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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
saattrupdan/verdict-classifier | a305d4792587f3461c82dcd96632dffa2e406ccf | 2021-10-27T15:00:47.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"text-classification",
"am",
"ar",
"hy",
"eu",
"bn",
"bs",
"bg",
"my",
"hr",
"ca",
"cs",
"da",
"nl",
"en",
"et",
"fi",
"fr",
"ka",
"de",
"el",
"gu",
"ht",
"iw",
"hi",
"hu",
"is",
"in",
"it",
"ja",
"kn",
"km"... | text-classification | false | saattrupdan | null | saattrupdan/verdict-classifier | 284 | 2 | transformers | 3,100 | ---
license: mit
language:
- am
- ar
- hy
- eu
- bn
- bs
- bg
- my
- hr
- ca
- cs
- da
- nl
- en
- et
- fi
- fr
- ka
- de
- el
- gu
- ht
- iw
- hi
- hu
- is
- in
- it
- ja
- kn
- km
- ko
- lo
- lv
- lt
- ml
- mr
- ne
- no
- or
- pa
- ps
- fa
- pl
- pt
- ro
- ru
- sr
- zh
- sd
- si
- sk
- sl
- es
- sv
- tl
- ta
- te
- t... |
Graphcore/bert-base-uncased | 3c0d71623fcab38812d42fa8a695cfa3efedb4c5 | 2022-05-25T18:31:01.000Z | [
"pytorch",
"bert",
"dataset:Graphcore/wikipedia-bert-128",
"dataset:Graphcore/wikipedia-bert-512",
"arxiv:1904.00962",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | null | false | Graphcore | null | Graphcore/bert-base-uncased | 284 | null | transformers | 3,101 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- Graphcore/wikipedia-bert-128
- Graphcore/wikipedia-bert-512
model-index:
- name: Graphcore/bert-base-uncased
results: []
---
# Graphcore/bert-base-uncased
Optimum Graphcore is a new open-source library and toolkit that enables developers to access I... |
aishanisingh/DialoGPT-small-harrypotter | 9282686d6968e9aa3dc4703542b07f29b2e9e49b | 2022-02-12T11:03:07.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | aishanisingh | null | aishanisingh/DialoGPT-small-harrypotter | 283 | null | transformers | 3,102 | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model |
asapp/sew-d-tiny-100k | 525fe76004d8066bad550ca48c6cbc10dcdbb21c | 2021-10-28T14:06:38.000Z | [
"pytorch",
"sew-d",
"feature-extraction",
"en",
"dataset:librispeech_asr",
"arxiv:2109.06870",
"transformers",
"speech",
"license:apache-2.0"
] | feature-extraction | false | asapp | null | asapp/sew-d-tiny-100k | 283 | null | transformers | 3,103 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
license: apache-2.0
---
# SEW-D-tiny
[SEW-D by ASAPP Research](https://github.com/asappresearch/sew)
The base model pretrained on 16kHz sampled speech audio. When using the model make sure that your speech input is also sampled at 16Khz. Note that this mode... |
chaitrabhat/DialoGPT-small-rick | 5bfa6ef6dcadf13db5e4c31b554fc8d3074bd395 | 2021-11-05T11:30:22.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | chaitrabhat | null | chaitrabhat/DialoGPT-small-rick | 283 | null | transformers | 3,104 | ---
tags:
- conversational
---
# Rick DialoGPT model |
iarfmoose/roberta-base-bulgarian | 8990d3001cf524e8e9120f3e4627c429f11f1ae3 | 2021-05-20T16:50:24.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"fill-mask",
"bg",
"arxiv:1907.11692",
"transformers",
"autotrain_compatible"
] | fill-mask | false | iarfmoose | null | iarfmoose/roberta-base-bulgarian | 283 | 1 | transformers | 3,105 | ---
language: bg
---
# RoBERTa-base-bulgarian
The RoBERTa model was originally introduced in [this paper](https://arxiv.org/abs/1907.11692). This is a version of [RoBERTa-base](https://huggingface.co/roberta-base) pretrained on Bulgarian text.
## Intended uses
This model can be used for cloze tasks (mas... |
lanejm/DialoGPT-small-hagrid | 4cd872a99f3d6c003f1e7cc408876a1fef610a2c | 2021-08-30T20:32:45.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | lanejm | null | lanejm/DialoGPT-small-hagrid | 283 | null | transformers | 3,106 | ---
tags:
- conversational
---
# Hagrid DailoGPT Model |
nev/dalle-mini-pytorch | 75ad36dad1a6f24f882ce41613c17c27430993b3 | 2022-07-03T08:22:24.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | nev | null | nev/dalle-mini-pytorch | 283 | 1 | transformers | 3,107 | The small DALLE-mini converted to PyTorch
[Colab](https://colab.research.google.com/drive/1Blh-hTfhyry-YvitH8A95Duzwtm17Xz-?usp=sharing) |
r3dhummingbird/DialoGPT-small-harrypotter | 6aefc62f75912fb17e9c171c885129cbf19d108f | 2021-08-08T19:02:01.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | r3dhummingbird | null | r3dhummingbird/DialoGPT-small-harrypotter | 283 | 1 | transformers | 3,108 | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model |
sentence-transformers/msmarco-roberta-base-v2 | b23dfbc095c7726ffb381522e4132a46fdee7783 | 2022-06-16T00:24:02.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"feature-extraction",
"arxiv:1908.10084",
"sentence-transformers",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | sentence-similarity | false | sentence-transformers | null | sentence-transformers/msmarco-roberta-base-v2 | 283 | null | sentence-transformers | 3,109 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/msmarco-roberta-base-v2
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dens... |
tner/twitter-roberta-base-dec2021-tweetner-2020-2021-continuous | 26b748712ee9288a94662b3db5a5202c9f053e0c | 2022-07-11T22:17:36.000Z | [
"pytorch",
"roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | tner | null | tner/twitter-roberta-base-dec2021-tweetner-2020-2021-continuous | 283 | null | transformers | 3,110 | Entry not found |
Magolor/deepex-ranking-model | e793d26a74805413796e1e079791f6a22ac226db | 2021-09-16T05:25:14.000Z | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | Magolor | null | Magolor/deepex-ranking-model | 282 | null | transformers | 3,111 | Entry not found |
gvs/wav2vec2-large-xlsr-malayalam | b073beb93616a83d26933e1aa98d9299a5f4af23 | 2021-07-06T05:44:26.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"ml",
"dataset:Indic TTS Malayalam Speech Corpus",
"dataset:Openslr Malayalam Speech Corpus",
"dataset:SMC Malayalam Speech Corpus",
"dataset:IIIT-H Indic Speech Databases",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-wee... | automatic-speech-recognition | false | gvs | null | gvs/wav2vec2-large-xlsr-malayalam | 282 | null | transformers | 3,112 | ---
language: ml
datasets:
- Indic TTS Malayalam Speech Corpus
- Openslr Malayalam Speech Corpus
- SMC Malayalam Speech Corpus
- IIIT-H Indic Speech Databases
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Malayalam XLSR Wav2Vec2 Lar... |
Chae/botman | 18d7ba38a24f78e491acdc64421bf8db0bd911cb | 2021-12-16T22:54:37.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Chae | null | Chae/botman | 281 | null | transformers | 3,113 | ---
tags:
- conversational
---
# Lego Batman DialoGPT Model |
Dawit/DialogGPT-small-ironman | 590a305bdf1d6dab66d71d47e9f1b56bc3b0622d | 2021-10-04T22:37:58.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Dawit | null | Dawit/DialogGPT-small-ironman | 281 | null | transformers | 3,114 | ---
tags:
- conversational
---
# Iron Man DialoGPT Model |
TransQuest/siamesetransquest-da-en_zh-wiki | 49e26e32d9f3715e73be25197c55e57514208d25 | 2021-06-04T08:09:52.000Z | [
"pytorch",
"xlm-roberta",
"feature-extraction",
"en-zh",
"transformers",
"Quality Estimation",
"siamesetransquest",
"da",
"license:apache-2.0"
] | feature-extraction | false | TransQuest | null | TransQuest/siamesetransquest-da-en_zh-wiki | 281 | null | transformers | 3,115 | ---
language: en-zh
tags:
- Quality Estimation
- siamesetransquest
- da
license: apache-2.0
---
# TransQuest: Translation Quality Estimation with Cross-lingual Transformers
The goal of quality estimation (QE) is to evaluate the quality of a translation without having access to a reference translation. High-accuracy Q... |
google/t5-3b-ssm-nq | 41e4614a9cc7c70616d5af7a172be534e63763a8 | 2020-12-07T08:40:21.000Z | [
"pytorch",
"tf",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"dataset:wikipedia",
"dataset:natural_questions",
"arxiv:2002.08909",
"arxiv:1910.10683",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/t5-3b-ssm-nq | 281 | null | transformers | 3,116 | ---
language: en
datasets:
- c4
- wikipedia
- natural_questions
pipeline_tag: text2text-generation
license: apache-2.0
---
[Google's T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) for **Closed Book Question Answering**.
The model was pre-trained using T5's denoising objective on [C... |
JazzyLucas/DialoGPT-small-TonyStark | 5185907181726a6825b61150bbc8b98adf11a75a | 2022-06-28T20:20:05.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | JazzyLucas | null | JazzyLucas/DialoGPT-small-TonyStark | 281 | null | transformers | 3,117 | ---
tags:
- conversational
---
# Tony Stark DialoGPT Model |
Rush11/DialoGPT-small-HarryPotter | 799549795ef573de8012f54f2496e1553d62c777 | 2021-11-11T13:36:26.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Rush11 | null | Rush11/DialoGPT-small-HarryPotter | 280 | null | transformers | 3,118 | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model |
SilentMyuth/stableben | 04b2b427113cf0b59626e75dca7e28a6b8cccb3e | 2021-07-21T21:05:17.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | SilentMyuth | null | SilentMyuth/stableben | 280 | null | transformers | 3,119 | ---
tags:
- conversational
---
# My Awesome Model |
allenai/hvila-block-layoutlm-finetuned-docbank | 259c0cd08caaf1b0abefd447986cb905fbd06a23 | 2021-09-27T22:57:29.000Z | [
"pytorch",
"hierarchical_model",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | allenai | null | allenai/hvila-block-layoutlm-finetuned-docbank | 280 | null | transformers | 3,120 | Entry not found |
Theivaprakasham/layoutlmv3-finetuned-invoice | 817177117100efab28f4ecf162b1b1241df756cb | 2022-06-07T07:35:54.000Z | [
"pytorch",
"tensorboard",
"layoutlmv3",
"token-classification",
"dataset:invoice",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | Theivaprakasham | null | Theivaprakasham/layoutlmv3-finetuned-invoice | 280 | null | transformers | 3,121 | ---
tags:
- generated_from_trainer
datasets:
- invoice
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: layoutlmv3-finetuned-invoice
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: Invoice
type: invoice
args: invoice
metri... |
EEE/DialoGPT-small-aang | 7763800f9df9dada1a6d6ad050e02804aa7f4f9a | 2021-11-13T07:28:08.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | EEE | null | EEE/DialoGPT-small-aang | 279 | null | transformers | 3,122 | ---
tags:
- conversational
---
# Aang DialoGPT Model |
aashutosh2102/DialoGPT-smalll-harrypotter | f21fd4183f9d581313901bc33f6ab4afc48153e8 | 2021-08-26T19:30:14.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | aashutosh2102 | null | aashutosh2102/DialoGPT-smalll-harrypotter | 279 | 1 | transformers | 3,123 | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model |
facebook/convnext-small-224 | 1f83cacb36771bc46877595aecf6f6c7a9f941f9 | 2022-02-26T12:17:32.000Z | [
"pytorch",
"tf",
"convnext",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2201.03545",
"transformers",
"vision",
"license:apache-2.0"
] | image-classification | false | facebook | null | facebook/convnext-small-224 | 279 | null | transformers | 3,124 | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: https... |
m3hrdadfi/wav2vec2-large-xlsr-turkish | 8699cf317b8f9a834ddf192608324ae5bbd191f0 | 2021-07-06T11:07:44.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"tr",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | m3hrdadfi | null | m3hrdadfi/wav2vec2-large-xlsr-turkish | 279 | 2 | transformers | 3,125 | ---
language: tr
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
widget:
- label: Common Voice sample 1378
src: https://huggingface.co/m3hrdadfi/wav2vec2-large-xlsr-turkish/resolve/main/sample1378.flac
- label: Common Voice sample 1589
src: ... |
ccdv/lsg-bart-base-4096-pubmed | 690c90499c848071d8771a8e3fb658b1d3c84a1d | 2022-07-25T05:30:26.000Z | [
"pytorch",
"bart",
"text2text-generation",
"en",
"dataset:scientific_papers",
"transformers",
"summarization",
"model-index",
"autotrain_compatible"
] | summarization | false | ccdv | null | ccdv/lsg-bart-base-4096-pubmed | 279 | 1 | transformers | 3,126 | ---
language:
- en
tags:
- summarization
datasets:
- scientific_papers
metrics:
- rouge
model-index:
- name: ccdv/lsg-bart-base-4096-pubmed
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... |
nlp-waseda/roberta-large-japanese-seq512 | 40948ff39bb7d4ae28aa2b9aed31ec33a5483d09 | 2022-06-13T10:10:39.000Z | [
"pytorch",
"roberta",
"fill-mask",
"ja",
"dataset:wikipedia",
"dataset:cc100",
"transformers",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | fill-mask | false | nlp-waseda | null | nlp-waseda/roberta-large-japanese-seq512 | 279 | 1 | transformers | 3,127 | ---
language: ja
license: cc-by-sa-4.0
datasets:
- wikipedia
- cc100
mask_token: "[MASK]"
widget:
- text: "早稲田 大学 で 自然 言語 処理 を [MASK] する 。"
---
# nlp-waseda/roberta-large-japanese-seq512
## Model description
This is a Japanese RoBERTa large model pretrained on Japanese Wikipedia and the Japanese portion of CC-100 wi... |
DecafNosebleed/DialoGPT-small-ScaraBot | 5b700a2928bbb0c00dfc46159ac52d5e7ea68a44 | 2021-12-27T22:12:06.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | DecafNosebleed | null | DecafNosebleed/DialoGPT-small-ScaraBot | 278 | null | transformers | 3,128 | ---
tags:
- conversational
---
#Scaramouche DialoGPT Model |
imxly/t5-pegasus-small | fafe710bf3039f39efa7b0278969561e838d478f | 2021-06-23T15:07:42.000Z | [
"pytorch",
"jax",
"mt5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | imxly | null | imxly/t5-pegasus-small | 278 | 2 | transformers | 3,129 | Entry not found |
jhgan/ko-sbert-sts | ff20c24e4544a5def5b90d83e8268e8d46af6ada | 2021-12-27T12:56:39.000Z | [
"pytorch",
"bert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | jhgan | null | jhgan/ko-sbert-sts | 278 | null | sentence-transformers | 3,130 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# ko-sbert-sts
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... |
julianolf/DialoGPT-small-harrypotter | af7b7888b8e8081c86e58efa9d33a73fe658111e | 2021-08-28T17:47:08.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | julianolf | null | julianolf/DialoGPT-small-harrypotter | 278 | null | transformers | 3,131 | ---
tags:
- conversational
---
# Harry Potter DialogGPT Model |
monologg/kobert-lm | ce972e68502e016cef607a275cddffe684633484 | 2021-05-19T23:51:48.000Z | [
"pytorch",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | monologg | null | monologg/kobert-lm | 278 | null | transformers | 3,132 | Entry not found |
mrm8488/diltilgpt2-finetuned-bookcopus-10 | 7c4a124633be754988c81f16835eb9605bdbf3e7 | 2021-05-23T10:19:39.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | mrm8488 | null | mrm8488/diltilgpt2-finetuned-bookcopus-10 | 278 | 3 | transformers | 3,133 | Entry not found |
persiannlp/mt5-base-parsinlu-opus-translation_fa_en | b7e4fc1aaf34c0679be7127e57e9e1b12829d80f | 2021-09-23T16:19:57.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"fa",
"multilingual",
"dataset:parsinlu",
"transformers",
"machine-translation",
"persian",
"farsi",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible"
] | text2text-generation | false | persiannlp | null | persiannlp/mt5-base-parsinlu-opus-translation_fa_en | 278 | null | transformers | 3,134 | ---
language:
- fa
- multilingual
thumbnail: https://upload.wikimedia.org/wikipedia/commons/a/a2/Farsi.svg
tags:
- machine-translation
- mt5
- persian
- farsi
license: cc-by-nc-sa-4.0
datasets:
- parsinlu
metrics:
- sacrebleu
---
# Machine Translation (ترجمهی ماشینی)
This is an mT5-based model for machine translatio... |
QCRI/bert-base-multilingual-cased-pos-english | 0b39becb9520965fefc653a7d67dd4accf8cd273 | 2022-06-13T09:03:43.000Z | [
"pytorch",
"bert",
"token-classification",
"en",
"transformers",
"part-of-speech",
"finetuned",
"license:cc-by-nc-3.0",
"autotrain_compatible"
] | token-classification | false | QCRI | null | QCRI/bert-base-multilingual-cased-pos-english | 278 | null | transformers | 3,135 | ---
language:
- en
tags:
- part-of-speech
- finetuned
license: cc-by-nc-3.0
---
# BERT-base-multilingual-cased finetuned for Part-of-Speech tagging
This is a multilingual BERT model fine tuned for part-of-speech tagging for English. It is trained using the Penn TreeBank (Marcus et al., 1993) and achieves an F1-... |
Theivaprakasham/layoutlmv3-finetuned-wildreceipt | 53cff4056eb698bba9d262861580793844946349 | 2022-06-11T09:14:40.000Z | [
"pytorch",
"tensorboard",
"layoutlmv3",
"token-classification",
"dataset:wild_receipt",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | token-classification | false | Theivaprakasham | null | Theivaprakasham/layoutlmv3-finetuned-wildreceipt | 278 | 1 | transformers | 3,136 | ---
tags:
- generated_from_trainer
datasets:
- wild_receipt
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: layoutlmv3-finetuned-wildreceipt
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: wild_receipt
type: wild_receipt
args... |
akshatpandeyme/DialoGPT-small-ParthivBot | e673574a4cd58286dcb39872bef118cf03b64333 | 2022-07-25T11:06:23.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | akshatpandeyme | null | akshatpandeyme/DialoGPT-small-ParthivBot | 278 | null | transformers | 3,137 | ---
tags:
- conversational
---
# ParthivBot |
MathiasVS/DialoGPT-small-RickAndMorty | 78e2b308af3adfd0d705f46140710f3ab069e82f | 2021-08-29T11:35:46.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | MathiasVS | null | MathiasVS/DialoGPT-small-RickAndMorty | 277 | null | transformers | 3,138 | ---
tags:
- conversational
---
# Rick and Morty DialoGPT Model |
asapp/sew-tiny-100k | 7ff3f0b171e114f8be849557bdd7208f82cf7b41 | 2021-10-26T19:40:45.000Z | [
"pytorch",
"sew",
"feature-extraction",
"en",
"dataset:librispeech_asr",
"arxiv:2109.06870",
"transformers",
"speech",
"license:apache-2.0"
] | feature-extraction | false | asapp | null | asapp/sew-tiny-100k | 277 | null | transformers | 3,139 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
license: apache-2.0
---
# SEW-tiny
[SEW by ASAPP Research](https://github.com/asappresearch/sew)
The base model pretrained on 16kHz sampled speech audio. When using the model make sure that your speech input is also sampled at 16Khz. Note that this model sh... |
bensuydam/CartmanBot | 08cc5e80f808e781293d5026eaefe8526fdb6984 | 2022-02-16T02:48:19.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | bensuydam | null | bensuydam/CartmanBot | 277 | null | transformers | 3,140 | ---
tags:
- conversational
---
#GPTCartman |
oliverqq/scibert-uncased-topics | 971f56ff2f269bbefc57162c9248def5c9e36b45 | 2021-05-20T02:13:36.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | oliverqq | null | oliverqq/scibert-uncased-topics | 277 | 1 | transformers | 3,141 | Entry not found |
transfaeries/Twilight-Sparkle-GPT | c91dd543f903cfb71372fc4af407d6d16d4ef1f1 | 2021-09-17T18:53:57.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | transfaeries | null | transfaeries/Twilight-Sparkle-GPT | 277 | null | transformers | 3,142 | ---
tags:
- conversational
---
# Twilight Model Medium 13 epochs |
kche0138/DialoGPT-medium-DIO | 0fbc05d01caaad3591e76f2e1c159807f6817f2c | 2021-09-02T06:09:55.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | kche0138 | null | kche0138/DialoGPT-medium-DIO | 276 | null | transformers | 3,143 | ---
tags:
- conversational
---
# DIO DialoGPT Model |
nateraw/bert-base-uncased-imdb | 45fafe885ac78d58644337ef105f3c922c054e8c | 2021-05-20T01:19:33.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | false | nateraw | null | nateraw/bert-base-uncased-imdb | 276 | null | transformers | 3,144 | Entry not found |
sudoabrar/DialoGPT-small-dwight | 37d2eb662dc22decd2a54d29d08e104fa299aa8c | 2021-10-01T19:37:37.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | sudoabrar | null | sudoabrar/DialoGPT-small-dwight | 276 | null | transformers | 3,145 | ---
tags:
- conversational
---
# Dwight DialoGPT Model
You can find the code [here](https://github.com/sudo-apt-Abrar/BearsandBeets) |
prprakash/DialoGPT-small-TonyStark | 7a1bb0e766fbe39ebd232d3d5145c550f4986e4d | 2022-06-22T06:01:13.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | prprakash | null | prprakash/DialoGPT-small-TonyStark | 276 | null | transformers | 3,146 | ---
tags:
- conversational
---
# Tony Stark DialoGPT Model |
DeepChem/ChemBERTa-5M-MTR | a642f2611383af9c37550b805ca0ecc279079914 | 2022-01-20T17:47:34.000Z | [
"pytorch",
"roberta",
"transformers"
] | null | false | DeepChem | null | DeepChem/ChemBERTa-5M-MTR | 275 | null | transformers | 3,147 | Entry not found |
Kai0857/DialoGPT-small-harrypotter | 1573a7e97dbecb29e7e9650e9c9a50713a9c0ecc | 2021-08-31T05:06:12.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Kai0857 | null | Kai0857/DialoGPT-small-harrypotter | 275 | null | transformers | 3,148 | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model |
Kryptone/monikAI-Unstable | efe45cbeefd80853b4579a06dce40f896aefc169 | 2021-10-03T05:18:48.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Kryptone | null | Kryptone/monikAI-Unstable | 275 | null | transformers | 3,149 | ---
tags:
- conversational
---
# MoniKA unstable |
aydin/DialoGPT-medium-michael | 6cd2edc4000a6900cde6156c5e74b5c904767670 | 2021-07-02T06:42:20.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | aydin | null | aydin/DialoGPT-medium-michael | 275 | null | transformers | 3,150 | ---
tags:
- conversational
---
# My Awesome Model |
huggingtweets/elonmusk | 0aa19bde11c196ec43c986ffb1dc16b3f8764186 | 2022-07-30T01:48:10.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/elonmusk | 275 | 2 | transformers | 3,151 | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4... |
indobenchmark/indobert-lite-base-p2 | e65a8f16078d5e4622e1df53204c2acd12e3074f | 2020-12-11T21:45:53.000Z | [
"pytorch",
"tf",
"albert",
"feature-extraction",
"id",
"dataset:Indo4B",
"arxiv:2009.05387",
"transformers",
"indobert",
"indobenchmark",
"indonlu",
"license:mit"
] | feature-extraction | false | indobenchmark | null | indobenchmark/indobert-lite-base-p2 | 275 | null | transformers | 3,152 | ---
language: id
tags:
- indobert
- indobenchmark
- indonlu
license: mit
inference: false
datasets:
- Indo4B
---
# IndoBERT-Lite Base Model (phase2 - uncased)
[IndoBERT](https://arxiv.org/abs/2009.05387) is a state-of-the-art language model for Indonesian based on the BERT model. The pretrained model is trained using... |
m-newhauser/distilbert-political-tweets | b7c4530e8c44cf8dcf448a6e5e5e460df33f83bf | 2022-07-07T09:07:44.000Z | [
"pytorch",
"tf",
"distilbert",
"text-classification",
"en",
"dataset:m-newhauser/senator-tweets",
"transformers",
"generated_from_keras_callback",
"license:lgpl-3.0"
] | text-classification | false | m-newhauser | null | m-newhauser/distilbert-political-tweets | 275 | 4 | transformers | 3,153 | ---
language:
- en
license: lgpl-3.0
library_name: transformers
tags:
- text-classification
- transformers
- pytorch
- generated_from_keras_callback
metrics:
- accuracy
- f1
datasets:
- m-newhauser/senator-tweets
widget:
- text: "This pandemic has shown us clearly the vulgarity of our healthcare system. Highest costs i... |
m3hrdadfi/hubert-base-greek-speech-emotion-recognition | 06f53faea1a01f62f4fc8c99e4aa6940b0cfe217 | 2021-06-17T16:05:44.000Z | [
"pytorch",
"hubert",
"el",
"dataset:aesdd",
"transformers",
"audio",
"speech",
"speech-emotion-recognition",
"license:apache-2.0"
] | null | false | m3hrdadfi | null | m3hrdadfi/hubert-base-greek-speech-emotion-recognition | 275 | null | transformers | 3,154 | ---
language: el
datasets:
- aesdd
tags:
- audio
- speech
- speech-emotion-recognition
license: apache-2.0
---
# Emotion Recognition in Greek (el) Speech using HuBERT
## How to use
### Requirements
```bash
# requirement packages
!pip install git+https://github.com/huggingface/datasets.git
!pip install git+https://... |
Taramiko/Hoshiyo_Kojima | 0694ef06fcba3fef3256718f06b8491a2c7473b4 | 2022-03-02T02:03:53.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Taramiko | null | Taramiko/Hoshiyo_Kojima | 275 | null | transformers | 3,155 | ---
tags:
- conversational
---
# Hoshiyo Kojima DialoGPT Model |
hfl/chinese-pert-large-mrc | c74f3cbfcd73ef9af91c74607ed3fa39064b799a | 2022-05-05T08:43:53.000Z | [
"pytorch",
"tf",
"bert",
"question-answering",
"zh",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | false | hfl | null | hfl/chinese-pert-large-mrc | 275 | 2 | transformers | 3,156 | ---
language:
- zh
license: "apache-2.0"
---
## A Chinese MRC model built on Chinese PERT-large
**Please use `BertForQuestionAnswering` to load this model!**
This is a Chinese machine reading comprehension (MRC) model built on PERT-large and fine-tuned on a mixture of Chinese MRC datasets.
PERT is a pre-trained mo... |
Capreolus/bert-base-msmarco | 779741b8d851512ca133126727ae7f091a2c3d01 | 2021-05-18T17:35:58.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"arxiv:2008.09093",
"transformers"
] | text-classification | false | Capreolus | null | Capreolus/bert-base-msmarco | 274 | null | transformers | 3,157 | # capreolus/bert-base-msmarco
## Model description
BERT-Base model (`google/bert_uncased_L-12_H-768_A-12`) fine-tuned on the MS MARCO passage classification task. It is intended to be used as a `ForSequenceClassification` model; see the [Capreolus BERT-MaxP implementation](https://github.com/capreolus-ir/capreolus/blo... |
rsd511/DialoGPT-small-house | 25633299065c348ff40ece4ee01e95da8a705952 | 2022-03-04T21:55:03.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | rsd511 | null | rsd511/DialoGPT-small-house | 274 | null | transformers | 3,158 | ---
tags:
- conversational
---
# House Bot |
Chuah/DialoGPT-small-harrypotter | 5e6146df772de0ba98a8d72e2f7f9cfb91ccee88 | 2021-09-02T09:26:11.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Chuah | null | Chuah/DialoGPT-small-harrypotter | 273 | null | transformers | 3,159 | ---
tags:
- conversational
---
# Harry Potter DialoGPT MOdel |
Helsinki-NLP/opus-mt-pl-de | da4656379de70bc21e031a5eb53d25e5cc5f66b3 | 2021-09-10T14:01:12.000Z | [
"pytorch",
"marian",
"text2text-generation",
"pl",
"de",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-pl-de | 273 | null | transformers | 3,160 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-pl-de
* source languages: pl
* target languages: de
* OPUS readme: [pl-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pl-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
abhishek/autonlp-imdb_sentiment_classification-31154 | 35088dcf759378af4ccbed093534af88ae17e259 | 2021-05-20T12:46:38.000Z | [
"pytorch",
"jax",
"roberta",
"text-classification",
"en",
"transformers",
"autonlp"
] | text-classification | false | abhishek | null | abhishek/autonlp-imdb_sentiment_classification-31154 | 273 | null | transformers | 3,161 | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
---
# Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 31154
## Validation Metrics
- Loss: 0.19292379915714264
- Accuracy: 0.9395
- Precision: 0.9569557080474111
- Recall: 0.9204
- AUC: 0.9851040399999998
- F1: 0.9383219... |
textattack/distilbert-base-uncased-rotten-tomatoes | 2f33048a5a243b84f232a8643520d426e46fbd92 | 2020-07-06T16:36:02.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | textattack | null | textattack/distilbert-base-uncased-rotten-tomatoes | 273 | null | transformers | 3,162 | ## TextAttack Model Card
This `distilbert-base-uncased` model was fine-tuned for sequence classificationusing TextAttack
and the rotten_tomatoes dataset loaded using the `nlp` library. The model was fine-tuned
for 3 epochs with a batch size of 128, a learning
rate of 1e-05, and a maximum sequence... |
batterydata/batterybert-cased-squad-v1 | f420944bc55b1d1d81112df9ca8609c33578693a | 2022-03-05T13:50:54.000Z | [
"pytorch",
"bert",
"question-answering",
"en",
"dataset:squad",
"dataset:batterydata/battery-device-data-qa",
"transformers",
"question answering",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | false | batterydata | null | batterydata/batterybert-cased-squad-v1 | 273 | null | transformers | 3,163 | ---
language: en
tags: question answering
license: apache-2.0
datasets:
- squad
- batterydata/battery-device-data-qa
metrics: squad
---
# BatteryBERT-cased for QA
**Language model:** batterybert-cased
**Language:** English
**Downstream-task:** Extractive QA
**Training data:** SQuAD v1
**Eval data:... |
CenIA/albert-base-spanish | 29e7bc60a782e76b887409a47bd81da7077403dc | 2022-04-28T19:55:01.000Z | [
"pytorch",
"tf",
"albert",
"pretraining",
"es",
"dataset:large_spanish_corpus",
"transformers",
"spanish",
"OpenCENIA"
] | null | false | CenIA | null | CenIA/albert-base-spanish | 272 | 2 | transformers | 3,164 | ---
language:
- es
tags:
- albert
- spanish
- OpenCENIA
datasets:
- large_spanish_corpus
---
# ALBERT Base Spanish
This is an [ALBERT](https://github.com/google-research/albert) model trained on a [big spanish corpora](https://github.com/josecannete/spanish-corpora).
The model was trained on a single TPU v3-8 with th... |
Helsinki-NLP/opus-mt-es-it | 435897ff1e4d6f205b8364450c20d17be9434a44 | 2021-09-09T21:43:16.000Z | [
"pytorch",
"marian",
"text2text-generation",
"es",
"it",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-es-it | 272 | null | transformers | 3,165 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-es-it
* source languages: es
* target languages: it
* OPUS readme: [es-it](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-it/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
MrDuckerino/DialoGPT-medium-Rick | 5e0ecc2a7b6cd3f7083b7a76d7a4525f839418cf | 2021-09-25T12:11:50.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | MrDuckerino | null | MrDuckerino/DialoGPT-medium-Rick | 272 | null | transformers | 3,166 | ---
tags:
- conversational
---
#Rick DialoGPT model |
castorini/tct_colbert-v2-hnp-msmarco-r2 | 12eead8e8e11e4c0c21b1d7fb1bdc2ada8c29da0 | 2021-08-16T16:13:09.000Z | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | castorini | null | castorini/tct_colbert-v2-hnp-msmarco-r2 | 272 | null | transformers | 3,167 | This model is to reproduce a variant of TCT-ColBERT-V2 dense retrieval models described in the following paper:
> Sheng-Chieh Lin, Jheng-Hong Yang, and Jimmy Lin. [In-Batch Negatives for Knowledge Distillation with Tightly-CoupledTeachers for Dense Retrieval.](https://cs.uwaterloo.ca/~jimmylin/publications/Lin_etal_202... |
lucio/xls-r-uzbek-cv8 | 0741dd70064b314d215e6d91a644eae924df5472 | 2022-03-23T18:25:35.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"uz",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"generated_from_trainer",
"hf-asr-leaderboard",
"mozilla-foundation/common_voice_8_0",
"robust-speech-event",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | lucio | null | lucio/xls-r-uzbek-cv8 | 272 | 1 | transformers | 3,168 | ---
language:
- uz
license: apache-2.0
tags:
- automatic-speech-recognition
- generated_from_trainer
- hf-asr-leaderboard
- mozilla-foundation/common_voice_8_0
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: XLS-R-300M Uzbek CV8
results:
- task:
name: Automatic Speec... |
smallbenchnlp/roberta-small | d5facd8e51c8b4e91bfec551f9d5966e503ec1ab | 2021-10-05T04:03:28.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | smallbenchnlp | null | smallbenchnlp/roberta-small | 272 | 1 | transformers | 3,169 | Small-Bench NLP is a benchmark for small efficient neural language models trained on a single GPU. |
doc2query/msmarco-14langs-mt5-base-v1 | a6945f83a59e1e1c7e56846e9b94343659124838 | 2022-05-02T20:12:45.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"en",
"ar",
"zh",
"nl",
"fr",
"de",
"hi",
"in",
"it",
"ja",
"pt",
"ru",
"es",
"vi",
"dataset:unicamp-dl/mmarco",
"arxiv:1904.08375",
"arxiv:2104.08663",
"arxiv:2112.07577",
"transformers",
"license:apache-2.0",
"autotrain_compat... | text2text-generation | false | doc2query | null | doc2query/msmarco-14langs-mt5-base-v1 | 272 | 3 | transformers | 3,170 | ---
language:
- en
- ar
- zh
- nl
- fr
- de
- hi
- in
- it
- ja
- pt
- ru
- es
- vi
datasets:
- unicamp-dl/mmarco
widget:
- text: "Python ist eine universelle, üblicherweise interpretierte, höhere Programmiersprache. Sie hat den Anspruch, einen gut lesbaren, knappen Programmierstil zu fördern. So werden beispielsweise ... |
fujuta/DialoGPT-medium-HermioneGrander | f023ae8b21cc2b2419b26c35336dd96cf039bd2d | 2022-05-25T01:54:22.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | fujuta | null | fujuta/DialoGPT-medium-HermioneGrander | 272 | null | transformers | 3,171 | ---
tags:
- conversational
--- |
Geotrend/bert-base-th-cased | 607c7b08e70c5ec7b2e3e013f394f0743dd39ca3 | 2021-05-18T20:11:25.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"th",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Geotrend | null | Geotrend/bert-base-th-cased | 271 | 1 | transformers | 3,172 | ---
language: th
datasets: wikipedia
license: apache-2.0
---
# bert-base-th-cased
We are sharing smaller versions of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) that handle a custom number of languages.
Unlike [distilbert-base-multilingual-cased](https://huggingface.co/disti... |
MAUtastic/DialoGPT-medium-RickandMortyBot | 063f226ac8853c3fbd90cdc45b98c88c2202e041 | 2021-09-27T17:24:34.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | MAUtastic | null | MAUtastic/DialoGPT-medium-RickandMortyBot | 271 | null | transformers | 3,173 | ---
tags:
- conversational
---
# Rick Morty DialoGPT Model |
Ninja5000/DialoGPT-medium-HarryPotter | 26e06380418ba54fec7b56d942afe36710d65a77 | 2022-02-20T14:51:41.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Ninja5000 | null | Ninja5000/DialoGPT-medium-HarryPotter | 271 | null | transformers | 3,174 | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model |
TransQuest/monotransquest-da-en_any | f15603a61d3417f071401c0478f07460d29175dd | 2021-06-03T19:01:53.000Z | [
"pytorch",
"xlm-roberta",
"text-classification",
"en-multilingual",
"transformers",
"Quality Estimation",
"monotransquest",
"DA",
"license:apache-2.0"
] | text-classification | false | TransQuest | null | TransQuest/monotransquest-da-en_any | 271 | null | transformers | 3,175 | ---
language: en-multilingual
tags:
- Quality Estimation
- monotransquest
- DA
license: apache-2.0
---
# TransQuest: Translation Quality Estimation with Cross-lingual Transformers
The goal of quality estimation (QE) is to evaluate the quality of a translation without having access to a reference translation. High-acc... |
clip-italian/clip-italian | ec24f9388c45cbc404a12d94038c623425f99a31 | 2021-11-30T08:32:46.000Z | [
"pytorch",
"jax",
"vision-text-dual-encoder",
"feature-extraction",
"it",
"dataset:wit",
"dataset:ctl/conceptualCaptions",
"dataset:mscoco-it",
"arxiv:2103.01913",
"arxiv:2103.00020",
"transformers",
"italian",
"bert",
"vit",
"vision"
] | feature-extraction | false | clip-italian | null | clip-italian/clip-italian | 271 | 8 | transformers | 3,176 | ---
language: it
license:
datasets:
- wit
- ctl/conceptualCaptions
- mscoco-it
tags:
- italian
- bert
- vit
- vision
---
# Italian CLIP
With a few tricks, we have been able to fine-tune a competitive Italian CLIP model with **only 1.4 million** training samples. Our Italian CLIP model is built upon the [Italian BERT... |
minwhoo/bart-base-negative-claim-generation | 06fb04ad75c263b51c57e0fee9312a5570aa6788 | 2021-10-07T04:24:44.000Z | [
"pytorch",
"bart",
"text2text-generation",
"en",
"dataset:wikifactcheck",
"arxiv:2109.15107",
"transformers",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | minwhoo | null | minwhoo/bart-base-negative-claim-generation | 271 | 2 | transformers | 3,177 | ---
language:
- en
tags:
- text2text-generation
license: mit
datasets:
- wikifactcheck
widget:
- text: "Little Miss Sunshine was filmed over 30 days."
---
# BART base negative claim generation model
This is a BART-based model fine-tuned for negative claim generation. This model is used in the data augmentation process... |
sdadas/polish-distilroberta | c37be24a952ac7184b7f1f2e067dbfe75887a7b4 | 2022-02-19T10:29:04.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"license:lgpl-3.0",
"autotrain_compatible"
] | fill-mask | false | sdadas | null | sdadas/polish-distilroberta | 271 | 1 | transformers | 3,178 | ---
license: lgpl-3.0
---
|
patrickvonplaten/bart-large-fp32 | 1840e28a9a0c1b29836aa215086f2faa14efd6c6 | 2022-04-13T09:00:04.000Z | [
"pytorch",
"jax",
"bart",
"feature-extraction",
"en",
"arxiv:1910.13461",
"transformers",
"license:apache-2.0"
] | feature-extraction | false | patrickvonplaten | null | patrickvonplaten/bart-large-fp32 | 271 | null | transformers | 3,179 | ---
license: apache-2.0
language: en
---
**NOTE: This is the FP32 version of [Facebook's official bart-large](https://huggingface.co/facebook/bart-large/edit/main/README.md).**
# BART (large-sized model)
BART model pre-trained on English language. It was introduced in the paper [BART: Denoising Sequence-to-Sequence ... |
webshop/il-choice-bert-image_0 | 3339495679826876c8a1442e20d904d567c0587d | 2022-06-16T01:17:58.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | webshop | null | webshop/il-choice-bert-image_0 | 271 | null | transformers | 3,180 | Entry not found |
CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus26 | cf6e30c62f43b9b2506e5cc4ee34eacda51d8845 | 2021-10-17T11:17:23.000Z | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | false | CAMeL-Lab | null | CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus26 | 270 | 1 | transformers | 3,181 | ---
language:
- ar
license: apache-2.0
widget:
- text: "عامل ايه ؟"
---
# CAMeLBERT-Mix DID Madar Corpus26 Model
## Model description
**CAMeLBERT-Mix DID Madar Corpus26 Model** is a dialect identification (DID) model that was built by fine-tuning the [CAMeLBERT-Mix](https://huggingface.co/CAMeL-Lab/bert-base-arabic-c... |
Soapsy/DialoGPT-mid-cartman | c6a54d13ceaddeb098bfd853493cec2610205e54 | 2021-08-29T04:52:28.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Soapsy | null | Soapsy/DialoGPT-mid-cartman | 270 | null | transformers | 3,182 | ---
tags:
- conversational
---
# Cartman DialoGPT Model |
anweasha/DialoGPT-small-Chandler | cba34e787e6aeba8a4976c967650903784aee277 | 2022-02-12T07:47:35.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | anweasha | null | anweasha/DialoGPT-small-Chandler | 270 | null | transformers | 3,183 | ---
tags:
- conversational
---
# Chandler DialoGPT Model |
arch0345/pocobot | 1236458e880a4c4851ab3fc42348094ade4d2ea2 | 2021-11-27T07:18:32.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | arch0345 | null | arch0345/pocobot | 270 | null | transformers | 3,184 | ---
tags:
- conversational
---
# pocobot |
castorini/unicoil-msmarco-passage | a9379ff729899cf1255960e604496c1a638346ce | 2021-07-13T22:28:03.000Z | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | castorini | null | castorini/unicoil-msmarco-passage | 270 | 1 | transformers | 3,185 | Entry not found |
sampathkethineedi/industry-classification-api | 126bd5e2e52fbca1fbb7f112b2c40679a494ed5a | 2021-05-19T01:29:31.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"en",
"transformers",
"industry tags",
"buisiness description",
"multi-label",
"classification",
"inference"
] | text-classification | false | sampathkethineedi | null | sampathkethineedi/industry-classification-api | 270 | 2 | transformers | 3,186 | ---
language: "en"
thumbnail: "https://huggingface.co/sampathkethineedi"
widget:
- text: "3rd Rock Multimedia Limited is an India-based event management company. The Company conducts film promotions, international events, corporate events and cultural events. The Company's entertainment properties include 3rd Rock Fas... |
Leviii03/Dialogpt-small-Jake99 | 273d5668183996e54d34638940ea1c19655044a0 | 2021-08-31T11:13:47.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Leviii03 | null | Leviii03/Dialogpt-small-Jake99 | 269 | null | transformers | 3,187 | ---
tags:
- conversational
---
# Jake99 DialoGPT model |
patrickvonplaten/longformer2roberta-cnn_dailymail-fp16 | ac2a9257b077a75616e2be14912709e7901f5e7b | 2020-12-11T21:59:19.000Z | [
"pytorch",
"encoder_decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | patrickvonplaten | null | patrickvonplaten/longformer2roberta-cnn_dailymail-fp16 | 269 | 3 | transformers | 3,188 | # Longformer2Roberta Summarization with 🤗 EncoderDecoder Framework
This model is a Longformer2Roberta model fine-tuned on summarization.
Longformer2Roberta is a `EncoderDecoderModel`, meaning that both the encoder is a `allenai/longformer-base-4096` model and the decoder is a `roberta-base` model. Leveraging the [En... |
textattack/roberta-base-imdb | 006b34eb086e2f79774853f5f3d2a33ff86e04fa | 2021-05-20T22:16:19.000Z | [
"pytorch",
"jax",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | textattack | null | textattack/roberta-base-imdb | 269 | null | transformers | 3,189 | ## TextAttack Model Card
This `roberta-base` model was fine-tuned for sequence classification using TextAttack
and the imdb dataset loaded using the `nlp` library. The model was fine-tuned
for 5 epochs with a batch size of 64, a learning
rate of 3e-05, and a maximum sequence length of 128.
Since this was a classifi... |
pollner/dnabertregressor | 9fc0276930efe130e85b12f58a67e7d9f93d0b04 | 2022-07-07T08:17:33.000Z | [
"pytorch",
"tensorboard",
"bert",
"text-classification",
"transformers",
"generated_from_trainer",
"model-index"
] | text-classification | false | pollner | null | pollner/dnabertregressor | 269 | null | transformers | 3,190 | ---
tags:
- generated_from_trainer
model-index:
- name: dnabertregressor
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. -->
# dnabertregressor
This model was train... |
BW/TEST | e380b220ceb1b4e93639abd969cbaf9dc3446564 | 2021-09-02T21:47:04.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | BW | null | BW/TEST | 268 | null | transformers | 3,191 | ---
tags:
- conversational
---
# Rick DialoGPT Model |
deepset/bert-medium-squad2-distilled | 39f285470fb8db38d2528fa514188955d3169493 | 2022-07-26T08:32:02.000Z | [
"pytorch",
"bert",
"question-answering",
"en",
"dataset:squad_v2",
"transformers",
"exbert",
"license:mit",
"model-index",
"autotrain_compatible"
] | question-answering | false | deepset | null | deepset/bert-medium-squad2-distilled | 268 | 1 | transformers | 3,192 | ---
language: en
datasets:
- squad_v2
license: mit
thumbnail: https://thumb.tildacdn.com/tild3433-3637-4830-a533-353833613061/-/resize/720x/-/format/webp/germanquad.jpg
tags:
- exbert
model-index:
- name: deepset/bert-medium-squad2-distilled
results:
- task:
type: question-answering
name: Question Answe... |
rhollings/DialoGPT_small_steverogers | 3b76da6bab7a8240d51fdfe5905f095c0cfa9355 | 2022-02-10T14:45:37.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | rhollings | null | rhollings/DialoGPT_small_steverogers | 268 | null | transformers | 3,193 | ---
tags:
- conversational
---
# Cpt Rogers DialoGPT Model |
DemocracyStudio/generate_nft_content | 72c626ede502840d0d24354f4f9539281e19e923 | 2022-06-15T19:40:23.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | DemocracyStudio | null | DemocracyStudio/generate_nft_content | 268 | null | transformers | 3,194 | # Controllable text generation for the marketing content of NFTs
This repository contains all the information, code and datasets of the "Controllable text generation for the marketing content of NFTs" transformers' model started as a group project at the Machine Learning degree of [opencampus.sh](https://opencampus.sh)... |
cambridgeltl/SapBERT-from-PubMedBERT-fulltext-mean-token | ca29945177d43b09e9fb6cdf5f2ac74dc9ab2625 | 2021-05-24T09:59:29.000Z | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"arxiv:2010.11784",
"transformers"
] | feature-extraction | false | cambridgeltl | null | cambridgeltl/SapBERT-from-PubMedBERT-fulltext-mean-token | 267 | null | transformers | 3,195 | ---
language: en
tags:
- biomedical
- lexical-semantics
datasets:
- UMLS
**[news]** A cross-lingual extension of SapBERT will appear in the main onference of **ACL 2021**! <br>
**[news]** SapBERT will appear in the conference proceedings of **NAACL 2021**!
### SapBERT-PubMedBERT
SapBERT by [Liu et al. (2020)](https:... |
ehdwns1516/bert-base-uncased_SWAG | 41f1703c5e32cea8ad48180e4520184daa9677a7 | 2021-08-05T09:49:18.000Z | [
"pytorch",
"bert",
"multiple-choice",
"transformers"
] | multiple-choice | false | ehdwns1516 | null | ehdwns1516/bert-base-uncased_SWAG | 267 | null | transformers | 3,196 | # ehdwns1516/bert-base-uncased_SWAG
* This model has been trained as a [SWAG dataset](https://huggingface.co/ehdwns1516/bert-base-uncased_SWAG).
* Sentence Inference Multiple Choice DEMO: [Ainize DEMO](https://main-sentence-inference-multiple-choice-ehdwns1516.endpoint.ainize.ai/)
* Sentence Inference Multiple Choic... |
larskjeldgaard/senda | 8de8d068b2cae362622ac8b6b563fa9c585c5520 | 2021-05-19T21:20:48.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"da",
"transformers",
"danish",
"sentiment",
"polarity",
"license:cc-by-4.0"
] | text-classification | false | larskjeldgaard | null | larskjeldgaard/senda | 267 | null | transformers | 3,197 | ---
language: da
tags:
- danish
- bert
- sentiment
- polarity
license: cc-by-4.0
widget:
- text: "Sikke en dejlig dag det er i dag"
---
# Danish BERT fine-tuned for Sentiment Analysis (Polarity)
This model detects polarity ('positive', 'neutral', 'negative') of danish texts.
It is trained and tested on Tweets annotate... |
samitizerxu/wav2vec2-xls-r-300m-zh-CN | 5b34f048b023c51f9042f634269e0b799c0d8785 | 2022-03-23T18:26:06.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"zh-CN",
"dataset:common_voice",
"transformers",
"common_voice",
"generated_from_trainer",
"hf-asr-leaderboard",
"robust-speech-event",
"zh",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | samitizerxu | null | samitizerxu/wav2vec2-xls-r-300m-zh-CN | 267 | 1 | transformers | 3,198 | ---
language:
- zh-CN
license: apache-2.0
tags:
- automatic-speech-recognition
- common_voice
- generated_from_trainer
- hf-asr-leaderboard
- robust-speech-event
- zh
datasets:
- common_voice
model-index:
- name: wav2vec2-xls-r-300m-zh-CN
results:
- task:
name: Automatic Speech Recognition
type: automat... |
tscholak/2jrayxos | cabd69ed524275a74d36044ddc49f2aca55aaabe | 2022-01-10T21:50:53.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:cosql",
"dataset:spider",
"arxiv:2109.05093",
"transformers",
"text2sql",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | tscholak | null | tscholak/2jrayxos | 267 | null | transformers | 3,199 | ---
language:
- en
thumbnail: "https://repository-images.githubusercontent.com/401779782/c2f46be5-b74b-4620-ad64-57487be3b1ab"
tags:
- text2sql
widget:
- "And the concert named Auditions? | concert_singer | stadium : stadium_id, location, name, capacity, highest, lowest, average | singer : sing er_id, name, co... |
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