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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
textattack/distilbert-base-uncased-SST-2 | 6fea14f6264ea28d8405573dac228b3e11137643 | 2020-06-09T16:48:10.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | textattack | null | textattack/distilbert-base-uncased-SST-2 | 19 | null | transformers | 8,600 | Entry not found |
tupleblog/generate-thai-lyrics | e1a1c4732f79938fdfbd3934563f685540532b91 | 2021-08-09T23:06:14.000Z | [
"pytorch",
"gpt2",
"text-generation",
"th",
"transformers"
] | text-generation | false | tupleblog | null | tupleblog/generate-thai-lyrics | 19 | 1 | transformers | 8,601 | ---
language:
- th
widget:
- text: "ความรัก"
- text: "อยากรู้"
- text: "ไหนว่า"
---
# Generate Thai Lyrics (แต่งเพลงไทยด้วย GPT-2)
GPT-2 for Thai lyrics generation. We use [GPT-2 base Thai](https://huggingface.co/flax-community/gpt2-base-thai) as a pre-trained model
for [Siamzone lyrics](https://www.siamzone.com/musi... |
vinko/shitposting-AI | 3e0c5e065c6dac5d2b8acf25fcdb186091e36166 | 2022-07-12T09:33:51.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | vinko | null | vinko/shitposting-AI | 19 | 1 | transformers | 8,602 | Entry not found |
yhavinga/mt5-base-cnn-nl | b2764d1d7d0eb947d650e1ff006fcf67ca91d1cb | 2021-03-05T07:48:08.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"dutch",
"dataset:cnn_dm_nl",
"transformers",
"summarization",
"autotrain_compatible"
] | summarization | false | yhavinga | null | yhavinga/mt5-base-cnn-nl | 19 | null | transformers | 8,603 | ---
tags:
- summarization
language:
- dutch
datasets:
- cnn_dm_nl
widget:
- text: "(CNN) Skywatchers in West-Noord-Amerika zijn in voor een traktatie: een bijna vijf minuten totale maansverduistering vanmorgen. Hier is hoe het zich ontvouwt:. Het begon om 3:16 a.m. Pacific Daylight Tijd, toen de maan begon te bewegen ... |
wietsedv/xlm-roberta-base-ft-udpos28-pt | 904fe6c9b3641c0a77ac9dcd37e6466ed59c1c04 | 2022-02-25T09:59:14.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"pt",
"dataset:universal_dependencies",
"transformers",
"part-of-speech",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | wietsedv | null | wietsedv/xlm-roberta-base-ft-udpos28-pt | 19 | null | transformers | 8,604 |
---
language:
- pt
license: apache-2.0
library_name: transformers
tags:
- part-of-speech
- token-classification
datasets:
- universal_dependencies
metrics:
- accuracy
model-index:
- name: xlm-roberta-base-ft-udpos28-pt
results:
- task:
type: token-classification
name: Part-of-Speech Tagging
datas... |
cnicu/t5-small-booksum | 0169a67dc4873b529ca3612bdc9d79365632816a | 2022-02-26T21:32:52.000Z | [
"pytorch",
"t5",
"text2text-generation",
"dataset:kmfoda/booksum",
"transformers",
"summarization",
"summary",
"license:mit",
"autotrain_compatible"
] | summarization | false | cnicu | null | cnicu/t5-small-booksum | 19 | 2 | transformers | 8,605 | ---
license: mit
tags:
- summarization
- summary
datasets:
- kmfoda/booksum
---
|
ali2066/distilBERT_token_itr0_0.0001_webDiscourse_01_03_2022-15_16_57 | ae34543efff9a179fa156e6d8f681753fbf9783c | 2022-03-01T14:18:30.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | ali2066 | null | ali2066/distilBERT_token_itr0_0.0001_webDiscourse_01_03_2022-15_16_57 | 19 | null | transformers | 8,606 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilBERT_token_itr0_0.0001_webDiscourse_01_03_2022-15_16_57
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
sho... |
ali2066/distilBERT_token_itr0_0.0001_essays_01_03_2022-15_18_35 | 50bdc5dc06be09ed566294504a84e088e4b141b5 | 2022-03-01T14:20:06.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | ali2066 | null | ali2066/distilBERT_token_itr0_0.0001_essays_01_03_2022-15_18_35 | 19 | null | transformers | 8,607 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilBERT_token_itr0_0.0001_essays_01_03_2022-15_18_35
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pr... |
ali2066/distilBERT_token_itr0_0.0001_editorials_01_03_2022-15_20_12 | 085586cf4b9e6c2bf87b0319d7ce43dcbe75a066 | 2022-03-01T14:22:08.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | ali2066 | null | ali2066/distilBERT_token_itr0_0.0001_editorials_01_03_2022-15_20_12 | 19 | null | transformers | 8,608 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilBERT_token_itr0_0.0001_editorials_01_03_2022-15_20_12
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
shoul... |
ali2066/distilBERT_token_itr0_0.0001_all_01_03_2022-15_22_12 | 1f213dc717ec7c1f89c834cfc69e74e115249d60 | 2022-03-01T14:25:30.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | ali2066 | null | ali2066/distilBERT_token_itr0_0.0001_all_01_03_2022-15_22_12 | 19 | null | transformers | 8,609 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilBERT_token_itr0_0.0001_all_01_03_2022-15_22_12
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should proba... |
ali2066/correct_BERT_token_itr0_0.0001_webDiscourse_01_03_2022-15_47_14 | 2bb02fe596c6b533fa3d5f1b609a6363c313f212 | 2022-03-01T14:48:43.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | ali2066 | null | ali2066/correct_BERT_token_itr0_0.0001_webDiscourse_01_03_2022-15_47_14 | 19 | null | transformers | 8,610 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: correct_BERT_token_itr0_0.0001_webDiscourse_01_03_2022-15_47_14
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
s... |
ali2066/correct_BERT_token_itr0_0.0001_essays_01_03_2022-15_48_47 | 781dd9df4e4f5f7ab9df50cb60f5176f7936e52b | 2022-03-01T14:50:16.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | ali2066 | null | ali2066/correct_BERT_token_itr0_0.0001_essays_01_03_2022-15_48_47 | 19 | null | transformers | 8,611 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: correct_BERT_token_itr0_0.0001_essays_01_03_2022-15_48_47
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should ... |
ali2066/correct_BERT_token_itr0_0.0001_editorials_01_03_2022-15_50_21 | fbb89199322aeef09e41d7f54fd344bd9730f06f | 2022-03-01T14:52:15.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | ali2066 | null | ali2066/correct_BERT_token_itr0_0.0001_editorials_01_03_2022-15_50_21 | 19 | null | transformers | 8,612 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: correct_BERT_token_itr0_0.0001_editorials_01_03_2022-15_50_21
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
sho... |
ali2066/correct_BERT_token_itr0_0.0001_all_01_03_2022-15_52_19 | b27ac23d47951eabb2ed2f33b72a6a0912bb7f9f | 2022-03-01T14:55:36.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | ali2066 | null | ali2066/correct_BERT_token_itr0_0.0001_all_01_03_2022-15_52_19 | 19 | null | transformers | 8,613 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: correct_BERT_token_itr0_0.0001_all_01_03_2022-15_52_19
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should pro... |
be4rr/xlm-roberta-base-finetuned-panx-de | 432fa9c8d8a752f3377262ca3782e3cb45d02669 | 2022-03-05T06:37:26.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"token-classification",
"dataset:xtreme",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | be4rr | null | be4rr/xlm-roberta-base-finetuned-panx-de | 19 | null | transformers | 8,614 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
args: PAN-X.de
metrics:
- name:... |
peterhsu/mt5-small-finetuned-amazon-en-zh_TW | e8ac447be45995697e1828b1084d08d591d51f74 | 2022-03-10T07:05:34.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | peterhsu | null | peterhsu/mt5-small-finetuned-amazon-en-zh_TW | 19 | null | transformers | 8,615 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-amazon-en-zh_TW
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it,... |
mitiku/AmharicCacoPostag | b1cf0a2d0953f500e97e68dead4da9c00b18d6e4 | 2022-03-20T10:11:18.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | mitiku | null | mitiku/AmharicCacoPostag | 19 | null | transformers | 8,616 | ---
tags:
- generated_from_trainer
model-index:
- name: AmharicCacoPostag
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. -->
# AmharicCacoPostag
This model was tra... |
ccdv/lsg-distilbert-base-uncased-4096 | 686895e1d6a2c7a7d8972c6b20b71760dd143be5 | 2022-07-25T16:35:33.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"en",
"transformers",
"long context",
"autotrain_compatible"
] | fill-mask | false | ccdv | null | ccdv/lsg-distilbert-base-uncased-4096 | 19 | null | transformers | 8,617 | ---
language: en
tags:
- long context
---
# 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](#parameters)
* [Sparse selection type](... |
ukr-models/xlm-roberta-base-uk | 6cf5dfdf6fdcd44c81e22dd98e1c0340898d1558 | 2022-03-12T08:15:16.000Z | [
"pytorch",
"xlm-roberta",
"fill-mask",
"uk",
"transformers",
"ukrainian",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | ukr-models | null | ukr-models/xlm-roberta-base-uk | 19 | 2 | transformers | 8,618 | ---
language:
- uk
tags:
- ukrainian
widget:
- text: "Тарас Шевченко – великий український <mask>."
license: mit
---
This is a smaller version of the [XLM-RoBERTa](https://huggingface.co/xlm-roberta-base) model with only Ukrainian and some English embeddings left.
* The original model has 470M parameters, with 384M ... |
nikolamilosevic/distil_bert_uncased-finetuned-relations | f34ec890eacef9d6f1c3f79e20f352e4ccbd9215 | 2022-06-19T13:28:53.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | nikolamilosevic | null | nikolamilosevic/distil_bert_uncased-finetuned-relations | 19 | null | transformers | 8,619 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- recall
- f1
model-index:
- name: distil_bert_uncased-finetuned-relations
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complet... |
StivenLancheros/biobert-base-cased-v1.2-finetuned-ner-CRAFT_AugmentedTransfer_EN | 3728d8cd2666a51d430fba1ebb588eeef086d7a6 | 2022-03-17T14:51:01.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | StivenLancheros | null | StivenLancheros/biobert-base-cased-v1.2-finetuned-ner-CRAFT_AugmentedTransfer_EN | 19 | null | transformers | 8,620 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: biobert-base-cased-v1.2-finetuned-ner-CRAFT_AugmentedTransfer_EN
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proo... |
StivenLancheros/biobert-base-cased-v1.2-finetuned-ner-CRAFT_AugmentedTransfer_ES | 772c128b62e7913f0d4f9a957c62c02cf1e3c533 | 2022-03-17T14:51:33.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | StivenLancheros | null | StivenLancheros/biobert-base-cased-v1.2-finetuned-ner-CRAFT_AugmentedTransfer_ES | 19 | null | transformers | 8,621 | ---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: biobert-base-cased-v1.2-finetuned-ner-CRAFT_AugmentedTransfer_ES
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proo... |
saattrupdan/job-listing-filtering-model | 5e178873916413a84ed8a750161b789b3026c668 | 2022-03-22T18:21:05.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | saattrupdan | null | saattrupdan/job-listing-filtering-model | 19 | null | transformers | 8,622 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: job-listing-filtering-model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# job-listing-fi... |
asafaya/hubert-base-turkish | 4fcd01cfe986a1a3817233e3b89ddb77c2ce65e2 | 2022-03-29T19:08:55.000Z | [
"pytorch",
"hubert",
"feature-extraction",
"transformers",
"license:cc-by-nc-4.0"
] | feature-extraction | false | asafaya | null | asafaya/hubert-base-turkish | 19 | null | transformers | 8,623 | ---
license: cc-by-nc-4.0
---
|
nqcccccc/phobert-vlsp-absa-qab | a254bc07bc0b2fd5b810b6d91b240456a4909d5b | 2022-04-02T17:08:50.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | nqcccccc | null | nqcccccc/phobert-vlsp-absa-qab | 19 | null | transformers | 8,624 | Entry not found |
palakagl/distilbert_MultiClass_TextClassification | 0c50f39087b2f9263b3c26d4a63ddb3efeb5fd6e | 2022-04-07T17:12:15.000Z | [
"pytorch",
"distilbert",
"text-classification",
"en",
"dataset:palakagl/autotrain-data-PersonalAssitant",
"transformers",
"autotrain",
"co2_eq_emissions"
] | text-classification | false | palakagl | null | palakagl/distilbert_MultiClass_TextClassification | 19 | null | transformers | 8,625 | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- palakagl/autotrain-data-PersonalAssitant
co2_eq_emissions: 2.258363491829382
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 717221781
- CO2 Emissions (in grams): 2.258363491829382
## Validat... |
BigSalmon/GPT2Neo1.3BPoints2 | 5d3d912d44abc0be66d3ab8e7fb8a731a7178d48 | 2022-04-12T19:20:21.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | false | BigSalmon | null | BigSalmon/GPT2Neo1.3BPoints2 | 19 | null | transformers | 8,626 | ```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/GPT2Neo1.3BPoints2")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/GPT2Neo1.3BPoints2")
```
```
How To Make Prompt:
informal english: i am very ready to do that just that.
Translated into t... |
Wogiger/roberta-food | 0614d95efac62c8f5b818d6e3ea4ee8ee4b3fa69 | 2022-04-15T08:46:08.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Wogiger | null | Wogiger/roberta-food | 19 | null | transformers | 8,627 | Entry not found |
Helsinki-NLP/opus-mt-tc-big-lv-en | 6a72922634efb08f24d49149300122ef84e313e6 | 2022-06-01T13:00:52.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"lv",
"transformers",
"translation",
"opus-mt-tc",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-tc-big-lv-en | 19 | null | transformers | 8,628 | ---
language:
- en
- lv
tags:
- translation
- opus-mt-tc
license: cc-by-4.0
model-index:
- name: opus-mt-tc-big-lv-en
results:
- task:
name: Translation lav-eng
type: translation
args: lav-eng
dataset:
name: flores101-devtest
type: flores_101
args: lav eng devtest
metrics... |
schhwmn/mbart-large-50-finetuned-ukr-gec | 799924f48e2aaa2f2609e8181e8b64b3dd01f85d | 2022-04-21T11:33:45.000Z | [
"pytorch",
"mbart",
"text2text-generation",
"uk",
"arxiv:2103.16997",
"transformers",
"gec",
"mbart-50",
"autotrain_compatible"
] | text2text-generation | false | schhwmn | null | schhwmn/mbart-large-50-finetuned-ukr-gec | 19 | null | transformers | 8,629 | ---
language: uk
tags:
- gec
- mbart-50
widget:
- text: "я й не думав що комп'ютерна лінгвістика це легкоо."
---
This model was finetuned on errorful sentences from the `train` subset of [UA-GEC](https://github.com/grammarly/ua-gec) corpus, introduced in [UA-GEC: Grammatical Error Correction and Fluency Corpus for t... |
eslamxm/AraT5-base-title-generation-finetuned-ar-wikilingua | 9137f2a54721e97c0aa5dbb241d5fcf7ef7407d3 | 2022-04-20T04:35:31.000Z | [
"pytorch",
"t5",
"text2text-generation",
"dataset:wiki_lingua",
"transformers",
"summarization",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | summarization | false | eslamxm | null | eslamxm/AraT5-base-title-generation-finetuned-ar-wikilingua | 19 | null | transformers | 8,630 | ---
tags:
- summarization
- generated_from_trainer
datasets:
- wiki_lingua
model-index:
- name: AraT5-base-title-generation-finetuned-ar-xlsum
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, t... |
vivianhuang88/bert_twitter_hashtag | 41881997709e9403b6b73dd4cedced5fdeaf05e4 | 2022-04-19T06:13:59.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"license:afl-3.0",
"autotrain_compatible"
] | fill-mask | false | vivianhuang88 | null | vivianhuang88/bert_twitter_hashtag | 19 | null | transformers | 8,631 | ---
license: afl-3.0
---
# Overview
This model is based on [bert-base-uncased](https://huggingface.co/bert-base-uncased) model and trained on more than 30k tweets that scraped from Twitter. By inputing some sentences with a '[MASK]' indicating the location you would like to fill in with a hashtag, our model can gener... |
emilylearning/finetuned_cgp_added_birth_place__female_weight_1.5__test_run_False__p_dataset_100 | 2e1240eebf9911c7ebdb49cccf2d9270d0c4332e | 2022-04-21T22:13:54.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | emilylearning | null | emilylearning/finetuned_cgp_added_birth_place__female_weight_1.5__test_run_False__p_dataset_100 | 19 | null | transformers | 8,632 | Entry not found |
emilylearning/finetuned_cgp_add_birth_date__f_weight_5__p_dataset_100__test_False | 463a352f13b612bf36d961d093e1a493c7d6ad92 | 2022-04-25T08:11:31.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | emilylearning | null | emilylearning/finetuned_cgp_add_birth_date__f_weight_5__p_dataset_100__test_False | 19 | null | transformers | 8,633 | Entry not found |
emilylearning/finetuned_cgp_add_birth_place__f_weight_5__p_dataset_100__test_False | beac4c8e8f8d5f5517bc6e75e0037347c84bf89f | 2022-04-24T21:06:12.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | emilylearning | null | emilylearning/finetuned_cgp_add_birth_place__f_weight_5__p_dataset_100__test_False | 19 | null | transformers | 8,634 | Entry not found |
Lucifermorningstar011/autotrain-final-784824206 | 97489bd4366239eba7bc9f9b4c3b5222e4e4029f | 2022-04-25T18:46:51.000Z | [
"pytorch",
"bert",
"token-classification",
"en",
"dataset:Lucifermorningstar011/autotrain-data-final",
"transformers",
"autotrain",
"co2_eq_emissions",
"autotrain_compatible"
] | token-classification | false | Lucifermorningstar011 | null | Lucifermorningstar011/autotrain-final-784824206 | 19 | null | transformers | 8,635 | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- Lucifermorningstar011/autotrain-data-final
co2_eq_emissions: 354.21745907505175
---
# Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 784824206
- CO2 Emissions (in grams): 354.21745907505175
## Validation M... |
Lucifermorningstar011/autotrain-final-784824213 | 327013fea91dfbde55328555aa776401beb7ecfb | 2022-04-25T19:24:43.000Z | [
"pytorch",
"bert",
"token-classification",
"en",
"dataset:Lucifermorningstar011/autotrain-data-final",
"transformers",
"autotrain",
"co2_eq_emissions",
"autotrain_compatible"
] | token-classification | false | Lucifermorningstar011 | null | Lucifermorningstar011/autotrain-final-784824213 | 19 | null | transformers | 8,636 | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- Lucifermorningstar011/autotrain-data-final
co2_eq_emissions: 443.62532415086787
---
# Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 784824213
- CO2 Emissions (in grams): 443.62532415086787
## Validation M... |
yihsuan/best_model_0426_base | e16b7d1bbeaa94f2dedbda63a2da20efd7b11dfc | 2022-04-28T01:44:27.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"zh",
"transformers",
"summarization",
"mT5",
"autotrain_compatible"
] | summarization | false | yihsuan | null | yihsuan/best_model_0426_base | 19 | null | transformers | 8,637 | ---
tags:
- summarization
- mT5
language:
- zh
widget:
- text: "專家稱維康桑格研究所(Wellcome Sanger Institute)的上述研究發現「令人震驚」而且「發人深省」。基因變異指關於我們身體成長和管理的相關指令，也就是DNA當中發生的變化。長期以來，變異一直被當作癌症的根源，但是數十年來關於變異是否對衰老有重要影響一直存在爭論。桑格研究所的研究人員說他們得到了「第一個試驗性證據」，證明了兩者的關係。他們分析了預期壽命各異的物種基因變異的不同速度。研究人員分析了貓、黑白疣猴、狗、雪貂、長頸鹿、馬、人、獅子、裸鼴鼠、兔子、老鼠、環尾狐猴和老虎等十幾種動物的DN... |
Lilya/distilbert-base-uncased-finetuned-ner-TRANS | 587367aa304f568002e426e2162f72485244aa86 | 2022-04-28T07:00:58.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | Lilya | null | Lilya/distilbert-base-uncased-finetuned-ner-TRANS | 19 | null | transformers | 8,638 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-ner-TRANS
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proof... |
cassiepowell/msmarco-RoBERTa-for-similarity | 831764faebb3d2b211d3e3cc65e1114f6f336faa | 2022-04-28T17:46:46.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | cassiepowell | null | cassiepowell/msmarco-RoBERTa-for-similarity | 19 | null | transformers | 8,639 | Entry not found |
HiTZ/A2T_RoBERTa_SMFA_ACE-arg | 6cb7fc2c69aea176c58e379c6ffdf8d63b1e61e4 | 2022-05-08T23:09:14.000Z | [
"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 | 19 | null | transformers | 8,640 | ---
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... |
Philip-Jan/finetuning-sentiment-model-3000-samples | 966415e9322c814a22dd40b18e59f855459d4455 | 2022-07-13T20:44:10.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Philip-Jan | null | Philip-Jan/finetuning-sentiment-model-3000-samples | 19 | null | transformers | 8,641 | ---
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... |
jerryKakooza/language-detection-fine-tuned-on-xlm-roberta-base | b4fa3b7f65a428f5f94f62640ad8bb391deae434 | 2022-05-03T09:31:18.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"text-classification",
"dataset:common_language",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | jerryKakooza | null | jerryKakooza/language-detection-fine-tuned-on-xlm-roberta-base | 19 | null | transformers | 8,642 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- common_language
metrics:
- accuracy
model-index:
- name: language-detection-fine-tuned-on-xlm-roberta-base
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: common_language
type: common_language... |
emilylearning/finetuned_cgp_added_birth_date__test_run_False__p_dataset_100 | fcf11285a2f0ea8472f731dcff339d127c5231a2 | 2022-05-06T07:27:24.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | emilylearning | null | emilylearning/finetuned_cgp_added_birth_date__test_run_False__p_dataset_100 | 19 | null | transformers | 8,643 | Entry not found |
theojolliffe/bart-large-cnn-finetuned-pubmed | 9ed6b95cc8ade42a8398d70dba8f629e0fc9ca09 | 2022-05-07T10:50:06.000Z | [
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"dataset:scientific_papers",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | theojolliffe | null | theojolliffe/bart-large-cnn-finetuned-pubmed | 19 | null | transformers | 8,644 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- scientific_papers
metrics:
- rouge
model-index:
- name: bart-large-cnn-finetuned-pubmed
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: scientific_papers
type: scientific_p... |
RobertoMCA97/bert-finetuned-inspec | 37995bb66779d7b7929fcd7c4b21ec7baf3ad63e | 2022-05-07T16:35:01.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:inspec",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | RobertoMCA97 | null | RobertoMCA97/bert-finetuned-inspec | 19 | null | transformers | 8,645 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- inspec
metrics:
- f1
model-index:
- name: bert-finetuned-inspec
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: inspec
type: inspec
args: extraction
metrics:
- name: F1
... |
pile-of-law/distilbert-base-uncased-finetuned-eoir_privacy | f85c0f418a24db8a0146b739688cc7824b2b29c8 | 2022-07-04T07:27:19.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:eoir_privacy",
"arxiv:2207.00220",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | pile-of-law | null | pile-of-law/distilbert-base-uncased-finetuned-eoir_privacy | 19 | 2 | transformers | 8,646 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- eoir_privacy
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-eoir_privacy
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: eoir_privacy
type: eoir_privacy... |
eslamxm/mt5-base-arabic | 16fa82f4facb900388ce38930cf304ced4c6702c | 2022-06-14T18:08:07.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"dataset:xlsum",
"transformers",
"summarization",
"arabic",
"ar",
"Abstractive Summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | eslamxm | null | eslamxm/mt5-base-arabic | 19 | null | transformers | 8,647 | ---
license: apache-2.0
tags:
- summarization
- arabic
- ar
- mt5
- Abstractive Summarization
- generated_from_trainer
datasets:
- xlsum
model-index:
- name: mt5-base-arabic
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probab... |
Jiexing/spider_relation_t5_3b-4160 | 00eec8beeed64edaf1563426c58303017c3c7859 | 2022-05-09T16:42:34.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Jiexing | null | Jiexing/spider_relation_t5_3b-4160 | 19 | null | transformers | 8,648 | Entry not found |
CEBaB/lstm.CEBaB.sa.3-class.exclusive.seed_42 | 11c79f55bdfb5b351a2e150d710df7742877a1b8 | 2022-05-10T23:37:45.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | CEBaB | null | CEBaB/lstm.CEBaB.sa.3-class.exclusive.seed_42 | 19 | null | transformers | 8,649 | Entry not found |
Xiaoman/NER-CoNLL2003-V3 | 1c6a91de55dd52137ba787de590778fdab365217 | 2022-05-14T18:42:17.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | Xiaoman | null | Xiaoman/NER-CoNLL2003-V3 | 19 | null | transformers | 8,650 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: NER-CoNLL2003-V3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# NER-CoNLL2003-V3
... |
paust/pko-t5-small | c89bdaf7e9b562fec1b73bffb6d83c608d24657b | 2022-05-21T06:38:51.000Z | [
"pytorch",
"t5",
"text2text-generation",
"ko",
"arxiv:2105.09680",
"transformers",
"license:cc-by-4.0",
"autotrain_compatible"
] | text2text-generation | false | paust | null | paust/pko-t5-small | 19 | 1 | transformers | 8,651 | ---
language: ko
license: cc-by-4.0
---
# pko-t5-small
[Source Code](https://github.com/paust-team/pko-t5)
pko-t5 는 한국어 전용 데이터로 학습한 [t5 v1.1 모델](https://github.com/google-research/text-to-text-transfer-transformer/blob/84f8bcc14b5f2c03de51bd3587609ba8f6bbd1cd/released_checkpoints.md)입니다.
한국어를 tokenize 하기 위해서 senten... |
RobertoMCA97/bert-finetuned-inspec-3-epochs | 2023362bda4b17d9e2bdce2f984c51c36d79f1d7 | 2022-05-17T17:27:13.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:inspec",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | RobertoMCA97 | null | RobertoMCA97/bert-finetuned-inspec-3-epochs | 19 | null | transformers | 8,652 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- inspec
metrics:
- f1
- precision
- recall
model-index:
- name: bert-finetuned-inspec-3-epochs
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: inspec
type: inspec
args: extractio... |
ibm/qcpg-questions | 4b7b17212dbc6fbc5af2189184bc42d15efb5d47 | 2022-05-18T11:03:01.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | ibm | null | ibm/qcpg-questions | 19 | null | transformers | 8,653 | Details can be found [here](https://github.com/IBM/quality-controlled-paraphrase-generation) |
priyamm/autotrain-KeywordExtraction-882328335 | 4538e66824ddbb94c4486ee0b4041b4d273690e7 | 2022-05-18T20:40:08.000Z | [
"pytorch",
"bert",
"text-classification",
"unk",
"dataset:priyamm/autotrain-data-KeywordExtraction",
"transformers",
"autotrain",
"co2_eq_emissions"
] | text-classification | false | priyamm | null | priyamm/autotrain-KeywordExtraction-882328335 | 19 | null | transformers | 8,654 | ---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- priyamm/autotrain-data-KeywordExtraction
co2_eq_emissions: 0.21373468108000182
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 882328335
- CO2 Emissions (in grams): 0.21373468108000182
## Validat... |
d4niel92/t5-reddit | b819bdcaaab7056584c7249005177f003484b205 | 2022-07-03T07:48:08.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | d4niel92 | null | d4niel92/t5-reddit | 19 | null | transformers | 8,655 | This T5 small model finetuned on Reddit data.
It has two subtasks:
title generation
tag classification |
emilylearning/cond_ft_birth_date_on_wiki_bio__prcnt_na__test_run_True | 3548ef90be69dd06cbff4864879435270a2c0a56 | 2022-05-25T02:55:08.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | emilylearning | null | emilylearning/cond_ft_birth_date_on_wiki_bio__prcnt_na__test_run_True | 19 | null | transformers | 8,656 | Entry not found |
SalamaThanks/SalamaThanksTransformer_en2fil_v3 | a7543a82b9a251db339ca0c27e97d35043817ad3 | 2022-06-06T11:19:24.000Z | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | SalamaThanks | null | SalamaThanks/SalamaThanksTransformer_en2fil_v3 | 19 | null | transformers | 8,657 | Entry not found |
plncmm/roberta-clinical-wl-es | c0ddaa11193d5ed9d6b454d43dab8f4cd2092828 | 2022-06-07T23:00:56.000Z | [
"pytorch",
"roberta",
"fill-mask",
"es",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | plncmm | null | plncmm/roberta-clinical-wl-es | 19 | null | transformers | 8,658 | ---
license: apache-2.0
language:
- es
widget:
- text: "Periodontitis <mask> generalizada severa."
- text: "Caries dentinaria <mask>."
- text: "Movilidad aumentada en pza <mask>."
- text: "Pcte con dm en tto con <mask>."
- text: "Pcte con erc en tto con <mask>."
tags:
- generated_from_trainer
model-index:
- name: rober... |
samba/samba-large-bert-fine-tuned | ae44968f00c6e36388aca3825078bf70c3f6299a | 2022-06-13T02:18:56.000Z | [
"pytorch",
"roberta",
"text-generation",
"transformers",
"license:apache-2.0"
] | text-generation | false | samba | null | samba/samba-large-bert-fine-tuned | 19 | null | transformers | 8,659 | ---
license: apache-2.0
---
|
Aneela/bert-finetuned-ner | f10642157d77675160047c97eb7527563108236f | 2022-06-19T13:57:08.000Z | [
"pytorch",
"tensorboard",
"bert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | Aneela | null | Aneela/bert-finetuned-ner | 19 | null | transformers | 8,660 | ---
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... |
chkla/parlbert-topic-german | 6db3aeb6bb3122f8e117f266ea6c6bfe7be3a44d | 2022-06-20T09:45:18.000Z | [
"pytorch",
"bert",
"text-classification",
"german",
"transformers"
] | text-classification | false | chkla | null | chkla/parlbert-topic-german | 19 | null | transformers | 8,661 | ---
language: german
---
### Welcome to ParlBERT-Topic-German!
🏷 **Model description**
This model was trained on \~10k manually annotated interpellations (📚 [Breunig/ Schnatterer 2019](https://oxford.universitypressscholarship.com/view/10.1093/oso/9780198835332.001.0001/oso-9780198835332)) with topics from the [Co... |
bousejin/distilbert-base-uncased-finetuned-emotion | 84d53d10aace685a7571d97cbed6b7e34f964801 | 2022-07-13T12:53:50.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | bousejin | null | bousejin/distilbert-base-uncased-finetuned-emotion | 19 | null | transformers | 8,662 | ---
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... |
abhishek/autotrain_fashion_mnist_vit_base | 7aa1c5cbc6c320e84d15026792d600ed28dd23ac | 2022-06-23T13:48:56.000Z | [
"pytorch",
"vit",
"image-classification",
"dataset:abhishek/autotrain-data-vision_877913e77fb94b7abd4dafc5ebf830b0",
"dataset:fashion_mnist",
"transformers",
"autotrain",
"model-index",
"co2_eq_emissions"
] | image-classification | false | abhishek | null | abhishek/autotrain_fashion_mnist_vit_base | 19 | null | transformers | 8,663 | ---
tags: autotrain
datasets:
- abhishek/autotrain-data-vision_877913e77fb94b7abd4dafc5ebf830b0
- fashion_mnist
co2_eq_emissions: 0.2438639401641305
model-index:
- name: autotrain_fashion_mnist_vit_base
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: fashi... |
mgfrantz/deberta_v3_finetuned_predicting_effective_arguments | 18cc8c463d8cdb69c925bd574c2c31f80b66fdb9 | 2022-07-26T23:17:01.000Z | [
"pytorch",
"tensorboard",
"deberta-v2",
"text-classification",
"transformers"
] | text-classification | false | mgfrantz | null | mgfrantz/deberta_v3_finetuned_predicting_effective_arguments | 19 | null | transformers | 8,664 | Entry not found |
annahaz/xlm-roberta-base-finetuned-misogyny-en-it-hi-beng | 3139e31f1d45fb39e9a5b9eb70dce82c4eb7cad1 | 2022-06-30T20:47:09.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | annahaz | null | annahaz/xlm-roberta-base-finetuned-misogyny-en-it-hi-beng | 19 | null | transformers | 8,665 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: xlm-roberta-base-finetuned-misogyny-en-it-hi-beng
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofr... |
anahitapld/robera-base-dbd | c1f6bf7c5dff38150dffba3ee10c3edd0976cd53 | 2022-06-29T08:53:27.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers",
"license:apache-2.0"
] | text-classification | false | anahitapld | null | anahitapld/robera-base-dbd | 19 | null | transformers | 8,666 | ---
license: apache-2.0
---
|
JHart96/finetuning-sentiment-model-3000-samples | 69ce08ed13517dee4611d53707c0d625feea4201 | 2022-06-29T18:20:13.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | JHart96 | null | JHart96/finetuning-sentiment-model-3000-samples | 19 | null | transformers | 8,667 | ---
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... |
ychenNLP/arabic-ner-ace | 2ea8baa63841c8f8bec9a1d8204589b951cc7455 | 2022-07-12T20:02:24.000Z | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"en",
"dataset:ACE2005",
"transformers",
"BERT",
"token-classification",
"sequence-tagger-model",
"license:mit"
] | text-classification | false | ychenNLP | null | ychenNLP/arabic-ner-ace | 19 | 1 | transformers | 8,668 | ---
tags:
- BERT
- token-classification
- sequence-tagger-model
language:
- ar
- en
license: mit
datasets:
- ACE2005
---
# Arabic NER Model
- [Github repo](https://github.com/edchengg/GigaBERT)
- NER BIO tagging model based on [GigaBERTv4](https://huggingface.co/lanwuwei/GigaBERT-v4-Arabic-and-English).
- ACE2005 Train... |
projecte-aina/roberta-base-ca-v2-cased-pos | a7a8a3a5ff15e239233ed1543cd6f52f24cd2652 | 2022-07-25T06:58:29.000Z | [
"pytorch",
"roberta",
"token-classification",
"ca",
"dataset:universal_dependencies",
"arxiv:1907.11692",
"transformers",
"catalan",
"part of speech tagging",
"pos",
"CaText",
"Catalan Textual Corpus",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | projecte-aina | null | projecte-aina/roberta-base-ca-v2-cased-pos | 19 | null | transformers | 8,669 | ---
language:
- ca
license: apache-2.0
tags:
- "catalan"
- "part of speech tagging"
- "pos"
- "CaText"
- "Catalan Textual Corpus"
datasets:
- "universal_dependencies"
metrics:
- f1
inference:
parameters:
aggregation_strategy: "first"
model-index:
- name: roberta-base-ca-v2-cased-pos
results:
... |
Skelebor/book-descriptions | f94925b929bfd285ee4292bd1d3e517fbbc7449e | 2022-06-30T17:22:25.000Z | [
"pytorch",
"t5",
"feature-extraction",
"transformers"
] | feature-extraction | false | Skelebor | null | Skelebor/book-descriptions | 19 | null | transformers | 8,670 | Entry not found |
emilys/twitter-roberta-base-WNUT | e1907bac65d89100aa6c2c1e4b86cec6cbbfd9e6 | 2022-07-02T01:11:49.000Z | [
"pytorch",
"roberta",
"token-classification",
"dataset:wnut_17",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | emilys | null | emilys/twitter-roberta-base-WNUT | 19 | null | transformers | 8,671 | ---
tags:
- generated_from_trainer
datasets:
- wnut_17
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: twitter-roberta-base-WNUT
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: wnut_17
type: wnut_17
args: wnut_17
metrics:... |
haritzpuerto/distilroberta-squad_1.1 | 583aaaed1bf76cf0f31b3086c8028c316bc29e78 | 2022-07-03T21:51:19.000Z | [
"pytorch",
"roberta",
"question-answering",
"en",
"dataset:squad",
"transformers",
"QA",
"Question Answering",
"SQuAD",
"license:mit",
"model-index",
"autotrain_compatible"
] | question-answering | false | haritzpuerto | null | haritzpuerto/distilroberta-squad_1.1 | 19 | null | transformers | 8,672 | ---
language:
- en
tags:
- QA
- Question Answering
- SQuAD
license: "mit"
datasets:
- squad
metrics:
- squad
model-index:
- name: distilroberta-base
results:
- task:
type: question-answering # Required. Example: automatic-speech-recognition
name: Question Answering # Optional... |
Morfeo/it5-base-news-summarization-finetuned-it-sum | 07501c4a7c2de4725aa7c2731e9212ed959db873 | 2022-07-04T22:02:07.000Z | [
"pytorch",
"tensorboard",
"mbart",
"text2text-generation",
"transformers",
"summarization",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | summarization | false | Morfeo | null | Morfeo/it5-base-news-summarization-finetuned-it-sum | 19 | null | transformers | 8,673 | ---
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: it5-base-news-summarization-finetuned-it-sum
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 remov... |
BlazeLlama/piwpaw_medium | 1583a63fd1f8c353016131be8c7ee11b95126d2e | 2022-07-13T13:21:54.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | BlazeLlama | null | BlazeLlama/piwpaw_medium | 19 | null | transformers | 8,674 | Entry not found |
tanapatentlm/patentdeberta_large_spec_512_pwi | a0954d01996eb5fca536f5a438c2e687aa78475d | 2022-07-07T04:46:35.000Z | [
"pytorch",
"deberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | tanapatentlm | null | tanapatentlm/patentdeberta_large_spec_512_pwi | 19 | null | transformers | 8,675 | Entry not found |
Aktsvigun/bart-base_aeslc_3198548 | 7996a33124518469016c21e99deeb49829f74b39 | 2022-07-07T15:29:57.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Aktsvigun | null | Aktsvigun/bart-base_aeslc_3198548 | 19 | null | transformers | 8,676 | Entry not found |
andy-0v0/fancy-animales | f3130cd17610217f8897c6edb37b58f9b9f0603d | 2022-07-12T15:30:18.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | andy-0v0 | null | andy-0v0/fancy-animales | 19 | null | transformers | 8,677 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: fancy-animales
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 0.9464285969734192
---
# fancy-animales
Jus... |
KoichiYasuoka/bert-ancient-chinese-base-ud-head | 92e420b6f6e062ef0205727460510dcdb79571fa | 2022-07-20T03:51:30.000Z | [
"pytorch",
"bert",
"question-answering",
"lzh",
"dataset:universal_dependencies",
"transformers",
"classical chinese",
"literary chinese",
"ancient chinese",
"dependency-parsing",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | false | KoichiYasuoka | null | KoichiYasuoka/bert-ancient-chinese-base-ud-head | 19 | null | transformers | 8,678 | ---
language:
- "lzh"
tags:
- "classical chinese"
- "literary chinese"
- "ancient chinese"
- "question-answering"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "apache-2.0"
pipeline_tag: "question-answering"
widget:
- text: "穴"
context: "不入虎穴不得虎子"
- text: "子"
context: "不入虎穴不得虎子"
- text: "不"
... |
jonatasgrosman/exp_w2v2t_ja_wavlm_s729 | 34b1e881d63b949842c3f5292860b708ad1b48ca | 2022-07-08T16:56:04.000Z | [
"pytorch",
"wavlm",
"automatic-speech-recognition",
"ja",
"dataset:mozilla-foundation/common_voice_7_0",
"transformers",
"license:apache-2.0"
] | automatic-speech-recognition | false | jonatasgrosman | null | jonatasgrosman/exp_w2v2t_ja_wavlm_s729 | 19 | 1 | transformers | 8,679 | ---
language:
- ja
license: apache-2.0
tags:
- automatic-speech-recognition
- ja
datasets:
- mozilla-foundation/common_voice_7_0
---
# exp_w2v2t_ja_wavlm_s729
Fine-tuned [microsoft/wavlm-large](https://huggingface.co/microsoft/wavlm-large) for speech recognition using the train split of [Common Voice 7.0 (ja)](https:/... |
Dithya/Text_simplify | 46c6ddf32748ebc93783ee8f26bc39fb719c48d9 | 2022-07-10T14:56:10.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | Dithya | null | Dithya/Text_simplify | 19 | null | transformers | 8,680 | ---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# model
This model is a fine-tune... |
heoji/koelectra_senti_1 | cac8e255516046b39b8a0e656d05107b8f368abb | 2022-07-11T06:27:28.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers"
] | text-classification | false | heoji | null | heoji/koelectra_senti_1 | 19 | null | transformers | 8,681 | Entry not found |
Shaier/medqa_fine_tuned_generic_bert | 85b80c88a58f5039fced4993e02bafbc1091133b | 2022-07-12T20:33:17.000Z | [
"pytorch",
"bert",
"multiple-choice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | multiple-choice | false | Shaier | null | Shaier/medqa_fine_tuned_generic_bert | 19 | null | transformers | 8,682 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: medqa_fine_tuned_generic_bert
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 c... |
casasdorjunior/t5-small-finetuned-cc-news-es-titles | ed34c8ab22668164d6f00dc2d7e8e9ac8489debc | 2022-07-13T08:52:55.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:cc-news-es-titles",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | casasdorjunior | null | casasdorjunior/t5-small-finetuned-cc-news-es-titles | 19 | null | transformers | 8,683 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cc-news-es-titles
metrics:
- rouge
model-index:
- name: t5-small-finetuned-cc-news-es-titles
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: cc-news-es-titles
type: ... |
KeLiu/QETRA_JavaScript | 67060f63684f778d913985213046cfc1e6fb2f9b | 2022-07-13T14:33:25.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | KeLiu | null | KeLiu/QETRA_JavaScript | 19 | null | transformers | 8,684 | Entry not found |
nakamura196/trocr-small-hi | c29f5f6f73bcea19c20755c04546b42bd676d1e7 | 2022-07-15T19:35:38.000Z | [
"pytorch",
"vision-encoder-decoder",
"transformers"
] | null | false | nakamura196 | null | nakamura196/trocr-small-hi | 19 | null | transformers | 8,685 | Entry not found |
Team-PIXEL/pixel-base-finetuned-stsb | 42e8f936183c00950a09d09cfeb5bc23cf719332 | 2022-07-15T03:04:45.000Z | [
"pytorch",
"pixel",
"text-classification",
"en",
"dataset:glue",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | Team-PIXEL | null | Team-PIXEL/pixel-base-finetuned-stsb | 19 | null | transformers | 8,686 | ---
language:
- en
tags:
- generated_from_trainer
datasets:
- glue
model-index:
- name: pixel-base-finetuned-stsb
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. -->
... |
sagawa/t5-demo | 80e4a27faee00724c42b4d2c1c31287c1a08bc58 | 2022-07-16T10:06:08.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"chemistry",
"autotrain_compatible"
] | text2text-generation | false | sagawa | null | sagawa/t5-demo | 19 | null | transformers | 8,687 | ---
tags:
- chemistry
---
# Chemt5: t5 trained on ZINC data.
This is a demo of Chemt5. |
ipvikas/distilbert-base-uncased-finetuned-imdb | d1477d1bb61e6b02a5864e16a71de8b59f33efe6 | 2022-07-16T11:06:52.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"fill-mask",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | ipvikas | null | ipvikas/distilbert-base-uncased-finetuned-imdb | 19 | null | transformers | 8,688 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: distilbert-base-uncased-finetuned-imdb
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 ... |
pnr-svc/ConvBert-Sentiment-Analysis-Turkish | 44a653e655d3190de204856d36964c42f09a106d | 2022-07-20T21:37:09.000Z | [
"pytorch",
"convbert",
"text-classification",
"dataset:pnr-svc/Turkish-Multiclass-Dataset",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | pnr-svc | null | pnr-svc/ConvBert-Sentiment-Analysis-Turkish | 19 | null | transformers | 8,689 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- pnr-svc/Turkish-Multiclass-Dataset
metrics:
- accuracy
model-index:
- name: multi-class-classification
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: pnr-svc/Turkish-Multiclass-Dataset
... |
rsuwaileh/IDRISI-LMR-EN-timebased-typeless | 517eb71a8e48f9fc962c437db6f912256c717ae1 | 2022-07-20T14:59:47.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | rsuwaileh | null | rsuwaileh/IDRISI-LMR-EN-timebased-typeless | 19 | null | transformers | 8,690 | ---
license: apache-2.0
---
This model is a BERT-based Location Mention Recognition model that is adopted from the [TLLMR4CM GitHub](https://github.com/rsuwaileh/TLLMR4CM/). The model identifies the toponyms' spans in the text without predicting their location types.
The model is trained using the training splits of... |
pritoms/opt-350m-finetuned-stack | bcab1dd7e2ba9d897977460f0f24975402d71468 | 2022-07-18T11:14:18.000Z | [
"pytorch",
"tensorboard",
"opt",
"text-generation",
"transformers",
"generated_from_trainer",
"license:other",
"model-index"
] | text-generation | false | pritoms | null | pritoms/opt-350m-finetuned-stack | 19 | null | transformers | 8,691 | ---
license: other
tags:
- generated_from_trainer
model-index:
- name: opt-350m-finetuned-stack
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. -->
# opt-350m-finetu... |
ClassCat/roberta-small-greek | f311409a1f248c3b18a6b73b9de744fc35bedfe1 | 2022-07-21T11:01:55.000Z | [
"pytorch",
"roberta",
"fill-mask",
"el",
"dataset:cc100",
"dataset:oscar",
"dataset:wikipedia",
"transformers",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | fill-mask | false | ClassCat | null | ClassCat/roberta-small-greek | 19 | 1 | transformers | 8,692 | ---
language: el
license: cc-by-sa-4.0
datasets:
- cc100
- oscar
- wikipedia
widget:
- text: "Δεν την έχω <mask> ποτέ."
- text: "Έχει πολύ καιρό που δεν έχουμε <mask>."
- text: "Ευχαριστώ για το <mask> σου."
- text: "Αυτό είναι <mask>."
- text: "Ανοιξα <mask>."
- text: "Ευχαριστώ για <mask>."
- text: "Έχει πολύ καιρό π... |
nyorain/xtremedistil-l12-h384-uncased-natural-questions | ed706ec743a2c9607d9eb0b661f88c63a3f1b9b9 | 2022-07-22T21:31:38.000Z | [
"pytorch",
"bert",
"question-answering",
"en",
"transformers",
"license:mit",
"autotrain_compatible"
] | question-answering | false | nyorain | null | nyorain/xtremedistil-l12-h384-uncased-natural-questions | 19 | null | transformers | 8,693 | ---
language: en
tags:
- question-answering
license: mit
---
xtremedistil-l12-h384-uncased model trained on a subset of "Natural Questions Short".
Done for the "Deep Learning for Natural Language Processing" course at TU Darmstadt.
Group 69.
Squad metric:
- 'exact_match': 40.217
- 'f1': 62.3873 |
huggingtweets/vgdunkey-vgdunkeybot | 409603618ac868cf2b0006e7b0d3cca7e841a283 | 2022-07-23T21:18:37.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/vgdunkey-vgdunkeybot | 19 | null | transformers | 8,694 | ---
language: en
thumbnail: http://www.huggingtweets.com/vgdunkey-vgdunkeybot/1658611112335/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:... |
onon214/transformer-NLP | 6812c81f88d22b05b5eebfb3332b5589bbfaeb2b | 2022-07-24T09:41:22.000Z | [
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | fill-mask | false | onon214 | null | onon214/transformer-NLP | 19 | null | transformers | 8,695 | ---
tags:
- generated_from_trainer
model-index:
- name: transformer-NLP
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. -->
# transformer-NLP
This model is a fine-t... |
pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP9 | 9639384a87c117aaf66717d2465d7e8a1be74b1c | 2022-07-28T11:28:05.000Z | [
"pytorch",
"longt5",
"text2text-generation",
"dataset:kmfoda/booksum",
"transformers",
"summarization",
"summary",
"booksum",
"long-document",
"long-form",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | pszemraj | null | pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP9 | 19 | null | transformers | 8,696 | ---
tags:
- summarization
- summary
- booksum
- long-document
- long-form
license: apache-2.0
datasets:
- kmfoda/booksum
metrics:
- rouge
inference: false
model-index:
- name: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP9
results:
- task:
type: summarization
name: Summarization
dataset... |
dminiotas05/distilbert-base-uncased-finetuned-ft750_reg1 | c0a35062be873c1bb645d854a032cd8dfbadf08f | 2022-07-27T09:38:21.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | dminiotas05 | null | dminiotas05/distilbert-base-uncased-finetuned-ft750_reg1 | 19 | null | transformers | 8,697 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-ft750_reg1
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... |
korca/roberta-base-lkm | 0ad1f72d82eccc9fefb56ada727a34b3ddf18376 | 2022-07-28T18:56:28.000Z | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | korca | null | korca/roberta-base-lkm | 19 | null | transformers | 8,698 | Entry not found |
AccurateIsaiah/DialoGPT-small-mozarkv2 | d3fa28c051bb64abb44690bdaa44d11321cd43b3 | 2021-11-23T21:49:48.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | AccurateIsaiah | null | AccurateIsaiah/DialoGPT-small-mozarkv2 | 18 | null | transformers | 8,699 | ---
tags:
- conversational
---
# Mozark's Brain Uploaded to Hugging Face but v2 |
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