tritkoman/autotrain-data-rusynpann
co2_eq_emissions: 30.068537136776726
---
# Model Trained Using AutoTrain
- Problem type: Translation
- Model ID: 1066237031
- CO2 Emissions (in grams): 30.068537136776726
## Validation Metrics
- Loss: 2.4613270759... |
yuningm/bart-large-citesum-title | c9290ab76e7fcfbd2a87a1ac6faaddcfc25ae4fd | 2022-07-08T20:53:19.000Z | [
"pytorch",
"bart",
"text2text-generation",
"en",
"dataset:yuningm/citesum",
"arxiv:2205.06207",
"transformers",
"summarization",
"license:cc-by-nc-4.0",
"autotrain_compatible"
] | summarization | false | yuningm | null | yuningm/bart-large-citesum-title | 20 | 1 | transformers | 8,458 | ---
license: cc-by-nc-4.0
language: en
tags:
- summarization
datasets:
- yuningm/citesum
widget:
- text: "Abstract-This paper presents a control strategy that allows a group of mobile robots to position themselves to optimize the measurement of sensory information in the environment. The robots use sensed information t... |
akhisreelibra/bert-finetuned-ner | 14a89897eb522db5f76b5f02685ace27687b3052 | 2022-07-05T13:10:05.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | akhisreelibra | null | akhisreelibra/bert-finetuned-ner | 20 | null | transformers | 8,459 | |
KoichiYasuoka/deberta-large-japanese-wikipedia | ddda036dd277f3e2cdbf8ee888761d83ed28694a | 2022-07-23T14:44:05.000Z | [
"pytorch",
"deberta-v2",
"fill-mask",
"ja",
"transformers",
"japanese",
"masked-lm",
"wikipedia",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | fill-mask | false | KoichiYasuoka | null | KoichiYasuoka/deberta-large-japanese-wikipedia | 20 | null | transformers | 8,460 | ---
language:
- "ja"
tags:
- "japanese"
- "masked-lm"
- "wikipedia"
license: "cc-by-sa-4.0"
pipeline_tag: "fill-mask"
mask_token: "[MASK]"
widget:
- text: "日本に着いたら[MASK]を訪ねなさい。"
---
# deberta-large-japanese-wikipedia
## Model Description
This is a DeBERTa(V2) model pre-trained on Japanese Wikipedia and 青空文庫 texts. Y... |
samroni/puisi_model_gpt2_small | 9ba9155f8b5978d8574d2e85cd584f4b081c2a8a | 2022-07-26T16:42:44.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | samroni | null | samroni/puisi_model_gpt2_small | 20 | null | transformers | 8,461 | Entry not found |
saadob12/t5_C2T_autochart | 3cd8aec43f3287c21164bccc9fafb71682e154b7 | 2022-07-19T13:03:11.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | saadob12 | null | saadob12/t5_C2T_autochart | 20 | null | transformers | 8,462 | # Training Data
**Autochart:** Zhu, J., Ran, J., Lee, R. K. W., Choo, K., & Li, Z. (2021). AutoChart: A Dataset for Chart-to-Text Generation Task. arXiv preprint arXiv:2108.06897.
**Gitlab Link for the data**: https://gitlab.com/bottle_shop/snlg/chart/autochart
Train split for this model: Train 8000, Validation 1297,... |
BitanBiswas/depression-detection-bert | 189e97418e7f668157f10353b3dc4477f91feb8c | 2022-07-09T03:13:46.000Z | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | BitanBiswas | null | BitanBiswas/depression-detection-bert | 20 | null | transformers | 8,463 | Entry not found |
Ahmed007/distilbert-base-uncased-finetuned-emotion | 1ccaabaac4388c0a8def8917f13b75b807272baf | 2022-07-11T23:04:35.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Ahmed007 | null | Ahmed007/distilbert-base-uncased-finetuned-emotion | 20 | 1 | transformers | 8,464 | ---
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... |
MiguelCosta/finetuning-sentiment-model-3000-samples | 843a87b16f04f5f19dc9735f6506db9fdbccdda9 | 2022-07-12T06:06:41.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | MiguelCosta | null | MiguelCosta/finetuning-sentiment-model-3000-samples | 20 | null | transformers | 8,465 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
met... |
helena-balabin/qt-simcse-roberta-large | f699253ca4fc453c70b12257e5abc848b4b754a3 | 2022-07-13T09:33:52.000Z | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | helena-balabin | null | helena-balabin/qt-simcse-roberta-large | 20 | null | transformers | 8,466 | Entry not found |
hirohiroz/wav2vec2-base-timit-demo-google-colab-tryjpn | 4c0fa2774bb59db4861cbec1ab370efce2efe80a | 2022-07-19T08:16:37.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | hirohiroz | null | hirohiroz/wav2vec2-base-timit-demo-google-colab-tryjpn | 20 | null | transformers | 8,467 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-timit-demo-google-colab-tryjpn
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 commen... |
uer/roberta-tiny-wwm-chinese-cluecorpussmall | 36ecd8c2b96921ec25e5a92aa57d44bc796f4d11 | 2022-07-18T05:35:15.000Z | [
"pytorch",
"bert",
"fill-mask",
"zh",
"dataset:CLUECorpusSmall",
"arxiv:1909.05658",
"arxiv:1908.08962",
"transformers",
"autotrain_compatible"
] | fill-mask | false | uer | null | uer/roberta-tiny-wwm-chinese-cluecorpussmall | 20 | null | transformers | 8,468 | ---
language: zh
datasets: CLUECorpusSmall
widget:
- text: "北京是[MASK]国的首都。"
---
# Chinese Whole Word Masking RoBERTa Miniatures
## Model description
This is the set of 6 Chinese Whole Word Masking RoBERTa models pre-trained by [UER-py](https://arxiv.org/abs/1909.05658).
[Turc et al.](https://arxiv.org/abs/1908.0... |
ChuVN/bart-base-finetuned-squad2 | 2b047428c2cb0811fb6ae16ee69f49d9081b3469 | 2022-07-18T17:00:01.000Z | [
"pytorch",
"tensorboard",
"bart",
"question-answering",
"dataset:squad_v2",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | ChuVN | null | ChuVN/bart-base-finetuned-squad2 | 20 | null | transformers | 8,469 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: bart-base-finetuned-squad2
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 com... |
anahitapld/dbd_bert | 51fe60b82bcd7cff9bc3114855e54a09048140c5 | 2022-07-18T09:00:39.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers",
"license:apache-2.0"
] | text-classification | false | anahitapld | null | anahitapld/dbd_bert | 20 | null | transformers | 8,470 | ---
license: apache-2.0
---
|
Evelyn18/roberta-base-spanish-squades-becas1 | ad991e3086ad24101fa5eef917897666f838de86 | 2022-07-18T23:21:45.000Z | [
"pytorch",
"tensorboard",
"roberta",
"question-answering",
"dataset:becasv2",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | question-answering | false | Evelyn18 | null | Evelyn18/roberta-base-spanish-squades-becas1 | 20 | null | transformers | 8,471 | ---
tags:
- generated_from_trainer
datasets:
- becasv2
model-index:
- name: roberta-base-spanish-squades-becas1
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. -->
#... |
Anonymous-TST/knight-errant-TST-zh | 67eaaf77b9ef72f007a06e0b3b5104652c733732 | 2022-07-19T10:41:47.000Z | [
"pytorch",
"mbart",
"text2text-generation",
"multilingual",
"ar",
"cs",
"de",
"en",
"es",
"et",
"fi",
"fr",
"gu",
"hi",
"it",
"ja",
"kk",
"ko",
"lt",
"lv",
"my",
"ne",
"nl",
"ro",
"ru",
"si",
"tr",
"vi",
"zh",
"af",
"az",
"bn",
"fa",
"he",
"hr",
... | text2text-generation | false | Anonymous-TST | null | Anonymous-TST/knight-errant-TST-zh | 20 | null | transformers | 8,472 | ---
language:
- multilingual
- ar
- cs
- de
- en
- es
- et
- fi
- fr
- gu
- hi
- it
- ja
- kk
- ko
- lt
- lv
- my
- ne
- nl
- ro
- ru
- si
- tr
- vi
- zh
- af
- az
- bn
- fa
- he
- hr
- id
- ka
- km
- mk
- ml
- mn
- mr
- pl
- ps
- pt
- sv
- sw
- ta
- te
- th
- tl
- uk
- ur
- xh
- gl
- sl
license: mit
tags:
- mbart-50... |
johanna-k/pw-canine-ame | e66adc66093c7ed192e23a454feb3a6c6d1ba767 | 2022-07-21T05:08:39.000Z | [
"pytorch",
"canine",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | johanna-k | null | johanna-k/pw-canine-ame | 20 | null | transformers | 8,473 | Entry not found |
shamweel/bert-finetuned-ner | d7c53737adccbff38c68818061cafd99710e9c39 | 2022-07-22T17:18:35.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | shamweel | null | shamweel/bert-finetuned-ner | 20 | null | transformers | 8,474 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args: c... |
SummerChiam/pond | 984a641c51257984385f0884b8ee024379cb0a7d | 2022-07-23T07:47:49.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | SummerChiam | null | SummerChiam/pond | 20 | null | transformers | 8,475 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: pond
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9909297227859497
---
# pond
Autogenerated by Huggi... |
xander-cross/DialoGPT-small-EvilMortyTheBot | 3886d297e497a8197b69a3f8e245f51ca068acdd | 2022-07-23T17:16:15.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | xander-cross | null | xander-cross/DialoGPT-small-EvilMortyTheBot | 20 | null | transformers | 8,476 | ---
tags:
- conversational
---
# DialoGPT-small-EvilMortyTheBot |
SIMAS-UN/blaming_infrastructure | 2fc91fc66c1871c774c32ec5760c8c7ac9bea711 | 2022-07-24T04:04:50.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | SIMAS-UN | null | SIMAS-UN/blaming_infrastructure | 20 | null | transformers | 8,477 | Entry not found |
SIMAS-UN/blaming_locals | bf4f746ad4abca21c8c49ba8a3c94d7a635f5f59 | 2022-07-24T04:10:00.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | SIMAS-UN | null | SIMAS-UN/blaming_locals | 20 | null | transformers | 8,478 | Entry not found |
Daveee/gpl_colbert | b7b41eaffb0f8cd729c50f28edddcb49e1f2fb47 | 2022-07-24T15:26:10.000Z | [
"pytorch",
"bert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | Daveee | null | Daveee/gpl_colbert | 20 | null | sentence-transformers | 8,479 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste... |
swtx/Erlangshen-Roberta-110M-Similarity | 128a1cca1a8fa56b6933a120e6809759072b398b | 2022-07-25T06:46:00.000Z | [
"pytorch",
"bert",
"text-classification",
"zh",
"transformers",
"NLU",
"NLI",
"license:apache-2.0"
] | text-classification | false | swtx | null | swtx/Erlangshen-Roberta-110M-Similarity | 20 | null | transformers | 8,480 | ---
language:
- zh
license: apache-2.0
tags:
- bert
- NLU
- NLI
inference: true
widget:
- text: "今天心情不好[SEP]今天很开心"
---
# Erlangshen-Roberta-110M-Similarity, model (Chinese)，one model of [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM).
We collect 20 paraphrace datasets in the Chinese domain for f... |
nielsr/donut-base-finetuned-rvlcdip | c6d48f8aaf8b28e6bb25e36ba3c9eef06a9f9492 | 2022-07-26T09:46:46.000Z | [
"pytorch",
"vision-encoder-decoder",
"transformers"
] | null | false | nielsr | null | nielsr/donut-base-finetuned-rvlcdip | 20 | null | transformers | 8,481 | Entry not found |
AnonymousSub/recipes-roberta-base-no-ingr | 0d4065c1edc970feefd263a7bcb822f2b6f43ad6 | 2022-07-25T13:54:17.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | AnonymousSub | null | AnonymousSub/recipes-roberta-base-no-ingr | 20 | null | transformers | 8,482 | Entry not found |
jcashmoney123/test-model | 6ad4463fcd081bccdc030ca767b033b34b4658ec | 2022-07-25T16:16:07.000Z | [
"pytorch",
"bart",
"text2text-generation",
"unk",
"dataset:jcashmoney123/autotrain-data-test-summarization",
"transformers",
"autotrain",
"co2_eq_emissions",
"autotrain_compatible"
] | text2text-generation | false | jcashmoney123 | null | jcashmoney123/test-model | 20 | null | transformers | 8,483 | ---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- jcashmoney123/autotrain-data-test-summarization
co2_eq_emissions: 6.160395825083539
---
# Model Trained Using AutoTrain
- Problem type: Summarization
- Model ID: 1177143826
- CO2 Emissions (in grams): 6.160395825083539
## Validation ... |
Gaborandi/Clinical-Longformer-Cardiology | e4296b73c804b9079eb5fd41c12dd28004f75344 | 2022-07-29T02:14:50.000Z | [
"pytorch",
"tensorboard",
"longformer",
"fill-mask",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | fill-mask | false | Gaborandi | null | Gaborandi/Clinical-Longformer-Cardiology | 20 | null | transformers | 8,484 | ---
tags:
- generated_from_trainer
model-index:
- name: Clinical-Longformer-Cardiology
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. -->
# Clinical-Longformer-Card... |
BSC-TeMU/roberta-base-bne-capitel-ner | 927664f3c91af5dc86ac070000e3886b0d789a9e | 2021-10-21T10:29:35.000Z | [
"pytorch",
"roberta",
"token-classification",
"es",
"dataset:bne",
"dataset:capitel",
"arxiv:1907.11692",
"arxiv:2107.07253",
"transformers",
"national library of spain",
"spanish",
"bne",
"capitel",
"ner",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | BSC-TeMU | null | BSC-TeMU/roberta-base-bne-capitel-ner | 19 | 1 | transformers | 8,485 | ---
language:
- es
license: apache-2.0
tags:
- "national library of spain"
- "spanish"
- "bne"
- "capitel"
- "ner"
datasets:
- "bne"
- "capitel"
metrics:
- "f1"
---
**⚠️NOTICE⚠️: THIS MODEL HAS BEEN MOVED TO THE FOLLOWING URL AND WILL SOON BE REMOVED:** https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne-capitel-... |
BSC-TeMU/roberta-base-ca | 38504df62571a5ee14b1ff9e15af6abb98795fb0 | 2021-10-21T10:30:50.000Z | [
"pytorch",
"roberta",
"fill-mask",
"ca",
"transformers",
"masked-lm",
"BERTa",
"catalan",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | BSC-TeMU | null | BSC-TeMU/roberta-base-ca | 19 | 3 | transformers | 8,486 | ---
language: "ca"
tags:
- masked-lm
- BERTa
- catalan
widget:
- text: "El Català és una llengua molt <mask>."
- text: "Salvador Dalí va viure a <mask>."
- text: "La Costa Brava té les millors <mask> d'Espanya."
- text: "El cacaolat és un batut de <mask>."
- text: "<mask> és la capital de la Garrotxa."
- text: "Vaig al... |
CenIA/bert-base-spanish-wwm-cased-finetuned-pos | 446a9edd572f3387723477b47917ebfb25f80da0 | 2021-12-18T00:41:41.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | CenIA | null | CenIA/bert-base-spanish-wwm-cased-finetuned-pos | 19 | null | transformers | 8,487 | Entry not found |
Connor-tech/bert_cn_finetuning | aa18d8e9416e963268628e7a410b4ebd1e550bf7 | 2021-05-18T17:47:09.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | Connor-tech | null | Connor-tech/bert_cn_finetuning | 19 | null | transformers | 8,488 | Entry not found |
Davlan/xlm-roberta-base-finetuned-hausa | fb4b91e95a97c2d601bb84188af54283b7b99b40 | 2021-05-28T14:07:31.000Z | [
"pytorch",
"xlm-roberta",
"fill-mask",
"ha",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Davlan | null | Davlan/xlm-roberta-base-finetuned-hausa | 19 | null | transformers | 8,489 | Hugging Face's logo
---
language: ha
datasets:
---
# xlm-roberta-base-finetuned-hausa
## Model description
**xlm-roberta-base-finetuned-hausa** is a **Hausa RoBERTa** model obtained by fine-tuning **xlm-roberta-base** model on Hausa language texts. It provides **better performance** than the XLM-RoBERTa on text class... |
Davlan/xlm-roberta-base-finetuned-naija | b540dd60b5f2d320dfbf65ee834be8f69eabc0f3 | 2021-06-15T21:33:37.000Z | [
"pytorch",
"xlm-roberta",
"fill-mask",
"pcm",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Davlan | null | Davlan/xlm-roberta-base-finetuned-naija | 19 | null | transformers | 8,490 | Hugging Face's logo
---
language: pcm
datasets:
---
# xlm-roberta-base-finetuned-naija
## Model description
**xlm-roberta-base-finetuned-naija** is a **Nigerian Pidgin RoBERTa** model obtained by fine-tuning **xlm-roberta-base** model on Nigerian Pidgin language texts. It provides **better performance** than the XLM-... |
Emran/ClinicalBERT_ICD10_Full | c87c2431852fb908d39deb80c2f14a6672c85670 | 2021-10-12T17:27:57.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | Emran | null | Emran/ClinicalBERT_ICD10_Full | 19 | 1 | transformers | 8,491 | Entry not found |
Geotrend/distilbert-base-pl-cased | b676d1cb3c2ba3eec416e33b89fd6b03032ba25f | 2021-07-28T21:03:56.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"pl",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Geotrend | null | Geotrend/distilbert-base-pl-cased | 19 | null | transformers | 8,492 | ---
language: pl
datasets: wikipedia
license: apache-2.0
---
# distilbert-base-pl-cased
We are sharing smaller versions of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) that handle a custom number of languages.
Our versions give exactly the same representations pro... |
Geotrend/distilbert-base-vi-cased | 5279ece929309f2b4e369883642fdffd6e093513 | 2021-08-16T13:31:30.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"vi",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Geotrend | null | Geotrend/distilbert-base-vi-cased | 19 | null | transformers | 8,493 | ---
language: vi
datasets: wikipedia
license: apache-2.0
---
# distilbert-base-vi-cased
We are sharing smaller versions of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) that handle a custom number of languages.
Our versions give exactly the same representations pro... |
Ghana-NLP/robako-base-asante-twi-uncased | 2084629545d1f5371079a9174ca4e1d81db06195 | 2021-05-20T11:54:32.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Ghana-NLP | null | Ghana-NLP/robako-base-asante-twi-uncased | 19 | null | transformers | 8,494 | Entry not found |
Graphcore/bert-large-uncased-squad | ab8b9ad8bbb7ef560cce0c6b6996668cfd4430da | 2022-05-25T18:35:33.000Z | [
"pytorch",
"bert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | Graphcore | null | Graphcore/bert-large-uncased-squad | 19 | 2 | transformers | 8,495 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: Graphcore/bert-large-uncased-squad
results: []
---
# Graphcore/bert-large-uncased-squad
Optimum Graphcore is a new open-source library and toolkit that enables developers to access IPU-optimized models certified by Hugging ... |
Helsinki-NLP/opus-mt-cpp-cpp | b0189f62a8d53c5e9509b51ce1c3da0f6d45de90 | 2021-01-18T07:54:40.000Z | [
"pytorch",
"marian",
"text2text-generation",
"id",
"cpp",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-cpp-cpp | 19 | null | transformers | 8,496 | ---
language:
- id
- cpp
tags:
- translation
license: apache-2.0
---
### cpp-cpp
* source group: Creoles and pidgins, Portuguese-based
* target group: Creoles and pidgins, Portuguese-based
* OPUS readme: [cpp-cpp](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpp-cpp/README.md)
* model:... |
Helsinki-NLP/opus-mt-en-pap | 0f0260d873e31a23dd6ca857f866e37f26233fc0 | 2021-09-09T21:38:29.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"pap",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-pap | 19 | null | transformers | 8,497 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-pap
* source languages: en
* target languages: pap
* OPUS readme: [en-pap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-pap/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* d... |
Helsinki-NLP/opus-mt-en-sm | 7d94b8a5cb7369edbb896671ee68ce7078e1fca2 | 2021-09-09T21:39:08.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"sm",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-sm | 19 | null | transformers | 8,498 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-sm
* source languages: en
* target languages: sm
* OPUS readme: [en-sm](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-sm/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-en-ty | 557a92fc13de4419ba0e6130b45e7ab1603f1025 | 2021-09-09T21:40:25.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"ty",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-ty | 19 | null | transformers | 8,499 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-ty
* source languages: en
* target languages: ty
* OPUS readme: [en-ty](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ty/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
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