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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
IIC/roberta-base-spanish-squades | e4941d7fc14e98b310699ab895874781edb4f4ef | 2022-04-02T15:10:43.000Z | [
"pytorch",
"roberta",
"question-answering",
"es",
"dataset:squad_es",
"arxiv:2107.07253",
"transformers",
"model-index",
"autotrain_compatible"
] | question-answering | false | IIC | null | IIC/roberta-base-spanish-squades | 267 | 1 | transformers | 3,200 | ---
language:
- es
tags:
- question-answering # Example: audio
datasets:
- squad_es
metrics:
- f1
# Optional. Add this if you want to encode your eval results in a structured way.
model-index:
- name: roberta-base-spanish_sqac
results:
- task:
type: question-answering # Required. Example: automatic-speech-r... |
0xDEADBEA7/DialoGPT-small-rick | c1d2dd6d26adb9a682148b406ffc50d73512f132 | 2022-02-22T05:30:23.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | 0xDEADBEA7 | null | 0xDEADBEA7/DialoGPT-small-rick | 266 | null | transformers | 3,201 | ---
tags:
- conversational
---
# Rick n Morty DialoGPT Model |
Kryptone/RinAI | f20239cb44ed6cb5f1afb77c071663c9d67ecc9b | 2021-10-05T18:00:08.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Kryptone | null | Kryptone/RinAI | 266 | null | transformers | 3,202 | ---
tags:
- conversational
---
# Rin chatbot |
Manthan/DialoGPT-small-harrypotter | 11a3d9ecc5ba8fc124dc364d623c79f04b4fab3d | 2021-09-09T14:55:21.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Manthan | null | Manthan/DialoGPT-small-harrypotter | 266 | null | transformers | 3,203 | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model |
Zeph/DialoGPT-small-rick | eda6c713e144f6977ea7cb6dd4d2e054b7a260b2 | 2021-09-03T09:00:43.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Zeph | null | Zeph/DialoGPT-small-rick | 266 | null | transformers | 3,204 | ---
tags:
- conversational
---
# Rick DialoGPT Model |
deep-learning-analytics/automatic-title-generation | fd90569ff791e8ec0febba0f3ddc757e53d0e126 | 2022-01-23T18:42:43.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | deep-learning-analytics | null | deep-learning-analytics/automatic-title-generation | 266 | 1 | transformers | 3,205 | Entry not found |
jamestop00/DialoGPT-spike-medium | 11b8dbe4351ed92d82411d0e9c2881915d06d8dc | 2022-01-19T04:39:32.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | jamestop00 | null | jamestop00/DialoGPT-spike-medium | 266 | null | transformers | 3,206 | ---
tags:
- conversational
---
# Spike DialoGPT Model |
zenham/mskeen_m_e4_16h | 515ecd220f0b286f31e4ff87fce7eb1fe4abbbb0 | 2022-03-08T00:18:47.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | zenham | null | zenham/mskeen_m_e4_16h | 266 | null | transformers | 3,207 | ---
tags:
- conversational
---
#mskeen m e4 16h 0k DialoGPT Model |
EuropeanTurtle/DialoGPT-small-mrcobb | 8f462a887ae90b382222d845b8e9552c65004c06 | 2021-11-13T10:14:38.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | EuropeanTurtle | null | EuropeanTurtle/DialoGPT-small-mrcobb | 265 | null | transformers | 3,208 | ---
tags:
- conversational
---
# MrCobb DialoGPT Model |
Geezy/DialoGPT-small-guy | c6e9d240f646e3adccb6b017f7bb1189aaa82729 | 2021-08-31T15:29:36.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Geezy | null | Geezy/DialoGPT-small-guy | 265 | null | transformers | 3,209 | ---
tags:
- conversational
---
# Guy DialoGPT Model |
Mona/DialoGPT-small-harrypotter | 378e619df2eab5778cbb7b0c0025a274dc21ffc5 | 2021-10-07T11:34:54.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Mona | null | Mona/DialoGPT-small-harrypotter | 265 | null | transformers | 3,210 | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model |
NikhilKrishna/DialoGPT-medium-harrypotter | dc2fdb19a57751903888b7e51917aad5e81c0ce5 | 2022-01-02T08:01:59.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | NikhilKrishna | null | NikhilKrishna/DialoGPT-medium-harrypotter | 265 | null | transformers | 3,211 | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model |
jaynlp/t5-large-samsum | 31c2f3e0c2b8ed603bb9f54c894a1610f0259600 | 2022-02-17T11:09:10.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | jaynlp | null | jaynlp/t5-large-samsum | 265 | 1 | transformers | 3,212 | Pre-trained t5-large on SAMSuM Dialogue Summarization corpus.
Used the following prompt
```
Summarize this dialogue:
<DIALOGUE>
...
``` |
projecte-aina/m2m100_418M_ft_ca_zh | 03846cad055f4566b26372ebbfe3b062af83c95b | 2022-07-25T06:47:28.000Z | [
"pytorch",
"m2m_100",
"text2text-generation",
"ca",
"zh",
"dataset:projecte-aina/ca_zh_wikipedia",
"transformers",
"translation",
"license:cc-by-4.0",
"model-index",
"autotrain_compatible"
] | translation | false | projecte-aina | null | projecte-aina/m2m100_418M_ft_ca_zh | 265 | null | transformers | 3,213 | ---
inference: false
license: cc-by-4.0
language:
- ca
- zh
tags:
- translation
datasets:
- projecte-aina/ca_zh_wikipedia
metrics:
- "bleu"
model-index:
- name: m2m100_418M_ft_zh_ca
results:
- task:
type: translation
dataset:
type: flores
name: Flores
metrics:
- name: BLEU
... |
Lujia/backdoored_bert | 09110f3fc118b02f437c26b575c71df097b06664 | 2021-05-18T21:29:51.000Z | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | Lujia | null | Lujia/backdoored_bert | 264 | null | transformers | 3,214 |
This model is created for research study which contains backdoor inside the model. Please use it for academic research, don't use it for business scenarios. |
debatelab/argument-analyst | 18d5adb1596ba0f7b3dcca0ba7450a1dd937d374 | 2021-12-06T12:23:43.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:debatelab/aaac",
"arxiv:2110.01509",
"transformers",
"license:cc-by-sa-4.0",
"autotrain_compatible"
] | text2text-generation | false | debatelab | null | debatelab/argument-analyst | 264 | null | transformers | 3,215 | ---
language:
- "en"
license: "cc-by-sa-4.0"
datasets:
- debatelab/aaac
widget:
- text: "reason_statements: argument_source: If Peter likes fish, Peter has been to New York. So, Peter has been to New York."
example_title: "Premise identification"
- text: "argdown_reconstruction: argument_source: If Peter likes fis... |
AbhilashDatta/T5_qgen-squad_v2 | b3c4358dda693920dc657a0bd54510977162a411 | 2022-05-31T02:44:10.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"license:afl-3.0",
"autotrain_compatible"
] | text2text-generation | false | AbhilashDatta | null | AbhilashDatta/T5_qgen-squad_v2 | 264 | 1 | transformers | 3,216 | ---
license: afl-3.0
---
# Question generation using T5 transformer trained on SQuAD
<h2> <i>Input format: context: "..." answer(optional): "..." </i></h2>
Import the pretrained model as well as tokenizer:
```
from transformers import T5ForConditionalGeneration, T5Tokenizer
model = T5ForConditionalGeneration.from_p... |
Cryptikdw/DialoGPT-small-rick | 3b042c7925bf2da80def42da65a2d07a2d294228 | 2021-08-26T19:40:36.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Cryptikdw | null | Cryptikdw/DialoGPT-small-rick | 263 | null | transformers | 3,217 | ---
tags:
- conversational
---
#rick DialoGPT Model |
coderpotter/adversarial-paraphrasing-detector | 50d526fd495debacacff67ad7260c1791ebe5e1b | 2021-10-05T20:09:47.000Z | [
"pytorch",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | coderpotter | null | coderpotter/adversarial-paraphrasing-detector | 263 | 1 | transformers | 3,218 | This model is a paraphrase detector trained on the Adversarial Paraphrasing datasets described and used in this paper: https://aclanthology.org/2021.acl-long.552/.
Github repository: https://github.com/Advancing-Machine-Human-Reasoning-Lab/apt.git
Please cite the following if you use this model:
```bib
@inproceedings{... |
truthisneverlinear/EleventhDoctor | af3921ccce97dff1bd276441034c2a47620b52e8 | 2022-01-24T12:52:53.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | truthisneverlinear | null | truthisneverlinear/EleventhDoctor | 263 | null | transformers | 3,219 | ---
tags:
- conversational
---
# DialoGPT Model: Eleventh Doctor from Doctor Who
so many bugs and I can not fix them |
vinvino02/glpn-nyu | eec5f7782e1f9feab4c5e9726bdd8953c772934c | 2022-04-14T11:52:30.000Z | [
"pytorch",
"glpn",
"arxiv:2201.07436",
"transformers",
"vision",
"depth-estimation",
"license:apache-2.0"
] | null | false | vinvino02 | null | vinvino02/glpn-nyu | 263 | null | transformers | 3,220 | ---
license: apache-2.0
tags:
- vision
- depth-estimation
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: https://huggingface.co/datasets/m... |
microsoft/tapex-base-finetuned-wtq | 12b504c617464103bc4ad03be8bd5c7a40787f51 | 2022-07-14T10:12:33.000Z | [
"pytorch",
"bart",
"text2text-generation",
"en",
"dataset:wikitablequestions",
"arxiv:2107.07653",
"transformers",
"tapex",
"table-question-answering",
"license:mit",
"autotrain_compatible"
] | table-question-answering | false | microsoft | null | microsoft/tapex-base-finetuned-wtq | 263 | 1 | transformers | 3,221 | ---
language: en
tags:
- tapex
- table-question-answering
datasets:
- wikitablequestions
license: mit
---
# TAPEX (base-sized model)
TAPEX was proposed in [TAPEX: Table Pre-training via Learning a Neural SQL Executor](https://arxiv.org/abs/2107.07653) by Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizh... |
LIAMF-USP/aristo-roberta | 15c9c738bb5ef55900c5dfc31965a8033d533f93 | 2021-05-20T12:04:27.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"multiple-choice",
"english",
"dataset:race",
"dataset:ai2_arc",
"dataset:openbookqa",
"transformers",
"license:mit"
] | multiple-choice | false | LIAMF-USP | null | LIAMF-USP/aristo-roberta | 262 | null | transformers | 3,222 | ---
language: "english"
license: "mit"
datasets:
- race
- ai2_arc
- openbookqa
metrics:
- accuracy
---
# Roberta Large Fine Tuned on RACE
## Model description
This model follows the implementation by Allen AI team about [Aristo Roberta V7 Model](https://leaderboard.allenai.org/arc/submission/blcotvl7rrltlue6bsv0) gi... |
digitalepidemiologylab/covid-twitter-bert-v2-mnli | 234a09dbd327036e566d78c364feabe3bc86de61 | 2021-09-22T08:20:04.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"en",
"dataset:mnli",
"arxiv:1909.00161",
"transformers",
"Twitter",
"COVID-19",
"tensorflow",
"license:mit",
"zero-shot-classification"
] | zero-shot-classification | false | digitalepidemiologylab | null | digitalepidemiologylab/covid-twitter-bert-v2-mnli | 262 | null | transformers | 3,223 | ---
language:
- en
thumbnail: https://raw.githubusercontent.com/digitalepidemiologylab/covid-twitter-bert/master/images/COVID-Twitter-BERT_small.png
tags:
- Twitter
- COVID-19
- text-classification
- pytorch
- tensorflow
- bert
license: mit
datasets:
- mnli
pipeline_tag: zero-shot-classification
widget:
- text: To stop... |
facebook/wav2vec2-large | dd5604b2476ee0c9a0efbe9a08ceb5d85afb9b01 | 2021-07-06T03:18:27.000Z | [
"pytorch",
"wav2vec2",
"pretraining",
"en",
"dataset:librispeech_asr",
"arxiv:2006.11477",
"transformers",
"speech",
"license:apache-2.0"
] | null | false | facebook | null | facebook/wav2vec2-large | 262 | null | transformers | 3,224 | ---
language: en
datasets:
- librispeech_asr
tags:
- speech
license: apache-2.0
---
# Wav2Vec2-Large
[Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/)
The base model pretrained on 16kHz sampled speech audio. When using the model make sure that your speec... |
jahz/DialoGPT-medium-FF8 | 8c6ea362c7d8a64d437fdb7d44242b0c819c58ca | 2021-09-20T09:08:48.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | jahz | null | jahz/DialoGPT-medium-FF8 | 262 | null | transformers | 3,225 | ---
tags:
- conversational
---
# FF8 DialoGPT Model |
jalensmh/DialoGPT-medium-jalenbot | d2677e147d244b10148e8b7d771ca241fbd9f54d | 2021-09-01T22:55:25.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | jalensmh | null | jalensmh/DialoGPT-medium-jalenbot | 262 | null | transformers | 3,226 | ---
tags:
- conversational
---
# jalenbot DialoGPT Model |
noobed/DialoGPT-small-astley | 45d0a1c6ff8e535a62eda9ac6707d320686a8da6 | 2021-08-30T13:39:17.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | noobed | null | noobed/DialoGPT-small-astley | 262 | null | transformers | 3,227 | ---
tags:
- conversational
---
# astley talks |
salesken/grammar_correction | ea2da84706074c51aafdc72c16d36f57ebd73c56 | 2021-05-23T12:26:50.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers",
"salesken",
"license:apache-2.0"
] | text-generation | false | salesken | null | salesken/grammar_correction | 262 | 3 | transformers | 3,228 | ---
tags: salesken
license: apache-2.0
inference: false
---
```python
from transformers import AutoTokenizer, AutoModelWithLMHead, AutoModelForCausalLM
import torch
if torch.cuda.is_available():
device = torch.device("cuda")
else :
device = "cpu"
tokenizer = AutoTokenizer.from_pretrained("salesken/grammar_... |
neuralmagic/oBERT-3-downstream-dense-squadv1 | ae5c6167cb39b96f2e8bdceaca99dbd6a749a6d5 | 2022-06-20T11:36:51.000Z | [
"pytorch",
"en",
"dataset:squad",
"arxiv:2203.07259",
"bert",
"oBERT",
"sparsity",
"pruning",
"compression"
] | null | false | neuralmagic | null | neuralmagic/oBERT-3-downstream-dense-squadv1 | 262 | null | null | 3,229 | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: squad
---
# oBERT-3-downstream-dense-squadv1
This model is obtained with [The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models](https://arxiv.org/abs/2203.07259).
It corresponds to the model pr... |
KES/TEC-English | 8e35c4b430e53e6a676442ad1f066cca046d9422 | 2022-07-29T01:53:19.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | KES | null | KES/TEC-English | 262 | null | transformers | 3,230 | ---
tags:
- translation
- text2text-generation
license: apache-2.0
---
# Trinidad English Creole to English Translator
This model utilises T5-base pre-trained model. It was fine tuned using a custom dataset for translation of Trinidad English Creole to English. This model will be updated periodically as more data... |
deep-learning-analytics/triviaqa-t5-base | 009d299127f766de755753d12a63aca9fadbb787 | 2020-09-30T18:50:48.000Z | [
"pytorch",
"t5",
"text2text-generation",
"eng",
"dataset:triviaqa",
"transformers",
"triviaqa",
"t5-base",
"lm-head",
"question-answering",
"closed-book",
"pipeline:question-answering",
"autotrain_compatible"
] | question-answering | false | deep-learning-analytics | null | deep-learning-analytics/triviaqa-t5-base | 261 | null | transformers | 3,231 | ---
language: "eng"
tags:
- triviaqa
- t5-base
- pytorch
- lm-head
- question-answering
- closed-book
- t5
- pipeline:question-answering
datasets:
- triviaqa
widget:
- text: ["Mount Everest is found in which mountain range?","None"]
metrics:
- EM: 17
- Subset match: 24.5
---
# Model name
Closed Book Trivia-QA T5 base... |
manishiitg/resume-ner | 8e4604e4ab8ff4f08629e4436e3b97f573cc1752 | 2020-07-21T11:52:03.000Z | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | manishiitg | null | manishiitg/resume-ner | 261 | null | transformers | 3,232 | Entry not found |
person123/DialoGPT-small-petergriffin | 7f2084a08a6ccf8062ee43be2df5b0645ce5d0b4 | 2021-08-28T04:43:38.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | person123 | null | person123/DialoGPT-small-petergriffin | 261 | null | transformers | 3,233 | ---
tags:
- conversational
---
# Peter Griffin DialoGPT Model |
sentence-transformers/facebook-dpr-question_encoder-multiset-base | b9b2a32fb410b3b231951784863b9acd50c74e57 | 2022-06-15T23:41:03.000Z | [
"pytorch",
"tf",
"bert",
"feature-extraction",
"sentence-transformers",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | sentence-similarity | false | sentence-transformers | null | sentence-transformers/facebook-dpr-question_encoder-multiset-base | 261 | null | sentence-transformers | 3,234 | ---
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# sentence-transformers/facebook-dpr-question_encoder-multiset-base
This is a port of the [DPR Model](https://github.com/facebookresearch/DPR) to [sentence-transformers... |
tprincessazula/Dialog-GPT-small-harrypotter | 8803bb557987871b0163bc1fc12cc373aaff0036 | 2021-11-16T20:45:25.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | tprincessazula | null | tprincessazula/Dialog-GPT-small-harrypotter | 261 | 1 | transformers | 3,235 | ---
tags:
- conversational
---
# Harry Potter Dialog-GPT Model |
alk/pegasus-scitldr | 8f0f25d9dd0cd2c088e98b31ed142598d961de56 | 2022-05-20T16:03:18.000Z | [
"pytorch",
"tensorboard",
"pegasus",
"text2text-generation",
"dataset:scitldr",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | alk | null | alk/pegasus-scitldr | 261 | null | transformers | 3,236 | ---
tags:
- generated_from_trainer
datasets:
- scitldr
model-index:
- name: pegasus-scitldr
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. -->
# pegasus-scitldr
Th... |
flooptherocket/DialogGPT-small-rick | 09b6e20b32a8691a6fd6f19da366effe2e57a232 | 2021-09-10T01:17:41.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | flooptherocket | null | flooptherocket/DialogGPT-small-rick | 260 | null | transformers | 3,237 | ---
tags: conversational
---
@Rick from Rick and Morty GPT-2 Conversation Model
---
|
openclimatefix/dgmr | 27e0fb0e7b8689c5f0b845fe943e2be97884b836 | 2022-06-20T08:04:07.000Z | [
"pytorch",
"transformers",
"nowcasting",
"forecasting",
"timeseries",
"remote-sensing",
"gan",
"license:mit"
] | null | false | openclimatefix | null | openclimatefix/dgmr | 260 | null | transformers | 3,238 | ---
license: mit
tags:
- nowcasting
- forecasting
- timeseries
- remote-sensing
- gan
---
# DGMR
## Model description
[More information needed]
## Intended uses & limitations
[More information needed]
## How to use
[More information needed]
## Limitations and bias
[More information needed]
## Training data
[... |
raj2002jain/DialoGPT-small-Light | 6b3204cd0e4a4768d27e38d6a63360d0dc47d66c | 2021-09-09T17:19:20.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | raj2002jain | null | raj2002jain/DialoGPT-small-Light | 260 | null | transformers | 3,239 | ---
tags:
- conversational
---
# Light Yagami DialoGPT Model |
worms3401/DialoGPT-small-Eleonora | 290d69bbdad095c41d0cddc12a6b274f7577bac7 | 2021-09-21T12:36:51.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | worms3401 | null | worms3401/DialoGPT-small-Eleonora | 260 | null | transformers | 3,240 | ---
tags:
- conversational
---
# Eleonora from worms3401 DialoGPT Model |
surdan/LaBSE_ner_nerel | 162232ae2fa4dc6e44b8ac5a57ac11a528a441a1 | 2022-04-12T13:17:34.000Z | [
"pytorch",
"bert",
"token-classification",
"ru",
"en",
"transformers",
"autotrain_compatible"
] | token-classification | false | surdan | null | surdan/LaBSE_ner_nerel | 260 | 2 | transformers | 3,241 | ---
language: ["ru", "en"]
tasks:
- token-classification
---
## About model
This model based on [cointegrated/LaBSE-en-ru](https://huggingface.co/cointegrated/LaBSE-en-ru).
And trained on [surdan/nerel_short](https://huggingface.co/datasets/surdan/nerel_short) dataset
You can find more info:
- How the model was tr... |
loubnabnl/apps-1.5B-model | e6775990f98181efde32f572be7f2d789284b337 | 2022-07-28T15:40:49.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | loubnabnl | null | loubnabnl/apps-1.5B-model | 260 | null | transformers | 3,242 | Entry not found |
big-kek/NeuroSkeptic | d1d9db8362b07d5e48c84517eef4686b82638c76 | 2022-07-15T20:46:09.000Z | [
"pytorch",
"opt",
"text-generation",
"transformers",
"generated_from_trainer",
"license:other",
"model-index"
] | text-generation | false | big-kek | null | big-kek/NeuroSkeptic | 260 | null | transformers | 3,243 | ---
license: other
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: opt-model
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. -->
# opt-model
... |
Doxophobia/DialoGPT-medium-celeste | 11a5ea05b7fc07639314779d9e6a63557e47c4bc | 2021-08-26T18:47:03.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | Doxophobia | null | Doxophobia/DialoGPT-medium-celeste | 259 | null | transformers | 3,244 | ---
tags:
- conversational
---
# Celestia Ludenburg DiabloGPT Model |
Martian/Neo-GPT-Title-Generation-Electric-Car | 358c5aab98e8058fd6aee12396142ebd1e8d970f | 2021-05-23T08:56:08.000Z | [
"pytorch",
"gpt_neo",
"text-generation",
"en",
"transformers"
] | text-generation | false | Martian | null | Martian/Neo-GPT-Title-Generation-Electric-Car | 259 | null | transformers | 3,245 | ---
language:
- en
widget:
- text: Tesla range
- text: Nissan Leaf is
- text: Tesla is
- text: The best electric car
---
# Neo-GPT-Title-Generation-Electric-Car
Title generator based on Neo-GPT 125M fine-tuned on a dataset of 39k url's title. All urls are selected on the TOP 10 google on a list of Keywords about "El... |
abbas/gpt2-horror-stories | 424e6a35d352c7d2ed1fe64d8f9a863e88224762 | 2021-05-21T11:50:54.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | abbas | null | abbas/gpt2-horror-stories | 259 | null | transformers | 3,246 | Entry not found |
rovai/CARRIE | 810b51a42a0c5f7a05e405574b09e4c363b4c975 | 2021-12-01T18:10:32.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | rovai | null | rovai/CARRIE | 259 | null | transformers | 3,247 | ---
tags:
- conversational
---
# CARRIE |
Helsinki-NLP/opus-tatoeba-en-ja | f5aa4b0090e1eb2b4424e182a9ee36c358078ca5 | 2021-10-12T08:16:21.000Z | [
"pytorch",
"marian",
"text2text-generation",
"en",
"ja",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-tatoeba-en-ja | 258 | null | transformers | 3,248 | ---
language:
- en
- ja
tags:
- translation
license: apache-2.0
---
### en-ja
* source group: English
* target group: Japanese
* OPUS readme: [eng-jpn](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-jpn/README.md)
* model: transformer-align
* source language(s): eng
* target language(s... |
asahi417/lmqg-t5-small-squad-multitask | 96634990bd689cefbb71ef9855d61ebfd57de8c5 | 2022-06-01T11:13:08.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:asahi417/qg_squad",
"transformers",
"question generation",
"question answer generation",
"license:cc-by-4.0",
"autotrain_compatible"
] | text2text-generation | false | asahi417 | null | asahi417/lmqg-t5-small-squad-multitask | 258 | null | transformers | 3,249 | ---
language: en
tags:
- question generation
- question answer generation
license: cc-by-4.0
datasets:
- asahi417/qg_squad
metrics:
- bleu
- meteor
- rouge
- bertscore
- moverscore
widget:
- text: "generate question: <hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 m... |
muhardianab/DialoGPT-small-theoffice | 2a7c25a508ea6d4a4d939d3930f05c4a38b572c0 | 2021-09-12T16:52:42.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | muhardianab | null | muhardianab/DialoGPT-small-theoffice | 258 | null | transformers | 3,250 | ---
tags:
- conversational
---
# The Office - Pam DialoGPT Model |
pashin/DialoGPT-small-ironman-2 | 025ed7fc7fa106a4f8c0bc9d2d8a7e6596b01ba5 | 2021-10-08T16:51:29.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | pashin | null | pashin/DialoGPT-small-ironman-2 | 258 | null | transformers | 3,251 | ---
tags:
- conversational
---
# iron man 2 |
ppn/DialoGPT-small-harrypotter | d991e690a0d14c3d224aee2b8c6e26da555a0557 | 2021-12-20T14:22:07.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | ppn | null | ppn/DialoGPT-small-harrypotter | 258 | null | transformers | 3,252 | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model |
Helsinki-NLP/opus-mt-de-cs | 683666e07ca027d76af9ac23c0902b29084a0d18 | 2021-09-09T21:30:29.000Z | [
"pytorch",
"marian",
"text2text-generation",
"de",
"cs",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-de-cs | 257 | null | transformers | 3,253 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-de-cs
* source languages: de
* target languages: cs
* OPUS readme: [de-cs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-cs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
google/roberta2roberta_L-24_wikisplit | 329a94ffa643bd55266023b0c5648a9222de68a0 | 2020-12-11T21:43:19.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"en",
"arxiv:1907.12461",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/roberta2roberta_L-24_wikisplit | 257 | null | transformers | 3,254 | ---
language: en
license: apache-2.0
---
# Roberta2Roberta_L-24_wikisplit EncoderDecoder model
The model was introduced in
[this paper](https://arxiv.org/abs/1907.12461) by Sascha Rothe, Shashi Narayan, Aliaksei Severyn and first released in [this repository](https://tfhub.dev/google/bertseq2seq/roberta24_cnndm/1). ... |
lonewanderer27/YoshinoriBot | aa72a893482c8967613a6c02d6783bc75d4e947a | 2022-02-08T15:50:38.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | lonewanderer27 | null | lonewanderer27/YoshinoriBot | 257 | null | transformers | 3,255 | ---
tags:
- conversational
---
# Camp Buddy - Yoshinori - DialoGPTSmall Model |
mluengas/DialogGPT-small-michaelscott | 04f1acf44125603c3b4fab84b1db98da627fdd6a | 2021-08-29T00:02:25.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | mluengas | null | mluengas/DialogGPT-small-michaelscott | 257 | null | transformers | 3,256 | ---
tags:
- conversational
---
# Michael Scott DialoGPT model |
monologg/koelectra-small-finetuned-naver-ner | 2d5cad7fcba17a6e8426939684aef04904acbbd6 | 2020-05-13T03:53:39.000Z | [
"pytorch",
"electra",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | monologg | null | monologg/koelectra-small-finetuned-naver-ner | 257 | null | transformers | 3,257 | Entry not found |
neuralspace-reverie/indic-transformers-hi-bert | edf588344b36ff58bef70cbddf5ed4208e122ccc | 2021-05-20T01:35:03.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"hi",
"transformers",
"MaskedLM",
"Hindi",
"BERT",
"Question-Answering",
"Token Classification",
"Text Classification",
"autotrain_compatible"
] | fill-mask | false | neuralspace-reverie | null | neuralspace-reverie/indic-transformers-hi-bert | 257 | 1 | transformers | 3,258 | ---
language:
- hi
tags:
- MaskedLM
- Hindi
- BERT
- Question-Answering
- Token Classification
- Text Classification
---
# Indic-Transformers Hindi BERT
## Model description
This is a BERT language model pre-trained on ~3 GB of monolingual training corpus. The pre-training data was majorly taken from [OSCAR](https://... |
redbloodyknife/DialoGPT-medium-shayo | ac021b9165241406df7afd2960eebf9c5961a4e1 | 2021-12-23T12:17:05.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | redbloodyknife | null | redbloodyknife/DialoGPT-medium-shayo | 257 | null | transformers | 3,259 | ---
tags:
- conversational
---
#Shayo Bot by Shogun
#Ai Chatbot Testing based on GPT2 and DialoGPT-Medium by Microsoft
#shoguπ#9999 |
rovai/chatbotmedium2 | 605407014890c1123a4934a3511d14986a6cfd8e | 2021-12-01T15:36:17.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | rovai | null | rovai/chatbotmedium2 | 257 | null | transformers | 3,260 | ---
tags:
- conversational
---
# chatbot2 |
bhadresh-savani/electra-base-discriminator-finetuned-conll03-english | 7ec8067a8a665f156fc4f97859d169842a820209 | 2022-04-08T17:21:19.000Z | [
"pytorch",
"tf",
"jax",
"electra",
"token-classification",
"en",
"dataset:conll2003",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | false | bhadresh-savani | null | bhadresh-savani/electra-base-discriminator-finetuned-conll03-english | 257 | null | transformers | 3,261 | ---
language:
- en
tags:
- token-classification
- pytorch
license: apache-2.0
datasets:
- conll2003
metrics:
- Accuracy, F1 Score, Precision, Recall
---
# Electra Base Discriminator conll03 English
# Results:
```
***** predict metrics *****
predict_accuracy = 0.9813
predict_f1 = ... |
MingZhong/DialogLED-base-16384 | a7eb2295b05a9127a906f930e9c215f4fa38a1db | 2022-01-05T09:15:06.000Z | [
"pytorch",
"led",
"text2text-generation",
"arxiv:2109.02492",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | MingZhong | null | MingZhong/DialogLED-base-16384 | 256 | 2 | transformers | 3,262 | [DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization](https://arxiv.org/abs/2109.02492).
## Introduction
DialogLED is a pre-trained model for long dialogue understanding and summarization. It builds on the Longformer-Encoder-Decoder (LED) architecture and uses window-based denoising as the pr... |
castorini/mdpr-tied-pft-msmarco | 2319a582b387c09a3b6b094a220c4dcb6b0c6617 | 2021-12-11T19:24:36.000Z | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | castorini | null | castorini/mdpr-tied-pft-msmarco | 256 | null | transformers | 3,263 | Entry not found |
m3hrdadfi/wav2vec2-large-xlsr-persian-v2 | 599d7361d87b6ea3ca5d64a993e8ad8c942c48eb | 2021-07-06T10:55:39.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"fa",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | m3hrdadfi | null | m3hrdadfi/wav2vec2-large-xlsr-persian-v2 | 256 | null | transformers | 3,264 | ---
language: fa
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
widget:
- label: Common Voice sample 4024
src: https://huggingface.co/m3hrdadfi/wav2vec2-large-xlsr-persian-v2/resolve/main/sample4024.flac
- label: Common Voice sample 4084
sr... |
Parth/boolean | 2807b08ae50bce9b69c426b756201f47709bdfd2 | 2021-06-23T03:46:27.000Z | [
"pytorch",
"jax",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | Parth | null | Parth/boolean | 255 | null | transformers | 3,265 | Entry not found |
asahi417/lmqg-t5-base-squad-multitask | 98fbcec0dcc5af5b8eb2e7fd8d88ec98a48c24c7 | 2022-06-01T11:13:52.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:asahi417/qg_squad",
"transformers",
"question generation",
"question answer generation",
"license:cc-by-4.0",
"autotrain_compatible"
] | text2text-generation | false | asahi417 | null | asahi417/lmqg-t5-base-squad-multitask | 255 | null | transformers | 3,266 | ---
language: en
tags:
- question generation
- question answer generation
license: cc-by-4.0
datasets:
- asahi417/qg_squad
metrics:
- bleu
- meteor
- rouge
- bertscore
- moverscore
widget:
- text: "generate question: <hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 m... |
coderpotter/T5-for-Adversarial-Paraphrasing | 40c7cac5f28a61cde83edce14f66ca4faedf4a80 | 2021-07-27T17:12:19.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | coderpotter | null | coderpotter/T5-for-Adversarial-Paraphrasing | 255 | 3 | transformers | 3,267 | This model is a paraphraser designed for the Adversarial Paraphrasing Task described and used in this paper: https://aclanthology.org/2021.acl-long.552/.
Please refer to `nap_generation.py` on the github repository for ways to better utilize this model using concepts of top-k sampling and top-p sampling. The demo on hu... |
funnel-transformer/medium | 1d0927808deebdda31e56ddf4d1cfb6d665fda33 | 2020-12-11T21:40:38.000Z | [
"pytorch",
"tf",
"funnel",
"feature-extraction",
"en",
"dataset:bookcorpus",
"dataset:wikipedia",
"dataset:gigaword",
"arxiv:2006.03236",
"transformers",
"license:apache-2.0"
] | feature-extraction | false | funnel-transformer | null | funnel-transformer/medium | 255 | null | transformers | 3,268 | ---
language: en
license: apache-2.0
datasets:
- bookcorpus
- wikipedia
- gigaword
---
# Funnel Transformer medium model (B6-3x2-3x2 with decoder)
Pretrained model on English language using a similar objective objective as [ELECTRA](https://huggingface.co/transformers/model_doc/electra.html). It was introduced in
[th... |
katanaml/layoutlmv2-finetuned-cord | 0a6e15510dd0b0af0ab2d443d93e08e67bbc20f4 | 2022-03-13T22:01:58.000Z | [
"pytorch",
"tensorboard",
"layoutlmv2",
"token-classification",
"dataset:katanaml/cord",
"transformers",
"generated_from_trainer",
"license:cc-by-nc-sa-4.0",
"model-index",
"autotrain_compatible"
] | token-classification | false | katanaml | null | katanaml/layoutlmv2-finetuned-cord | 255 | 1 | transformers | 3,269 | ---
license: cc-by-nc-sa-4.0
datasets:
- katanaml/cord
tags:
- generated_from_trainer
model-index:
- name: layoutlmv2-finetuned-cord
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... |
IDEA-CCNL/Randeng-BART-139M-SUMMARY | abd454ff5b874b107a3e2640a9b42afda0384335 | 2022-04-27T02:37:52.000Z | [
"pytorch",
"bart",
"text2text-generation",
"zh",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | IDEA-CCNL | null | IDEA-CCNL/Randeng-BART-139M-SUMMARY | 255 | 2 | transformers | 3,270 | ---
language:
- zh
license: apache-2.0
inference: true
widget:
- text: 'summary: 在北京冬奥会自由式滑雪女子坡面障碍技巧决赛中，中国选手谷爱凌夺得银牌。祝贺谷爱凌！今天上午，自由式滑雪女子坡面障碍技巧决赛举行。决赛分三轮进行，取选手最佳成绩排名决出奖牌。第一跳，中国选手谷爱凌获得69.90分。在12位选手中排名第三。完成动作后，谷爱凌又扮了个鬼脸，甚是可爱。第二轮中，谷爱凌在道具区第三个障碍处失误，落地时摔倒。获得16.98分。网友：摔倒了也没关系，继续加油！在第二跳失误摔倒的情况下，谷爱凌顶住压力，第三跳稳稳发挥，流畅落地！获得86.23分！... |
agne/jobBERT-de | e6dea171601304865a85e7cdc1f4d23bd2ed8cec | 2022-06-03T13:53:31.000Z | [
"pytorch",
"bert",
"fill-mask",
"de",
"transformers",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible"
] | fill-mask | false | agne | null | agne/jobBERT-de | 255 | null | transformers | 3,271 | ---
language: de
license: cc-by-nc-sa-4.0
---
## jobBERT-de
This is a domain-adapted transformer-based language model for German-speaking job advertisements.
Is is based on [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) and adapted to the domain of job advertisements trough continued in-do... |
pszemraj/grammar-synthesis-large | 6daffc7582df68c3ca96e882c7191be2051c84aa | 2022-07-22T08:37:07.000Z | [
"pytorch",
"t5",
"text2text-generation",
"dataset:jfleg",
"arxiv:2107.06751",
"transformers",
"grammar",
"spelling",
"punctuation",
"error-correction",
"grammar synthesis",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible"
] | text2text-generation | false | pszemraj | null | pszemraj/grammar-synthesis-large | 255 | 1 | transformers | 3,272 | ---
license: cc-by-nc-sa-4.0
tags:
- grammar
- spelling
- punctuation
- error-correction
- grammar synthesis
datasets:
- jfleg
widget:
- text: "i can has cheezburger"
example_title: "cheezburger"
- text: "There car broke down so their hitching a ride to they're class."
example_title: "compound-1"
- text: "so em if... |
avinashshrangee/DialoGPT-small-Ricky | a0480eb06a21d5615956464cf233148a2749db8f | 2022-02-17T09:14:03.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | avinashshrangee | null | avinashshrangee/DialoGPT-small-Ricky | 254 | null | transformers | 3,273 | ---
tags:
- conversational
---
# rickbot Dialo-GPT |
dbmdz/t5-base-conll03-english | 60f2a42bb3259103b324383c11f694520d07129c | 2022-01-12T18:41:11.000Z | [
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:conll2003",
"transformers",
"license:mit",
"autotrain_compatible"
] | text2text-generation | false | dbmdz | null | dbmdz/t5-base-conll03-english | 254 | 1 | transformers | 3,274 | ---
language: en
license: mit
datasets:
- conll2003
widget:
- text: My name is Clara Clever and I live in Berkeley , California .
---
# T5 Base Model for Named Entity Recognition (NER, CoNLL-2003)
In this repository, we open source a T5 Base model, that was fine-tuned on the official CoNLL-2003 NER dataset.
We use t... |
milayue/neosh-bot1 | 38bce478b4f6379191b8f6480e03d6c41755ccd6 | 2021-08-31T10:43:59.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | milayue | null | milayue/neosh-bot1 | 254 | 1 | transformers | 3,275 | ---
tags:
- conversational
---
# Neosh Bot1
This is a simplified version. Hopefully will train a more complex model in the future. |
st1992/bert-restore-punctuation | 0ddfc9ac0e6ecb7c72cbd2e3f18d69675de2d125 | 2021-11-20T08:14:39.000Z | [
"pytorch",
"bert",
"token-classification",
"en",
"dataset:yelp_polarity",
"transformers",
"punctuation",
"license:mit",
"autotrain_compatible"
] | token-classification | false | st1992 | null | st1992/bert-restore-punctuation | 254 | null | transformers | 3,276 | ---
language:
- en
tags:
- punctuation
license: mit
datasets:
- yelp_polarity
metrics:
- f1
---
# ✨ bert-restore-punctuation
[]()
This a bert-base-uncased model finetuned for punctuation restoration on [Yelp Reviews](https://www.tensorflow.org/datase... |
microsoft/tapex-base-finetuned-wikisql | a78c90b03c8470f275de848c31f62f03e8807285 | 2022-07-14T10:11:17.000Z | [
"pytorch",
"bart",
"text2text-generation",
"en",
"dataset:wikisql",
"arxiv:2107.07653",
"transformers",
"tapex",
"table-question-answering",
"license:mit",
"autotrain_compatible"
] | table-question-answering | false | microsoft | null | microsoft/tapex-base-finetuned-wikisql | 254 | null | transformers | 3,277 | ---
language: en
tags:
- tapex
- table-question-answering
datasets:
- wikisql
license: mit
---
# TAPEX (base-sized model)
TAPEX was proposed in [TAPEX: Table Pre-training via Learning a Neural SQL Executor](https://arxiv.org/abs/2107.07653) by Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jia... |
hfl/chinese-electra-180g-small-ex-generator | 2bd4389440cea45aaca2dfc1df08a96d04df7090 | 2021-03-03T01:25:06.000Z | [
"pytorch",
"tf",
"electra",
"zh",
"arxiv:2004.13922",
"transformers",
"license:apache-2.0",
"fill-mask"
] | fill-mask | false | hfl | null | hfl/chinese-electra-180g-small-ex-generator | 253 | 1 | transformers | 3,278 | ---
language:
- zh
license: "apache-2.0"
pipeline_tag: "fill-mask"
---
# This model is trained on 180G data, we recommend using this one than the original version.
## Chinese ELECTRA
Google and Stanford University released a new pre-trained model called ELECTRA, which has a much compact model size and relatively com... |
mrm8488/mbart-large-finetuned-opus-es-en-translation | f020357bbf6d6ace40fb1cd5cb793fd77f00d243 | 2021-01-23T07:54:59.000Z | [
"pytorch",
"mbart",
"text2text-generation",
"es",
"en",
"dataset:opus100",
"transformers",
"translation",
"autotrain_compatible"
] | translation | false | mrm8488 | null | mrm8488/mbart-large-finetuned-opus-es-en-translation | 253 | 1 | transformers | 3,279 | ---
tags:
- translation
language:
- es
- en
datasets:
- opus100
---
### mbart-large-es-en
This is mbart-large-cc25, finetuned on opus100 for Spanish to English translation.
It scores BLEU **28.25** on validation dataset
It scores BLEU **28.28** on test
dataset |
sagorsarker/codeswitch-spaeng-sentiment-analysis-lince | 99158c9fa3690ed9d011c3853cbb78f2b4dc96ec | 2021-05-19T01:22:56.000Z | [
"pytorch",
"jax",
"bert",
"text-classification",
"es",
"en",
"dataset:lince",
"transformers",
"codeswitching",
"spanish-english",
"sentiment-analysis",
"license:mit"
] | text-classification | false | sagorsarker | null | sagorsarker/codeswitch-spaeng-sentiment-analysis-lince | 253 | null | transformers | 3,280 | ---
language:
- es
- en
datasets:
- lince
license: mit
tags:
- codeswitching
- spanish-english
- sentiment-analysis
---
# codeswitch-spaeng-sentiment-analysis-lince
This is a pretrained model for **Sentiment Analysis** of `spanish-english` code-mixed data used from [LinCE](https://ritual.uh.edu/lince/home)
This model... |
toyfreak/DialoGPT-small-shy | 13b531022e2cc37e471e65e02c28fcf793ca9825 | 2022-01-14T06:44:53.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | toyfreak | null | toyfreak/DialoGPT-small-shy | 253 | null | transformers | 3,281 | ---
tags:
- conversational
---
# Shy DialoGPT Model |
victordata/DialoGPT-small-Rick | c7b0c62ec6092bcd8a7221c5e7a8b6cb63c2455c | 2021-08-26T19:40:32.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | victordata | null | victordata/DialoGPT-small-Rick | 253 | null | transformers | 3,282 | ---
tags:
- conversational
---
# Rick DialoGPT Model |
google/t5-efficient-tiny | 684deb5ddf96e093cd76910420e79e7b9af1928f | 2022-02-15T10:49:40.000Z | [
"pytorch",
"tf",
"jax",
"t5",
"text2text-generation",
"en",
"dataset:c4",
"arxiv:2109.10686",
"transformers",
"deep-narrow",
"license:apache-2.0",
"autotrain_compatible"
] | text2text-generation | false | google | null | google/t5-efficient-tiny | 252 | 2 | transformers | 3,283 | ---
language:
- en
datasets:
- c4
tags:
- deep-narrow
inference: false
license: apache-2.0
---
# T5-Efficient-TINY (Deep-Narrow version)
T5-Efficient-TINY is a variation of [Google's original T5](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html) following the [T5 model architecture](https:/... |
hiiamsid/sentence_similarity_hindi | 498c752284c8deb5137b1096d5eeccf7520166aa | 2022-01-03T11:25:33.000Z | [
"pytorch",
"bert",
"feature-extraction",
"hi",
"sentence-transformers",
"sentence-similarity",
"transformers"
] | sentence-similarity | false | hiiamsid | null | hiiamsid/sentence_similarity_hindi | 252 | 2 | sentence-transformers | 3,284 | ---
pipeline_tag: sentence-similarity
language:
- hi
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# hiiamsid/sentence_similarity_hindi
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space a... |
ynie/roberta-large_conv_contradiction_detector_v0 | 8443d7379d0d258152c8ef3dd7837a261edf45ce | 2021-05-20T23:20:34.000Z | [
"pytorch",
"jax",
"roberta",
"text-classification",
"transformers"
] | text-classification | false | ynie | null | ynie/roberta-large_conv_contradiction_detector_v0 | 252 | null | transformers | 3,285 | Entry not found |
LeBenchmark/wav2vec2-FR-3K-base | ad47d8dd642652eb60e44f4c9ced14fec1491ed2 | 2021-11-30T04:22:46.000Z | [
"pytorch",
"wav2vec2",
"feature-extraction",
"fr",
"transformers",
"license:apache-2.0"
] | feature-extraction | false | LeBenchmark | null | LeBenchmark/wav2vec2-FR-3K-base | 251 | null | transformers | 3,286 | ---
language: "fr"
thumbnail:
tags:
- wav2vec2
license: "apache-2.0"
---
# LeBenchmark: wav2vec2 base model trained on 3K hours of French speech
LeBenchmark provides an ensemble of pretrained wav2vec2 models on different French datasets containing spontaneous, read, and broadcasted speech. For more information on... |
algoprog/mimics-query-bart-base | 5e4498da17bb6097e188d6170e4b9f2147feb746 | 2022-02-24T01:27:32.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | algoprog | null | algoprog/mimics-query-bart-base | 251 | null | transformers | 3,287 | Entry not found |
emrecan/bert-base-turkish-cased-mean-nli-stsb-tr | c4d66371214a20c0c91a39c83351ddc24f398800 | 2022-01-24T23:55:40.000Z | [
"pytorch",
"bert",
"feature-extraction",
"tr",
"dataset:nli_tr",
"dataset:emrecan/stsb-mt-turkish",
"sentence-transformers",
"sentence-similarity",
"transformers",
"license:apache-2.0"
] | sentence-similarity | false | emrecan | null | emrecan/bert-base-turkish-cased-mean-nli-stsb-tr | 251 | 2 | sentence-transformers | 3,288 | ---
language:
- tr
pipeline_tag: sentence-similarity
license: apache-2.0
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
datasets:
- nli_tr
- emrecan/stsb-mt-turkish
widget:
source_sentence: "Bu çok mutlu bir kişi"
sentences:
- "Bu mutlu bir köpek"
- "Bu sevincinden h... |
facebook/xglm-2.9B | 52f590a6a4a9125d105be2cfadfa15cbbf737ee1 | 2022-02-15T01:31:43.000Z | [
"pytorch",
"xglm",
"text-generation",
"arxiv:2112.10668",
"transformers",
"license:mit"
] | text-generation | false | facebook | null | facebook/xglm-2.9B | 251 | null | transformers | 3,289 | ---
license: mit
thumbnail: https://huggingface.co/front/thumbnails/facebook.png
inference: false
---
# XGLM-2.9B
XGLM-2.9B is a multilingual autoregressive language model (with 2.9 billion parameters) trained on a balanced corpus of a diverse set of languages totaling 500 billion sub-tokens. It was introduced in the... |
maniacGhost24/MichaelScott-bot-push-small | 947e0eb899f24c4dc7ae9f68ce62b30d028422ab | 2021-09-24T06:43:37.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | maniacGhost24 | null | maniacGhost24/MichaelScott-bot-push-small | 251 | null | transformers | 3,290 | ---
tags:
- conversational
---
# Michael Scott DialoGPT Bot. |
Helsinki-NLP/opus-mt-mg-en | 824e38004efa8f17daf23192d52142d45d68ba68 | 2021-09-10T13:57:36.000Z | [
"pytorch",
"marian",
"text2text-generation",
"mg",
"en",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | false | Helsinki-NLP | null | Helsinki-NLP/opus-mt-mg-en | 250 | null | transformers | 3,291 | ---
tags:
- translation
license: apache-2.0
---
### opus-mt-mg-en
* source languages: mg
* target languages: en
* OPUS readme: [mg-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/mg-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* downl... |
PereLluis13/wav2vec2-xls-r-1b-ca-lm | 72fa8b534c71c2c58c36580ca7160e0993fd3867 | 2022-03-29T08:41:46.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"ca",
"dataset:mozilla-foundation/common_voice_8_0",
"dataset:collectivat/tv3_parla",
"dataset:projecte-aina/parlament_parla",
"transformers",
"collectivat/tv3_parla",
"generated_from_trainer",
"hf-asr-leaderboard",
"mozil... | automatic-speech-recognition | false | PereLluis13 | null | PereLluis13/wav2vec2-xls-r-1b-ca-lm | 250 | 1 | transformers | 3,292 | ---
language:
- ca
license: apache-2.0
tags:
- automatic-speech-recognition
- collectivat/tv3_parla
- generated_from_trainer
- hf-asr-leaderboard
- mozilla-foundation/common_voice_8_0
- projecte-aina/parlament_parla
- robust-speech-event
datasets:
- mozilla-foundation/common_voice_8_0
- collectivat/tv3_parla
- projecte... |
classla/wav2vec2-xls-r-parlaspeech-hr | 057825f8249b864ae09809d6e194cdae72673172 | 2022-05-18T14:18:53.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"hr",
"dataset:parlaspeech-hr",
"transformers",
"audio",
"parlaspeech"
] | automatic-speech-recognition | false | classla | null | classla/wav2vec2-xls-r-parlaspeech-hr | 250 | null | transformers | 3,293 | ---
language: hr
datasets:
- parlaspeech-hr
tags:
- audio
- automatic-speech-recognition
- parlaspeech
widget:
- example_title: example 1
src: https://huggingface.co/classla/wav2vec2-xls-r-parlaspeech-hr/raw/main/1800.m4a
- example_title: example 2
src: https://huggingface.co/classla/wav2vec2-xls-r-parlaspeech-hr/r... |
jakelever/coronabert | 69beda2cdffab84c80b1685f83b58432baf4fa78 | 2021-05-19T20:34:36.000Z | [
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"en",
"dataset:cord19",
"dataset:pubmed",
"transformers",
"coronavirus",
"covid",
"bionlp",
"license:mit"
] | text-classification | false | jakelever | null | jakelever/coronabert | 250 | 3 | transformers | 3,294 | ---
language: en
thumbnail: https://coronacentral.ai/logo-with-name.png?1
tags:
- coronavirus
- covid
- bionlp
datasets:
- cord19
- pubmed
license: mit
widget:
- text: "Pre-existing T-cell immunity to SARS-CoV-2 in unexposed healthy controls in Ecuador, as detected with a COVID-19 Interferon-Gamma Release Assay."
- tex... |
mrm8488/GPT-2-finetuned-CORD19 | e01e2b09c682d90866ec8a5bb26c838499359fd5 | 2021-05-23T10:09:38.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"en",
"transformers"
] | text-generation | false | mrm8488 | null | mrm8488/GPT-2-finetuned-CORD19 | 250 | null | transformers | 3,295 | ---
language: en
thumbnail:
---
# GPT-2 + CORD19 dataset : 🦠 ✍ ⚕
**GPT-2** fine-tuned on **biorxiv_medrxiv**, **comm_use_subset** and **custom_license** files from [CORD-19](https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge) dataset.
## Datasets details
| Dataset | # Files |
... |
nielsr/coref-bert-base | 2f09793bdaf95ffee5a8f893b75377a6f429da61 | 2021-01-21T10:06:00.000Z | [
"pytorch",
"en",
"dataset:wikipedia",
"dataset:quoref",
"dataset:docred",
"dataset:fever",
"dataset:gap",
"dataset:winograd_wsc",
"dataset:winogender",
"dataset:glue",
"arxiv:2004.06870",
"transformers",
"exbert",
"license:apache-2.0"
] | null | false | nielsr | null | nielsr/coref-bert-base | 250 | 0 | transformers | 3,296 | ---
language: en
tags:
- exbert
license: apache-2.0
datasets:
- wikipedia
- quoref
- docred
- fever
- gap
- winograd_wsc
- winogender
- glue
---
# CorefBERTa base model
Pretrained model on English language using Masked Language Modeling (MLM) and Mention Reference Prediction (MRP) objectives. It was introduced in
[t... |
nitishk/IronStarkBot | d2465aacf90090048ec978fe570e379a29e86033 | 2021-09-02T03:23:17.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | nitishk | null | nitishk/IronStarkBot | 250 | null | transformers | 3,297 | ---
tags:
- conversational
---
# IronStarkBot
|
asahi417/lmqg-mt5-small-jaquad-multitask | 19ddc66e17c5aaf42d28a543383f63dab3e29a47 | 2022-06-09T10:55:07.000Z | [
"pytorch",
"mt5",
"text2text-generation",
"ja",
"dataset:asahi417/qg_jaquad",
"transformers",
"question generation",
"question answer generation",
"license:cc-by-4.0",
"autotrain_compatible"
] | text2text-generation | false | asahi417 | null | asahi417/lmqg-mt5-small-jaquad-multitask | 250 | null | transformers | 3,298 | ---
language: ja
tags:
- question generation
- question answer generation
license: cc-by-4.0
datasets:
- asahi417/qg_jaquad
metrics:
- bleu
- meteor
- rouge
- bertscore
widget:
- text: "generate question: ゾフィーは貴族出身ではあったが王族出身ではなく、ハプスブルク家の皇位継承者であるフランツ・フェルディナントとの結婚は貴賤結婚となった。皇帝フランツ・ヨーゼフは、2人の間に生まれた子孫が皇位を継がないことを条件として結婚を承認してい... |
adamlin/ConvBERT | 38db046b5c5c6612f3be2db51218a612e3fb1d1b | 2022-06-20T20:48:29.000Z | [
"pytorch",
"bert",
"pretraining",
"transformers"
] | null | false | adamlin | null | adamlin/ConvBERT | 250 | null | transformers | 3,299 | Entry not found |
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