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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
LACAI/DialoGPT-large-PFG | 46a5452c74c1e428718a9c7dc6e87846c42f9aa8 | 2022-01-14T05:18:30.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | LACAI | null | LACAI/DialoGPT-large-PFG | 43 | null | transformers | 6,300 | Base model: [microsoft/DialoGPT-large](https://huggingface.co/microsoft/DialoGPT-large)
Fine tuned for dialogue response generation on the [Persuasion For Good Dataset](https://gitlab.com/ucdavisnlp/persuasionforgood) (Wang et al., 2019)
Three additional special tokens were added during the fine-tuning process:
- <|... |
liangtaiwan/t5-v1_1-lm100k-small | bb7e8b7bc8cecfd21dbaf6be7b9834b38961b154 | 2021-10-21T09:28:54.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | liangtaiwan | null | liangtaiwan/t5-v1_1-lm100k-small | 43 | 1 | transformers | 6,301 | Entry not found |
mnaylor/bigbird-base-mimic-mortality | eb2f5ed4f3932e9bfd866e63c4bd47e2ed52fa55 | 2021-05-14T15:32:04.000Z | [
"pytorch",
"big_bird",
"text-classification",
"transformers"
] | text-classification | false | mnaylor | null | mnaylor/bigbird-base-mimic-mortality | 43 | null | transformers | 6,302 | # BigBird for Mortality Prediction
Starting with Google's base BigBird model, we fine-tuned on binary mortality prediction in MIMIC admission notes. This
model seeks to predict whether a certain patient will expire within a given ICU stay, based on the text available upon
admission. Data prepared for this task as de... |
pere/norwegian-gptneo-blue | b3c5b7a2787debcf0a0aeda5885c637f33a689da | 2021-09-25T18:42:49.000Z | [
"pytorch",
"jax",
"tensorboard",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | false | pere | null | pere/norwegian-gptneo-blue | 43 | null | transformers | 6,303 | # Norwegian GTPNeo Blue.
The first Norwegian GPTNeo model. This one is trained only on a administrative corpus. |
persiannlp/mt5-base-parsinlu-snli-entailment | 3ebac7c8f04554b3d8e37e9605e4ee93c5c01b0d | 2021-09-23T16:20:04.000Z | [
"pytorch",
"t5",
"text2text-generation",
"fa",
"multilingual",
"dataset:parsinlu",
"dataset:snli",
"transformers",
"entailment",
"mt5",
"persian",
"farsi",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible"
] | text2text-generation | false | persiannlp | null | persiannlp/mt5-base-parsinlu-snli-entailment | 43 | null | transformers | 6,304 | ---
language:
- fa
- multilingual
thumbnail: https://upload.wikimedia.org/wikipedia/commons/a/a2/Farsi.svg
tags:
- entailment
- mt5
- persian
- farsi
license: cc-by-nc-sa-4.0
datasets:
- parsinlu
- snli
metrics:
- accuracy
---
# Textual Entailment (مدل برای پاسخ به استلزام منطقی)
This is a model for textual entailmen... |
pgilles/wav2vec2-large-xls-r-LUXEMBOURGISH-with-LM | bfe868ff4e83f86e61b4b1aec03edd743725f86e | 2022-05-21T06:06:51.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"lb",
"ltz",
"dataset:Wav2Vec2-XLS-R-300M",
"transformers",
"ASR",
"Automatic Speech Recognition",
"speech",
"license:mit"
] | automatic-speech-recognition | false | pgilles | null | pgilles/wav2vec2-large-xls-r-LUXEMBOURGISH-with-LM | 43 | 2 | transformers | 6,305 | ---
language:
- lb
- ltz
#thumbnail: "url to a thumbnail used in social sharing"
tags:
- ASR
- Automatic Speech Recognition
- speech
- wav2vec2
license: "mit"
datasets:
- "Wav2Vec2-XLS-R-300M"
---
Based on `pgilles/wav2vec2-large-xls-r-LUXEMBOURGISH2`, but with a language model (kenLM) attached. |
philschmid/deberta-v3-xsmall-emotion | 05fe5d586994d0c5260f22082df3a451cc910692 | 2021-12-16T12:37:10.000Z | [
"pytorch",
"deberta-v2",
"text-classification",
"dataset:emotion",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | philschmid | null | philschmid/deberta-v3-xsmall-emotion | 43 | null | transformers | 6,306 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: deberta-v3-xsmall-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
- name: Ac... |
shiyue/roberta-large-tac08 | 7d2803d4bd14f97ec600f5a05103ada6ff6317bd | 2021-09-10T00:48:57.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | shiyue | null | shiyue/roberta-large-tac08 | 43 | null | transformers | 6,307 | Entry not found |
sshleifer/student-bart-base-3-3 | 7784495cf212708c19bb8c1356ff4dd3bc42f4c2 | 2021-06-14T08:27:02.000Z | [
"pytorch",
"jax",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | sshleifer | null | sshleifer/student-bart-base-3-3 | 43 | null | transformers | 6,308 | Entry not found |
textattack/facebook-bart-large-CoLA | fabf4bf22ad542d9b8e03737c9d8a1f08422f207 | 2020-06-09T16:49:04.000Z | [
"pytorch",
"bart",
"text-classification",
"transformers"
] | text-classification | false | textattack | null | textattack/facebook-bart-large-CoLA | 43 | null | transformers | 6,309 | Entry not found |
tuscan-chicken-wrap/semeval2020_task11_si | ccc6a2e72c3ccfb76f9c99b2591b2a4f79e0ddea | 2021-05-20T22:43:34.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | tuscan-chicken-wrap | null | tuscan-chicken-wrap/semeval2020_task11_si | 43 | null | transformers | 6,310 | Entry not found |
voidful/albert_chinese_xlarge | 86cad9859449049d00b3e3683c609b977a388a72 | 2021-08-03T05:07:18.000Z | [
"pytorch",
"albert",
"fill-mask",
"zh",
"transformers",
"autotrain_compatible"
] | fill-mask | false | voidful | null | voidful/albert_chinese_xlarge | 43 | null | transformers | 6,311 | ---
language: zh
pipeline_tag: fill-mask
widget:
- text: "今天[MASK]情很好"
---
# albert_chinese_xlarge
This a albert_chinese_xlarge model from [Google's github](https://github.com/google-research/ALBERT)
converted by huggingface's [script](https://github.com/huggingface/transformers/blob/master/src/transformers/conver... |
Helsinki-NLP/opus-mt-tc-big-zlw-en | 46e1b8d81343043173f17ebbaf93a8a3d4374fea | 2022-06-01T13:13:16.000Z | [
"pytorch",
"marian",
"text2text-generation",
"cs",
"dsb",
"en",
"hsb",
"pl",
"zlw",
"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-zlw-en | 43 | null | transformers | 6,312 | ---
language:
- cs
- dsb
- en
- hsb
- pl
- zlw
tags:
- translation
- opus-mt-tc
license: cc-by-4.0
model-index:
- name: opus-mt-tc-big-zlw-en
results:
- task:
name: Translation ces-eng
type: translation
args: ces-eng
dataset:
name: flores101-devtest
type: flores_101
args: ces... |
emilylearning/cond_ft_birth_place_on_wiki_bio__prcnt_100__test_run_False | 70c4bad3c2ce04b2fc8f5de28e0697013a88792d | 2022-05-12T22:28:01.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | emilylearning | null | emilylearning/cond_ft_birth_place_on_wiki_bio__prcnt_100__test_run_False | 43 | null | transformers | 6,313 | Entry not found |
BigSalmon/InformalToFormalLincoln45 | 5ec42041c5163c5dc82e9fc555bcf2405f0c59b8 | 2022-05-18T20:03:28.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | BigSalmon | null | BigSalmon/InformalToFormalLincoln45 | 43 | null | transformers | 6,314 | ```
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("BigSalmon/InformalToFormalLincoln45")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/InformalToFormalLincoln45")
```
```
How To Make Prompt:
informal english: i am very ready to do that just that.
Tra... |
wannaphong/Roman2Thai-transliterator | df06e6e4a116ea2687b53b867234a06848c4cf66 | 2022-06-26T15:02:19.000Z | [
"pytorch",
"marian",
"text2text-generation",
"dataset:thai2rom-v2",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | wannaphong | null | wannaphong/Roman2Thai-transliterator | 43 | null | transformers | 6,315 | ---
tags:
- translation
license: apache-2.0
datasets:
- thai2rom-v2
metrics:
- cer
widget:
- text: "maiphai"
---
# Roman-Thai Transliterator by Transformer Models
GitHub: https://github.com/wannaphong/thai2rom-v2/tree/main/roman2thai-transformer |
RUCAIBox/mvp-open-dialog | 24e8fb986592304c62668dbb90297d820bf9b24c | 2022-06-27T02:28:00.000Z | [
"pytorch",
"mvp",
"en",
"arxiv:2206.12131",
"transformers",
"text-generation",
"text2text-generation",
"conversational",
"license:apache-2.0"
] | text2text-generation | false | RUCAIBox | null | RUCAIBox/mvp-open-dialog | 43 | 1 | transformers | 6,316 | ---
license: apache-2.0
language:
- en
tags:
- text-generation
- text2text-generation
- conversational
pipeline_tag: text2text-generation
widget:
- text: "Given the dialog: do you like dance? [SEP] Yes I do. Did you know Bruce Lee was a cha cha dancer?"
example_title: "Example1"
- text: "Given the dialog: i used to s... |
victorlee071200/bert-base-cased-finetuned-squad | cfc56fa4d71a2229ed446e0d74a7e7a63c687d3e | 2022-06-09T06:28:47.000Z | [
"pytorch",
"bert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | victorlee071200 | null | victorlee071200/bert-base-cased-finetuned-squad | 43 | null | transformers | 6,317 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: bert-base-cased-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 c... |
yanekyuk/berturk-uncased-keyword-extractor | 2a4297127e9b1909bf240028bc2473f3b093f572 | 2022-06-06T17:09:28.000Z | [
"pytorch",
"bert",
"token-classification",
"tr",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | token-classification | false | yanekyuk | null | yanekyuk/berturk-uncased-keyword-extractor | 43 | null | transformers | 6,318 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- accuracy
- f1
language:
- tr
widget:
- text: "İngiltere'de düzenlenen Avrupa Tekvando ve Para Tekvando Şampiyonası’nda millî tekvandocular 5 altın, 2 gümüş ve 4 bronz olmak üzere 11, millî para tekvandocular ise 4 altın, 3 gümüş ve 1 bronz ... |
AnyaSchen/rugpt3_mayakovskij | 4b63fe666d353ccfb5e73b9eae90a5abcd169763 | 2022-06-15T11:18:15.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | AnyaSchen | null | AnyaSchen/rugpt3_mayakovskij | 43 | null | transformers | 6,319 |
This model was created as a fine-tuned GPT-3 medium model, which is tuned to the style of Mayakovsky's poetry in Russian. You can give her a word, a phrase, or just an empty line as an input, and she will give out a poem in the style of Mayakovsky.
![alt text](https://lh4.googleusercontent.com/PCDVFfjgy-76wZtVQiWYwgB... |
Maxbnza/country-recognition | 246f60afa914121ffcd824d4e6a421d5443604b1 | 2022-06-30T16:03:34.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"unk",
"dataset:Maxbnza/autotrain-data-address-training",
"transformers",
"autotrain",
"co2_eq_emissions"
] | text-classification | false | Maxbnza | null | Maxbnza/country-recognition | 43 | 1 | transformers | 6,320 | ---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- Maxbnza/autotrain-data-address-training
co2_eq_emissions: 141.11976199388627
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 1062136864
- CO2 Emissions (in grams): 141.11976199388627
## Vali... |
bigscience/bloom-176-intermediate | 7258df6c654ebc02378dcf92d5060c9b077a55bc | 2022-07-11T16:47:42.000Z | [
"pytorch",
"bloom",
"ak",
"ar",
"as",
"bm",
"bn",
"ca",
"code",
"en",
"es",
"eu",
"fon",
"fr",
"gu",
"hi",
"id",
"ig",
"ki",
"kn",
"lg",
"ln",
"ml",
"mr",
"ne",
"nso",
"ny",
"or",
"pa",
"pt",
"rn",
"rw",
"sn",
"st",
"sw",
"ta",
"te",
"tn",
... | null | false | bigscience | null | bigscience/bloom-176-intermediate | 43 | null | transformers | 6,321 | ---
license: bigscience-bloom-rail-1.0
language:
- ak
- ar
- as
- bm
- bn
- ca
- code
- en
- es
- eu
- fon
- fr
- gu
- hi
- id
- ig
- ki
- kn
- lg
- ln
- ml
- mr
- ne
- nso
- ny
- or
- pa
- pt
- rn
- rw
- sn
- st
- sw
- ta
- te
- tn
- ts
- tum
- tw
- ur
- vi
- wo
- xh
- yo
- zh
- zhs
- zht
- zu
---
# <span style="colo... |
amanbawa96/roberta_Aman | bff9ecb4654c84e62028f5ea0a1b7ba40c5eece8 | 2022-07-05T20:00:33.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | amanbawa96 | null | amanbawa96/roberta_Aman | 43 | null | transformers | 6,322 | Entry not found |
ryo0634/luke-base-comp-20181220 | 6cf7a55c09f07ebf0d5d7b4185a4c89516edd000 | 2022-07-08T04:09:52.000Z | [
"pytorch",
"luke",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | ryo0634 | null | ryo0634/luke-base-comp-20181220 | 43 | null | transformers | 6,323 | Entry not found |
Samlit/rare-puppers3 | 95b0f560e86f5642b4693a78f4e912ecd83416ec | 2022-07-14T15:39:40.000Z | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index"
] | image-classification | false | Samlit | null | Samlit/rare-puppers3 | 43 | null | transformers | 6,324 | ---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy
model-index:
- name: rare-puppers3
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy
type: accuracy
value: 1.0
---
# rare-puppers3
Autogenerated by Hu... |
brjezierski/bert-to-gpt2-german-to-easy-german-2 | e7bba8da8a492eb221f83d1cbad7185eb0c3e5d5 | 2022-07-24T11:21:11.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | brjezierski | null | brjezierski/bert-to-gpt2-german-to-easy-german-2 | 43 | null | transformers | 6,325 | Entry not found |
AI-Lab-Makerere/lg_en | 49f3c2ae6fd12733f777c06f24db4fb4506cd750 | 2022-06-28T08:39:16.000Z | [
"pytorch",
"marian",
"text2text-generation",
"unk",
"dataset:EricPeter/autonlp-data-MarianMT_lg_en",
"transformers",
"autonlp",
"co2_eq_emissions",
"autotrain_compatible"
] | text2text-generation | false | AI-Lab-Makerere | null | AI-Lab-Makerere/lg_en | 42 | 1 | transformers | 6,326 | ---
tags: autonlp
language: unk
widget:
- text: "I love AutoNLP 🤗"
datasets:
- EricPeter/autonlp-data-MarianMT_lg_en
co2_eq_emissions: 126.34446293851818
---
# Model Trained Using AutoNLP
- Problem type: Machine Translation
- Model ID: 475112539
- CO2 Emissions (in grams): 126.34446293851818
## Validation Metrics
... |
Helsinki-NLP/opus-mt-en-is | ad5c0ed5c4458c8a687bda683ca5b5a4ccd39814 | 2021-09-09T21:36:19.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"is",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-is | 42 | null | transformers | 6,327 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-is
* source languages: en
* target languages: is
* OPUS readme: [en-is](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-is/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-es-uk | b32809fe6726fef738108a3c1796ae1096460b9f | 2021-01-18T08:29:39.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"uk",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-uk | 42 | null | transformers | 6,328 | ---
language:
- es
- uk
tags:
- translation
license: apache-2.0
---
### spa-ukr
* source group: Spanish
* target group: Ukrainian
* OPUS readme: [spa-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-ukr/README.md)
* model: transformer-align
* source language(s): spa
* target langu... |
Helsinki-NLP/opus-mt-sv-fr | 232bc81ec9c58ac63268051775a58f71e1cb5ba9 | 2021-09-10T14:06:31.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-fr | 42 | null | transformers | 6,329 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-sv-fr
* source languages: sv
* target languages: fr
* OPUS readme: [sv-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
Helsinki-NLP/opus-mt-sv-no | 720a49c2c10392a0b5ef10f78a39ebcfd7f1839d | 2020-08-21T14:42:50.000Z | [
"pytorch",
"marian",
"text2text-generation",
"sv",
"no",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-sv-no | 42 | null | transformers | 6,330 | ---
language:
- sv
- no
tags:
- translation
license: apache-2.0
---
### swe-nor
* source group: Swedish
* target group: Norwegian
* OPUS readme: [swe-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/swe-nor/README.md)
* model: transformer-align
* source language(s): swe
* target langu... |
Luciano/bert-base-portuguese-cased-finetuned-tcu-acordaos | 64c307200bdada3f7f33c9b98254559699f48410 | 2022-02-18T10:22:19.000Z | [
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"pt",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | fill-mask | false | Luciano | null | Luciano/bert-base-portuguese-cased-finetuned-tcu-acordaos | 42 | null | transformers | 6,331 | ---
language:
- pt
license: mit
tags:
- generated_from_trainer
model-index:
- name: bert-base-portuguese-cased-finetuned-tcu-acordaos
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 remo... |
Rajaram1996/Hubert_emotion | 7c15f7861bfecd2f6cccd421bb77b07991290246 | 2021-11-03T22:07:05.000Z | [
"pytorch",
"hubert",
"transformers",
"speech",
"audio",
"HUBert",
"audio-classification"
] | audio-classification | false | Rajaram1996 | null | Rajaram1996/Hubert_emotion | 42 | null | transformers | 6,332 | ---
inference: true
pipeline_tag: audio-classification
tags:
- speech
- audio
- HUBert
---
A place to hold the model for easier inference. |
anuragshas/wav2vec2-large-xlsr-53-rm-vallader | 191c8fcc76c91a5ffc213b89f41ba1d9cc3811a5 | 2021-07-05T21:21:11.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"rm-vallader",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | anuragshas | null | anuragshas/wav2vec2-large-xlsr-53-rm-vallader | 42 | null | transformers | 6,333 | ---
language: rm-vallader
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Anurag Singh XLSR Wav2Vec2 Large 53 Romansh Vallader
results:
- task:
name: Speech Recognition
type: automatic-speech... |
csarron/roberta-large-squad-v1 | bd58492f1067002a99a598c526fbeb3e3b6ab983 | 2021-05-20T15:51:59.000Z | [
"pytorch",
"jax",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | csarron | null | csarron/roberta-large-squad-v1 | 42 | null | transformers | 6,334 | Entry not found |
edugp/wav2vec2-xls-r-300m-cv8-es | cc83c8946fdd2e61eb778261b132866c069f00b8 | 2022-02-08T08:57:24.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | edugp | null | edugp/wav2vec2-xls-r-300m-cv8-es | 42 | null | transformers | 6,335 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-xls-r-300m-cv8-es
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this... |
entelecheia/ekonelectra-base-discriminator | 539e39d62f98f62ed431df524aa9a5f4f629b38a | 2021-05-04T09:05:45.000Z | [
"pytorch",
"electra",
"pretraining",
"transformers"
] | null | false | entelecheia | null | entelecheia/ekonelectra-base-discriminator | 42 | null | transformers | 6,336 | Entry not found |
gchhablani/bert-base-cased-finetuned-qnli | e6c6176e551e137fbc6ab174ebd06f12215dbe1f | 2021-09-20T09:08:27.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"en",
"dataset:glue",
"arxiv:2105.03824",
"transformers",
"generated_from_trainer",
"fnet-bert-base-comparison",
"license:apache-2.0",
"model-index"
] | text-classification | false | gchhablani | null | gchhablani/bert-base-cased-finetuned-qnli | 42 | 1 | transformers | 6,337 | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
- fnet-bert-base-comparison
datasets:
- glue
metrics:
- accuracy
model-index:
- name: bert-base-cased-finetuned-qnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE QNLI
type: g... |
huggingtweets/mechanical_monk | d5cbe44b20fe5fd741f611d743a836b3558de11e | 2021-05-22T14:04:31.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/mechanical_monk | 42 | null | transformers | 6,338 | ---
language: en
thumbnail: https://www.huggingtweets.com/mechanical_monk/1616856045639/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/137435320... |
jaron-maene/gpt2-large-nl2bash | fd0ec759fc27149277f07d40ed04bdb16aaf625d | 2021-05-23T05:38:26.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | jaron-maene | null | jaron-maene/gpt2-large-nl2bash | 42 | null | transformers | 6,339 | Entry not found |
LACAI/gpt2-xl-dialog-narrative-persuasion | a862a1de73a001485a4ae5ab85d6b2161b497f62 | 2021-12-21T17:22:02.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | LACAI | null | LACAI/gpt2-xl-dialog-narrative-persuasion | 42 | null | transformers | 6,340 | Base model: [gpt2-xl](https://huggingface.co/gpt2-xl)
Domain-adapted for dialogue response and narrative generation on a [narrative-aligned variant](https://github.com/AbrahamSanders/gutenberg-dialog#download-narrative-aligned-datasets) of the [Gutenberg Dialogue Dataset (Csaky & Recski, 2021)](https://aclanthology.... |
laifuchicago/farm2tran | cfb9974f8df2bca9eb17da76d1cda393aa217aad | 2020-09-16T01:15:14.000Z | [
"pytorch",
"xlm-roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | laifuchicago | null | laifuchicago/farm2tran | 42 | null | transformers | 6,341 | Entry not found |
marefa-nlp/summarization-arabic-english-news | 161ce90f31a0f04358ad2af002e80a52aa8b8bac | 2021-07-13T13:06:31.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | marefa-nlp | null | marefa-nlp/summarization-arabic-english-news | 42 | null | transformers | 6,342 | ------------
## Arabic and English News Summarization NLP Model
### About
This model is for summarizing news stories in short highlights for both Arabic and English tasks.
نموذج معرفي متخصص في تلخيص الأخبار العربية و الإنجليزية الى مجموعة من أهم النقاط
### Fine-Tuning
The model was finetuned using the [Arabic T5 M... |
monologg/kocharelectra-base-modu-ner-all | 1088b83a351982fea13e933b3d7100c452e31707 | 2020-12-08T17:56:17.000Z | [
"pytorch",
"electra",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | monologg | null | monologg/kocharelectra-base-modu-ner-all | 42 | null | transformers | 6,343 | Entry not found |
monologg/koelectra-small-finetuned-intent-cls | 0ba20de0556ea6b18b554d6e33a91e18fda5390b | 2020-05-15T08:20:13.000Z | [
"pytorch",
"electra",
"text-classification",
"transformers"
] | text-classification | false | monologg | null | monologg/koelectra-small-finetuned-intent-cls | 42 | null | transformers | 6,344 | Entry not found |
mrm8488/chEMBL26_smiles_v2 | 99b195df7fc93ec93da38e37bc1cbd08ddf61fb6 | 2021-05-20T18:16:29.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"en",
"transformers",
"drugs",
"chemist",
"drug design",
"smile",
"autotrain_compatible"
] | fill-mask | false | mrm8488 | null | mrm8488/chEMBL26_smiles_v2 | 42 | null | transformers | 6,345 | ---
language: en
tags:
- drugs
- chemist
- drug design
- smile
widget:
- text: "CC(C)CN(CC(OP(=O)(O)O)C(Cc1ccccc1)NC(=O)OC1CCOC1)S(=O)(=O)c1ccc(N)<mask>"
---
|
nateraw/resnet50-oxford-iiit-pet | 0d14c5c8bd77492862ba2544cffba581ea8ee2ea | 2021-12-03T06:59:13.000Z | [
"pytorch",
"timm",
"image-classification"
] | image-classification | false | nateraw | null | nateraw/resnet50-oxford-iiit-pet | 42 | null | timm | 6,346 | ---
tags:
- image-classification
- timm
library_tag: timm
---
# Model card for resnet50-oxford-iiit-pet
 |
nlpaueb/bert-base-uncased-echr | f89563b2afe4cf9db700bed1e31c481e4ddb09c5 | 2022-04-28T14:44:26.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"en",
"transformers",
"legal",
"license:cc-by-sa-4.0",
"fill-mask"
] | fill-mask | false | nlpaueb | null | nlpaueb/bert-base-uncased-echr | 42 | 3 | transformers | 6,347 | ---
language: en
pipeline_tag: fill-mask
license: cc-by-sa-4.0
thumbnail: https://i.ibb.co/p3kQ7Rw/Screenshot-2020-10-06-at-12-16-36-PM.png
tags:
- legal
widget:
- text: "The applicant submitted that her husband was subjected to treatment amounting to [MASK] whilst in the custody of Adana Security Directorate."
---
# ... |
pablouribe/beto-copus-supercategories-overfitted | c6cf4147327975d9f198616ecb7bd9e1f7d80cd2 | 2022-01-18T16:18:23.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | pablouribe | null | pablouribe/beto-copus-supercategories-overfitted | 42 | null | transformers | 6,348 | Entry not found |
prajjwal1/bert-small-mnli | 6aae77bde3e3b87fa9e16a1aa52b56fb07bbd83e | 2021-10-05T17:57:54.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"arxiv:1908.08962",
"arxiv:2110.01518",
"transformers"
] | text-classification | false | prajjwal1 | null | prajjwal1/bert-small-mnli | 42 | null | transformers | 6,349 | The following model is a Pytorch pre-trained model obtained from converting Tensorflow checkpoint found in the [official Google BERT repository](https://github.com/google-research/bert). These BERT variants were introduced in the paper [Well-Read Students Learn Better: On the Importance of Pre-training Compact Models](... |
valhalla/distilt5-qa-qg-hl-6-4 | 44f28f3eb4d95ef8f7cee1318c61f70ad71d3ed0 | 2021-09-23T16:42:47.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"dataset:squad",
"transformers",
"question-generation",
"distilt5",
"distilt5-qg",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | valhalla | null | valhalla/distilt5-qa-qg-hl-6-4 | 42 | null | transformers | 6,350 | ---
datasets:
- squad
tags:
- question-generation
- distilt5
- distilt5-qg
widget:
- text: 'generate question: <hl> 42 <hl> is the answer to life, the universe and everything.
</s>'
- text: 'question: What is 42 context: 42 is the answer to life, the universe and
everything. </s>'
license: mit
---
## DistilT5 ... |
QuickRead/pegasus-reddit | a6b6c7648536c851f385a8e8819bca95eabc7a2b | 2022-02-26T16:57:46.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"dataset:reddit",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | QuickRead | null | QuickRead/pegasus-reddit | 42 | null | transformers | 6,351 | ---
tags:
- generated_from_trainer
datasets:
- reddit
metrics:
- rouge
model-index:
- name: pegasus-reddit
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: reddit
type: reddit
args: default
metrics:
- name: Rouge1
... |
bookbot/distil-wav2vec2-xls-r-adult-child-cls-89m | fd1675d47e72272002c0df18ab629aa9422cb968 | 2022-02-26T13:50:18.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"audio-classification",
"en",
"arxiv:2111.09296",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | audio-classification | false | bookbot | null | bookbot/distil-wav2vec2-xls-r-adult-child-cls-89m | 42 | null | transformers | 6,352 | ---
language: en
license: apache-2.0
tags:
- audio-classification
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distil-wav2vec2-xls-r-adult-child-cls-89m
results: []
---
# DistilWav2Vec2 XLS-R Adult/Child Speech Classifier 89M
DistilWav2Vec2 XLS-R Adult/Child Speech Classifier i... |
zhiweitong/rag-sequence-base-qg | e9accdf02427ad2650a97f51ddd96426e2711380 | 2022-03-22T03:03:03.000Z | [
"pytorch",
"rag",
"transformers"
] | null | false | zhiweitong | null | zhiweitong/rag-sequence-base-qg | 42 | null | transformers | 6,353 | Entry not found |
tae898/emoberta-large | 8934b68e8b0d9fc3cd961cc7e7605533c7081e59 | 2022-03-16T11:01:48.000Z | [
"pytorch",
"roberta",
"text-classification",
"en",
"dataset:MELD",
"dataset:IEMOCAP",
"arxiv:2108.12009",
"transformers",
"emoberta",
"license:mit"
] | text-classification | false | tae898 | null | tae898/emoberta-large | 42 | 4 | transformers | 6,354 | ---
language: en
tags:
- emoberta
- roberta
license: mit
datasets:
- MELD
- IEMOCAP
---
Check https://github.com/tae898/erc for the details
[Watch a demo video!](https://youtu.be/qbr7fNd6J28)
# Emotion Recognition in Coversation (ERC)
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/... |
oliverguhr/fullstop-dutch-punctuation-prediction | 381031ecce1efe9f82955100e60a8348a19dd4b7 | 2022-03-30T12:32:44.000Z | [
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"nl",
"dataset:wmt/europarl",
"transformers",
"punctuation prediction",
"punctuation",
"license:mit",
"autotrain_compatible"
] | token-classification | false | oliverguhr | null | oliverguhr/fullstop-dutch-punctuation-prediction | 42 | 1 | transformers | 6,355 | ---
language:
- nl
tags:
- punctuation prediction
- punctuation
datasets: wmt/europarl
license: mit
widget:
- text: "hervatting van de zitting ik verklaar de zitting van het europees parlement die op vrijdag 17 december werd onderbroken te zijn hervat"
example_title: "Euro Parl"
metrics:
- f1
---
## P... |
vumichien/sequence-classification-bigbird-roberta-base | 640c0ce5dbd56ee1f6dc7e1f4d6bfd85214cb031 | 2022-03-25T05:36:45.000Z | [
"pytorch",
"big_bird",
"text-classification",
"transformers"
] | text-classification | false | vumichien | null | vumichien/sequence-classification-bigbird-roberta-base | 42 | null | transformers | 6,356 | Entry not found |
QuanjieHan/resume_ner_1 | 22c5a37c12529bc9f58fae8713cb8ec893b1f328 | 2022-04-06T02:40:28.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"license:other",
"autotrain_compatible"
] | token-classification | false | QuanjieHan | null | QuanjieHan/resume_ner_1 | 42 | null | transformers | 6,357 | ---
license: other
---
|
Helsinki-NLP/opus-mt-tc-big-en-cat_oci_spa | 043fdefef8a0cce8ea652e0266cc1aa578385d10 | 2022-06-01T12:59:04.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ca",
"en",
"es",
"oc",
"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-en-cat_oci_spa | 42 | 1 | transformers | 6,358 | ---
language:
- ca
- en
- es
- oc
tags:
- translation
- opus-mt-tc
license: cc-by-4.0
model-index:
- name: opus-mt-tc-big-en-cat_oci_spa
results:
- task:
name: Translation eng-cat
type: translation
args: eng-cat
dataset:
name: flores101-devtest
type: flores_101
args: eng cat ... |
UT/BMW | 9b24861b1dc5ad9e90730f57687a49f44ad91290 | 2022-04-19T13:50:58.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | UT | null | UT/BMW | 42 | null | transformers | 6,359 | Entry not found |
Hate-speech-CNERG/urdu-abusive-MuRIL | 88c6bf8813ee8c89cd30aabc2e07a52c70ea3c5e | 2022-05-03T08:43:53.000Z | [
"pytorch",
"bert",
"text-classification",
"ur",
"arxiv:2204.12543",
"transformers",
"license:afl-3.0"
] | text-classification | false | Hate-speech-CNERG | null | Hate-speech-CNERG/urdu-abusive-MuRIL | 42 | null | transformers | 6,360 | ---
language: ur
license: afl-3.0
---
This model is used to detect **abusive speech** in **Urdu**. It is finetuned on MuRIL model using Urdu abusive speech dataset.
The model is trained with learning rates of 2e-5. Training code can be found at this [url](https://github.com/hate-alert/IndicAbusive)
LABEL_0 :-> Normal... |
Hate-speech-CNERG/english-abusive-MuRIL | 42738fee859c9f9278f0465e27667f4a29220c7f | 2022-05-03T06:06:23.000Z | [
"pytorch",
"bert",
"text-classification",
"en",
"arxiv:2204.12543",
"transformers",
"license:afl-3.0"
] | text-classification | false | Hate-speech-CNERG | null | Hate-speech-CNERG/english-abusive-MuRIL | 42 | null | transformers | 6,361 | ---
language: en
license: afl-3.0
---
This model is used detecting **abusive speech** in **English**. It is finetuned on MuRIL model using English abusive speech dataset.
The model is trained with learning rates of 2e-5. Training code can be found at this [url](https://github.com/hate-alert/IndicAbusive)
LABEL_0 :-> ... |
JacopoBandoni/BioBertRelationGenesDiseases | d1c10f54484629e37c99c377dfcd6924266126fd | 2022-05-09T09:47:10.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers",
"license:afl-3.0"
] | text-classification | false | JacopoBandoni | null | JacopoBandoni/BioBertRelationGenesDiseases | 42 | null | transformers | 6,362 | ---
license: afl-3.0
widget:
- text: "The case of a 72-year-old male with @DISEASE$ with poor insulin control (fasting hyperglycemia greater than 180 mg/dl) who had a long-standing polyuric syndrome is here presented. Hypernatremia and plasma osmolality elevated together with a low urinary osmolality led to the suspici... |
Elfsong/ArtQuest | 2ab7e3bafd67e72be6f42de59b9a0129b7e0717e | 2022-05-11T07:05:24.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Elfsong | null | Elfsong/ArtQuest | 42 | 1 | transformers | 6,363 | Entry not found |
CogComp/ZeroShotWiki | 0b85bb83cf94d5b79093c02b75455c293f3650ad | 2022-05-14T04:00:26.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers",
"license:apache-2.0"
] | text-classification | false | CogComp | null | CogComp/ZeroShotWiki | 42 | null | transformers | 6,364 | ---
license: apache-2.0
---
# Model description
A BertForSequenceClassification model that is finetuned on Wikipedia for zero-shot text classification. For details, see our NAACL'22 paper.
# Usage
Concatenate the text sentence with each of the candidate labels as input to the model. The model will output a score ... |
RuiqianLi/wav2vec2-large-xls-r-300m-chinese-taiwan-colab | ab3ca4ddaafcaa90d09c4609b847edcc300abc94 | 2022-06-06T08:12:49.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | RuiqianLi | null | RuiqianLi/wav2vec2-large-xls-r-300m-chinese-taiwan-colab | 42 | null | transformers | 6,365 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-chinese-taiwan-colab
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete ... |
mossaic-candle/adaptive-lm-molecules | 8023fdca93e68d74d9041331076ee02589a407df | 2022-05-23T17:13:09.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | mossaic-candle | null | mossaic-candle/adaptive-lm-molecules | 42 | null | transformers | 6,366 | Entry not found |
jkhan447/sarcasm-detection-RoBerta-base | 85b90e782f90e0359fa9f3ca1b3f2f0299cf3038 | 2022-05-30T09:24:12.000Z | [
"pytorch",
"tensorboard",
"roberta",
"text-classification",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-classification | false | jkhan447 | null | jkhan447/sarcasm-detection-RoBerta-base | 42 | null | transformers | 6,367 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sarcasm-detection-RoBerta-base
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... |
Clody0071/distilbert-base-multilingual-cased-finetuned-similarite | 54924203865f3dfa4d6ad0a9273b691bcbc22103 | 2022-06-10T15:25:52.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:pawsx",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | Clody0071 | null | Clody0071/distilbert-base-multilingual-cased-finetuned-similarite | 42 | null | transformers | 6,368 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- pawsx
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-multilingual-cased-finetuned-similarite
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: pawsx
type: pawsx
args:... |
gary109/wikitext_roberta-base | b067546c8e196f268b520bee94175bb823595f46 | 2022-06-17T06:44:42.000Z | [
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"dataset:wikitext",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | fill-mask | false | gary109 | null | gary109/wikitext_roberta-base | 42 | null | transformers | 6,369 | ---
license: mit
tags:
- generated_from_trainer
datasets:
- wikitext
metrics:
- accuracy
model-index:
- name: wikitext_roberta-base
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: wikitext wikitext-2-raw-v1
type: wikitext
args: wikitext-2-raw-v1
m... |
wiselinjayajos/distilbert-base-uncased-finetuned-squad_v2 | 904763e1a7b9e55911c6449e0595a6c3889b05d0 | 2022-06-22T00:26:50.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"dataset:squad_v2",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | wiselinjayajos | null | wiselinjayajos/distilbert-base-uncased-finetuned-squad_v2 | 42 | null | transformers | 6,370 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: distilbert-base-uncased-finetuned-squad_v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then... |
shubhamitra/TinyBERT_General_4L_312D-finetuned-toxic-classification | 7e4d12ba3a7ec64f6a84814d10f8c14b5d9ba64c | 2022-07-05T07:29:35.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | shubhamitra | null | shubhamitra/TinyBERT_General_4L_312D-finetuned-toxic-classification | 42 | null | transformers | 6,371 | ---
tags:
- generated_from_trainer
model-index:
- name: TinyBERT_General_4L_312D-finetuned-toxic-classification
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. -->
#... |
kuttersn/gpt2_chatbot | 96e82985517b2da872418463bbb257ebcd1faf97 | 2022-07-14T19:04:01.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-generation | false | kuttersn | null | kuttersn/gpt2_chatbot | 42 | null | transformers | 6,372 | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: gpt2_chatbot
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt2_chat... |
nytimesrd/distilbert-base-uncased | 379b0cde998583f66bb304ccaee39a73bc04590a | 2022-07-27T14:25:40.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | nytimesrd | null | nytimesrd/distilbert-base-uncased | 42 | null | transformers | 6,373 | Entry not found |
obl1t/DialoGPT-medium-Jolyne | 877095ab2bdaaef3491c05869c7d3d9d151a70ab | 2022-07-27T23:45:17.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | obl1t | null | obl1t/DialoGPT-medium-Jolyne | 42 | null | transformers | 6,374 | ---
tags:
- conversational
---
#Jolyne DialoGPT Model |
BSC-TeMU/roberta-base-biomedical-clinical-es | af1b189bbc1303f23f64661a4a913c4da302d821 | 2021-10-21T10:28:12.000Z | [
"pytorch",
"roberta",
"fill-mask",
"es",
"arxiv:2109.03570",
"arxiv:2109.07765",
"transformers",
"biomedical",
"clinical",
"spanish",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | BSC-TeMU | null | BSC-TeMU/roberta-base-biomedical-clinical-es | 41 | 5 | transformers | 6,375 | ---
language:
- es
tags:
- biomedical
- clinical
- spanish
license: apache-2.0
metrics:
- ppl
widget:
- text: "El único antecedente personal a reseñar era la <mask> arterial."
- text: "Las radiologías óseas de cuerpo entero no detectan alteraciones <mask>, ni alteraciones vertebrales."
- text: "En el <mask> toraco-a... |
Fujitsu/AugCode | caf60fe07c98d0574b948c76770787662170ae6f | 2021-05-20T11:51:49.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"text-classification",
"en",
"dataset:augmented_codesearchnet",
"transformers",
"license:mit"
] | text-classification | false | Fujitsu | null | Fujitsu/AugCode | 41 | null | transformers | 6,376 | ---
inference: false
license: mit
widget:
language:
- en
metrics:
- mrr
datasets:
- augmented_codesearchnet
---
# 🔥 Augmented Code Model 🔥
This is Augmented Code Model which is a fined-tune model of [CodeBERT](https://huggingface.co/microsoft/codebert-base) for processing of similarity between given docstring and co... |
Geotrend/distilbert-base-en-fr-es-de-zh-cased | 27a1e7f4623b07233a0f01609396aebe5f1749a0 | 2021-07-28T10:36:16.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"multilingual",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Geotrend | null | Geotrend/distilbert-base-en-fr-es-de-zh-cased | 41 | null | transformers | 6,377 | ---
language: multilingual
datasets: wikipedia
license: apache-2.0
---
# distilbert-base-en-fr-es-de-zh-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 sa... |
Helsinki-NLP/opus-mt-ca-fr | db974afe6ff1c6b1c1b058216583c8483068e38d | 2021-01-18T07:53:03.000Z | [
"pytorch",
"marian",
"text2text-generation",
"ca",
"fr",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-ca-fr | 41 | null | transformers | 6,378 | ---
language:
- ca
- fr
tags:
- translation
license: apache-2.0
---
### cat-fra
* source group: Catalan
* target group: French
* OPUS readme: [cat-fra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-fra/README.md)
* model: transformer-align
* source language(s): cat
* target language... |
Helsinki-NLP/opus-mt-inc-en | b95c52d5907ce0a4718662571c63df42e73bdbe0 | 2020-08-21T14:42:46.000Z | [
"pytorch",
"marian",
"text2text-generation",
"bn",
"or",
"gu",
"mr",
"ur",
"hi",
"as",
"si",
"inc",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-inc-en | 41 | null | transformers | 6,379 | ---
language:
- bn
- or
- gu
- mr
- ur
- hi
- as
- si
- inc
- en
tags:
- translation
license: apache-2.0
---
### inc-eng
* source group: Indic languages
* target group: English
* OPUS readme: [inc-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/inc-eng/README.md)
* model: transformer... |
Muennighoff/SGPT-125M-weightedmean-nli | 9e7693f0f115b3ddecde41b574574e0750b3841c | 2022-02-21T06:19:26.000Z | [
"pytorch",
"gpt_neo",
"feature-extraction",
"arxiv:2202.08904",
"sentence-transformers",
"sentence-similarity"
] | sentence-similarity | false | Muennighoff | null | Muennighoff/SGPT-125M-weightedmean-nli | 41 | null | sentence-transformers | 6,380 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# SGPT-125M-weightedmean-nli
## Usage
For usage instructions, refer to our codebase: https://github.com/Muennighoff/sgpt
## Evaluation Results
For eval results, refer to our paper: https://arxiv.org/... |
RJ3vans/CCVspanTagger | 846daae8b8c71ebd08c2e6cb28675a194679c548 | 2022-07-14T23:46:26.000Z | [
"pytorch",
"bert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | RJ3vans | null | RJ3vans/CCVspanTagger | 41 | null | transformers | 6,381 | Try the test sentence:
<i>The woman said "my name is Sarah [and] I live in London."</i>
The model should tag the tokens in the sentence with information about whether or not they are contained within a compound clause. If you find the model useful, please cite my thesis which presents the dataset used for finetuning... |
SpacyGalaxy/DialoGPT-medium-Gandalf | 03d422eb3ee4e1ad90d0db5ca5a48b762b13bf81 | 2022-02-05T16:03:05.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | SpacyGalaxy | null | SpacyGalaxy/DialoGPT-medium-Gandalf | 41 | null | transformers | 6,382 | ---
tags:
- conversational
---
#Gandalf DialoGPT Model |
T-Systems-onsite/cross-en-fr-roberta-sentence-transformer | 6f2e0d0e39d6c82df959899db884567d51f4560b | 2022-06-28T19:57:04.000Z | [
"pytorch",
"tf",
"xlm-roberta",
"feature-extraction",
"fr",
"en",
"dataset:stsb_multi_mt",
"transformers",
"sentence_embedding",
"search",
"roberta",
"xlm-r-distilroberta-base-paraphrase-v1",
"license:mit"
] | feature-extraction | false | T-Systems-onsite | null | T-Systems-onsite/cross-en-fr-roberta-sentence-transformer | 41 | null | transformers | 6,383 | ---
language:
- fr
- en
license: mit
tags:
- sentence_embedding
- search
- pytorch
- xlm-roberta
- roberta
- xlm-r-distilroberta-base-paraphrase-v1
datasets:
- stsb_multi_mt
metrics:
- Spearman’s rank correlation
- cosine similarity
---
# Cross English & French RoBERTa for Sentence Embeddings
|
castorini/bpr-nq-ctx-encoder | c905ce72c76dc9562672a22f2211cf31ab8009ba | 2021-09-05T00:57:58.000Z | [
"pytorch",
"dpr",
"transformers"
] | null | false | castorini | null | castorini/bpr-nq-ctx-encoder | 41 | null | transformers | 6,384 | This model is converted from the original BPR [repo](https://github.com/studio-ousia/bpr) and fitted into Pyserini:
> Ikuya Yamada, Akari Asai, and Hannaneh Hajishirzi. 2021. Efficient passage retrieval with hashing for open-domain question answering. arXiv:2106.00882. |
ccdv/lsg-barthez-4096 | ce82caa236faf603a7422025c1e73c05aabe3aa1 | 2022-07-25T17:11:44.000Z | [
"pytorch",
"mbart",
"text2text-generation",
"fr",
"transformers",
"summarization",
"bart",
"long context",
"fill-mask",
"autotrain_compatible"
] | fill-mask | false | ccdv | null | ccdv/lsg-barthez-4096 | 41 | null | transformers | 6,385 | ---
tags:
- summarization
- bart
- long context
language:
- fr
pipeline_tag: fill-mask
---
# LSG model
**Transformers >= 4.18.0**\
**This model relies on a custom modeling file, you need to add trust_remote_code=True**\
**See [\#13467](https://github.com/huggingface/transformers/pull/13467)**
* [Usage](#usage)
* [Pa... |
facebook/s2t-small-covost2-fr-en-st | 0eb50631bf2b906f2b694e15db162d20620bb6e9 | 2022-02-07T15:33:11.000Z | [
"pytorch",
"tf",
"speech_to_text",
"automatic-speech-recognition",
"fr",
"en",
"dataset:covost2",
"arxiv:2010.05171",
"arxiv:1912.06670",
"arxiv:1904.08779",
"transformers",
"audio",
"speech-translation",
"license:mit"
] | automatic-speech-recognition | false | facebook | null | facebook/s2t-small-covost2-fr-en-st | 41 | null | transformers | 6,386 | ---
language:
- fr
- en
datasets:
- covost2
tags:
- audio
- speech-translation
- automatic-speech-recognition
license: mit
pipeline_tag: automatic-speech-recognition
widget:
- example_title: Librispeech sample 1
src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
- example_title: Librispeech sample 2
... |
flax-community/alberti-bert-base-multilingual-cased | c081a91539f2fad5e68d7c86fac1aea3aa9e47a6 | 2022-01-18T23:19:36.000Z | [
"pytorch",
"jax",
"joblib",
"bert",
"fill-mask",
"es",
"transformers",
"multilingual",
"license:cc-by-4.0",
"autotrain_compatible"
] | fill-mask | false | flax-community | null | flax-community/alberti-bert-base-multilingual-cased | 41 | 1 | transformers | 6,387 | ---
language: es
license: cc-by-4.0
tags:
- multilingual
- bert
pipeline_tag: fill-mask
widget:
- text: ¿Qué es la vida? Un [MASK].
---
# ALBERTI
ALBERTI is a set of two BERT-based multilingual model for poetry. One for verses and another one for stanzas. This model has been further trained with the PULPO corpus for ... |
frizwankhan/entity-linking-model-final | a303c2d39adde09c8f2341e534a93bc3c704c5a4 | 2022-01-13T13:32:04.000Z | [
"pytorch",
"layoutlmv2",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | frizwankhan | null | frizwankhan/entity-linking-model-final | 41 | null | transformers | 6,388 | Entry not found |
google/t5-efficient-large | 4d2cec4e7a1171605cbe4014985fc2440a21b449 | 2022-02-15T10:49:59.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2109.10686",
"transformers",
"deep-narrow",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/t5-efficient-large | 41 | 1 | transformers | 6,389 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-LARGE (Deep-Narrow version)
T5-Efficient-LARGE is a variation of [Google's original T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) following the [T5 model architecture](https... |
huggingtweets/matteosalvinimi | 527886ae3db734d58567c9fdfc3771656fb4588e | 2021-05-22T13:42:13.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/matteosalvinimi | 41 | null | transformers | 6,390 | ---
language: en
thumbnail: https://www.huggingtweets.com/matteosalvinimi/1602235798303/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css">
<style>
@media (prefers-color-scheme: dark) {
.prose ... |
huggingtweets/textmemeeffect | d2711e37736f68acf14158032e437a85310948c6 | 2021-05-23T01:08:08.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/textmemeeffect | 41 | null | transformers | 6,391 | ---
language: en
thumbnail: https://www.huggingtweets.com/textmemeeffect/1617749862156/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1279490677... |
huggingtweets/tommyhump | 689b1730bab3026af7dc66e522d436858a7fc197 | 2021-05-23T02:37:51.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/tommyhump | 41 | null | transformers | 6,392 | ---
language: en
thumbnail: https://www.huggingtweets.com/tommyhump/1617421683439/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div>
<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/136137651762476... |
jhgan/ko-sbert-nli | 0728da737a403c2acb69c2459900215e3b2390be | 2021-12-27T12:49:55.000Z | [
"pytorch",
"bert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | jhgan | null | jhgan/ko-sbert-nli | 41 | null | sentence-transformers | 6,393 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# ko-sbert-nli
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 cluster... |
kurianbenoy/distilbert-base-uncased-finetuned-imdb | b1e9d28349f37fe1942e2a04da867a78c434e7c6 | 2022-07-21T00:50:02.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"dataset:imdb",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | kurianbenoy | null | kurianbenoy/distilbert-base-uncased-finetuned-imdb | 41 | null | transformers | 6,394 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-imdb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
metrics:
... |
mrm8488/HindiBERTa | d8733c9dcb64a82e2e8c077093ef0f58f9b6516f | 2021-05-20T18:02:42.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | mrm8488 | null | mrm8488/HindiBERTa | 41 | null | transformers | 6,395 | Entry not found |
mrm8488/electricidad-small-finetuned-restaurant-sentiment-analysis | 76281ab08cb009203e59e4134fe588b7bcd0daf3 | 2021-06-15T16:54:27.000Z | [
"pytorch",
"electra",
"text-classification",
"es",
"transformers",
"restaurant",
"classification",
"reviews"
] | text-classification | false | mrm8488 | null | mrm8488/electricidad-small-finetuned-restaurant-sentiment-analysis | 41 | 2 | transformers | 6,396 | ---
language: es
tags:
- restaurant
- classification
- reviews
widget:
- text: "No está a la altura, no volveremos."
---
# Electricidad-small fine-tuned on restaurant review sentiment analysis dataset
Test set accuray: 0.86 |
nouamanetazi/cover-letter-t5-base | 80f714aa4701a1e19663a1ab36b7d1d0fab3abff | 2021-11-30T21:14:47.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"transformers",
"generated_from_trainer",
"t5-base",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | nouamanetazi | null | nouamanetazi/cover-letter-t5-base | 41 | 2 | transformers | 6,397 | ---
language: en
license: apache-2.0
tags:
- generated_from_trainer
- t5-base
model-index:
- name: cover-letter-t5-base
results: []
widget:
- text: "coverletter name: Nouamane Tazi job: Machine Learning Engineer at HuggingFace background: Master's student in AI at the University of Paris Saclay experiences: I partici... |
patrickvonplaten/wav2vec2-xlsr-53-300m-mls-german-ft | d05d90ca4932582a0a6af89d14fda799204bd183 | 2021-11-18T22:30:46.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:multilingual_librispeech",
"transformers",
"multilingual_librispeech",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | patrickvonplaten | null | patrickvonplaten/wav2vec2-xlsr-53-300m-mls-german-ft | 41 | null | transformers | 6,398 | ---
license: apache-2.0
tags:
- automatic-speech-recognition
- multilingual_librispeech
- generated_from_trainer
datasets:
- multilingual_librispeech
model-index:
- name: wav2vec2-xlsr-53-300m-mls-german-ft
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer... |
qinluo/wobert-chinese-plus | 7ee236e8778d014617f11fd21ed8be51b61c2563 | 2021-11-18T13:43:26.000Z | [
"pytorch",
"tf",
"bert",
"fill-mask",
"zh",
"transformers",
"wobert",
"autotrain_compatible"
] | fill-mask | false | qinluo | null | qinluo/wobert-chinese-plus | 41 | 1 | transformers | 6,399 | ---
language: zh
tags:
- wobert
inference: True
---
## Word based BERT model
原模型及说明见：https://github.com/ZhuiyiTechnology/WoBERT
pytorch 模型见: https://github.com/JunnYu/WoBERT_pytorch
## 安装 WoBertTokenizer
```bash
pip install git+https://github.com/JunnYu/WoBERT_pytorch.git
```
## TF Example
```python
from transfor... |
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