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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Daivakai/DialoGPT-small-saitama | 6d462fb980c369c42910e4ad704c8b67306eb4e9 | 2021-11-13T19:17:48.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Daivakai | null | Daivakai/DialoGPT-small-saitama | 299 | null | transformers | 3,000 | ---
tags:
- conversational
---
#Saitama DialoGPT model |
MadhanKumar/HarryPotter-Bot | 5444e3bfd1b793083b689acdb05a3214a750af8d | 2021-08-29T14:41:37.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | MadhanKumar | null | MadhanKumar/HarryPotter-Bot | 299 | null | transformers | 3,001 | ---
tags:
- conversational
---
#Harry Potter Bot Model |
cahya/roberta-base-indonesian-522M | 88447f4cf0e27ca82cb25b7d841f9add236b08f3 | 2021-05-20T14:41:00.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"fill-mask",
"id",
"dataset:Indonesian Wikipedia",
"transformers",
"license:mit",
"autotrain_compatible"
] | fill-mask | false | cahya | null | cahya/roberta-base-indonesian-522M | 299 | 2 | transformers | 3,002 | ---
language: "id"
license: "mit"
datasets:
- Indonesian Wikipedia
widget:
- text: "Ibu ku sedang bekerja <mask> supermarket."
---
# Indonesian RoBERTa base model (uncased)
## Model description
It is RoBERTa-base model pre-trained with indonesian Wikipedia using a masked language modeling (MLM) objective. This
mode... |
chan030609/DialoGPT-medium-JAB | 92527cd82932ffa1f677f0b25da8f46533e39441 | 2022-02-11T20:14:29.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | chan030609 | null | chan030609/DialoGPT-medium-JAB | 299 | null | transformers | 3,003 | ---
tags:
- conversational
---
# DialoGPT Medium JAB
|
flax-sentence-embeddings/all_datasets_v3_roberta-large | 8046a280a8edaf23f09931ae54b2b1ca1d35bc33 | 2021-07-23T15:45:17.000Z | [
"pytorch",
"roberta",
"fill-mask",
"en",
"arxiv:2104.08727",
"arxiv:1810.09305",
"arxiv:2102.07033",
"arxiv:1904.06472",
"sentence-transformers",
"feature-extraction",
"sentence-similarity"
] | sentence-similarity | false | flax-sentence-embeddings | null | flax-sentence-embeddings/all_datasets_v3_roberta-large | 299 | 8 | sentence-transformers | 3,004 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
language: en
---
# Model description
The project aims to train sentence embedding models on very large sentence level datasets using a self-supervised
contrastive learning objective. We used the pretrained... |
flax-sentence-embeddings/stackoverflow_mpnet-base | 50529c31da1e14dc9f311ff898cc9c35abe58513 | 2021-07-26T01:36:33.000Z | [
"pytorch",
"mpnet",
"fill-mask",
"sentence-transformers",
"feature-extraction",
"sentence-similarity"
] | sentence-similarity | false | flax-sentence-embeddings | null | flax-sentence-embeddings/stackoverflow_mpnet-base | 299 | null | sentence-transformers | 3,005 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
---
# stackoverflow_mpnet-base
This is a microsoft/mpnet-base model trained on 18,562,443 (title, body) pairs from StackOverflow.
SentenceTransformers is a set of models and frameworks that enable training... |
hfl/chinese-legal-electra-small-generator | daafca6671dc00a23a4647a86b483f8e98c4ec49 | 2021-10-30T23:49:00.000Z | [
"pytorch",
"tf",
"electra",
"pretraining",
"zh",
"arxiv:2004.13922",
"transformers",
"license:apache-2.0"
] | null | false | hfl | null | hfl/chinese-legal-electra-small-generator | 298 | 3 | transformers | 3,006 | ---
language:
- zh
license: "apache-2.0"
---
# This model is specifically designed for legal domain.
## Chinese ELECTRA
Google and Stanford University released a new pre-trained model called ELECTRA, which has a much compact model size and relatively competitive performance compared to BERT and its variants.
For fur... |
peamjo/DialoGPT-small-morty | f4a0569e0e62895cf58a35ffae5d95aafab59381 | 2021-09-05T17:45:09.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | peamjo | null | peamjo/DialoGPT-small-morty | 298 | null | transformers | 3,007 | ---
tags:
- conversational
---
# Morty DialoGPT Model |
sonoisa/clip-vit-b-32-japanese-v1 | 3a955d5fef102d4fd8e317df0c003f2a3c083514 | 2022-04-19T14:18:58.000Z | [
"pytorch",
"bert",
"feature-extraction",
"ja",
"transformers",
"clip",
"sentence-similarity",
"license:cc-by-sa-4.0"
] | feature-extraction | false | sonoisa | null | sonoisa/clip-vit-b-32-japanese-v1 | 298 | 5 | transformers | 3,008 | ---
language: ja
license: cc-by-sa-4.0
tags:
- clip
- feature-extraction
- sentence-similarity
---
# 日本語版[CLIP](https://github.com/openai/CLIP)モデル
This is a [CLIP](https://github.com/openai/CLIP) text/image encoder model for Japanese.
英語版CLIPモデルのテキストエンコーダーを一種の蒸留を用いて日本語化したモデルです。
作り方や精度、使い方、サンプルコードは下記の解説記事をご参照ください。
-... |
BotterHax/DialoGPT-small-harrypotter | da1e538a11f1d1845155f645e90ea7917865a431 | 2022-02-19T18:23:15.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | BotterHax | null | BotterHax/DialoGPT-small-harrypotter | 297 | null | transformers | 3,009 | ---
tags:
- conversational
---
# DialoGPT Model for Penny |
Paradocx/Dialogpt-mid-hpai | 0276836bb89ca6de39fa263290ba20b089badfe6 | 2021-09-11T03:23:11.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Paradocx | null | Paradocx/Dialogpt-mid-hpai | 297 | null | transformers | 3,010 | ---
tags:
- conversational
---
#Harry Potter AI bot |
ZAFuzzy/DialoGPT-medium-Fatty | 4d1f03b270c34a13cf56ac63a44011c7f340656c | 2021-09-24T08:20:59.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ZAFuzzy | null | ZAFuzzy/DialoGPT-medium-Fatty | 297 | null | transformers | 3,011 | ---
tags:
- conversational
---
#Fatty DialoGPT Model |
allenai/tailor | 2d8a2501356b23e13731b4bcb16d8d82216e0a00 | 2021-07-16T17:43:52.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"arxiv:2107.07150",
"transformers",
"controlled generation",
"perturbation",
"autotrain_compatible"
] | text2text-generation | false | allenai | null | allenai/tailor | 297 | 1 | transformers | 3,012 | ---
language: "en"
tags:
- controlled generation
- perturbation
widget:
- text: "[VERB+passive+past: break | PATIENT+partial: cup] <extra_id_0> <extra_id_1> <extra_id_2> ."
- max_length:
---
# Tailor
## Model description
This is a ported version of [Tailor](https://homes.cs.washington.edu/~wtshuang/static/papers/2... |
nvidia/mit-b4 | c6b324bf64d4f93b872c365f13df9c54761edb16 | 2022-07-29T13:15:54.000Z | [
"pytorch",
"tf",
"segformer",
"image-classification",
"dataset:imagenet_1k",
"arxiv:2105.15203",
"transformers",
"vision",
"license:apache-2.0"
] | image-classification | false | nvidia | null | nvidia/mit-b4 | 297 | null | transformers | 3,013 | ---
license: apache-2.0
tags:
- vision
datasets:
- imagenet_1k
widget:
- src: https://huggingface.co/datasets/hf-internal-testing/fixtures_ade20k/resolve/main/ADE_val_00000001.jpg
example_title: House
- src: https://huggingface.co/datasets/hf-internal-testing/fixtures_ade20k/resolve/main/ADE_val_00000002.jpg
exampl... |
laxya007/gpt2_bd2 | 92cf1b3a812d597077a02d3b734294bff30d0840 | 2022-03-19T13:11:52.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | laxya007 | null | laxya007/gpt2_bd2 | 297 | null | transformers | 3,014 | Entry not found |
captainswiftfox/rickandmorty | c201ead94df184617858b191b8b8147e5791ed75 | 2022-05-09T14:35:18.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | captainswiftfox | null | captainswiftfox/rickandmorty | 297 | null | transformers | 3,015 | ---
tags:
- conversational
---
# RickS AI bot |
pablocosta/bert-tweet-br-base | fe3f758c6875d74f9887ba207d43331084d3d8f0 | 2022-07-25T16:10:28.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | pablocosta | null | pablocosta/bert-tweet-br-base | 297 | 1 | transformers | 3,016 | We are still testing this model. The risks are all yours. |
TofuBoy/DialoGPT-medium-Yubin2 | 8af6356cc374c90a2b38059c4386730b9d632c20 | 2022-01-21T10:11:18.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | TofuBoy | null | TofuBoy/DialoGPT-medium-Yubin2 | 296 | null | transformers | 3,017 | ---
tags:
- conversational
---
# DialoGPT Model |
addy88/t5-qa-genrate-explain-context | bd2d8a462e739fe41e6a1e152b9ea75787859713 | 2022-01-02T06:31:18.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | addy88 | null | addy88/t5-qa-genrate-explain-context | 296 | null | transformers | 3,018 | Entry not found |
sberbank-ai/rugpt2large | 4a0e15e7fcfb00082ba7db6e582a407499d9674a | 2021-09-21T19:34:11.000Z | [
"pytorch",
"ru",
"transformers",
"PyTorch",
"Transformers"
] | null | false | sberbank-ai | null | sberbank-ai/rugpt2large | 296 | 1 | transformers | 3,019 | ---
language:
- ru
tags:
- PyTorch
- Transformers
thumbnail: "https://github.com/sberbank-ai/ru-gpts"
---
# rugpt2large
Model was trained with sequence length 1024 using transformers by [SberDevices](https://sberdevices.ru/) team on 170Gb data on 64 GPUs 3 weeks.
|
softcatala/julibert | 7243cb6c51150409d18feda1d35cfbadb34b2bf4 | 2021-05-20T17:19:38.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"ca",
"transformers",
"autotrain_compatible"
] | fill-mask | false | softcatala | null | softcatala/julibert | 296 | 1 | transformers | 3,020 | ---
language: ca
---
## Introduction
Download the model here:
* Catalan Roberta model: [julibert-2020-11-10.zip](https://www.softcatala.org/pub/softcatala/julibert/julibert-2020-11-10.zip)
## What's this?
Source code: https://github.com/Softcatala/julibert
* Corpus: Oscar Catalan Corpus (3,8G)
* Model type: Robe... |
voidful/wav2vec2-large-xlsr-53-tw-gpt | 10a7d9ad1efc12381248db9bc0c289b741480ce3 | 2022-03-24T23:08:57.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"zh-TW",
"dataset:common_voice",
"transformers",
"audio",
"hf-asr-leaderboard",
"robust-speech-event",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | voidful | null | voidful/wav2vec2-large-xlsr-53-tw-gpt | 296 | 2 | transformers | 3,021 | ---
language: zh-TW
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
- hf-asr-leaderboard
- robust-speech-event
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Taiwanese Mandarin(zh-tw) by Voidful
results:
- task:
name: Speech Recognition
type... |
nabin19677/small-cartman | 13ed605514f19be277b31def8c06438ef2e63d61 | 2022-03-10T10:50:44.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | nabin19677 | null | nabin19677/small-cartman | 296 | null | transformers | 3,022 | ---
tags:
- conversational
---
# My Awesome Model
|
CopymySkill/DialoGPT-medium-atakan | 6ab2da60dc96c0725c0f16b22fcd9ea510caffa0 | 2021-09-23T17:21:59.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | CopymySkill | null | CopymySkill/DialoGPT-medium-atakan | 295 | null | transformers | 3,023 | ---
tags:
- conversational
---
# Atakan DialoGPT Model |
HackyHackyMan/DialoGPT-small-harrypotter | bdb8208f3f7a22daa500c059977aeb617254be33 | 2021-09-28T21:39:35.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | HackyHackyMan | null | HackyHackyMan/DialoGPT-small-harrypotter | 295 | null | transformers | 3,024 | ---
tags:
- conversational
---
#Harry Potter DialoGPT Model |
ItoYagura/DialoGPT-medium-tohru | c1d730fc47e4971e3c13c63371050d4e66d2eded | 2021-08-29T18:58:33.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ItoYagura | null | ItoYagura/DialoGPT-medium-tohru | 295 | null | transformers | 3,025 | ---
tags:
- conversational
---
# Tohru DialoGPT model |
alankar/DialoGPT-small-rick | ccf563857d8e047181507990ff1bc53445d70e06 | 2021-08-28T18:43:35.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | alankar | null | alankar/DialoGPT-small-rick | 295 | null | transformers | 3,026 | ---
tags:
- conversational
---
# Rick Sanchez DialoGPT Model |
pritamdeka/S-PubMedBert-MS-MARCO-SCIFACT | 9b60669ad88f629a850e6dbf6ff0c23d828069a2 | 2022-03-04T12:12:40.000Z | [
"pytorch",
"bert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | pritamdeka | null | pritamdeka/S-PubMedBert-MS-MARCO-SCIFACT | 295 | null | sentence-transformers | 3,027 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# S-PubMedBert-MS-MARCO-SCIFACT
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 t... |
tiennvcs/layoutlmv2-base-uncased-finetuned-docvqa | 99771655242e7adea26691ceeff2a11d06d3d087 | 2021-10-31T16:33:32.000Z | [
"pytorch",
"tensorboard",
"layoutlmv2",
"question-answering",
"transformers",
"generated_from_trainer",
"license:cc-by-sa-4.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | tiennvcs | null | tiennvcs/layoutlmv2-base-uncased-finetuned-docvqa | 295 | 2 | transformers | 3,028 | ---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
model-index:
- name: layoutlmv2-base-uncased-finetuned-docvqa
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.... |
DeepESP/gpt2-spanish-medium | 538d6f0c548b1826417b7e05a99f780c16cac155 | 2021-10-19T08:53:15.000Z | [
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"es",
"dataset:ebooks",
"transformers",
"GPT-2",
"Spanish",
"ebooks",
"nlg",
"license:mit"
] | text-generation | false | DeepESP | null | DeepESP/gpt2-spanish-medium | 294 | 3 | transformers | 3,029 | ---
language: es
tags:
- GPT-2
- Spanish
- ebooks
- nlg
datasets:
- ebooks
widget:
- text: "Quisiera saber que va a suceder"
license: mit
---
# GPT2-Spanish
GPT2-Spanish is a language generation model trained from scratch with 11.5GB of Spanish texts and with a Byte Pair Encoding (BPE) tokenizer that was trained for t... |
cardiffnlp/twitter-roberta-base-2021-124m | e80bc4e3ae8aae5255c61e1e937d3656aec73df3 | 2022-02-09T11:17:40.000Z | [
"pytorch",
"roberta",
"fill-mask",
"arxiv:2202.03829",
"transformers",
"autotrain_compatible"
] | fill-mask | false | cardiffnlp | null | cardiffnlp/twitter-roberta-base-2021-124m | 294 | 2 | transformers | 3,030 | # Twitter 2021 124M (RoBERTa-base)
This is a RoBERTa-base model trained on 123.86M tweets until the end of 2021.
More details and performance scores are available in the [TimeLMs paper](https://arxiv.org/abs/2202.03829).
Below, we provide some usage examples using the standard Transformers interface. For another inte... |
nvidia/segformer-b2-finetuned-cityscapes-1024-1024 | 2416842a88764bd96f8dc5c7dbacd79b1aca2918 | 2022-07-20T09:53:56.000Z | [
"pytorch",
"tf",
"segformer",
"dataset:cityscapes",
"arxiv:2105.15203",
"transformers",
"vision",
"image-segmentation",
"license:apache-2.0"
] | image-segmentation | false | nvidia | null | nvidia/segformer-b2-finetuned-cityscapes-1024-1024 | 294 | null | transformers | 3,031 | ---
license: apache-2.0
tags:
- vision
- image-segmentation
datasets:
- cityscapes
widget:
- src: https://www.researchgate.net/profile/Anurag-Arnab/publication/315881952/figure/fig5/AS:667673876779033@1536197265755/Sample-results-on-the-Cityscapes-dataset-The-above-images-show-how-our-method-can-handle.jpg
example_ti... |
DMetaSoul/sbert-chinese-general-v2 | 14b486c50cdb0e7cff9792488021c905abfd9a57 | 2022-04-04T07:22:23.000Z | [
"pytorch",
"bert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers",
"semantic-search",
"chinese"
] | sentence-similarity | false | DMetaSoul | null | DMetaSoul/sbert-chinese-general-v2 | 294 | null | sentence-transformers | 3,032 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
- semantic-search
- chinese
---
# DMetaSoul/sbert-chinese-general-v2
此模型基于 [bert-base-chinese](https://huggingface.co/bert-base-chinese) 版本 BERT 模型，在百万级语义相似数据集 [SimCLUE](https://github.com/CLU... |
AJ-Dude/DialoGPT-small-harrypotter | 4eeb993a4c143906c2510c93b417cd7af752095f | 2021-10-22T08:26:19.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | AJ-Dude | null | AJ-Dude/DialoGPT-small-harrypotter | 293 | null | transformers | 3,033 | ---
tags:
- conversational
---
# Harry Potter DialoGPT model |
Helsinki-NLP/opus-mt-en-hu | c07e29c91012b3fe97df3da7c56d5eb25d4be40b | 2021-09-09T21:36:04.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"hu",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-en-hu | 293 | null | transformers | 3,034 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-en-hu
* source languages: en
* target languages: hu
* OPUS readme: [en-hu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-hu/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
KringleClaus/Dialog-santa | 64c61b2b57bbe633855ef72341bc1db416286111 | 2021-10-12T20:44:52.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | KringleClaus | null | KringleClaus/Dialog-santa | 293 | null | transformers | 3,035 | ---
tags:
- conversational
---
# Santa Chatbot |
facebook/s2t-medium-mustc-multilingual-st | 5b743fb5adb8b0954c1857f343f04687b32cfe39 | 2022-02-07T14:58:32.000Z | [
"pytorch",
"tf",
"speech_to_text",
"automatic-speech-recognition",
"en",
"de",
"nl",
"es",
"fr",
"it",
"pt",
"ro",
"ru",
"dataset:mustc",
"arxiv:2010.05171",
"arxiv:1904.08779",
"transformers",
"audio",
"speech-translation",
"license:mit"
] | automatic-speech-recognition | false | facebook | null | facebook/s2t-medium-mustc-multilingual-st | 293 | 1 | transformers | 3,036 | ---
language:
- en
- de
- nl
- es
- fr
- it
- pt
- ro
- ru
datasets:
- mustc
tags:
- audio
- speech-translation
- automatic-speech-recognition
pipeline_tag: automatic-speech-recognition
license: mit
---
# S2T-MEDIUM-MUSTC-MULTILINGUAL-ST
`s2t-medium-mustc-multilingual-st` is a Speech to Text Transformer (S2T) model ... |
kripanshudixit/DialoGPT-small-phoenix | 353c39eea9703cb55e265788ffd330f0d5e75498 | 2021-08-28T15:03:56.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | kripanshudixit | null | kripanshudixit/DialoGPT-small-phoenix | 293 | null | transformers | 3,037 | ---
tags:
- conversational
---
# Phoenix DialoGPT model |
mrm8488/mobilebert-finetuned-ner | 3f9a1f308e4272219bd43e9127cb65fa5504d9ec | 2021-01-30T11:42:05.000Z | [
"pytorch",
"mobilebert",
"token-classification",
"en",
"transformers",
"ner",
"license:mit",
"autotrain_compatible"
] | token-classification | false | mrm8488 | null | mrm8488/mobilebert-finetuned-ner | 293 | null | transformers | 3,038 | ---
language: en
tags:
- mobilebert
- ner
license: mit
---
|
KoboldAI/fairseq-dense-13B-Nerys | 2dea07a2017f755e1906cf6f0bf16fd13ff3e814 | 2022-06-25T11:22:58.000Z | [
"pytorch",
"xglm",
"text-generation",
"en",
"transformers",
"license:mit"
] | text-generation | false | KoboldAI | null | KoboldAI/fairseq-dense-13B-Nerys | 293 | null | transformers | 3,039 | ---
language: en
license: mit
---
# Fairseq-dense 13B - Nerys
## Model Description
Fairseq-dense 13B-Nerys is a finetune created using Fairseq's MoE dense model.
## Training data
The training data contains around 2500 ebooks in various genres (the "Pike" dataset), a CYOA dataset called "CYS" and 50 Asian "Light Novels"... |
Wise/DialogGPT-small-JC | 276014e2984fdf687ebadabfe8ebe3e0931efd1d | 2021-09-28T00:17:36.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Wise | null | Wise/DialogGPT-small-JC | 292 | null | transformers | 3,040 | ---
tags:
- conversational
---
# JC DialogGPT Model |
huggingtweets/dansalvato | 603f18feb00fecf0c2ecdc030db4ae9b4e38a360 | 2021-05-22T00:40:26.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers",
"huggingtweets"
] | text-generation | false | huggingtweets | null | huggingtweets/dansalvato | 292 | null | transformers | 3,041 | ---
language: en
thumbnail: https://www.huggingtweets.com/dansalvato/1612858230042/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/11332180523030... |
sail/poolformer_s12 | 81dd35aba1f435d6ade0f31c0c99f02097efedf8 | 2022-04-08T07:48:14.000Z | [
"pytorch",
"poolformer",
"image-classification",
"dataset:imagenet",
"arxiv:2111.11418",
"transformers",
"vision",
"license:apache-2.0"
] | image-classification | false | sail | null | sail/poolformer_s12 | 292 | null | transformers | 3,042 | ---
license: apache-2.0
tags:
- image-classification
- vision
datasets:
- imagenet
---
# PoolFormer (S12 model)
PoolFormer model trained on ImageNet-1k (1 million images, 1,000 classes) at resolution 224x224. It was first introduced in the paper [MetaFormer is Actually What You Need for Vision](https://arxiv.org/abs/... |
sreyanghosh/DialoGPT-medium-joker | 2cf5d5968a26328a6146ec1063a4ba8886479670 | 2021-08-27T07:24:17.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | sreyanghosh | null | sreyanghosh/DialoGPT-medium-joker | 292 | null | transformers | 3,043 | ---
tags:
- conversational
---
# Joker DialoGPT Model |
michiyasunaga/LinkBERT-large | d7bc175578ab3361bd13908e01f342e2dfbdba7c | 2022-03-31T00:27:01.000Z | [
"pytorch",
"bert",
"feature-extraction",
"en",
"dataset:wikipedia",
"dataset:bookcorpus",
"arxiv:2203.15827",
"transformers",
"exbert",
"linkbert",
"fill-mask",
"question-answering",
"text-classification",
"token-classification",
"license:apache-2.0"
] | text-classification | false | michiyasunaga | null | michiyasunaga/LinkBERT-large | 292 | 4 | transformers | 3,044 | ---
license: apache-2.0
language: en
datasets:
- wikipedia
- bookcorpus
tags:
- bert
- exbert
- linkbert
- feature-extraction
- fill-mask
- question-answering
- text-classification
- token-classification
---
## LinkBERT-large
LinkBERT-large model pretrained on English Wikipedia articles along with ... |
GeniusVoice/tinybertje-msmarco-finetuned | ba38d0d46b7b28f4e10c4db85a13d92f11a794ec | 2022-06-08T21:34:50.000Z | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | false | GeniusVoice | null | GeniusVoice/tinybertje-msmarco-finetuned | 292 | null | transformers | 3,045 | Entry not found |
google/ddpm-cifar10-32 | bdd0dcf97540a6e9873cf34be64b2e7813acf67a | 2022-07-21T15:00:45.000Z | [
"diffusers",
"arxiv:2006.11239",
"pytorch",
"unconditional-image-generation",
"license:apache-2.0"
] | unconditional-image-generation | false | google | null | google/ddpm-cifar10-32 | 292 | 2 | diffusers | 3,046 | ---
license: apache-2.0
tags:
- pytorch
- diffusers
- unconditional-image-generation
---
# Denoising Diffusion Probabilistic Models (DDPM)
**Paper**: [Denoising Diffusion Probabilistic Models](https://arxiv.org/abs/2006.11239)
**Authors**: Jonathan Ho, Ajay Jain, Pieter Abbeel
**Abstract**:
*We present high qualit... |
Artem1/bert-wsd | 197a34266ba6e88e7b5e972040b5a1eecf85221f | 2022-07-12T05:11:17.000Z | [
"pytorch",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | Artem1 | null | Artem1/bert-wsd | 292 | null | transformers | 3,047 | Entry not found |
Aibox/DialoGPT-small-rick | 75340709dc60ab3a6e7bfc6ce5c82b6f783ba449 | 2021-08-31T00:01:30.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Aibox | null | Aibox/DialoGPT-small-rick | 291 | null | transformers | 3,048 | ---
tags:
- conversational
---
# Rick DialoGPT Model |
facebook/deit-base-patch16-384 | 16fc3691253b9b0dd02de0fcf6399724fa3bd720 | 2022-07-13T11:41:03.000Z | [
"pytorch",
"tf",
"vit",
"image-classification",
"dataset:imagenet-1k",
"arxiv:2012.12877",
"arxiv:2006.03677",
"transformers",
"license:apache-2.0"
] | image-classification | false | facebook | null | facebook/deit-base-patch16-384 | 291 | null | transformers | 3,049 | ---
license: apache-2.0
tags:
- image-classification
datasets:
- imagenet-1k
---
# Data-efficient Image Transformer (base-sized model)
Data-efficient Image Transformer (DeiT) model pre-trained and fine-tuned on ImageNet-1k (1 million images, 1,000 classes) at resolution 384x384. It was first introduced in the paper ... |
CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-msa | c725a2b810e2e7db4e61656fd7021b553655caf9 | 2021-10-18T09:34:42.000Z | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | CAMeL-Lab | null | CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-msa | 290 | null | transformers | 3,050 | ---
language:
- ar
license: apache-2.0
widget:
- text: 'إمارة أبوظبي هي إحدى إمارات دولة الإمارات العربية المتحدة السبع'
---
# CAMeLBERT-MSA POS-MSA Model
## Model description
**CAMeLBERT-MSA POS-MSA Model** is a Modern Standard Arabic (MSA) POS tagging model that was built by fine-tuning the [CAMeLBERT-MSA](https://... |
Kryptone/monikAI | 07a27db4047e2588fdfd9821800ac6d9568dc9c4 | 2021-09-02T00:32:13.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Kryptone | null | Kryptone/monikAI | 290 | null | transformers | 3,051 | ---
tags:
- conversational
---
# Monika Discord Chatbot |
Zuha/DialoGPT-small-gandalf | 6b898d3228cb8cd6fc546088879c1b6bdea842e8 | 2021-12-29T15:46:58.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Zuha | null | Zuha/DialoGPT-small-gandalf | 290 | null | transformers | 3,052 | ---
tags:
- conversational
---
# Gandalf DialoGPT Model |
ChukSamuels/DialoGPT-small-Dr.FauciBot | 0c0428ded1ae868eec3dff1958fe8bce91887697 | 2022-01-09T03:03:57.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ChukSamuels | null | ChukSamuels/DialoGPT-small-Dr.FauciBot | 289 | null | transformers | 3,053 | ---
tags:
- conversational
---
# Dr. Fauci DialoGPT Model |
Lovery/Aqua | 78d53e4bbe841acbc07596e864502204025a5332 | 2021-09-09T09:13:54.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Lovery | null | Lovery/Aqua | 289 | null | transformers | 3,054 | ---
tags:
- conversational
---
# Aqua |
fhamborg/roberta-targeted-sentiment-classification-newsarticles | ca1bf21b95334c70799aa0f56321565782e540e1 | 2022-01-10T16:16:01.000Z | [
"pytorch",
"roberta",
"en",
"dataset:fhamborg/news_sentiment_newsmtsc",
"transformers",
"text-classification",
"sentiment-analysis",
"sentiment-classification",
"targeted-sentiment-classification",
"target-depentent-sentiment-classification",
"license:apache-2.0"
] | text-classification | false | fhamborg | null | fhamborg/roberta-targeted-sentiment-classification-newsarticles | 289 | 1 | transformers | 3,055 | ---
language:
- en
tags:
- text-classification
- sentiment-analysis
- sentiment-classification
- targeted-sentiment-classification
- target-depentent-sentiment-classification
license: "apache-2.0"
datasets: "fhamborg/news_sentiment_newsmtsc"
---
# NewsSentiment: easy-to-use, high-quality target-dependent senti... |
knkarthick/meeting-summary-samsum | 36cdb69af2d007bc8341b138fdc13d6028777006 | 2022-07-20T08:28:58.000Z | [
"pytorch",
"bart",
"text2text-generation",
"en",
"dataset:samsum",
"transformers",
"seq2seq",
"summarization",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | knkarthick | null | knkarthick/meeting-summary-samsum | 289 | 1 | transformers | 3,056 | ---
language: en
tags:
- bart
- seq2seq
- summarization
license: apache-2.0
datasets:
- samsum
widget:
- text: |
Hannah: Hey, do you have Betty's number?
Amanda: Lemme check
Amanda: Sorry, can't find it.
Amanda: Ask Larry
Amanda: He called her last time we were at the park together
Hannah: I do... |
recobo/chemical-bert-uncased | 3dd0c575bac75dbd1185b8e71b4d5cf93520d205 | 2021-08-31T18:07:03.000Z | [
"pytorch",
"bert",
"fill-mask",
"en",
"transformers",
"chemical-domain",
"safety-datasheets",
"autotrain_compatible"
] | fill-mask | false | recobo | null | recobo/chemical-bert-uncased | 289 | 1 | transformers | 3,057 | ---
language: "en"
tags:
- chemical-domain
- safety-datasheets
widget:
- text: "The removal of mercaptans, and for drying of gases and [MASK]."
---
# BERT for Chemical Industry
A BERT-based language model further pre-trained from the checkpoint of [SciBERT](https://huggingface.co/allenai/scibert_scivocab_uncased). We u... |
uer/chinese_roberta_L-6_H-128 | fb006d847cf7e6f6e4c19d61108ab08f2bb7fe35 | 2022-07-15T08:12:55.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"zh",
"dataset:CLUECorpusSmall",
"arxiv:1909.05658",
"arxiv:1908.08962",
"transformers",
"autotrain_compatible"
] | fill-mask | false | uer | null | uer/chinese_roberta_L-6_H-128 | 289 | null | transformers | 3,058 | ---
language: zh
datasets: CLUECorpusSmall
widget:
- text: "北京是[MASK]国的首都。"
---
# Chinese RoBERTa Miniatures
## Model description
This is the set of 24 Chinese RoBERTa models pre-trained by [UER-py](https://github.com/dbiir/UER-py/), which is introduced in [this paper](https://arxiv.org/abs/1909.05658).
[Turc e... |
Starry/karenemoji | 587a841fc85049afe1276d4755343afa08ba3e4e | 2022-03-11T01:52:44.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Starry | null | Starry/karenemoji | 289 | null | transformers | 3,059 | ---
tags:
- conversational
---
# DialoGPT model |
IIC/wav2vec2-spanish-multilibrispeech | 83782f8ff5b3c7dacfd0deb7de44ff62cf406a53 | 2022-04-02T15:04:00.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"es",
"dataset:multilingual_librispeech",
"arxiv:2006.13979",
"transformers",
"audio",
"model-index"
] | automatic-speech-recognition | false | IIC | null | IIC/wav2vec2-spanish-multilibrispeech | 289 | 3 | transformers | 3,060 | ---
language:
- es
tags:
- audio # Example: audio
- automatic-speech-recognition # Example:
datasets:
- multilingual_librispeech
metrics:
- eval_wer: 0.073
model-index:
- name: wav2vec2-spanish-multilibrispeech
results:
- task:
type: automatic-speech-recognition # Required. Example: automatic-speech-re... |
freedomking/prompt-uie-base | 6026ce276a7947de93d6fe45687a47a4a65a798d | 2022-06-29T14:46:15.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | freedomking | null | freedomking/prompt-uie-base | 289 | 1 | transformers | 3,061 | ## Introduction
Universal Information Extraction
More detail:
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/model_zoo/uie |
CodeDanCode/SP-KyleBot | b82397494afe3b17b2c053b8953b7d8ee91f89c3 | 2021-10-24T22:29:48.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | CodeDanCode | null | CodeDanCode/SP-KyleBot | 288 | null | transformers | 3,062 | ---
tags:
- conversational
---
# SouthPark Kyle Bot
|
IlyaGusev/rubert_telegram_headlines | 606eae9f1f6d2eb45da5ba16675486b9b0874ca0 | 2022-07-13T15:36:18.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"ru",
"transformers",
"summarization",
"license:apache-2.0",
"autotrain_compatible"
] | summarization | false | IlyaGusev | null | IlyaGusev/rubert_telegram_headlines | 288 | null | transformers | 3,063 | ---
language:
- ru
tags:
- summarization
license: apache-2.0
inference:
parameters:
no_repeat_ngram_size: 4
---
# RuBertTelegramHeadlines
## Model description
Example model for [Headline generation competition](https://competitions.codalab.org/competitions/29905)
Based on [RuBERT](http://docs.deeppavlov... |
Naturealbe/DialoGPT-small-harrypotter | 8b960ebf04da798e17bbd0cd45063f54d9f0df77 | 2021-09-16T15:37:28.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Naturealbe | null | Naturealbe/DialoGPT-small-harrypotter | 288 | null | transformers | 3,064 | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model |
PVAbhiram2003/DialoGPT-medium-RickandMorty | 000ce8b7ebe21a7e223dfe51014eb765027d5c38 | 2022-04-06T12:42:44.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | PVAbhiram2003 | null | PVAbhiram2003/DialoGPT-medium-RickandMorty | 288 | null | transformers | 3,065 | ---
tags:
- conversational
---
#Rick and Morty DialoGPT medium model |
aggb/DialogGPT-small-AGGB-B | 544850c0c4cf56841a556be8eb5fe5b438af0120 | 2021-10-11T19:07:31.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | aggb | null | aggb/DialogGPT-small-AGGB-B | 288 | null | transformers | 3,066 | ---
tags:
- conversational
---
# aggb DialogGPT spanish model |
chellver24/DialoGPT-medium-chizuru_ichinose | 690b453b5c0521890d8b64b34e6b5444f537268b | 2021-12-13T04:43:34.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | chellver24 | null | chellver24/DialoGPT-medium-chizuru_ichinose | 288 | null | transformers | 3,067 | ---
tags:
- conversational
---
#Chizuru Ichinose~ DialoGPT Model |
imvladikon/wav2vec2-large-xlsr-53-hebrew | 27401112929adb476321f06886923e1c4545da80 | 2021-07-06T06:06:52.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"he",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | imvladikon | null | imvladikon/wav2vec2-large-xlsr-53-hebrew | 288 | 2 | transformers | 3,068 | ---
language: he
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Hebrew XLSR Wav2Vec2 Large 53
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
... |
mrm8488/chEMBL_smiles_v1 | 7496122d635633cccc623333f6dc14d47fda7bbf | 2021-05-20T18:16:53.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"en",
"transformers",
"drugs",
"chemist",
"drug design",
"autotrain_compatible"
] | fill-mask | false | mrm8488 | null | mrm8488/chEMBL_smiles_v1 | 288 | 1 | transformers | 3,069 | ---
language: en
tags:
- drugs
- chemist
- drug design
widget:
- text: "CC(C)CN(CC(OP(=O)(O)O)C(Cc1ccccc1)NC(=O)OC1CCOC1)S(=O)(=O)c1ccc(N)<mask>"
---
# *De Novo* Drug Design with MLM
## What is it?
An approximation to [Generative Recurrent Networks for De Novo Drug Design](https://onlinelibrary.wiley.com/doi/full/10... |
sismetanin/sbert-ru-sentiment-rusentiment | e2eb0a37f1a861456fb98052f9b18eb6acd94114 | 2021-05-20T06:38:36.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"ru",
"transformers",
"sentiment analysis",
"Russian"
] | text-classification | false | sismetanin | null | sismetanin/sbert-ru-sentiment-rusentiment | 288 | null | transformers | 3,070 | ---
language:
- ru
tags:
- sentiment analysis
- Russian
---
## SBERT-Large-Base-ru-sentiment-RuSentiment
SBERT-Large-ru-sentiment-RuSentiment is a [SBERT-Large](https://huggingface.co/sberbank-ai/sbert_large_nlu_ru) model fine-tuned on [RuSentiment dataset](https://github.com/text-machine-lab/rusentiment) of general... |
ancs21/xlm-roberta-large-vi-qa | 99ede8b74fc10b82365e5109a55c58ba38a31c38 | 2021-09-21T16:01:14.000Z | [
"pytorch",
"xlm-roberta",
"question-answering",
"vi",
"transformers",
"license:mit",
"autotrain_compatible"
] | question-answering | false | ancs21 | null | ancs21/xlm-roberta-large-vi-qa | 287 | 3 | transformers | 3,071 | ---
language: vi
tags:
- vi
- xlm-roberta
widget:
- text: Toà nhà nào cao nhất Việt Nam?
context: Landmark 81 là một toà nhà chọc trời trong tổ hợp dự án Vinhomes Tân Cảng,
một dự án có tổng mức đầu tư 40.000 tỷ đồng, do Công ty Cổ phần Đầu tư xây dựng
Tân Liên Phát thuộc Vingroup làm chủ đầu tư. Toà tháp cao... |
dkminer81/Tromm | 4be11050c9111c35fa86af5848f89529ec6403cb | 2021-11-10T19:53:29.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | dkminer81 | null | dkminer81/Tromm | 287 | null | transformers | 3,072 | ---
tags:
- conversational
---
# A certain person's AI |
rahul26/DialoGPT-small-rickandmorty | e78f96edca366d9e945c71eba08d3557cb8d668d | 2021-10-20T10:38:17.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | rahul26 | null | rahul26/DialoGPT-small-rickandmorty | 287 | null | transformers | 3,073 | ---
tags:
- conversational
---
# Rick and Morty DialoGPT Model |
Geotrend/bert-base-10lang-cased | ec07fc88489c579e8a48bd21f7061691379a72c6 | 2022-06-28T08:52:30.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"multilingual",
"en",
"fr",
"es",
"de",
"zh",
"ar",
"ru",
"pt",
"it",
"ur",
"dataset:wikipedia",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | false | Geotrend | null | Geotrend/bert-base-10lang-cased | 286 | null | transformers | 3,074 | ---
language:
- multilingual
- en
- fr
- es
- de
- zh
- ar
- ru
- pt
- it
- ur
datasets: wikipedia
license: apache-2.0
widget:
- text: "Google generated 46 billion [MASK] in revenue."
- text: "Paris is the capital of [MASK]."
- text: "Algiers is the largest city in [MASK]."
- text: "Paris est la [MASK] de la France.... |
Koro/DialoGPT-medium-rickandmorty | cd9badcca9854d419f7ce84d98636a125f640e34 | 2021-09-24T21:24:04.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Koro | null | Koro/DialoGPT-medium-rickandmorty | 286 | null | transformers | 3,075 | ---
tags:
- conversational
---
# Rick and Morty DialoGPT Model |
Skywhy/DialoGPT-medium-Churchyy | 4d0cddac8bb0daf0f5928437bf7d08d349e056bf | 2022-01-12T21:17:19.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Skywhy | null | Skywhy/DialoGPT-medium-Churchyy | 286 | null | transformers | 3,076 | ---
tags:
- conversational
---
# Harry Potter DialogGPT Model |
dbsamu/distilbert-base-uncased-finetuned-ner | b4c3f9ebb88697c3554177c4e5d09e8bb0f31863 | 2022-01-20T10:30:26.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"token-classification",
"dataset:wikiann",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | dbsamu | null | dbsamu/distilbert-base-uncased-finetuned-ner | 286 | null | transformers | 3,077 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wikiann
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: wikiann
type: wikiann
... |
flax-community/t5-recipe-generation | 712873640d0bdd20e90d6bb0d375de14f079c6a4 | 2021-07-26T20:19:20.000Z | [
"pytorch",
"tf",
"jax",
"tensorboard",
"t5",
"text2text-generation",
"en",
"transformers",
"seq2seq",
"text-generation",
"recipe-generation",
"autotrain_compatible"
] | text2text-generation | false | flax-community | null | flax-community/t5-recipe-generation | 286 | 6 | transformers | 3,078 | ---
language: en
tags:
- seq2seq
- t5
- text-generation
- recipe-generation
pipeline_tag: text2text-generation
widget:
- text: "provolone cheese, bacon, bread, ginger"
- text: "sugar, crunchy jif peanut butter, cornflakes"
- text: "sweet butter, confectioners sugar, flaked coconut, condensed milk, nuts, vanilla, ... |
munezah/DialoGPT-small-sherlock | 749a64370ed5c20c23bdb07a8ea69ed4683f1828 | 2021-08-28T16:59:58.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | munezah | null | munezah/DialoGPT-small-sherlock | 286 | null | transformers | 3,079 | ---
tags:
- conversational
---
# sherlock DialoGPT Model |
sudip/bot1 | a65a1f4d954416e7df4f3cc7be9f9f631c5e4db5 | 2021-09-02T15:45:43.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | sudip | null | sudip/bot1 | 286 | null | transformers | 3,080 | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model |
trueto/medbert-base-wwm-chinese | abece55f104ed428100c96f0a3ae2cb4996613bd | 2021-05-20T08:09:44.000Z | [
"pytorch",
"jax",
"bert",
"pretraining",
"transformers"
] | null | false | trueto | null | trueto/medbert-base-wwm-chinese | 286 | 1 | transformers | 3,081 | # [medbert](https://github.com/trueto/medbert)
本项目开源硕士毕业论文“BERT模型在中文临床自然语言处理中的应用探索与研究”相关模型
## 评估基准
构建了中文电子病历命名实体识别数据集（CEMRNER）、中文医学文本命名实体识别数据集（CMTNER）、
中文医学问句-问句识别数据集（CMedQQ）和中文临床文本分类数据集（CCTC）。
| **数据集** | **训练集** | **验证集** | **测试集** | **任务类型** | **语料来源** |
| ---- | ---- | ---- |---- |---- |:----:|
| CE... |
rajkumarrrk/t5-base-fine-tuned-on-cnn-dm | 4adbfb55f65d1ee515dc3b73ce1a7e6625387ef4 | 2022-07-11T11:41:58.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | rajkumarrrk | null | rajkumarrrk/t5-base-fine-tuned-on-cnn-dm | 286 | null | transformers | 3,082 | ---
license: apache-2.0
---
T5-base fine-tuned on CNN/DM Summarization dataset.
Training args:
```
{
"learning_rate": 0.0001,
"logging_steps": 5000,
"lr_scheduler_type": "cosine",
"num_train_epochs": 2,
"per_device_train_batch_size": 16, # total batch size o... |
Atchuth/DialoGPT-small-MichaelBot | ddb982edf090f702bdef26207d6070da02b3edc8 | 2022-02-12T09:31:27.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Atchuth | null | Atchuth/DialoGPT-small-MichaelBot | 285 | null | transformers | 3,083 | ---
tags:
- conversational
---
# Michael Scott DialoGPT Model |
TVLG/DialoGPT-small-Iroh-Bot | 412c85c5effa5dd3c101c2ef67046ae4a96033bc | 2021-08-31T19:01:17.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | TVLG | null | TVLG/DialoGPT-small-Iroh-Bot | 285 | null | transformers | 3,084 | ---
tags:
- conversational
---
# Iroh DialoGPT Model |
ignkai/DialoGPT-medium-spider-man-updated | dccdfb1cb990851a6dbeb7e3941bdf2488c0c90b | 2021-08-26T18:35:59.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ignkai | null | ignkai/DialoGPT-medium-spider-man-updated | 285 | null | transformers | 3,085 | ---
tags:
- conversational
---
# MCU Peter Parker DialoGPT Model |
yongzx/gpt2-finetuned-oscar-ko | c0f865438702d384106f0a9bd23471d2a47feff1 | 2021-12-09T06:53:05.000Z | [
"pytorch",
"gpt2",
"feature-extraction",
"ko",
"dataset:oscar",
"transformers",
"text-generation",
"license:mit"
] | feature-extraction | false | yongzx | null | yongzx/gpt2-finetuned-oscar-ko | 285 | null | transformers | 3,086 | ---
language:
- ko
tags:
- text-generation
license: mit
datasets:
- oscar
widget:
- text: "모든사람은교육을 "
---
# GPT-2 finetuned on Korean Dataset
### Tokenizer
We first trained a tokenizer on OSCAR's `unshuffled_original_ko` Korean data subset by following the training of GPT2 tokenizer (same vocab size of 50,257). Here... |
IDEA-CCNL/Randeng-BART-139M | e9eeeea97bf541d9df4fd670dd0e6344450fcbbe | 2022-04-26T06:27:03.000Z | [
"pytorch",
"bart",
"text2text-generation",
"zh",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | IDEA-CCNL | null | IDEA-CCNL/Randeng-BART-139M | 285 | null | transformers | 3,087 | ---
language:
- zh
license: apache-2.0
inference: true
widget:
- text: "桂林市是世界闻名<mask> ，它有悠久的<mask>"
---
# Randeng-BART-139M model (Chinese)，one model of [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM).
The 139M million parameter Randeng-BART large model, using 180G Chinese data, 8 A100(40G) trai... |
laituan245/molt5-large-smiles2caption | e307e7a1f959d4c9ba6553ce656440cd5d3b4660 | 2022-05-03T18:08:31.000Z | [
"pytorch",
"t5",
"text2text-generation",
"arxiv:2204.11817",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | laituan245 | null | laituan245/molt5-large-smiles2caption | 285 | null | transformers | 3,088 | ---
license: apache-2.0
---
This model can be used to generate an input caption from a SMILES string.
## Example Usage
```python
from transformers import T5Tokenizer, T5ForConditionalGeneration
tokenizer = T5Tokenizer.from_pretrained("laituan245/molt5-large-smiles2caption", model_max_length=512)
model = T5ForConditi... |
IlyaGusev/rut5_base_sum_gazeta | f09a08cae5d74c70e55da1a6ebb49f88c26f433b | 2022-07-13T15:36:04.000Z | [
"pytorch",
"t5",
"text2text-generation",
"ru",
"dataset:IlyaGusev/gazeta",
"transformers",
"summarization",
"license:apache-2.0",
"autotrain_compatible"
] | summarization | false | IlyaGusev | null | IlyaGusev/rut5_base_sum_gazeta | 284 | null | transformers | 3,089 | ---
language:
- ru
tags:
- summarization
- t5
datasets:
- IlyaGusev/gazeta
license:
- apache-2.0
inference:
parameters:
no_repeat_ngram_size: 4
widget:
- text: "Высота башни составляет 324 метра (1063 фута), примерно такая же высота, как у 81-этажного здания, и самое высокое сооружение в Париже. Его основание ква... |
Narrativa/mT5-base-finetuned-tydiQA-xqa | 54447b261a0bbcc1e7bb059771526ebe416d8593 | 2021-08-23T09:57:00.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"multilingual",
"dataset:tydiqa",
"arxiv:2010.11934",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Narrativa | null | Narrativa/mT5-base-finetuned-tydiQA-xqa | 284 | 2 | transformers | 3,090 | ---
language: multilingual
datasets:
- tydiqa
widget:
- text: "question: what does she do? context: Sofía has a degree in Communications and public relations agency experience where she was in charge of monitoring and managing PR strategy including relations with the media and journalists."
---
# mT5-base fine-tuned o... |
ayush19/rick-sanchez | 6d60abf10b45df3b208b605e82a809b3671e6356 | 2021-09-04T06:24:59.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ayush19 | null | ayush19/rick-sanchez | 284 | 1 | transformers | 3,091 | ---
tags:
- conversational
---
# RudeRick discord bot |
cl-tohoku/bert-large-japanese-char | f5ceff35f899334a0440b1dc818dfbfc9e23d58a | 2021-09-23T13:45:39.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ja",
"dataset:wikipedia",
"transformers",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | fill-mask | false | cl-tohoku | null | cl-tohoku/bert-large-japanese-char | 284 | 1 | transformers | 3,092 | ---
language: ja
license: cc-by-sa-4.0
datasets:
- wikipedia
widget:
- text: 東北大学で[MASK]の研究をしています。
---
# BERT large Japanese (character-level tokenization with whole word masking, jawiki-20200831)
This is a [BERT](https://github.com/google-research/bert) model pretrained on texts in the Japanese language.
This versi... |
ericklasco/DialoGPT-small-erickHarryPotter | 34ccd5db7af6b1d48977af8f4a9fdbb1f13fdd9e | 2021-08-27T13:13:46.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ericklasco | null | ericklasco/DialoGPT-small-erickHarryPotter | 284 | null | transformers | 3,093 | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model |
flax-community/dansk-gpt-wiki | b452553d01fe86746a5278641f9fc4ba1a55a02d | 2021-07-17T07:46:51.000Z | [
"pytorch",
"jax",
"tensorboard",
"gpt2",
"text-generation",
"da",
"transformers"
] | text-generation | false | flax-community | null | flax-community/dansk-gpt-wiki | 284 | 2 | transformers | 3,094 | ---
language: da
widget:
- text: "Jeg elsker livet"
---
# GPT2-svenska-wikipedia
A Danish GPT2 style model trained using Flax CLM pipeline on the Danish
part of the wiki40b dataset.
https://huggingface.co/datasets/wiki40b
## Model series
This model is part of a series of models training on TPU with Flax Jax during H... |
fleek/wav2vec-large-xlsr-korean | 72f1724a95b56ea37c8f2d0a310859db09bd1db2 | 2021-07-06T03:24:07.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | fleek | null | fleek/wav2vec-large-xlsr-korean | 284 | null | transformers | 3,095 | Entry not found |
hyunwoongko/reddit-3B | 2c1fe21ab2a565756cae55c2136a8e3786701ac2 | 2021-06-22T15:53:45.000Z | [
"pytorch",
"blenderbot",
"text2text-generation",
"en",
"dataset:blended_skill_talk",
"arxiv:1907.06616",
"transformers",
"convAI",
"conversational",
"facebook",
"license:apache-2.0",
"autotrain_compatible"
] | conversational | false | hyunwoongko | null | hyunwoongko/reddit-3B | 284 | 3 | transformers | 3,096 | ---
language:
- en
thumbnail:
tags:
- convAI
- conversational
- facebook
license: apache-2.0
datasets:
- blended_skill_talk
metrics:
- perplexity
---
## Model description
+ Paper: [Recipes for building an open-domain chatbot](https://arxiv.org/abs/1907.06616)
+ [Original PARLAI Code](https://parl.ai/projects/recipes... |
ishraaqparvez/DialoGPT-small-harrypotter | 2a97cd0ad8e72ebbb89f527358326fa5b34614e1 | 2021-08-27T05:54:14.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ishraaqparvez | null | ishraaqparvez/DialoGPT-small-harrypotter | 284 | null | transformers | 3,097 | ---
tags:
- conversational
---
# Hrry Potter DialoGPT Model
|
lassl/bert-ko-base | 51ecc13218a37096debce75fa021ed05aed64f2e | 2022-02-19T09:50:35.000Z | [
"pytorch",
"bert",
"pretraining",
"ko",
"transformers",
"fill-mask",
"korean",
"lassl",
"license:apache-2.0"
] | fill-mask | false | lassl | null | lassl/bert-ko-base | 284 | 1 | transformers | 3,098 | ---
license: apache-2.0
language: ko
tags:
- fill-mask
- korean
- lassl
mask_token: "[MASK]"
widget:
- text: 대한민국의 수도는 [MASK] 입니다.
---
# LASSL bert-ko-base
## How to use
```python
from transformers import AutoModel, AutoTokenizer
model = AutoModel.from_pretrained("lassl/bert-ko-base")
tokenize... |
pastlecry/DialoGPT-small-harrypotter | ac92d25d237424b4122f7abd86d4e4633ba3768b | 2021-12-11T16:11:06.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | pastlecry | null | pastlecry/DialoGPT-small-harrypotter | 284 | null | transformers | 3,099 | ---
tags:
- conversational
---
#Harry Potter DialoGPT MOdel |
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