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 | readme stringlengths 0 186k | embedding list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
IDEA-CCNL/Randeng-Pegasus-238M-Summary-Chinese | 487e7812174e76b913ed0f9f281d5e6963c9d769 | 2022-07-30T02:13:07.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"zh",
"transformers",
"summarization",
"autotrain_compatible"
] | summarization | false | IDEA-CCNL | null | IDEA-CCNL/Randeng-Pegasus-238M-Summary-Chinese | 331 | 2 | transformers | ---
language: zh
tags:
- summarization
inference: False
---
IDEA-CCNL/Randeng-Pegasus-238M-Summary-Chinese model (Chinese) has 238M million parameter, pretrained on 180G Chinese data with GSG task which is stochastically sample important sentences with sampled gap sentence ratios by 25%. The pretraining task just as s... | [
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Chiuchiyin/DialoGPT-small-Donald | ac54baeb0180ab48773855bb0effd50c65b3ba9b | 2022-02-10T20:16:00.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Chiuchiyin | null | Chiuchiyin/DialoGPT-small-Donald | 330 | null | transformers | ---
tags:
- conversational
---
Donald Trump DialoGPT Model built by following tutorial by [Ruolin Zheng](https://youtu.be/Rk8eM1p_xgM).
The data used for training was 2020 presidential debate.
More work is needed to optimize it. I don't have access to larger VRAM. | [
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MagnusChase7/DialoGPT-medium-harrypotter | c7a849a63595340f9d95c375197ebfeeee9fae2b | 2021-10-03T09:35:47.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | MagnusChase7 | null | MagnusChase7/DialoGPT-medium-harrypotter | 330 | null | transformers | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model | [
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0.0... |
HooshvareLab/bert-fa-base-uncased-clf-persiannews | 8e56d26ddcd7e7fdd5eb7b6c99a130e0cd7bcffd | 2021-05-18T20:51:07.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"fa",
"transformers",
"license:apache-2.0"
] | text-classification | false | HooshvareLab | null | HooshvareLab/bert-fa-base-uncased-clf-persiannews | 330 | 2 | transformers | ---
language: fa
license: apache-2.0
---
# ParsBERT (v2.0)
A Transformer-based Model for Persian Language Understanding
We reconstructed the vocabulary and fine-tuned the ParsBERT v1.1 on the new Persian corpora in order to provide some functionalities for using ParsBERT in other scopes!
Please follow the [ParsBERT]... | [
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HooshvareLab/bert-fa-base-uncased-sentiment-snappfood | b6fcfc5e7334c8dbc991153b1406a6f8be547423 | 2021-05-18T21:00:55.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"fa",
"transformers",
"license:apache-2.0"
] | text-classification | false | HooshvareLab | null | HooshvareLab/bert-fa-base-uncased-sentiment-snappfood | 330 | null | transformers | ---
language: fa
license: apache-2.0
---
# ParsBERT (v2.0)
A Transformer-based Model for Persian Language Understanding
We reconstructed the vocabulary and fine-tuned the ParsBERT v1.1 on the new Persian corpora in order to provide some functionalities for using ParsBERT in other scopes!
Please follow the [ParsBERT](... | [
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-0.04247161000967026,
0.023251527920365334,
-0.019597146660089493,
0.0411275252699852,
0.01... |
Julianqll/DialoGPT-small-ricksanchez | 4a8787b15e15c8feef90c700e2bfb82fb24ff80e | 2021-08-30T05:50:47.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Julianqll | null | Julianqll/DialoGPT-small-ricksanchez | 330 | null | transformers | ---
tags:
- conversational
---
# Rick Sanchez DialoGPT Model | [
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0.0... |
Kryptone/Burobot | 1ca47a3ebc5c3558bd1f84a3919087ba271947b5 | 2021-09-14T15:20:45.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Kryptone | null | Kryptone/Burobot | 330 | null | transformers | ---
tags:
- conversational
---
# Buro discord bot | [
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-0... |
marshmellow77/roberta-base-cuad | 15d33c83a243fb039ce648bb2f08ec890f5b682f | 2021-12-10T15:22:42.000Z | [
"pytorch",
"roberta",
"question-answering",
"en",
"dataset:cuad",
"transformers",
"autotrain_compatible"
] | question-answering | false | marshmellow77 | null | marshmellow77/roberta-base-cuad | 330 | null | transformers | ---
language: en
datasets:
- cuad
---
# RoBERTa Base Model fine-tuned with CUAD dataset
This model is the fine-tuned version of "RoBERTa Base"
using CUAD dataset https://huggingface.co/datasets/cuad
Link for model checkpoint: https://github.com/TheAtticusProject/cuad
For the use of the model with CUAD: https://gith... | [
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cffl/bart-base-styletransfer-subjective-to-neutral | a86005a5aa18bb88b513344a08fb63c7f1698461 | 2022-07-12T11:58:08.000Z | [
"pytorch",
"bart",
"text2text-generation",
"arxiv:1911.09709",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | cffl | null | cffl/bart-base-styletransfer-subjective-to-neutral | 330 | 1 | transformers | ---
license: apache-2.0
---
# bart-base-styletransfer-subjective-to-neutral
## Model description
This [facebook/bart-base](https://huggingface.co/facebook/bart-base) model has been fine-tuned on the [Wiki Neutrality Corpus (WNC)](https://arxiv.org/pdf/1911.09709.pdf) - a parallel corpus of 180,000 biased and neutral... | [
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0.0... |
anon-submission-mk/bert-base-macedonian-cased | 7dba83429927adc743a394f4c666fca84724dfdc | 2021-05-18T23:40:49.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | anon-submission-mk | null | anon-submission-mk/bert-base-macedonian-cased | 329 | null | transformers | Entry not found | [
0.0461147278547287,
-0.038838207721710205,
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0.011261860840022564,
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-0.015212527476251125,
0.017284274101257324,
-0.08189476281404495,
0.03817418962717056,
-0.... |
Babysittingyoda/DialoGPT-small-Peter | 10eeb89ef461346db155050337745664ec12738b | 2022-06-13T01:21:20.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Babysittingyoda | null | Babysittingyoda/DialoGPT-small-Peter | 329 | null | transformers | ---
tags:
- conversational
---
#A Peter DialoGPT Model | [
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0.04243703559041023,
-0.0484483428299427,
-0.028640123084187508,
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-0.052115652710199356,
-0.027883699163794518,
-0.04809551686048508,
0.02... |
DTAI-KULeuven/robbertje-1-gb-shuffled | ab3674050f63304c795e20af154579ec69440594 | 2022-02-24T09:56:22.000Z | [
"pytorch",
"roberta",
"fill-mask",
"nl",
"dataset:oscar",
"dataset:oscar (NL)",
"dataset:dbrd",
"dataset:lassy-ud",
"dataset:europarl-mono",
"dataset:conll2002",
"arxiv:2101.05716",
"transformers",
"Dutch",
"Flemish",
"RoBERTa",
"RobBERT",
"RobBERTje",
"license:mit",
"autotrain_c... | fill-mask | false | DTAI-KULeuven | null | DTAI-KULeuven/robbertje-1-gb-shuffled | 328 | null | transformers | ---
language: "nl"
thumbnail: "https://github.com/iPieter/RobBERT/raw/master/res/robbert_logo.png"
tags:
- Dutch
- Flemish
- RoBERTa
- RobBERT
- RobBERTje
license: mit
datasets:
- oscar
- oscar (NL)
- dbrd
- lassy-ud
- europarl-mono
- conll2002
widget:
- text: "Hallo, ik ben RobBERTje, een gedistilleerd <mask> taalmode... | [
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-0.0012620... |
Helsinki-NLP/opus-mt-en-dra | 4cd7913fc9e4c9df6bbcf8f92fab3de9e9e5fd98 | 2021-01-18T08:06:48.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"ta",
"kn",
"ml",
"te",
"dra",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-dra | 328 | 1 | transformers | ---
language:
- en
- ta
- kn
- ml
- te
- dra
tags:
- translation
license: apache-2.0
---
### eng-dra
* source group: English
* target group: Dravidian languages
* OPUS readme: [eng-dra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-dra/README.md)
* model: transformer
* source langua... | [
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... |
NlpHUST/t5-en-vi-small | bcda135603448b2cefd83d9959d384cd606332c3 | 2021-06-23T03:33:59.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"arxiv:1706.05565",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | NlpHUST | null | NlpHUST/t5-en-vi-small | 328 | 1 | transformers | # T5-EN-VI-SMALL:Pretraining Text-To-Text Transfer Transformer for English Vietnamese Translation
# Dataset
The *IWSLT'15 English-Vietnamese* data is used from [Stanford NLP group](https://nlp.stanford.edu/projects/nmt/).
For all experiments the corpus was split into training, development and test set:
| Data set ... | [
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... |
bhaden94/LokiDiscordBot-medium | dc65475340ed8d3e5690e5c4060596c59a213a9a | 2021-09-03T19:04:04.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | bhaden94 | null | bhaden94/LokiDiscordBot-medium | 328 | null | transformers | ---
tags:
- conversational
---
# Loki GPT Dialog Bot | [
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0.014791679568588734,
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0.0... |
ncoop57/DiGPTame-medium | 09ff72a405794d4a7305b2062854ca8085b4f94a | 2021-05-23T10:47:17.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"arxiv:1911.00536",
"transformers",
"conversational",
"license:mit"
] | conversational | false | ncoop57 | null | ncoop57/DiGPTame-medium | 328 | null | transformers | ---
tags:
- conversational
license: mit
---
## Finetuned DialoGPT model on Spanish Conversations
This model was finetuned from the original [DialoGPT-medium](https://huggingface.co/microsoft/DialoGPT-medium) model on subtitles from Spanish movies and telenovelas from the awesome [OpenSubtitle dataset](https://github.... | [
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0.... |
huggingtweets/tylerthecreator | ccb4fc494f22c35859d54f75789c64b307d90b80 | 2021-05-23T03:09:32.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/tylerthecreator | 327 | null | transformers | ---
language: en
thumbnail: https://www.huggingtweets.com/tylerthecreator/1608310160581/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 ... | [
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-0.030202783... |
ludowoods/KujouSara | da23023f75c5a8000f5902020cff276ff61f2660 | 2021-10-16T19:11:48.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ludowoods | null | ludowoods/KujouSara | 327 | null | transformers | ---
tags:
- conversational
---
# Kujou Sara bot
| [
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-0.0... |
mrm8488/bert-spanish-cased-finetuned-pos | 19a26179150a6af192ec694481fb021f00bce074 | 2021-05-20T00:38:26.000Z | [
"pytorch",
"jax",
"bert",
"token-classification",
"es",
"transformers",
"POS",
"Spanish",
"autotrain_compatible"
] | token-classification | false | mrm8488 | null | mrm8488/bert-spanish-cased-finetuned-pos | 327 | 1 | transformers | ---
language: es
thumbnail: https://i.imgur.com/jgBdimh.png
tags:
- POS
- Spanish
widget:
- text: "Mis amigos y yo estamos pensando en viajar a Londres este verano."
---
# Spanish BERT (BETO) + POS
This model is a fine-tuned on Spanish [CONLL CORPORA](https://www.kaggle.com/nltkdata/conll-corpora) version of the Spa... | [
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Bman/DialoGPT-medium-dora | 63224db7f2e6a3b3b0c82180cc2552cd08377234 | 2022-06-25T15:38:51.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Bman | null | Bman/DialoGPT-medium-dora | 327 | null | transformers | ---
tags:
- conversational
---
# Dora DialoGPT Model | [
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-0.042525239288806915,
-0.048810020089149475... |
felinecity/ScaraBot | a769fdc0fea23a98f6f839e7edf765623c60f0e9 | 2022-01-25T22:33:56.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | felinecity | null | felinecity/ScaraBot | 326 | null | transformers | ---
tags:
- conversational
---
# DioloGPT KaeyaBot model | [
-0.0948292538523674,
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-0.0682239904999733,
-0.005334032699465752,
0.0... |
nsi319/legal-led-base-16384 | d1c0c7730126e04e5c1efd991ef78f4eb0513def | 2021-03-01T12:33:48.000Z | [
"pytorch",
"led",
"text2text-generation",
"en",
"transformers",
"summarization",
"license:mit",
"autotrain_compatible"
] | summarization | false | nsi319 | null | nsi319/legal-led-base-16384 | 326 | null | transformers | ---
language: en
tags: summarization
metrics:
- rouge
- precision
inference: false
license: mit
---
## LED for legal summarization of documents
This is a Longformer Encoder Decoder ([led-base-16384](https://huggingface.co/allenai/led-base-16384)) model for the **legal domain**, trained for **long document abstractive ... | [
-0.07348014414310455,
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0.0143058393150568,
0.02837175875902176,
0.0016502324724569917,
0.0003927895741071552,
0.01... |
speechbrain/lang-id-commonlanguage_ecapa | 550305dcb9c861cabbfbf1a2a092f53024d5e021 | 2021-11-30T00:47:40.000Z | [
"en",
"dataset:Urbansound8k",
"arxiv:2106.04624",
"speechbrain",
"audio-classification",
"embeddings",
"Language",
"Identification",
"pytorch",
"ECAPA-TDNN",
"TDNN",
"CommonLanguage",
"license:apache-2.0"
] | audio-classification | false | speechbrain | null | speechbrain/lang-id-commonlanguage_ecapa | 326 | 13 | speechbrain | ---
language: "en"
thumbnail:
tags:
- audio-classification
- speechbrain
- embeddings
- Language
- Identification
- pytorch
- ECAPA-TDNN
- TDNN
- CommonLanguage
license: "apache-2.0"
datasets:
- Urbansound8k
metrics:
- Accuracy
widget:
- example_title: English Sample
src: https://cdn-media.huggingface.co/speech_sampl... | [
-0.13085858523845673,
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-0... |
Lenza/DialoGPT-medium-Kobayashi | 87299c4e1c60f65fd557e04632c76c71bc164670 | 2021-08-28T11:24:03.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Lenza | null | Lenza/DialoGPT-medium-Kobayashi | 325 | null | transformers | ---
tags:
- conversational
---
#Kobayashi DialoGPT Model | [
-0.015698427334427834,
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0.04339044913649559,
-0.03652989864349365,
0.0010854192078113556,
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0.11452564597129822,
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0.10489189624786377,
-0.06675931066274643,
0.0748671442270279,
-0.0707990974187851,
-0.011510496959090233,
0.0087... |
aware-ai/bart-squadv2 | 1e4c70c05ad41362893cca503307897391fba985 | 2020-12-11T21:30:58.000Z | [
"pytorch",
"bart",
"question-answering",
"dataset:squad_v2",
"arxiv:1910.13461",
"transformers",
"autotrain_compatible"
] | question-answering | false | aware-ai | null | aware-ai/bart-squadv2 | 325 | null | transformers | ---
datasets:
- squad_v2
---
# BART-LARGE finetuned on SQuADv2
This is bart-large model finetuned on SQuADv2 dataset for question answering task
## Model details
BART was propsed in the [paper](https://arxiv.org/abs/1910.13461) **BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Tran... | [
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0.00066100072581321,
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-0.... |
adviksinghania/DialoGPT-medium-rick | d5ee9c4f127d968224dcaf7a6cfc73a9788c3a71 | 2021-09-06T16:15:05.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | adviksinghania | null | adviksinghania/DialoGPT-medium-rick | 325 | null | transformers | ---
tags:
- conversational
---
# Rick DialoGPT medium model | [
-0.06956614553928375,
-0.05871392413973808,
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-0.036776334047317505,
0.05264860764145851,
-0.02426813542842865,
0.09311813116073608,
0.03547263517975807,
0.05230819061398506,
-0.009856711141765118,
-0.011183350346982479,
-0.027463408187031746,
0.018824569880962372,
0.011... |
lucas-bo/DialogGPT-small-yoda | 5b4edb4ce419b400e1dac8b874bfbb344e7ebe43 | 2021-09-08T02:07:10.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | lucas-bo | null | lucas-bo/DialogGPT-small-yoda | 325 | null | transformers | ---
tags:
- conversational
---
# Yoda DiaglogGPT model | [
-0.004374814219772816,
-0.023585272952914238,
0.05151112377643585,
-0.07842714339494705,
-0.02147503010928631,
-0.03122081607580185,
0.0704549178481102,
0.006629107519984245,
0.03327880799770355,
-0.06137058511376381,
0.014535775408148766,
-0.03498592972755432,
-0.06882880628108978,
0.0293... |
lysandre/tapas-temporary-repo | 226e9627f561d28b3d9bb4f81b63351fa6c05bc9 | 2020-12-17T15:56:06.000Z | [
"pytorch",
"tapas",
"table-question-answering",
"en",
"dataset:sqa",
"arxiv:2004.02349",
"arxiv:2010.00571",
"transformers",
"license:apache-2.0"
] | table-question-answering | false | lysandre | null | lysandre/tapas-temporary-repo | 325 | null | transformers | ---
language: en
tags:
- tapas
license: apache-2.0
datasets:
- sqa
---
# TAPAS base model fine-tuned on Sequential Question Answering (SQA)
This model has 4 versions which can be used. The latest version, which is the default one, corresponds to the `tapas_sqa_inter_masklm_base_reset` checkpoint of the [original Gith... | [
-0.04935777187347412,
-0.15736854076385498,
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-0.061994872987270355,
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0.007796828169375658,
0.051332738250494,
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0.009352033957839012,
-0.017... |
p208p2002/bart-squad-qg-hl | d818d18f14a766e59fa1c8e49b5118b75e175c77 | 2021-05-03T03:17:22.000Z | [
"pytorch",
"bart",
"text2text-generation",
"dataset:squad",
"arxiv:1606.05250",
"arxiv:1705.00106",
"transformers",
"question-generation",
"autotrain_compatible"
] | text2text-generation | false | p208p2002 | null | p208p2002/bart-squad-qg-hl | 325 | 1 | transformers | ---
datasets:
- squad
tags:
- question-generation
widget:
- text: "Harry Potter is a series of seven fantasy novels written by British author, [HL]J. K. Rowling[HL]."
---
# Transformer QG on SQuAD
HLQG is Proposed by [Ying-Hong Chan & Yao-Chung Fan. (2019). A Re-current BERT-based Model for Question Generation.](https... | [
-0.17146360874176025,
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-0.001143269008025527,
-0.05542540177702904,
0.10238569974899292,
0.01745087094604969,
0.012866857461631298,
0.06700769811868668,
-0.01630214974284172,
0.01786326803267002,
-0.06105741485953331,
0.03163091465830803,
0.01289... |
z-uo/roberta-qasper | bd64e89ed2dfc11993cf33b806287d178d75fd1b | 2022-03-08T18:40:11.000Z | [
"pytorch",
"roberta",
"question-answering",
"en",
"dataset:z-uo/qasper-squad",
"transformers",
"question_answering",
"autotrain_compatible"
] | question-answering | false | z-uo | null | z-uo/roberta-qasper | 325 | 1 | transformers | ---
language: en
tags:
- question_answering
datasets:
- z-uo/qasper-squad
---
# roberta-base for QA with qasper
Train from deepset/roberta-base-squad2.
How to use by python code:
```python
from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
# Load model with pipeline
model_name = "z-uo/ro... | [
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... |
voidism/diffcse-bert-base-uncased-sts | ea605f716bd57f97407640374487c2c9effc94af | 2022-05-01T19:18:45.000Z | [
"pytorch",
"bert",
"feature-extraction",
"arxiv:2204.10298",
"arxiv:2104.08821",
"arxiv:2111.00899",
"transformers",
"license:apache-2.0"
] | feature-extraction | false | voidism | null | voidism/diffcse-bert-base-uncased-sts | 325 | 1 | transformers | ---
license: apache-2.0
---
# DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings
[](https://github.com/voidism/DiffCSE/)
[](https://colab.rese... | [
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-0.022422486916184425,
0.00740757817402482,
0.022350141778588295,
0.01779860258102417,
0.0... |
Obscurity/DialoGPT-Medium-707 | 3bfc11d16beab7f6028b87ee45d5d30fac5090e0 | 2021-08-28T18:53:54.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Obscurity | null | Obscurity/DialoGPT-Medium-707 | 324 | null | transformers | ---
tags:
- conversational
---
# 707 DialoGPT Model | [
-0.05207222327589989,
-0.04763492941856384,
0.02085288241505623,
0.004012152086943388,
0.012067520059645176,
-0.030450427904725075,
0.13607901334762573,
0.016878070309758186,
0.048997581005096436,
-0.018340453505516052,
-0.0325457900762558,
-0.04279077798128128,
-0.0027689854614436626,
0.0... |
Rei/DialoGPT-medium-kurisu | 95c48ba105bcdbd36dfa091c6c6b2a5524341730 | 2021-09-20T16:10:42.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Rei | null | Rei/DialoGPT-medium-kurisu | 324 | null | transformers | ---
tags:
- conversational
---
# Steins Gate DialoGPT Model | [
-0.03310211002826691,
-0.041785966604948044,
-0.020169803872704506,
-0.014096984639763832,
0.04493541270494461,
-0.032073281705379486,
0.06533991545438766,
0.022157512605190277,
0.15860693156719208,
-0.014383767731487751,
-0.061146240681409836,
0.013209527358412743,
-0.06511925905942917,
0... |
microsoft/trocr-small-handwritten | 9354dd58d4731469414774dd0595f551f68700fa | 2022-07-01T07:38:58.000Z | [
"pytorch",
"vision-encoder-decoder",
"arxiv:2109.10282",
"transformers",
"trocr",
"image-to-text"
] | image-to-text | false | microsoft | null | microsoft/trocr-small-handwritten | 324 | 1 | transformers | ---
tags:
- trocr
- image-to-text
---
# TrOCR (small-sized model, fine-tuned on IAM)
TrOCR model fine-tuned on the [IAM dataset](https://fki.tic.heia-fr.ch/databases/iam-handwriting-database). It was introduced in the paper [TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models](https://arxi... | [
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0.10115525126457214,
0.04514685273170471,
-0.015010504052042961,
0.0478... |
severinsimmler/literary-german-bert | 4d9e53e27ed2952ad17392a62749ebb9f097dc5c | 2021-05-20T05:47:20.000Z | [
"pytorch",
"jax",
"bert",
"token-classification",
"de",
"transformers",
"autotrain_compatible"
] | token-classification | false | severinsimmler | null | severinsimmler/literary-german-bert | 324 | null | transformers | ---
language: de
thumbnail: https://huggingface.co/severinsimmler/literary-german-bert/raw/main/kfold.png
---
# German BERT for literary texts
This German BERT is based on `bert-base-german-dbmdz-cased`, and has been adapted to the domain of literary texts by fine-tuning the language modeling task on the [Corpus of G... | [
-0.12165581434965134,
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0.09983935952186584,
-0.02681775577366352,
0.08177687972784042,
0.04824243485927582,
0.016919635236263275,
0.011036989279091358,
0.018530825152993202,
-0.009359163232147694,
0.07... |
jackyv/DialoGPT-small-pinocchio | f9c4e9450abc108eb0f450effcb117ce6f0fd7e7 | 2022-03-05T21:03:55.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | jackyv | null | jackyv/DialoGPT-small-pinocchio | 324 | 1 | transformers | ---
tags:
- conversational
---
# Pinocchio DialoGPT Model | [
-0.0302625373005867,
-0.05283225700259209,
0.003975237719714642,
0.020359983667731285,
0.003376932116225362,
-0.06173325702548027,
0.10534419119358063,
-0.005385972559452057,
0.06432490050792694,
-0.04824773222208023,
0.022510871291160583,
-0.009793846867978573,
-0.02886747196316719,
0.035... |
Helsinki-NLP/opus-mt-tc-big-en-it | 8936867c615786321da1dac905a9f171e7dcb69c | 2022-06-01T13:03:51.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"it",
"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-it | 324 | 2 | transformers | ---
language:
- en
- it
tags:
- translation
- opus-mt-tc
license: cc-by-4.0
model-index:
- name: opus-mt-tc-big-en-it
results:
- task:
name: Translation eng-ita
type: translation
args: eng-ita
dataset:
name: flores101-devtest
type: flores_101
args: eng ita devtest
metrics... | [
-0.016379885375499725,
0.00017049151938408613,
-0.013225422240793705,
-0.012131896801292896,
0.006604607682675123,
0.009840709157288074,
0.023117143660783768,
-0.006363350432366133,
0.029553642496466637,
-0.020243020728230476,
0.002399392891675234,
-0.1568264216184616,
-0.0320071242749691,
... |
damianruel/DialoGPT-medium-MySon | c002fb779f092056d61d90565e5cc6feddd42aae | 2022-06-17T01:37:18.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | damianruel | null | damianruel/DialoGPT-medium-MySon | 324 | null | transformers | ---
tags:
- conversational
---
# me fr | [
-0.053859513252973557,
0.02083617076277733,
0.037992365658283234,
-0.016266604885458946,
0.08027791231870651,
-0.046286873519420624,
0.21219350397586823,
0.08816226571798325,
0.0803685262799263,
-0.0015943336766213179,
-0.017522290349006653,
-0.07321032881736755,
0.014957258477807045,
0.01... |
Devid/DialoGPT-small-Miku | 6f68713dc2b12dbbb841b11143283b23d9ef9329 | 2022-01-23T14:35:33.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Devid | null | Devid/DialoGPT-small-Miku | 323 | null | transformers | ---
tags:
- conversational
---
# Miku DialogGPT Model | [
-0.07713080942630768,
-0.04304030165076256,
0.04696822166442871,
-0.01638605445623398,
0.010103615000844002,
-0.06530741602182388,
0.09043674170970917,
0.0829760804772377,
0.06428059190511703,
-0.01907098852097988,
-0.02011296898126602,
0.0084807388484478,
0.011724498122930527,
0.052426237... |
GunjanPantha/DialoGPT-small-gameofthrones | 6ea9fe613eeaa6593c58ac0aeb1b1702e8d9b84a | 2021-08-27T17:39:14.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | GunjanPantha | null | GunjanPantha/DialoGPT-small-gameofthrones | 323 | null | transformers | ---
tags:
- conversational
---
# Game of Thrones DialoGPT Model | [
-0.043418727815151215,
-0.02256583608686924,
0.01805311255156994,
-0.04260043799877167,
0.04025052860379219,
-0.0259059127420187,
0.1038561537861824,
0.010646785609424114,
0.10903718322515488,
0.008879357948899269,
-0.09123875200748444,
-0.04625219479203224,
-0.0017277842853218317,
-0.0302... |
NlpHUST/vi-electra-small | 9314e65994a0581b738693693753f358f832f65b | 2021-08-10T03:35:44.000Z | [
"pytorch",
"electra",
"pretraining",
"transformers"
] | null | false | NlpHUST | null | NlpHUST/vi-electra-small | 323 | null | transformers | Entry not found | [
0.0461147278547287,
-0.038838207721710205,
-0.01049656979739666,
-0.03682169318199158,
0.011261860840022564,
0.013094935566186905,
0.0019101888174191117,
-0.013979103416204453,
0.027092741802334785,
-0.015212527476251125,
0.017284274101257324,
-0.08189476281404495,
0.03817418962717056,
-0.... |
asahi417/tner-xlm-roberta-large-uncased-ontonotes5 | 8b6a4ccc50c21adea5a20ce03248923d25c3a898 | 2021-02-13T00:12:08.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | asahi417 | null | asahi417/tner-xlm-roberta-large-uncased-ontonotes5 | 323 | null | transformers | # XLM-RoBERTa for NER
XLM-RoBERTa finetuned on NER. Check more detail at [TNER repository](https://github.com/asahi417/tner).
## Usage
```
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("asahi417/tner-xlm-roberta-large-uncased-ontonotes5")
... | [
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eliasedwin7/MalayalamBERT | 3cbd5464c3fb14fed5afa4cf7c6ae38bc3b90719 | 2021-05-20T16:17:31.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | eliasedwin7 | null | eliasedwin7/MalayalamBERT | 323 | 1 | transformers | Entry not found | [
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-0.... |
Helsinki-NLP/opus-mt-en-ml | d467d0e5de51911e2953bab444f3694ad4bb68cd | 2021-09-09T21:37:43.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"ml",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-ml | 322 | 1 | transformers | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-ml
* source languages: en
* target languages: ml
* OPUS readme: [en-ml](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ml/README.md)
* dataset: opus+bt+bt
* model: transformer-align
* pre-processing: normalization + SentencePiece
*... | [
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Keen/DialoGPT-small-potter | 9bfb4f71ee77b5f485713a18112131361dc723f6 | 2021-08-26T16:15:37.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Keen | null | Keen/DialoGPT-small-potter | 322 | null | transformers | ---
tags:
- conversational
---
#Harry Potter DialoGPT Model | [
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0.0... |
Sedge/DialoGPT-small-Sedge | 6fc72979fb032b670db84d0d4365912a477aa32e | 2021-09-04T14:50:57.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Sedge | null | Sedge/DialoGPT-small-Sedge | 322 | null | transformers | ---
tags:
- conversational
---
# Sedged DialoGPT Model | [
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-0.0... |
mrm8488/mobilebert-uncased-finetuned-squadv2 | aaecbbe378c88bca89e94123fc122027fa85d9dc | 2020-12-11T21:54:44.000Z | [
"pytorch",
"mobilebert",
"question-answering",
"en",
"dataset:squad_v2",
"arxiv:2004.02984",
"transformers",
"autotrain_compatible"
] | question-answering | false | mrm8488 | null | mrm8488/mobilebert-uncased-finetuned-squadv2 | 322 | null | transformers | ---
language: en
datasets:
- squad_v2
---
# MobileBERT + SQuAD v2 📱❓
[mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) fine-tuned on [SQUAD v2.0 dataset](https://rajpurkar.github.io/SQuAD-explorer/explore/v2.0/dev/) for **Q&A** downstream task.
## Details of the downstream task (Q&A) - Model 🧠... | [
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apple/deeplabv3-mobilevit-xx-small | 98bfa3a97c4cbb3aeec2729700e253626ad3f37a | 2022-06-02T10:51:50.000Z | [
"pytorch",
"coreml",
"mobilevit",
"dataset:pascal-voc",
"arxiv:2110.02178",
"arxiv:1706.05587",
"transformers",
"vision",
"image-segmentation",
"license:other"
] | image-segmentation | false | apple | null | apple/deeplabv3-mobilevit-xx-small | 322 | null | transformers | ---
license: other
tags:
- vision
- image-segmentation
datasets:
- pascal-voc
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/cat-2.jpg
example_title: Cat
---
# MobileViT + DeepLabV3 (extra extra small-sized model)
MobileViT model pre-trained on PASCAL VOC at resolution 512x512. It ... | [
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-0... |
casperthegazer/DiabloGPT-medium-lukedot | 5f1b50dffb79601644d51294d4f35081ba2e9434 | 2022-07-08T00:44:19.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | casperthegazer | null | casperthegazer/DiabloGPT-medium-lukedot | 322 | null | transformers | ---
tags:
- conversational
---
# Luke Dot DiabloGPT Model | [
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0.00... |
Navya2608/DialoGPT-small-tonystarkscript | 3081357fa1f84e398e3f109331be4773291f775a | 2021-11-03T08:57:32.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Navya2608 | null | Navya2608/DialoGPT-small-tonystarkscript | 321 | null | transformers | ---
tags:
- conversational
---
# Tony Stark dialoGPT model | [
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0.0... |
transformersbook/distilbert-base-uncased-distilled-clinc | 0bebc777ca5e752414f583b61261b102ca45c606 | 2022-02-05T16:47:39.000Z | [
"pytorch",
"distilbert",
"text-classification",
"dataset:clinc_oos",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | transformersbook | null | transformersbook/distilbert-base-uncased-distilled-clinc | 321 | 1 | transformers | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-distilled-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
args: plus
... | [
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yseop/distilbert-base-financial-relation-extraction | e8ad8cf4e022cdf453336f2604c7c69edd9881d4 | 2021-10-25T07:33:13.000Z | [
"pytorch",
"feature-extraction",
"text-classification"
] | text-classification | false | yseop | null | yseop/distilbert-base-financial-relation-extraction | 321 | 1 | null | ---
inference: true
pipeline_tag: text-classification
tags:
- feature-extraction
- text-classification
library: pytorch
---
<div style="clear: both;">
<div style="float: left; margin-right 1em;">
<h1><strong>FReE (Financial Relation Extraction)</strong></h1>
</div>
<div>
<h2><img src="https://pbs.twimg.c... | [
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0.0285... |
FourthBrain/bert_model_reddit_tsla | 75c60e462ca3d06e1182985fac4a457f7bf13636 | 2022-06-29T19:00:03.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-classification | false | FourthBrain | null | FourthBrain/bert_model_reddit_tsla | 321 | null | transformers | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert_model_reddit_tsla
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this com... | [
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bloom-testing/test-bloomd-350m-fix-branch-name | b1d22ceabbc7e12803fd4592b35810e2150125a6 | 2022-07-22T19:31:20.000Z | [
"pytorch",
"bloom",
"feature-extraction",
"transformers"
] | feature-extraction | false | bloom-testing | null | bloom-testing/test-bloomd-350m-fix-branch-name | 321 | null | transformers | Entry not found | [
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-0.... |
aced/DialoGPT-medium-3PO | cd5d0b9000acfb097d4d1c13b6382bb2ec4d4aeb | 2021-08-29T02:03:01.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | aced | null | aced/DialoGPT-medium-3PO | 320 | null | transformers | ---
tags:
- conversational
---
#3PO | [
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-0.0... |
danyaljj/gpt2_question_generation_given_paragraph | 8734b60093168c44eae0ebb696c6229eaf939717 | 2021-06-17T18:23:28.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | danyaljj | null | danyaljj/gpt2_question_generation_given_paragraph | 320 | null | transformers | Sample usage:
```python
tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
model = GPT2LMHeadModel.from_pretrained("danyaljj/gpt2_question_generation_given_paragraph")
input_ids = tokenizer.encode("There are two apples on the counter. Q:", return_tensors="pt")
outputs = model.generate(input_ids)
print("Generated:", t... | [
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huggingtweets/uckerssket | 970b32e69c38c6cfa8023b370ddf8603d7c525fe | 2021-05-23T03:14:16.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/uckerssket | 320 | null | transformers | ---
language: en
thumbnail: https://www.huggingtweets.com/uckerssket/1617904760482/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/13647307790083... | [
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0.00848135... |
HYPJUDY/layoutlmv3-large-finetuned-funsd | 077a24a6d5545da0d2bf3435f05288dc4e4b77bc | 2022-07-19T02:24:45.000Z | [
"pytorch",
"tensorboard",
"layoutlmv3",
"token-classification",
"arxiv:2204.08387",
"transformers",
"license:mit",
"autotrain_compatible"
] | token-classification | false | HYPJUDY | null | HYPJUDY/layoutlmv3-large-finetuned-funsd | 320 | 2 | transformers | ---
license: mit
---
# layoutlmv3-large-finetuned-funsd
The model [layoutlmv3-large-finetuned-funsd](https://huggingface.co/HYPJUDY/layoutlmv3-large-finetuned-funsd) is fine-tuned on the FUNSD dataset initialized from [microsoft/layoutlmv3-large](https://huggingface.co/microsoft/layoutlmv3-large).
This finetuned model... | [
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-... |
OFA-Sys/OFA-tiny | 90e02933ae29b4daffd70199cf630760e9eb764b | 2022-07-25T11:52:22.000Z | [
"pytorch",
"ofa",
"transformers",
"license:apache-2.0"
] | null | false | OFA-Sys | null | OFA-Sys/OFA-tiny | 320 | 1 | transformers | ---
license: apache-2.0
---
# OFA-tiny
This is the **tiny** version of OFA pretrained model. OFA is a unified multimodal pretrained model that unifies modalities (i.e., cross-modality, vision, language) and tasks (e.g., image generation, visual grounding, image captioning, image classification, text generation, etc.) ... | [
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ganeshkharad/gk-hinglish-sentiment | 91bc6254790d67d83b498918799cf604178476e6 | 2021-05-19T17:01:35.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"hi-en",
"dataset:sail",
"transformers",
"sentiment",
"multilingual",
"hindi codemix",
"hinglish",
"license:apache-2.0"
] | text-classification | false | ganeshkharad | null | ganeshkharad/gk-hinglish-sentiment | 319 | 2 | transformers | ---
language:
- hi-en
tags:
- sentiment
- multilingual
- hindi codemix
- hinglish
license: apache-2.0
datasets:
- sail
---
# Sentiment Classification for hinglish text: `gk-hinglish-sentiment`
## Model description
Trained small amount of reviews dataset
## Intended uses & limitations
I wanted something to work w... | [
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0.00... |
huggingface-course/codeparrot-ds | c2d102b31841070de1e8928282e845caa63d124e | 2021-11-11T17:32:45.000Z | [
"pytorch",
"tf",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | huggingface-course | null | huggingface-course/codeparrot-ds | 319 | null | transformers | Entry not found | [
0.0461147278547287,
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0.011261860840022564,
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-0.... |
rbawden/modern_french_normalisation | 713121a5758884d53f46ceb01c2ec2c2e00177b2 | 2022-07-22T17:41:33.000Z | [
"pytorch",
"fsmt",
"fr",
"transformers",
"license:cc-by-4.0"
] | null | false | rbawden | null | rbawden/modern_french_normalisation | 319 | null | transformers | ---
language: fr
license: cc-by-4.0
---
# Modern French normalisation model
Normalisation model from Modern (17th c.) French to contemporary French. It was introduced in [this paper](https://hal.inria.fr/hal-03540226/) (see citation below). The main research repository can be found [here](https://github.com/rbawden/... | [
-0.054296497255563736,
-0.09652619063854218,
0.005810924340039492,
-0.02260076254606247,
0.00790765043348074,
0.035477519035339355,
-0.04627442732453346,
0.06265777349472046,
0.015328623354434967,
-0.006321071647107601,
0.035805799067020416,
-0.011979222297668457,
0.07416751235723495,
0.02... |
crodri/roberta-base-ca-v2-qa-catalanqa | ecb8038762486ab0039d1a1224ad52e87b5720e9 | 2022-06-14T06:11:33.000Z | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"license:cc0-1.0",
"autotrain_compatible"
] | question-answering | false | crodri | null | crodri/roberta-base-ca-v2-qa-catalanqa | 319 | null | transformers | ---
license: cc0-1.0
---
The roberta-base-ca-cased-qa is a Question Answering (QA) model for the Catalan language fine-tuned from the BERTa model, a RoBERTa base model pre-trained on a medium-size corpus collected from publicly available corpora and crawlers (check the BERTa model card for more details).
Datasets
We ... | [
-0.06767639517784119,
-0.04850110039114952,
0.0018146255752071738,
0.01685989275574684,
-0.09647295624017715,
0.09951946139335632,
-0.0031149263959378004,
0.049789946526288986,
0.018894923850893974,
0.014940784312784672,
-0.03283051401376724,
-0.06000681221485138,
0.006467472296208143,
0.0... |
Erikaka/DialoGPT-small-loki | 7e6f8ce678ddb35c5f5124c65742f6e15cf9b04b | 2021-09-10T13:32:41.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Erikaka | null | Erikaka/DialoGPT-small-loki | 318 | null | transformers | ---
tags:
- conversational
---
#Loki DialoGPT Model | [
-0.052489813417196274,
-0.07167647778987885,
0.021878309547901154,
-0.005808766931295395,
0.038353461772203445,
-0.06251689046621323,
0.08734285086393356,
0.03908175975084305,
0.08888798952102661,
-0.015205985866487026,
-0.01517742220312357,
-0.05670679733157158,
-0.0259286817163229,
0.052... |
Helsinki-NLP/opus-mt-fr-ru | 523f08bfff357bd88e348d2acafe1743d3540829 | 2021-09-09T21:56:27.000Z | [
"pytorch",
"marian",
"text2text-generation",
"fr",
"ru",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-fr-ru | 318 | null | transformers | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-fr-ru
* source languages: fr
* target languages: ru
* OPUS readme: [fr-ru](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ru/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
-0.054736413061618805,
-0.034142863005399704,
0.013472630642354488,
-0.002920056227594614,
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0.10160183161497116,
-0.04781092703342438,
0.0420355424284935,
0.02921421267092228,
-0.012529952451586723,
-0.0008184599573723972,
-0.03513548523187637,
-0.06729590147733688,
-0... |
SaffronIce/DialoGPT-medium-Jett | 3beff10cb5ef69497a82b12a43cfc86e160cf55a | 2021-08-26T22:49:06.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | SaffronIce | null | SaffronIce/DialoGPT-medium-Jett | 318 | null | transformers | ---
tags:
- conversational
---
# Jett DialoGPT Model | [
-0.03743148595094681,
-0.04819002375006676,
0.05385439470410347,
-0.02036471851170063,
0.026059817522764206,
-0.04594496265053749,
0.09149829298257828,
0.007355423178523779,
0.06366074830293655,
-0.07199779897928238,
0.01442646887153387,
-0.03653741627931595,
-0.05732326954603195,
0.025665... |
Sin/DialoGPT-small-zai | 18d31352c1ec83c5c09ad1231edc97acc704c946 | 2021-10-21T23:21:07.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Sin | null | Sin/DialoGPT-small-zai | 318 | null | transformers | conver = pipeline("conversational")
---
tags:
- conversational
---
# Harry potter DialoGPT model | [
-0.020046263933181763,
-0.04588567465543747,
0.027776218950748444,
-0.03159087523818016,
-0.010610268451273441,
-0.11752843111753464,
0.044138260185718536,
0.024290530011057854,
0.049078382551670074,
-0.08862455189228058,
-0.05705055966973305,
-0.05370878055691719,
-0.055361706763505936,
0... |
cross-encoder/nli-deberta-v3-large | 52fab31a566138fbd1f6833a4efc1199f875f05e | 2021-12-28T19:10:37.000Z | [
"pytorch",
"deberta-v2",
"text-classification",
"en",
"dataset:multi_nli",
"dataset:snli",
"transformers",
"microsoft/deberta-v3-large",
"license:apache-2.0",
"zero-shot-classification"
] | zero-shot-classification | false | cross-encoder | null | cross-encoder/nli-deberta-v3-large | 318 | 3 | transformers | ---
language: en
pipeline_tag: zero-shot-classification
tags:
- microsoft/deberta-v3-large
datasets:
- multi_nli
- snli
metrics:
- accuracy
license: apache-2.0
---
# Cross-Encoder for Natural Language Inference
This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.net... | [
-0.05060897395014763,
-0.11446765065193176,
-0.03520458936691284,
-0.04358131065964699,
0.06282977759838104,
0.06286565214395523,
-0.05260131135582924,
-0.007175177335739136,
-0.007855026051402092,
-0.04307278245687485,
0.040740568190813065,
-0.09894443303346634,
-0.008936296217143536,
-0.... |
rrtong/DialoGPT-medium-shang-chi | 6372e6c436939d3830a01dc2ca2c5a11e12b3549 | 2021-11-14T23:21:52.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | rrtong | null | rrtong/DialoGPT-medium-shang-chi | 318 | null | transformers | ---
tags:
- conversational
---
# Shang-Chi DialoGPT Model | [
-0.04135497659444809,
-0.07513608038425446,
0.05548322573304176,
-0.0169571191072464,
0.01881326176226139,
-0.025614244863390923,
0.12084698677062988,
-0.0392635278403759,
0.0897132083773613,
0.01507908757776022,
0.054234717041254044,
-0.05919332802295685,
0.016619611531496048,
-0.00301974... |
textattack/distilbert-base-cased-MRPC | 1dc1638baffb2f564b6b196e5da1d9c348d80e2a | 2020-06-09T16:46:01.000Z | [
"pytorch",
"distilbert",
"text-classification",
"transformers"
] | text-classification | false | textattack | null | textattack/distilbert-base-cased-MRPC | 318 | null | transformers | Entry not found | [
0.0461147278547287,
-0.038838207721710205,
-0.01049656979739666,
-0.03682169318199158,
0.011261860840022564,
0.013094935566186905,
0.0019101888174191117,
-0.013979103416204453,
0.027092741802334785,
-0.015212527476251125,
0.017284274101257324,
-0.08189476281404495,
0.03817418962717056,
-0.... |
keans/DialoGPT-small-highjacker | 2f4ea7eb57f4692d8c8af42ee300b964fa34cc88 | 2022-05-29T15:59:01.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | keans | null | keans/DialoGPT-small-highjacker | 318 | null | transformers | ---
tags:
- conversational
---
#HighJacker DialoGPT Model | [
-0.056151848286390305,
-0.05561213567852974,
0.022325117141008377,
-0.039778031408786774,
0.002075594151392579,
-0.029098473489284515,
0.12001895159482956,
0.015804117545485497,
0.07748743891716003,
-0.011620370671153069,
-0.012760639190673828,
0.040189098566770554,
0.010025831870734692,
0... |
nickmuchi/yolos-small-finetuned-masks | e49a5f1375e8f5d49078d4e8e265930e961b3942 | 2022-06-18T12:54:06.000Z | [
"pytorch",
"yolos",
"object-detection",
"dataset:coco",
"dataset:face-mask-detection",
"arxiv:2106.00666",
"transformers",
"face-mask-detection",
"license:apache-2.0",
"model-index"
] | object-detection | false | nickmuchi | null | nickmuchi/yolos-small-finetuned-masks | 318 | null | transformers | ---
license: apache-2.0
tags:
- object-detection
- face-mask-detection
datasets:
- coco
- face-mask-detection
widget:
- src: https://drive.google.com/uc?id=1VwYLbGak5c-2P5qdvfWVOeg7DTDYPbro
example_title: "City Folk"
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/football-match.jpg
example... | [
-0.02464555948972702,
0.024873077869415283,
0.04127964749932289,
-0.02390279434621334,
0.12004322558641434,
-0.031000839546322823,
-0.01569385826587677,
0.004089112859219313,
0.008404155261814594,
-0.06372561305761337,
0.049004897475242615,
-0.10256431251764297,
-0.027137309312820435,
0.06... |
2early4coffee/DialoGPT-medium-deadpool | 5051f8da40e7f85fe09a591c233deaf913f1c8e3 | 2021-10-30T20:46:16.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | 2early4coffee | null | 2early4coffee/DialoGPT-medium-deadpool | 317 | null | transformers | ---
tags:
- conversational
---
# Deadpool DialoGPT Model | [
-0.02435119077563286,
-0.05761361122131348,
-0.004529193043708801,
-0.041541676968336105,
0.06891662627458572,
-0.024736011400818825,
0.12091463804244995,
-0.006979760248214006,
0.06795437633991241,
-0.04464419558644295,
0.021795446053147316,
-0.04772337153553963,
0.0036511365324258804,
0.... |
IlyaGusev/rut5_base_headline_gen_telegram | 7ee21f469a71b19a107eef60766bba8ad29bdbb7 | 2021-12-18T19:27:52.000Z | [
"pytorch",
"t5",
"text2text-generation",
"ru",
"transformers",
"summarization",
"license:apache-2.0",
"autotrain_compatible"
] | summarization | false | IlyaGusev | null | IlyaGusev/rut5_base_headline_gen_telegram | 317 | 1 | transformers | ---
language:
- ru
tags:
- summarization
license: apache-2.0
widget:
- text: "Комиссия Совета Федерации по информационной политике и взаимодействию со СМИ совместно с заинтересованными ведомствами думает над разработкой национального законодательства в области налогообложения глобальных интернет-компаний, таких как Go... | [
-0.034588199108839035,
-0.02936292067170143,
-0.06190372258424759,
-0.057628270238637924,
-0.011540533043444157,
0.014525124803185463,
0.015402819029986858,
0.06180661544203758,
0.04013361781835556,
-0.017058074474334717,
0.002413882175460458,
0.05521194264292717,
0.07292111217975616,
0.04... |
Royce23/DialoGPT-small-almas | a326ba36df63aba525834eda4d2c089daf426884 | 2021-08-16T05:21:29.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Royce23 | null | Royce23/DialoGPT-small-almas | 317 | null | transformers | ---
tags:
- conversational
---
# Almas DialoGPT Model | [
-0.02851116843521595,
-0.044789474457502365,
0.03757767379283905,
0.011264219880104065,
0.011544493958353996,
-0.029577404260635376,
0.07016583532094955,
-0.009429655969142914,
0.08725280314683914,
-0.05365689843893051,
-0.047744929790496826,
-0.0033229701220989227,
-0.018154501914978027,
... |
cointegrated/rut5-small | 891938b86cc5cfe1862c15241962e2adea86f0c1 | 2021-06-23T15:06:46.000Z | [
"pytorch",
"jax",
"mt5",
"text2text-generation",
"ru",
"transformers",
"paraphrasing",
"russian",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | cointegrated | null | cointegrated/rut5-small | 317 | 1 | transformers | ---
language: "ru"
tags:
- paraphrasing
- russian
license: mit
---
This is a small Russian paraphraser based on the [google/mt5-small](https://huggingface.co/google/mt5-small) model.
It has rather poor paraphrasing performance, but can be fine tuned for this or other tasks.
This model was created by taking the [alen... | [
-0.029500778764486313,
-0.10006106644868851,
-0.01401165034621954,
0.0563468411564827,
0.010159631259739399,
0.016122911125421524,
0.02243414893746376,
0.06622327864170074,
0.04761035367846489,
-0.03164621815085411,
-0.011934170499444008,
0.01204491127282381,
0.04771312326192856,
0.0815774... |
facebook/data2vec-audio-base | 1f5a6404ec3d696d09d505c66b828124b70d50c8 | 2022-04-19T17:24:37.000Z | [
"pytorch",
"data2vec-audio",
"feature-extraction",
"en",
"dataset:librispeech_asr",
"arxiv:2202.03555",
"transformers",
"speech",
"license:apache-2.0"
] | feature-extraction | false | facebook | null | facebook/data2vec-audio-base | 317 | 2 | transformers | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
license: apache-2.0
---
# Data2Vec-Audio-Base
[Facebook's Data2Vec](https://ai.facebook.com/research/data2vec-a-general-framework-for-self-supervised-learning-in-speech-vision-and-language/)
The base model pretrained on 16kHz sampled speech audio. When usi... | [
-0.03376863896846771,
-0.16895422339439392,
-0.012381402775645256,
-0.04108729958534241,
-0.031124060973525047,
0.023457331582903862,
-0.01447566132992506,
-0.052889302372932434,
-0.061697911471128464,
-0.08478230983018875,
-0.007706278469413519,
-0.07654585689306259,
-0.02382364496588707,
... |
ydshieh/vit-gpt2-coco-en-ckpts | 70c64cdd3d4004b5f2d6faa9268aaf87726240d2 | 2021-10-24T12:01:42.000Z | [
"pytorch",
"jax",
"tensorboard",
"vision-encoder-decoder",
"generic",
"image-classification"
] | image-classification | false | ydshieh | null | ydshieh/vit-gpt2-coco-en-ckpts | 317 | 3 | generic | ---
tags:
- image-classification
library_name: generic
---
## Example
The model is by no means a state-of-the-art model, but nevertheless
produces reasonable image captioning results. It was mainly fine-tuned
as a proof-of-concept for the 🤗 FlaxVisionEncoderDecoder Framework.
The model can be used as follows:
```... | [
-0.06489493697881699,
-0.04418642446398735,
0.004613731987774372,
0.030831709504127502,
0.13186399638652802,
0.0029895822517573833,
-0.03961591050028801,
0.050954971462488174,
-0.002767333295196295,
-0.08161073923110962,
-0.009855537675321102,
-0.1149776503443718,
0.02885621227324009,
0.10... |
Doquey/DialoGPT-small-Michaelbot | 0dd4c42749efd3cd8f3a966715e3272f38ff03ce | 2021-09-02T22:44:27.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Doquey | null | Doquey/DialoGPT-small-Michaelbot | 316 | null | transformers | ---
tags: conversational
---
#Michael | [
-0.0327671580016613,
0.03238823264837265,
0.05675148218870163,
0.006758725270628929,
0.03977154195308685,
-0.017901461571455002,
0.12176430225372314,
0.05137837678194046,
0.033129043877124786,
-0.054491035640239716,
-0.03391190245747566,
-0.014764496125280857,
-0.06497333943843842,
0.02420... |
Piumi/DialogGPT-small-harrypotter | 4f2fb6a2e4ca698266b4a98b3e11b1bb1661dc53 | 2021-09-05T08:59:33.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Piumi | null | Piumi/DialogGPT-small-harrypotter | 316 | null | transformers | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model | [
-0.03526659682393074,
-0.043647922575473785,
0.02561582624912262,
-0.01271432638168335,
-0.024334687739610672,
-0.051640309393405914,
0.09429078549146652,
0.013667597435414791,
0.0838136151432991,
-0.060401834547519684,
-0.03271295130252838,
-0.020279526710510254,
-0.03211981803178787,
0.0... |
banden/DialoGPT-small-LokiBot | bf5619e24ca2ed9c04fbfcae1483beed9131655a | 2021-09-23T13:33:36.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | banden | null | banden/DialoGPT-small-LokiBot | 316 | null | transformers | ---
tags:
- conversational
---
# Loki DialoGPT Model | [
-0.052489813417196274,
-0.07167647778987885,
0.021878309547901154,
-0.005808766931295395,
0.038353461772203445,
-0.06251689046621323,
0.08734285086393356,
0.03908175975084305,
0.08888798952102661,
-0.015205985866487026,
-0.01517742220312357,
-0.05670679733157158,
-0.0259286817163229,
0.052... |
microsoft/unispeech-sat-large | dde3cc42bd59e14fde1461a460da59d885aec651 | 2021-12-14T19:17:12.000Z | [
"pytorch",
"unispeech-sat",
"pretraining",
"en",
"arxiv:1912.07875",
"arxiv:2106.06909",
"arxiv:2101.00390",
"arxiv:2110.05752",
"transformers",
"speech"
] | null | false | microsoft | null | microsoft/unispeech-sat-large | 316 | null | transformers | ---
language:
- en
datasets:
tags:
- speech
---
# UniSpeech-SAT-Large
[Microsoft's UniSpeech](https://www.microsoft.com/en-us/research/publication/unispeech-unified-speech-representation-learning-with-labeled-and-unlabeled-data/)
The large model pretrained on 16kHz sampled speech audio with utterance and speaker con... | [
-0.04332830756902695,
-0.10197175294160843,
-0.016607683151960373,
0.0005583888851106167,
-0.02597236819565296,
0.01946951448917389,
-0.00886706355959177,
-0.0550062358379364,
-0.09318812191486359,
-0.07233674079179764,
-0.019450463354587555,
-0.038027819246053696,
-0.01330311968922615,
-0... |
Lizardon/Peterbot | 41e3dc6587a102b3268be16134bd464f1276d468 | 2022-03-02T04:56:10.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Lizardon | null | Lizardon/Peterbot | 316 | null | transformers | ---
tags:
- conversational
---
# Peter from Your Boyfriend Game.
| [
-0.005908744875341654,
0.004411154892295599,
0.015061293728649616,
-0.12064502388238907,
0.014756174758076668,
-0.024026261642575264,
0.11750373244285583,
0.041429303586483,
-0.004072009585797787,
-0.039284005761146545,
-0.05617988482117653,
-0.02426338940858841,
-0.0603695809841156,
-0.02... |
Havokx/DialoGPT-small-Rick | 51796731c265f420e8cde66ac08198cb82901091 | 2021-08-31T23:00:24.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Havokx | null | Havokx/DialoGPT-small-Rick | 315 | null | transformers | ---
tags:
- conversational
---
# Rick Sanchez DialoGPT Model
| [
-0.050353676080703735,
-0.025817817077040672,
-0.0017289668321609497,
-0.017931729555130005,
0.05475907400250435,
-0.022023962810635567,
0.1252135932445526,
0.03750690445303917,
0.07339226454496384,
-0.01486539002507925,
-0.030726853758096695,
-0.04950983449816704,
0.04696755111217499,
0.0... |
aishanisingh/DiagloGPT-small-michaelscott | fee94bcfc4d50243bdfc8faed1c6f31c3ca06c0c | 2022-02-13T07:28:02.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | aishanisingh | null | aishanisingh/DiagloGPT-small-michaelscott | 315 | null | transformers | ---
tags:
- conversational
---
# Michael Scott DialoGPT Model | [
-0.04570470750331879,
-0.04765469953417778,
0.009819386526942253,
-0.012855449691414833,
0.033485766500234604,
-0.011945420876145363,
0.1325228363275528,
0.03907846659421921,
0.08624454587697983,
-0.013780896551907063,
-0.03429485112428665,
-0.005686246789991856,
-0.0007442362257279456,
0.... |
madlag/bert-base-uncased-squad1.1-block-sparse-0.20-v1 | 48c6ee3052eab2fb4c7fa7412be10e665d09be50 | 2021-05-19T22:33:15.000Z | [
"pytorch",
"tf",
"bert",
"question-answering",
"en",
"dataset:squad",
"arxiv:2005.07683",
"transformers",
"bert-base",
"license:mit",
"autotrain_compatible"
] | question-answering | false | madlag | null | madlag/bert-base-uncased-squad1.1-block-sparse-0.20-v1 | 315 | null | transformers | ---
language: en
thumbnail:
license: mit
tags:
- question-answering
- bert
- bert-base
datasets:
- squad
metrics:
- squad
widget:
- text: "Where is the Eiffel Tower located?"
context: "The Eiffel Tower is a wrought-iron lattice tower on the Champ de Mars in Paris, France. It is named after the engineer Gustave Eiffe... | [
-0.07523000985383987,
0.02742968313395977,
0.00504495482891798,
0.022022360935807228,
-0.03126697987318039,
0.04765833541750908,
-0.0438876710832119,
0.06563321501016617,
0.01943803019821644,
-0.010039287619292736,
-0.0056791286915540695,
-0.021551381796598434,
0.010965650901198387,
-0.071... |
persiannlp/mt5-base-parsinlu-sentiment-analysis | 91d1db80c78f791fa6c24a3775c3847ec7994c2c | 2021-09-23T16:20:02.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"fa",
"multilingual",
"dataset:parsinlu",
"transformers",
"sentiment",
"sentiment-analysis",
"persian",
"farsi",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible"
] | text2text-generation | false | persiannlp | null | persiannlp/mt5-base-parsinlu-sentiment-analysis | 315 | null | transformers | ---
language:
- fa
- multilingual
thumbnail: https://upload.wikimedia.org/wikipedia/commons/a/a2/Farsi.svg
tags:
- sentiment
- sentiment-analysis
- mt5
- persian
- farsi
license: cc-by-nc-sa-4.0
datasets:
- parsinlu
metrics:
- accuracy
---
# Sentiment Analysis (آنالیز احساسات)
This is a mT5 model for sentiment analys... | [
-0.11810338497161865,
-0.05385042354464531,
-0.00014732177078258246,
0.084388367831707,
0.05117568001151085,
-0.03471420332789421,
-0.06466492265462875,
-0.0035527271684259176,
0.009475162252783775,
-0.07799550890922546,
0.0066691795364022255,
-0.05299529805779457,
0.009885167703032494,
0.... |
microsoft/resnet-152 | 26958355fd2ec78b3e07b7094b8778c242907844 | 2022-07-01T17:33:09.000Z | [
"pytorch",
"tf",
"resnet",
"image-classification",
"dataset:imagenet-1k",
"arxiv:1512.03385",
"transformers",
"vision",
"license:apache-2.0"
] | image-classification | false | microsoft | null | microsoft/resnet-152 | 315 | null | transformers | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
---
# ResNet-152 v1.5
ResNet model pre-trained on ImageNet-1k at resolution 224x224. It was introduced in the paper [Deep Residual Learning for Image Recognition](https://arxiv.org/abs/1512.03385) by He et al.
Disclaimer: The team... | [
-0.08289981633424759,
-0.06556921452283859,
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0.10690683871507645,
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-0.030914723873138428,
0.020728683099150658,
-0.045919112861156464,
-0.04460250586271286,
-0.013366767205297947,
0.05041348934173584,
-0.008601516485214233,
0.00... |
akshatpandeyme/DialoGPT-small-manpreet | c230949a55a5060e1e1578a2f5e58c6bd3713a1f | 2022-07-26T11:03:03.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | akshatpandeyme | null | akshatpandeyme/DialoGPT-small-manpreet | 315 | null | transformers | ---
tags:
- conversational
---
# manpreet DialoGPT Model | [
-0.03152986243367195,
-0.018577130511403084,
0.01235996000468731,
-0.01839352585375309,
-0.019766703248023987,
-0.050303857773542404,
0.11486302316188812,
-0.016938328742980957,
0.04552334174513817,
-0.02182633802294731,
-0.016085315495729446,
-0.028619514778256416,
-0.010850193910300732,
... |
AIDA-UPM/mstsb-paraphrase-multilingual-mpnet-base-v2 | 7c1614a46aa544de7d3bfecf05de0734cc72d0ed | 2021-07-13T14:12:45.000Z | [
"pytorch",
"xlm-roberta",
"feature-extraction",
"multilingual",
"transformers",
"sentence-similarity"
] | sentence-similarity | false | AIDA-UPM | null | AIDA-UPM/mstsb-paraphrase-multilingual-mpnet-base-v2 | 314 | 2 | transformers | ---
pipeline_tag: sentence-similarity
language: "multilingual"
tags:
- feature-extraction
- sentence-similarity
- transformers
- multilingual
---
# mstsb-paraphrase-multilingual-mpnet-base-v2
This is a fine-tuned version of `paraphrase-multilingual-mpnet-base-v2` from [sentence-transformers](https://www.SBERT.net) mo... | [
-0.041044190526008606,
-0.09178926050662994,
-0.04150952398777008,
-0.0020381577778607607,
0.007621981203556061,
0.031451594084501266,
0.044192712754011154,
0.04973604530096054,
-0.036399323493242264,
-0.08544033765792847,
0.04171672835946083,
-0.02385401353240013,
0.038018591701984406,
0.... |
Helsinki-NLP/opus-mt-it-es | 04994afcc6625a8c0e4b7867266edeee466fab01 | 2021-09-10T13:52:56.000Z | [
"pytorch",
"marian",
"text2text-generation",
"it",
"es",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-it-es | 314 | null | transformers | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-it-es
* source languages: it
* target languages: es
* OPUS readme: [it-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/it-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... | [
-0.0630721002817154,
-0.020580142736434937,
0.027700742706656456,
-0.011552580632269382,
0.008232150226831436,
0.09177839010953903,
-0.054943062365055084,
0.029032018035650253,
0.02281980775296688,
-0.009516064077615738,
0.000940372992772609,
-0.04194679111242294,
-0.07879277318716049,
-0.... |
huggingtweets/aimbotaimy-ladydarknest | b02fe5af0bad7a04b55646e7316fa43f10030664 | 2021-07-25T20:33:04.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/aimbotaimy-ladydarknest | 314 | null | transformers | ---
language: en
thumbnail: https://www.huggingtweets.com/aimbotaimy-ladydarknest/1627245180529/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-ri... | [
-0.023608893156051636,
0.11563793569803238,
0.00422937935218215,
0.047398027032613754,
0.16273599863052368,
-0.008189166896045208,
-0.042159855365753174,
0.04701193422079086,
0.07282760739326477,
-0.04829230159521103,
0.00269948854111135,
0.075755774974823,
0.021691670641303062,
-0.0347613... |
shelb-doc/DialoGPT-medium-ash | 85ee677ed6f2b1039dd374a42cc0e86704886ee6 | 2021-09-13T17:50:45.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | shelb-doc | null | shelb-doc/DialoGPT-medium-ash | 314 | null | transformers | ---
tags:
- conversational
---
# Ash DialoGPT Model | [
-0.018925238400697708,
-0.009380453266203403,
0.06221455708146095,
-0.004806542303413153,
0.029345707967877388,
-0.05242721363902092,
0.11488915979862213,
-0.014972934499382973,
0.06857168674468994,
-0.0036626742221415043,
-0.02228083275258541,
-0.03348532319068909,
-0.012898672372102737,
... |
textattack/albert-base-v2-QQP | 8f4e2471d0571cc832713021ca531c052dadeba0 | 2020-07-06T16:30:55.000Z | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | false | textattack | null | textattack/albert-base-v2-QQP | 314 | null | transformers | ## TextAttack Model Card
This `albert-base-v2` model was fine-tuned for sequence classification using TextAttack
and the glue dataset loaded using the `nlp` library. The model was fine-tuned
for 5 epochs with a batch size of 32, a learning
rate of 5e-05, and a maximum sequence length of 128.
Since this was a classi... | [
-0.038936834782361984,
-0.020266082137823105,
-0.006749661173671484,
0.005675624590367079,
-0.022411851212382317,
0.07031717896461487,
-0.08303181827068329,
0.05368000268936157,
0.019605854526162148,
-0.09245528280735016,
-0.0060917967930436134,
0.0009100157767534256,
-0.029801705852150917,
... |
MayankGupta/DialoGPT-small-harrypotter | 1bbbdf232b766be07985bad8a2b3421c9f8bd9e2 | 2021-08-29T13:14:51.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | MayankGupta | null | MayankGupta/DialoGPT-small-harrypotter | 313 | null | transformers | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model | [
-0.03526659682393074,
-0.043647922575473785,
0.02561582624912262,
-0.01271432638168335,
-0.024334687739610672,
-0.051640309393405914,
0.09429078549146652,
0.013667597435414791,
0.0838136151432991,
-0.060401834547519684,
-0.03271295130252838,
-0.020279526710510254,
-0.03211981803178787,
0.0... |
arifbhrn/DialogGPT-small-Rickk | 112e62cea0c31ae948b5477cbacab16dc2a23585 | 2021-08-29T15:08:58.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | arifbhrn | null | arifbhrn/DialogGPT-small-Rickk | 313 | null | transformers | ---
tags:
- conversational
---
# Rick DialoGPT Model | [
-0.08277027308940887,
-0.04944984242320061,
0.016703186556696892,
-0.03937309607863426,
0.030891917645931244,
-0.017226438969373703,
0.10728096961975098,
0.01489106472581625,
0.06638110429048538,
-0.023367024958133698,
-0.015873640775680542,
-0.02401949279010296,
0.04144495353102684,
0.011... |
huggingtweets/dealingporn | 274dd5f6ec23836d3eca405daa3c4cc22e47a2e2 | 2021-05-22T01:00:24.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/dealingporn | 313 | null | transformers | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<link rel="stylesheet" href="https://unpkg.com/@tailwindcss/typography@0.2.x/dist/typography.min.css">
<style>
@media (prefers-color-scheme: dark) {
.pros... | [
-0.015452129766345024,
0.13429518043994904,
0.027116207405924797,
-0.010422786697745323,
0.16475731134414673,
0.019145570695400238,
0.03728211671113968,
-0.012933195568621159,
0.1056743860244751,
-0.032343216240406036,
-0.03879242762923241,
0.06390231102705002,
0.01752965711057186,
-0.0358... |
tli8hf/unqover-roberta-large-squad | 179dcdc07eb92bac816fd430170aa64cb64231de | 2021-05-20T22:39:19.000Z | [
"pytorch",
"jax",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | tli8hf | null | tli8hf/unqover-roberta-large-squad | 313 | null | transformers | Entry not found | [
0.0461147278547287,
-0.038838207721710205,
-0.01049656979739666,
-0.03682169318199158,
0.011261860840022564,
0.013094935566186905,
0.0019101888174191117,
-0.013979103416204453,
0.027092741802334785,
-0.015212527476251125,
0.017284274101257324,
-0.08189476281404495,
0.03817418962717056,
-0.... |
IDEA-CCNL/Erlangshen-Roberta-330M-Sentiment | 6954910fb6c3b2f0105ced733bdcb386562a3a9b | 2022-05-12T09:51:51.000Z | [
"pytorch",
"bert",
"text-classification",
"zh",
"transformers",
"NLU",
"Sentiment",
"license:apache-2.0"
] | text-classification | false | IDEA-CCNL | null | IDEA-CCNL/Erlangshen-Roberta-330M-Sentiment | 313 | null | transformers | ---
language:
- zh
license: apache-2.0
tags:
- bert
- NLU
- Sentiment
inference: true
widget:
- text: "今天心情不好"
---
# Erlangshen-Roberta-330M-Semtiment, model (Chinese)，one model of [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM).
We collect 8 sentiment datasets in the Chinese domain for finetune... | [
-0.09495558589696884,
-0.07510176301002502,
0.07024070620536804,
0.04631258547306061,
0.021931171417236328,
0.02724301628768444,
0.030658848583698273,
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-0.024895571172237396,
0.03373827412724495,
-0.08885513991117477,
0.01688990369439125,
-0.00774... |
yihsuan/mt5_chinese_small | 338c78a9a4e6ff81d4e613a7b742a99b864b8f28 | 2022-04-26T06:36:56.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"zh",
"transformers",
"summarization",
"mT5",
"autotrain_compatible"
] | summarization | false | yihsuan | null | yihsuan/mt5_chinese_small | 313 | null | transformers | ---
tags:
- summarization
- mT5
language:
- zh
widget:
- text: "專家稱維康桑格研究所(Wellcome Sanger Institute)的上述研究發現「令人震驚」而且「發人深省」。基因變異指關於我們身體成長和管理的相關指令，也就是DNA當中發生的變化。長期以來，變異一直被當作癌症的根源，但是數十年來關於變異是否對衰老有重要影響一直存在爭論。桑格研究所的研究人員說他們得到了「第一個試驗性證據」，證明了兩者的關係。他們分析了預期壽命各異的物種基因變異的不同速度。研究人員分析了貓、黑白疣猴、狗、雪貂、長頸鹿、馬、人、獅子、裸鼴鼠、兔子、老鼠、環尾狐猴和老虎等十幾種動物的DN... | [
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0.010696780867874622,
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0.020994313061237335,
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0.0015912066446617246,
0.13578709959983826,
-0.06432279944419861,
0.08808707445859909,
0.02... |
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