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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
nvkha/bert-qa-vi | 0833d29c7f224469100e84ef3c5d447736bf5cbc | 2022-02-02T06:22:15.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | nvkha | null | nvkha/bert-qa-vi | 0 | null | transformers | 35,800 | Suggest under 1k character |
nyu-mll/roberta-base-1B-1 | 71bca774d4a7399d7da0990a6dbdd2d30642291e | 2021-05-20T19:03:06.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | nyu-mll | null | nyu-mll/roberta-base-1B-1 | 0 | null | transformers | 35,801 | # RoBERTa Pretrained on Smaller Datasets
We pretrain RoBERTa on smaller datasets (1M, 10M, 100M, 1B tokens). We release 3 models with lowest perplexities for each pretraining data size out of 25 runs (or 10 in the case of 1B tokens). The pretraining data reproduces that of BERT: We combine English Wikipedia and a repr... |
obss/mt5-small-3task-prepend-tquad2 | 82ba154657e40f601637403b9e5f8196c604d6fe | 2021-12-03T23:55:18.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"tr",
"dataset:tquad1",
"dataset:tquad2",
"dataset:xquad",
"arxiv:2111.06476",
"transformers",
"question-generation",
"answer-extraction",
"question-answering",
"text-generation",
"license:cc-by-4.0",
"autotrain_compatible"
] | text2text-generation | false | obss | null | obss/mt5-small-3task-prepend-tquad2 | 0 | null | transformers | 35,802 | ---
language: tr
datasets:
- tquad1
- tquad2
- xquad
tags:
- text2text-generation
- question-generation
- answer-extraction
- question-answering
- text-generation
pipeline_tag: text2text-generation
widget:
- text: "answer: film ve TV haklarını context: Legendary Entertainment, 2016 yılında bilimkurgu romanı Dune'un f... |
odinmay/joebot | 926fc217bc407b6c0d3dbbfb94f8d553443daa3d | 2021-06-05T03:37:20.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | odinmay | null | odinmay/joebot | 0 | null | transformers | 35,803 | ---
tags:
- conversational
---
# Joebot |
ogpat123/DialoGPT-small-Michael | 49812e513662faf4a04011d6e18a09ebcef36b66 | 2022-02-08T09:03:03.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ogpat123 | null | ogpat123/DialoGPT-small-Michael | 0 | null | transformers | 35,804 | ---
tags:
- conversational
---
# Michael DialoGPT model |
omnimokha/DialoGPT-medium-jakeamal | 1bd71103481960e563c975845887db0b6361a19f | 2021-09-10T22:42:14.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | omnimokha | null | omnimokha/DialoGPT-medium-jakeamal | 0 | null | transformers | 35,805 | ---
tags:
- conversational
---
# DialoGPT Jakeamal model |
omnimokha/DialoGPT-small-jakeamal | 4de700bcc1f3cdae2467c110abc93cc239354e62 | 2021-09-10T22:26:43.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | omnimokha | null | omnimokha/DialoGPT-small-jakeamal | 0 | null | transformers | 35,806 | ---
tags:
- conversational
---
# DialoGPT Jakeamal model |
omnimokha/jakebot2 | a3798565392e411ce22bbc7db81454b68989e864 | 2021-09-12T03:14:24.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | omnimokha | null | omnimokha/jakebot2 | 0 | null | transformers | 35,807 | ---
tags:
- conversational
---
# DialoGPT Jakeamal model |
omoekan/opus-tatoeba-eng-yor | 1e4d4253b0666205c4b4dfc92ab2c8c10c416dd8 | 2022-02-05T10:15:11.000Z | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | omoekan | null | omoekan/opus-tatoeba-eng-yor | 0 | null | transformers | 35,808 | ## OPUS Tatoeba English-Yoruba
This model was obtained by running the script convert_marian_to_pytorch.py with the flag -m eng-yor. The original models were trained by Jörg Tiedemann using the MarianNMT library. See all available MarianMTModel models on the profile of the Helsinki NLP group.
---
- tags: translation... |
openclimatefix/dgmr-generator | 9f24d2a8444a84409a8af349a11fb57a4710aa4d | 2022-02-02T16:54:27.000Z | [
"pytorch"
] | null | false | openclimatefix | null | openclimatefix/dgmr-generator | 0 | null | null | 35,809 | Entry not found |
orendar/distilbert-base-cased-finetuned-conll03-english | 9db71fd18194434b7b1d18b72e56953c2b79f561 | 2021-01-05T11:26:25.000Z | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | orendar | null | orendar/distilbert-base-cased-finetuned-conll03-english | 0 | null | transformers | 35,810 | Entry not found |
orendar/en_he_base | ae3c45f8167225ca804fde3898b071ca6b69b6e2 | 2022-05-01T12:11:58.000Z | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | orendar | null | orendar/en_he_base | 0 | null | transformers | 35,811 | Entry not found |
orri/IceBERT-finetuned-ner | f0927451c9da138adb048311c06dde47dc0eb175 | 2021-10-01T15:49:00.000Z | [
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"dataset:mim_gold_ner",
"transformers",
"generated_from_trainer",
"license:gpl-3.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | orri | null | orri/IceBERT-finetuned-ner | 0 | null | transformers | 35,812 | ---
license: gpl-3.0
tags:
- generated_from_trainer
datasets:
- mim_gold_ner
metrics:
- precision
- recall
- f1
- accuracy
widget:
- text: Systurnar Guðrún og Monique átu einar á McDonalds og horfðu á Stöð 2, þar glitti í Bruce Willis leika í Die Hard 2.
model-index:
- name: IceBERT-finetuned-ner
results:
- task:
... |
osanseviero/ConvTasNet_Libri1Mix_enhsingle_16k | 4601b9678f3a3eae81f61499718c33dfbe1c3da6 | 2021-09-23T16:16:32.000Z | [
"pytorch",
"dataset:Libri1Mix",
"dataset:enh_single",
"audio",
"ConvTasNet",
"audio-to-audio",
"license:cc-by-sa-4.0"
] | audio-to-audio | false | osanseviero | null | osanseviero/ConvTasNet_Libri1Mix_enhsingle_16k | 0 | null | null | 35,813 | ---
tags:
- audio
- ConvTasNet
- audio-to-audio
datasets:
- Libri1Mix
- enh_single
license: cc-by-sa-4.0
library_tag: generic
---
## Clone from Asteroid model `JorisCos/ConvTasNet_Libri1Mix_enhsignle_16k`
Description:
This model was trained by Joris Cosentino using the librimix recipe in [Asteroid](https://github.co... |
osanseviero/dummy-model2 | b4e4cf150705f20dab52ddb44111b6683e81d34b | 2021-06-30T18:59:53.000Z | [
"pytorch",
"camembert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | osanseviero | null | osanseviero/dummy-model2 | 0 | null | transformers | 35,814 | Entry not found |
osanseviero/flair-ner-english3 | c556f812228fdf38bc225065dc9ab1164048ed5e | 2021-06-10T10:46:45.000Z | [
"pytorch"
] | null | false | osanseviero | null | osanseviero/flair-ner-english3 | 0 | null | null | 35,815 | Entry not found |
osanseviero/full-sentence-upload-to-hub2 | 8afa3969c5724cf91739e0172ebe104cb774571b | 2021-05-20T19:12:25.000Z | [
"pytorch",
"jax",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | osanseviero | null | osanseviero/full-sentence-upload-to-hub2 | 0 | null | transformers | 35,816 | Entry not found |
osanseviero/just-a-test2 | bc8e72d9337391e10138fc066e5642a2942fa4f0 | 2022-07-01T06:49:46.000Z | [
"pytorch",
"roberta",
"feature-extraction",
"sentence-transformers",
"causal-lm",
"license:cc-by-sa-4.0",
"sentence-similarity"
] | sentence-similarity | false | osanseviero | null | osanseviero/just-a-test2 | 0 | null | sentence-transformers | 35,817 | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- causal-lm
license:
- cc-by-sa-4.0
---
# TODO: Name of Model
TODO: Description
## Model Description
TODO: Add relevant content
(0) Base Transformer Type: RobertaModel
(1) Pooling mean
## Usage (Sentence-Transformers)
Using this model becomes m... |
osanseviero/upload-to-hub | c41d941f2b9a849c64c18928c667363094454124 | 2021-05-20T19:13:12.000Z | [
"pytorch",
"jax",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | osanseviero | null | osanseviero/upload-to-hub | 0 | null | transformers | 35,818 | Example card
Second modification |
osunlp/ReasonBERT-TAPAS-base | 65dfad734539724a417c7877f9d2dd2328446f9e | 2021-09-13T05:46:43.000Z | [
"pytorch",
"tapas",
"feature-extraction",
"transformers"
] | feature-extraction | false | osunlp | null | osunlp/ReasonBERT-TAPAS-base | 0 | null | transformers | 35,819 | Entry not found |
owen99630/catexp | b09b21e32a50f9ca27117892a9af6ab67b036ea4 | 2021-09-29T13:27:55.000Z | [
"pytorch",
"roberta",
"transformers"
] | null | false | owen99630 | null | owen99630/catexp | 0 | null | transformers | 35,820 | Entry not found |
owencubes/DialoGPT-small-Josuke | ff456962d2e21a6fbc457411a5a902df052a8738 | 2021-08-29T21:39:13.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | owencubes | null | owencubes/DialoGPT-small-Josuke | 0 | null | transformers | 35,821 | ---
tags:
- conversational
---
# Test |
oya163/NepBERT | 48e21e711754350db73b0e4c79f008d92942d7f2 | 2021-05-20T19:14:16.000Z | [
"pytorch",
"jax",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | oya163 | null | oya163/NepBERT | 0 | null | transformers | 35,822 | Entry not found |
p208p2002/qmst-qgg-qa | 259afd243a3046ae77c116f68b3efe970421f81e | 2021-06-19T05:04:13.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | p208p2002 | null | p208p2002/qmst-qgg-qa | 0 | null | transformers | 35,823 | Entry not found |
pablouribe/bertstem | ad78bd6fb51e32f68309cb9324fe8983031d1acc | 2021-11-11T18:11:49.000Z | [
"pytorch",
"bert",
"pretraining",
"transformers"
] | null | false | pablouribe | null | pablouribe/bertstem | 0 | null | transformers | 35,824 | # BERT-STEM
BERT model fine-tuned on Science Technology Engineering and Mathematics (STEM) lessons.
## Install:
To install from pip:
```
pip install bertstem
```
## Quickstart
To encode sentences and get embedding matrix for embedding layers:
```python
from BERT_STEM.BertSTEM import *
bert = BertSTEM()
# Exampl... |
paladinx00/rh-bender | 38f073a38da43644c6f583641bba93d078db1b65 | 2021-07-17T16:05:35.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | paladinx00 | null | paladinx00/rh-bender | 0 | null | transformers | 35,825 | ---
tags:
- conversational
---
# GPT |
parhamabedazad/ft-bz | d95ef282f46dff940b31c9eba74975085d76c50a | 2022-01-01T18:53:04.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | parhamabedazad | null | parhamabedazad/ft-bz | 0 | null | transformers | 35,826 | Entry not found |
parigaswetha/DialoGPT-small-jakeperalta | 1b3ba23a7e99f4a7ca9a10fc25f12acf21aa9966 | 2022-02-08T19:35:24.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | parigaswetha | null | parigaswetha/DialoGPT-small-jakeperalta | 0 | null | transformers | 35,827 | ---
tags:
- conversational
---
# Jake Peralta DialoGPT Model |
parthsinha/DialoGPT-small-rickandmorty | da630a8461d05f39252e309f64b6978524ae0d24 | 2021-10-04T13:30:49.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | parthsinha | null | parthsinha/DialoGPT-small-rickandmorty | 0 | null | transformers | 35,828 | ---
tags:
- conversational
---
#Rick and Morty DialoGPT Model |
patricklai14/tapt_citation | 065cb2df377138991778a73a1db9ec00fd10dfc4 | 2021-05-20T19:15:14.000Z | [
"pytorch",
"jax",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | patricklai14 | null | patricklai14/tapt_citation | 0 | null | transformers | 35,829 | Entry not found |
patrickvonplaten/data2vec-base | 650cb56bf0ba309ab4514b79700fc51c7135721b | 2022-04-18T16:29:03.000Z | [
"pytorch",
"data2vec-audio",
"feature-extraction",
"en",
"dataset:librispeech_asr",
"arxiv:2202.03555",
"transformers",
"speech",
"license:apache-2.0"
] | feature-extraction | false | patrickvonplaten | null | patrickvonplaten/data2vec-base | 0 | null | transformers | 35,830 | ---
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... |
patrickvonplaten/dummy_to_del | 2ffdceee0753c3b31882e897d1e477b9681d28cf | 2021-05-26T11:23:40.000Z | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | patrickvonplaten | null | patrickvonplaten/dummy_to_del | 0 | null | transformers | 35,831 | Entry not found |
patrickvonplaten/dummy_wav2vec2_with_adapter | f4d9ec9942b629768f2a380247b1c8a58e3931e8 | 2022-02-02T11:06:17.000Z | [
"pytorch",
"wav2vec2",
"feature-extraction",
"transformers"
] | feature-extraction | false | patrickvonplaten | null | patrickvonplaten/dummy_wav2vec2_with_adapter | 0 | null | transformers | 35,832 | Entry not found |
patrickvonplaten/sew-mid-100k-librispeech-clean-100h-ft | 20e4af30fb69f62c2eb7f634afd100956f3ecedc | 2021-12-20T12:53:26.000Z | [
"pytorch",
"tensorboard",
"sew",
"automatic-speech-recognition",
"transformers",
"librispeech_asr",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | patrickvonplaten | null | patrickvonplaten/sew-mid-100k-librispeech-clean-100h-ft | 0 | null | transformers | 35,833 | ---
license: apache-2.0
tags:
- automatic-speech-recognition
- librispeech_asr
- generated_from_trainer
model-index:
- name: sew-mid-100k-librispeech-clean-100h-ft
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofre... |
patrickvonplaten/wav2vec2-base-100h-13K-steps | 408690c6146563a72807cb77026e57b5e8cc8839 | 2021-03-03T13:11:07.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | patrickvonplaten | null | patrickvonplaten/wav2vec2-base-100h-13K-steps | 0 | null | transformers | 35,834 | Fine-tuning of `wav2vec2-base` on 100h of Librispeech training data. Results on "clean" data are very similar to the ones of the [official model](https://huggingface.co/facebook/wav2vec2-base-100h). However, the result on "other" is significantly worse - the model seems to have overfitting to the "clean" data.
Model w... |
patrickvonplaten/wav2vec2-base-random | 74835ba563e79a9e7743e7ad36473159e6a644da | 2021-10-22T15:56:55.000Z | [
"pytorch",
"wav2vec2",
"feature-extraction",
"transformers"
] | feature-extraction | false | patrickvonplaten | null | patrickvonplaten/wav2vec2-base-random | 0 | null | transformers | 35,835 | Entry not found |
patrickvonplaten/wav2vec2-common_voice-tamil | d1b7543d186217b9f745efc9b329cd8df486b0c0 | 2022-02-01T14:17:40.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"ta",
"dataset:common_voice",
"transformers",
"common_voice",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | patrickvonplaten | null | patrickvonplaten/wav2vec2-common_voice-tamil | 0 | null | transformers | 35,836 | ---
language:
- ta
license: apache-2.0
tags:
- automatic-speech-recognition
- common_voice
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-common_voice-tamil
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. Y... |
patrickvonplaten/wav2vec2-large-xlsr-129-turkish-colab | d1400d953f36cc08e629dc6f3c1df16292af10cf | 2021-10-27T17:08:13.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"model-index"
] | automatic-speech-recognition | false | patrickvonplaten | null | patrickvonplaten/wav2vec2-large-xlsr-129-turkish-colab | 0 | null | transformers | 35,837 | ---
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xlsr-129-turkish-colab
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.... |
patrickvonplaten/wav2vec2-large-xlsr-turkish-demo-colab | 38e6fca7875aae416436220a6f167cfad2f8fcfb | 2021-10-19T17:18:47.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | patrickvonplaten | null | patrickvonplaten/wav2vec2-large-xlsr-turkish-demo-colab | 0 | null | transformers | 35,838 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xlsr-turkish-demo-colab
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... |
patrickvonplaten/wav2vec2-xls-r-100m-common_voice-tr-ft | eb295d91e297ece394b9184c4614d60b47e5aab7 | 2021-11-14T16:43:55.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"tr",
"dataset:common_voice",
"transformers",
"common_voice",
"generated_from_trainer",
"xls_r_repro_common_voice_tr",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | patrickvonplaten | null | patrickvonplaten/wav2vec2-xls-r-100m-common_voice-tr-ft | 0 | null | transformers | 35,839 | ---
language:
- tr
license: apache-2.0
tags:
- automatic-speech-recognition
- common_voice
- generated_from_trainer
- xls_r_repro_common_voice_tr
datasets:
- common_voice
model-index:
- name: wav2vec2-xls-r-100m-common_voice-tr-ft
results: []
---
<!-- This model card has been generated automatically according to the... |
patrickvonplaten/wav2vec2_tiny_random | 24bc33e6e5d824bef7eafd205bb0a70dcffec750 | 2021-07-05T13:53:54.000Z | [
"pytorch",
"wav2vec2",
"feature-extraction",
"transformers"
] | feature-extraction | false | patrickvonplaten | null | patrickvonplaten/wav2vec2_tiny_random | 0 | null | transformers | 35,840 | ## Test model
To test this model run the following code:
```python
from datasets import load_dataset
from transformers import Wav2Vec2ForCTC
import torchaudio
import torch
ds = load_dataset("patrickvonplaten/librispeech_asr_dummy", "clean", split="validation")
model = Wav2Vec2ForCTC.from_pretrained("patrickvonplate... |
patrickvonplaten/xls-r-300m-sv-cv8 | 56c65864b2cfdc76946c1251aafb740e5138c908 | 2022-03-24T11:54:05.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"sv-SE",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"mozilla-foundation/common_voice_8_0",
"generated_from_trainer",
"sv",
"robust-speech-event",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-ind... | automatic-speech-recognition | false | patrickvonplaten | null | patrickvonplaten/xls-r-300m-sv-cv8 | 0 | null | transformers | 35,841 | ---
language:
- sv-SE
license: apache-2.0
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
- sv
- robust-speech-event
- hf-asr-leaderboard
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: XLS-R-300M - Swedish - CV8 - v2
results:
- task:
na... |
peggyhuang/SciBERT-CoQA | 85d08d1c348b58419270c02fd1a3e99c5a9083a0 | 2021-11-27T11:43:10.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | peggyhuang | null | peggyhuang/SciBERT-CoQA | 0 | null | transformers | 35,842 | Entry not found |
peggyhuang/finetune-SciBert-v2 | 17f2645388f80da94d810ecf01531b219264b473 | 2022-01-17T07:12:34.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | peggyhuang | null | peggyhuang/finetune-SciBert-v2 | 0 | null | transformers | 35,843 | Entry not found |
peggyhuang/finetune-bert-base-v1 | 7c916e2453c2a64bcdb93d44d6e8c747e95560db | 2021-12-13T04:11:11.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | peggyhuang | null | peggyhuang/finetune-bert-base-v1 | 0 | null | transformers | 35,844 | Entry not found |
peggyhuang/finetune-bert-base-v2 | b00820a6a54ca72239f6747200110dfb0589d305 | 2022-01-17T07:21:17.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | peggyhuang | null | peggyhuang/finetune-bert-base-v2 | 0 | null | transformers | 35,845 | Entry not found |
peggyhuang/nolog-SciBert-v2 | 084b8c5e05a69e97fbe3bee2b4603f0141dab315 | 2022-01-17T07:33:18.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | peggyhuang | null | peggyhuang/nolog-SciBert-v2 | 0 | null | transformers | 35,846 | Entry not found |
peixian/bridge-scribe | 8d48f8039ac60e6de51d6d0804b5592dde7bfa2a | 2021-06-20T17:05:16.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | peixian | null | peixian/bridge-scribe | 0 | null | transformers | 35,847 | Entry not found |
pere/nb-nn-dev2 | 06f299eac8157b83e64029861c48723782abfd82 | 2021-09-23T16:19:18.000Z | [
"pytorch",
"jax",
"no",
"dataset:oscar",
"translation",
"license:cc-by-4.0"
] | translation | false | pere | null | pere/nb-nn-dev2 | 0 | null | null | 35,848 | ---
language: no
license: cc-by-4.0
tags:
- translation
datasets:
- oscar
widget:
- text: Skriv inn en tekst som du ønsker å oversette til en annen målform.
---
# Norwegian T5 - Translation Bokmål Nynorsk - Development
## Description
This is the development version of the Bokmål-Nynorsk translator. If you want someth... |
pere/nb-roberta-base-scandinavian-long | b6fe1e0dcce11016f027454f9ec730e56e55cd12 | 2021-11-25T18:21:53.000Z | [
"pytorch",
"jax",
"tensorboard",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | pere | null | pere/nb-roberta-base-scandinavian-long | 0 | null | transformers | 35,849 | # This is just a Test Model. Do NOT use for anything!
Continued pretrained from the nb-roberta-base.
The domain specific pretraining is done on the 102GB (Scandinavian corpus)[https://huggingface.co/datasets/NbAiLab/scandinavian].
## Train for 180k steps for 128 sequences:
```bash
./run_mlm_flax_stream.py \
--o... |
peterhsu/distilbert-base-uncased-finetuned-imdb-accelerate | ca8b7a194e288b721a6f7b6aa8d19444f85a1bba | 2022-02-15T13:46:25.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | peterhsu | null | peterhsu/distilbert-base-uncased-finetuned-imdb-accelerate | 0 | null | transformers | 35,850 | Entry not found |
pewriebontal/DialoGPT-medium-Pewpewbon | 07ea6ed54b2c5d7ddffbcd98dbf3432ab2023fb2 | 2021-06-13T11:46:24.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | pewriebontal | null | pewriebontal/DialoGPT-medium-Pewpewbon | 0 | null | transformers | 35,851 | ---
tags:
- conversational
---
# My Awesome Model |
phantom-deluxe/dialoGPT-RickBot | 335e81b22c14a8cfa58d729d8d1ff530a1b6db69 | 2021-09-18T04:05:36.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | phantom-deluxe | null | phantom-deluxe/dialoGPT-RickBot | 0 | null | transformers | 35,852 | ---
tags:
- conversational
---
#Rick Style dialoGPT Model |
phantom-deluxe/dialoGPT-harry | 4b860a78c0d8149a3a17e9a6d6cbc3506a4d7d08 | 2021-09-16T13:29:51.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | phantom-deluxe | null | phantom-deluxe/dialoGPT-harry | 0 | null | transformers | 35,853 | ---
tags:
- conversational
---
#Harry Style dialoGPT Model |
philschmid/pt-test | 992fc3657d646769ba4407239fe1c6a8588e0bac | 2022-01-24T07:46:22.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | philschmid | null | philschmid/pt-test | 0 | null | transformers | 35,854 | Entry not found |
phongdtd/fb-vindata-vi-large | fa1b25704aa9011973452ab134c7785c2afff544 | 2022-02-24T10:24:38.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"phongdtd/VinDataVLSP",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | phongdtd | null | phongdtd/fb-vindata-vi-large | 0 | null | transformers | 35,855 | ---
license: apache-2.0
tags:
- automatic-speech-recognition
- phongdtd/VinDataVLSP
- generated_from_trainer
model-index:
- name: fb-vindata-vi-large
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complet... |
phongdtd/fb-youtube-vi-large | 51b2b513289287aa355154191855bc0b4cbbd193 | 2022-02-23T13:56:55.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"phongdtd/youtube_casual_audio",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | phongdtd | null | phongdtd/fb-youtube-vi-large | 0 | null | transformers | 35,856 | ---
license: apache-2.0
tags:
- automatic-speech-recognition
- phongdtd/youtube_casual_audio
- generated_from_trainer
model-index:
- name: fb-youtube-vi-large
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread an... |
phozon/harry-potter-medium | 39aebf959c64be5700c18b469e3a7cdc768847ca | 2021-06-22T20:23:17.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | phozon | null | phozon/harry-potter-medium | 0 | null | transformers | 35,857 | ---
tags:
- conversational
---
# My Awesome Model |
pitehu/T5_NER_CONLL_LIST | 932fad7362502e0e399a1b5995fff791619b4a78 | 2022-01-20T14:32:20.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:wmt19",
"transformers",
"Named Entity Recognition",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | pitehu | null | pitehu/T5_NER_CONLL_LIST | 0 | null | transformers | 35,858 | ---
language:
- en
tags:
- Named Entity Recognition
license: apache-2.0
datasets:
- wmt19
metrics:
- bleu
- sacrebleu
inference:
parameters:
max_length: 1024
---
|
pixyz/distilbert-base-uncased-finetuned-squad | 6a028ec273761e49de82188ba02d51156ee1d5c0 | 2021-11-20T14:49:58.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | pixyz | null | pixyz/distilbert-base-uncased-finetuned-squad | 0 | null | transformers | 35,859 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: distilbert-base-uncased-finetuned-squad
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remov... |
piyushdubey/DialoGPT-Mi | 4986fa86aad9d8f1c332740d01e65fc3a44b75a3 | 2021-09-20T21:19:09.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | piyushdubey | null | piyushdubey/DialoGPT-Mi | 0 | null | transformers | 35,860 | ---
tags:
- conversational
---
# Sheldon GPT Model |
porpaul/t5-small-finetuned-xsum | e72518929ceb01914cb330eee68560bc1e0b07a7 | 2022-01-16T06:59:38.000Z | [
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"dataset:xlsum",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | porpaul | null | porpaul/t5-small-finetuned-xsum | 0 | null | transformers | 35,861 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- xlsum
metrics:
- rouge
model-index:
- name: t5-small-finetuned-xsum
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: xlsum
type: xlsum
args: chinese_traditional... |
ppletscher/dummy | c320c820f57922d78ae76662bbb33727558c4115 | 2021-07-16T09:21:12.000Z | [
"pytorch",
"camembert",
"fill-mask",
"fr",
"transformers",
"autotrain_compatible"
] | fill-mask | false | ppletscher | null | ppletscher/dummy | 0 | null | transformers | 35,862 | ---
language: fr
---
# Foo
Bar
|
prajjwal1/ctrl_discovery_4 | 85ef10cdb41e591a2c4b91d19ca261c63704d0da | 2021-03-19T20:28:51.000Z | [
"pytorch",
"ctrl",
"text-generation",
"transformers"
] | text-generation | false | prajjwal1 | null | prajjwal1/ctrl_discovery_4 | 0 | null | transformers | 35,863 | Entry not found |
prajjwal1/ctrl_discovery_5 | d95b0591ac168844ab4cc45dd420210af1ed1f96 | 2021-03-23T02:54:01.000Z | [
"pytorch",
"ctrl",
"text-generation",
"transformers"
] | text-generation | false | prajjwal1 | null | prajjwal1/ctrl_discovery_5 | 0 | null | transformers | 35,864 | Entry not found |
prajjwal1/ctrl_discovery_flipped_6 | 946f972d415186dbc43c678e3c74a2bc168d3b41 | 2021-06-06T19:32:48.000Z | [
"pytorch",
"ctrl",
"text-generation",
"transformers"
] | text-generation | false | prajjwal1 | null | prajjwal1/ctrl_discovery_flipped_6 | 0 | null | transformers | 35,865 | Entry not found |
prajwalcr/poetry-disgust_gpt2 | b7ad45c952f63332fd980286636a6c852572e82d | 2021-05-29T18:47:21.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | prajwalcr | null | prajwalcr/poetry-disgust_gpt2 | 0 | null | transformers | 35,866 | Entry not found |
prajwalcr/poetry-fear_gpt2 | c8b1aa0dd98c9c78e9559ffa19ef2c000cacfcca | 2021-05-29T19:35:20.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | prajwalcr | null | prajwalcr/poetry-fear_gpt2 | 0 | null | transformers | 35,867 | Entry not found |
prajwalcr/poetry-sadness_gpt2 | 6749594078dea7d952fd0eb867dee11eb86660e6 | 2021-08-03T11:37:37.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | prajwalcr | null | prajwalcr/poetry-sadness_gpt2 | 0 | null | transformers | 35,868 | Entry not found |
prajwalcr/poetry_gpt2 | 0f04d6c001ec0235368ccbd3bd434f5dda035ada | 2021-05-29T08:37:08.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | prajwalcr | null | prajwalcr/poetry_gpt2 | 0 | null | transformers | 35,869 | Entry not found |
pranavtharoor/test | f637758376b1627de457b23d00be26294f65daa9 | 2021-09-10T22:13:07.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | pranavtharoor | null | pranavtharoor/test | 0 | null | transformers | 35,870 | ---
tags:
- conversational
---
# Test Model
|
princeton-nlp/datamux-qnli-40 | 9fb4c2634aa25f989c228274e65867919e85e564 | 2022-02-16T17:01:46.000Z | [
"pytorch",
"roberta",
"transformers"
] | null | false | princeton-nlp | null | princeton-nlp/datamux-qnli-40 | 0 | null | transformers | 35,871 | Entry not found |
princeton-nlp/datamux-qqp-2 | a0f1566b497b6d2f5a9589f437a5676acf6fc0f2 | 2022-02-16T17:02:26.000Z | [
"pytorch",
"roberta",
"transformers"
] | null | false | princeton-nlp | null | princeton-nlp/datamux-qqp-2 | 0 | null | transformers | 35,872 | Entry not found |
princeton-nlp/datamux-qqp-20 | 41422d2a83b1879334c2070ed67d753cf6289330 | 2022-02-16T17:05:39.000Z | [
"pytorch",
"roberta",
"transformers"
] | null | false | princeton-nlp | null | princeton-nlp/datamux-qqp-20 | 0 | null | transformers | 35,873 | Entry not found |
princeton-nlp/datamux-qqp-5 | b0af020f40fcb327d982972a7dcd68a13fba0c8c | 2022-02-16T17:03:38.000Z | [
"pytorch",
"roberta",
"transformers"
] | null | false | princeton-nlp | null | princeton-nlp/datamux-qqp-5 | 0 | null | transformers | 35,874 | Entry not found |
princeton-nlp/datamux-sst2-5 | 4cc7baeac894e53decaf1f1dff21840ea4573614 | 2022-02-16T17:08:25.000Z | [
"pytorch",
"roberta",
"transformers"
] | null | false | princeton-nlp | null | princeton-nlp/datamux-sst2-5 | 0 | null | transformers | 35,875 | Entry not found |
princeton-nlp/densephrases-multi-query-kilt-multi | 24e67af2578a03aac5c223c5d771b4621b131564 | 2021-09-23T18:54:51.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | princeton-nlp | null | princeton-nlp/densephrases-multi-query-kilt-multi | 0 | null | transformers | 35,876 | Entry not found |
princeton-nlp/densephrases-multi-query-wow | 72b86e6d511273ea983184e6f0c4b47760ca6ffa | 2021-09-23T18:48:26.000Z | [
"pytorch",
"bert",
"transformers"
] | null | false | princeton-nlp | null | princeton-nlp/densephrases-multi-query-wow | 0 | null | transformers | 35,877 | Entry not found |
prithivida/bertscrnn-probwordnoise | b99c0e14f89b755ebcfbf7c1e255e7f1722c918b | 2021-12-06T05:57:30.000Z | [
"pytorch",
"en",
"BERT",
"RNN",
"license:mit"
] | null | false | prithivida | null | prithivida/bertscrnn-probwordnoise | 0 | null | null | 35,878 | ---
language:
- en
tags:
- BERT
- RNN
license: "MIT"
---
# NeuSpell: A Neural Spelling Correction Toolkit
This model checkpoint belongs to the Original Neuspell python library and is ported to HuggingFace Hub to be used as a part of NeuSpell-Demo spaces.
- [Refer to the Fork of the library (with HF hub support) in G... |
prithivida/cnn-lstm-probwordnoise | f24fcebe64f3f17f7e328b331fa124ad48e89407 | 2021-12-06T05:56:30.000Z | [
"pytorch",
"en",
"CNN",
"LSTM",
"license:mit"
] | null | false | prithivida | null | prithivida/cnn-lstm-probwordnoise | 0 | null | null | 35,879 | ---
language:
- en
tags:
- CNN
- LSTM
license: "MIT"
---
# NeuSpell: A Neural Spelling Correction Toolkit
This model checkpoint belongs to the Original Neuspell python library and is ported to HuggingFace Hub to be used as a part of NeuSpell-Demo spaces.
- [Refer to the Fork of the library (with HF hub support) in G... |
prithivida/elmoscrnn-probwordnoise | 2262a7ba8b2b473ee305be3723cbf7982f12ae1a | 2021-12-06T05:54:22.000Z | [
"pytorch",
"en",
"ELMo",
"RNN",
"license:mit"
] | null | false | prithivida | null | prithivida/elmoscrnn-probwordnoise | 0 | null | null | 35,880 | ---
language:
- en
tags:
- ELMo
- RNN
license: "MIT"
---
# NeuSpell: A Neural Spelling Correction Toolkit
This model checkpoint belongs to the Original Neuspell python library and is ported to HuggingFace Hub to be used as a part of NeuSpell-Demo spaces.
- [Refer to the Fork of the library (with HF hub support) i... |
pritoms/distilgpt2-YTTranscriptTrial2 | d1896b09075d829c3d1e65ea4b9c23b65027a401 | 2022-02-03T04:46:19.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | pritoms | null | pritoms/distilgpt2-YTTranscriptTrial2 | 0 | null | transformers | 35,881 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-YTTranscriptTrial2
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. -->
# disti... |
pritoms/distilgpt2-finetuned-irll2 | f32737ce8fb7668510c0a332e828c37474077434 | 2021-09-25T11:34:01.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | pritoms | null | pritoms/distilgpt2-finetuned-irll2 | 0 | null | transformers | 35,882 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- null
model-index:
- name: distilgpt2-finetuned-irll2
results:
- task:
name: Causal Language Modeling
type: text-generation
---
<!-- This model card has been generated automatically according to the information the Trainer had access to.... |
pritoms/distilgpt2-finetuned-mit-lecture | f9bc82b421a4a85205fe05bc1dcfe1e4558e226d | 2021-10-21T08:59:34.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | pritoms | null | pritoms/distilgpt2-finetuned-mit-lecture | 0 | null | transformers | 35,883 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-mit-lecture
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. -->
# di... |
pritoms/distilgpt2-finetuned-pgt | fac0f561f0c05ca95187863fb3cbdf217eba41a6 | 2021-09-04T11:16:01.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | pritoms | null | pritoms/distilgpt2-finetuned-pgt | 0 | null | transformers | 35,884 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- null
model-index:
- name: distilgpt2-finetuned-pgt
results:
- task:
name: Causal Language Modeling
type: text-generation
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. Y... |
pritoms/distilgpt2-finetuned-wikitext2 | 5fa01312bd0e3c77f4386831980ef8c1298ef79d | 2021-10-21T21:16:24.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | text-generation | false | pritoms | null | pritoms/distilgpt2-finetuned-wikitext2 | 0 | null | transformers | 35,885 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-wikitext2
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. -->
# dist... |
pritoms/gpt2-group2 | 4ec633d272595e01b0c6a43de09e5787d3b3fda6 | 2022-02-21T23:03:28.000Z | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index"
] | text-generation | false | pritoms | null | pritoms/gpt2-group2 | 0 | null | transformers | 35,886 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-group2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt2-group2
This model is a f... |
promisemee/odqa-roberta-large | ba69bb30708f76d1a8c4230587951b05da7b33cf | 2021-12-15T14:47:15.000Z | [
"pytorch",
"roberta",
"transformers"
] | null | false | promisemee | null | promisemee/odqa-roberta-large | 0 | null | transformers | 35,887 | Entry not found |
prophetikai/gpt-code | 326fe357e67d55f67d99ad722ab85a0169fe62d6 | 2021-08-11T22:24:38.000Z | [
"pytorch",
"tf",
"keras",
"gpt2",
"text-generation"
] | text-generation | false | prophetikai | null | prophetikai/gpt-code | 0 | null | keras | 35,888 | TODO
gpt-code uses the weights and tokenizer of https://huggingface.co/Sentdex/GPyT as a starting point for pretraining |
prows12/wav2vec2-base-timit-demo-test_jong | e685aa56d3b6e25acebc6dc37f8eb661ab656a32 | 2021-10-23T13:10:40.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | prows12 | null | prows12/wav2vec2-base-timit-demo-test_jong | 0 | null | transformers | 35,889 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-timit-demo-test_jong
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. -->
# ... |
proxyht/mdsister-news-100 | df1c1eb45687a598eb291e85cb92925fe969786c | 2021-07-14T11:48:11.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | proxyht | null | proxyht/mdsister-news-100 | 0 | null | transformers | 35,890 | Entry not found |
proycon/robbert2-pos-cased-deepfrog-nld | bf03279dbf37190f034123fca95f0b7f88458150 | 2021-05-20T19:45:16.000Z | [
"pytorch",
"jax",
"roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | proycon | null | proycon/robbert2-pos-cased-deepfrog-nld | 0 | null | transformers | 35,891 | Entry not found |
ps2102/DialoGPT-small-harrypotter | f3e62eab0de21d335ac9d61fb6751ad305b204b1 | 2022-01-24T05:27:19.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ps2102 | null | ps2102/DialoGPT-small-harrypotter | 0 | null | transformers | 35,892 | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model |
pszemraj/Ballpark-Trivia-L | b1e14d7509cd62b11f97290c7eb28ae79ea3ed9a | 2022-01-18T23:32:26.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"dataset:natural questions",
"transformers",
"gpt",
"license:mit"
] | text-generation | false | pszemraj | null | pszemraj/Ballpark-Trivia-L | 0 | null | transformers | 35,893 | ---
language:
- en
tags:
- text-generation
- gpt2
- gpt
license: mit
datasets:
- natural questions
widget:
- text: "how many ping-pong balls fit inside a standard 747 jet aeroplane?\nperson beta:\n\n"
example_title: "ping-pong"
- text: "What is the capital of Uganda?\nperson beta:\n\n"
example_title: "geography"
... |
pszemraj/Ballpark-Trivia-M | cf25fc2fd9e87c3863b2edc70572ec8c17238b3e | 2022-01-18T23:45:09.000Z | [
"pytorch",
"gpt2",
"text-generation",
"en",
"dataset:natural questions",
"transformers",
"gpt",
"license:mit"
] | text-generation | false | pszemraj | null | pszemraj/Ballpark-Trivia-M | 0 | null | transformers | 35,894 | ---
language:
- en
tags:
- text-generation
- gpt2
- gpt
license: mit
datasets:
- natural questions
widget:
- text: "how many ping-pong balls fit inside a standard 747 jet aeroplane?\nperson beta:\n\n"
example_title: "ping-pong"
- text: "What is the capital of Uganda?\nperson beta:\n\n"
example_title: "geography"
... |
pszemraj/t5_1_1-base-writing-analysis | 648ba0e665e479c9572c322db835638401b41a94 | 2022-02-03T23:09:08.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:kmfoda/booksum",
"transformers",
"analysis",
"book",
"notes",
"autotrain_compatible"
] | text2text-generation | false | pszemraj | null | pszemraj/t5_1_1-base-writing-analysis | 0 | null | transformers | 35,895 | ---
language:
- en
tags:
- t5
- analysis
- book
- notes
datasets:
- kmfoda/booksum
metrics:
- rouge
widget:
- text: "A large drop of sun lingered on the horizon and then dripped over and was gone, and the sky was brilliant over the spot where it had gone, and a torn cloud, like a bloody rag, hung over the spot of its... |
pulp/ParentBERTo-4-years-old | 01ae536104f56bd9f27358f625989b0ee145c73f | 2021-12-09T20:55:04.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | pulp | null | pulp/ParentBERTo-4-years-old | 0 | null | transformers | 35,896 | This is a Roberta-based model trained on parents' input before 4 years old. |
qdenisq/BertFormalityClassificiation | 62aa201c04395d781398d4325da0a2bd856f5d2a | 2021-09-05T12:03:23.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | qdenisq | null | qdenisq/BertFormalityClassificiation | 0 | null | transformers | 35,897 | Entry not found |
qqhann/w2v_hf_commonvoice_from_xlsr53_pretrain_0329UTC1500 | bfb4994e32547ea47719acf43eec5e1f7a46b41a | 2021-04-01T15:16:55.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | qqhann | null | qqhann/w2v_hf_commonvoice_from_xlsr53_pretrain_0329UTC1500 | 0 | null | transformers | 35,898 | ---
language: ja
datasets:
- common_voice #TODO: remove if you did not use the common voice dataset
- TODO: add more datasets if you have used additional datasets. Make sure to use the exact same
dataset name as the one found [here](https://huggingface.co/datasets). If the dataset can not be found in the official dat... |
quangtran199hust/layoutlmv2_e | a086fcd08048000f75cf7cc67eeff3cda6ce905b | 2021-10-28T08:17:21.000Z | [
"pytorch",
"tensorboard",
"layoutlmv2",
"token-classification",
"transformers",
"generated_from_trainer",
"license:cc-by-sa-4.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | quangtran199hust | null | quangtran199hust/layoutlmv2_e | 0 | null | transformers | 35,899 | ---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
model-index:
- name: layoutlmv2_e
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. -->
# layoutlmv2_e
This m... |
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