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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
madlag/bert-base-uncased-squadv1-x1.84-f88.7-d36-hybrid-filled-v1 | a7bdf0f3df58f995c84155ef23bcc0424e8a9070 | 2021-08-31T09:31:46.000Z | [
"pytorch",
"tf",
"bert",
"question-answering",
"en",
"dataset:squad",
"transformers",
"license:mit",
"autotrain_compatible"
] | question-answering | false | madlag | null | madlag/bert-base-uncased-squadv1-x1.84-f88.7-d36-hybrid-filled-v1 | 1 | null | transformers | 29,900 | ---
language: en
thumbnail:
license: mit
tags:
- question-answering
-
-
datasets:
- squad
metrics:
- squad
widget:
- text: "Where is the Eiffel Tower located?"
context: "The Eiffel Tower is a wrought-iron lattice tower on the Champ de Mars in Paris, France. It is named after the engineer Gustave Eiffel, whose compa... |
madlag/bert-base-uncased-squadv1-x2.32-f86.6-d15-hybrid-v1 | ea7c4ce8e9bee6d81ab3ff57e6b601fca6a6ad70 | 2021-06-16T15:06:30.000Z | [
"pytorch",
"tf",
"bert",
"question-answering",
"en",
"dataset:squad",
"transformers",
"license:mit",
"autotrain_compatible"
] | question-answering | false | madlag | null | madlag/bert-base-uncased-squadv1-x2.32-f86.6-d15-hybrid-v1 | 1 | null | transformers | 29,901 | ---
language: en
thumbnail:
license: mit
tags:
- question-answering
-
-
datasets:
- squad
metrics:
- squad
widget:
- text: "Where is the Eiffel Tower located?"
context: "The Eiffel Tower is a wrought-iron lattice tower on the Champ de Mars in Paris, France. It is named after the engineer Gustave Eiffel, whose compa... |
mahaamami/distilroberta-base-model | 24cfc2f7873332cbb396094beb16f4c79a870346 | 2022-01-13T12:02:01.000Z | [
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | fill-mask | false | mahaamami | null | mahaamami/distilroberta-base-model | 1 | null | transformers | 29,902 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-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. -->
# distilrobe... |
malteos/aspect-cord19-scibert-scivocab-uncased | 51449beb94d9b40e2add76d96bc3753fdda80cec | 2021-11-22T10:13:31.000Z | [
"pytorch",
"bert",
"sci",
"en",
"dataset:cord19",
"arxiv:2010.06395",
"transformers",
"classification",
"similarity",
"license:mit"
] | null | false | malteos | null | malteos/aspect-cord19-scibert-scivocab-uncased | 1 | null | transformers | 29,903 | ---
language:
- sci
- en
tags:
- classification
- similarity
license: mit
datasets:
- cord19
---
# Aspect-based Document Similarity for Research Papers
A `scibert-scivocab-uncased` model fine-tuned on the CORD-19 corpus as in [Aspect-based Document Similarity for Research Papers](https://arxiv.org/abs/2010.06395).
<... |
mamlong34/t5_small_cosmos_qa | f63a77a691ea101f176ba840ef3e3059943392be | 2021-10-10T15:37:59.000Z | [
"pytorch",
"t5",
"text2text-generation",
"dataset:cosmos_qa",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | mamlong34 | null | mamlong34/t5_small_cosmos_qa | 1 | null | transformers | 29,904 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cosmos_qa
metrics:
- accuracy
model-index:
- name: t5_small_cosmos_qa
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 re... |
manandey/wav2vec2-large-xlsr-estonian | 9aae51827ae33c56f1c4d9b35f14f2eb35dc8f2d | 2021-07-06T11:32:55.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"et",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | manandey | null | manandey/wav2vec2-large-xlsr-estonian | 1 | null | transformers | 29,905 | ---
language: et
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Estonian by Manan Dey
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: Comm... |
manifoldix/xlsr-fa-lm | 1da4c8b76ad654dbc0493b7ae133e5994522778c | 2022-03-23T18:28:30.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"fa",
"dataset:common_voice",
"transformers",
"hf-asr-leaderboard",
"robust-speech-event",
"model-index"
] | automatic-speech-recognition | false | manifoldix | null | manifoldix/xlsr-fa-lm | 1 | 1 | transformers | 29,906 | ---
language: fa
datasets:
- common_voice
tags:
- hf-asr-leaderboard
- robust-speech-event
widget:
- example_title: Common Voice sample 2978
src: https://huggingface.co/manifoldix/xlsr-fa-lm/resolve/main/sample2978.flac
- example_title: Common Voice sample 5168
src: https://huggingface.co/manifoldix/xlsr-fa-lm/reso... |
manifoldix/xlsr-sg-lm | d1fc6dc44545b0ba88e963a7f12d46a94276ca08 | 2022-03-23T18:34:59.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"gsw",
"transformers",
"hf-asr-leaderboard",
"robust-speech-event",
"model-index"
] | automatic-speech-recognition | false | manifoldix | null | manifoldix/xlsr-sg-lm | 1 | null | transformers | 29,907 | ---
language: gsw
tags:
- hf-asr-leaderboard
- robust-speech-event
widget:
- example_title: swiss parliament sample 1
src: https://huggingface.co/manifoldix/xlsr-sg-lm/resolve/main/07e73bcaa2ab192aea9524d72db45f34f274d1b3d5672434c462d32d44d792be.mp3
- example_title: swiss parliament sample 2
src: https://huggingfac... |
manishiitg/distilbert-squad-256seq-8batch-test | b134d2e168bf0d87caf5735c8440be24832fe4d4 | 2020-06-13T15:50:48.000Z | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | manishiitg | null | manishiitg/distilbert-squad-256seq-8batch-test | 1 | null | transformers | 29,908 | Entry not found |
maple/roberta-large | 4567ad341e98fd0df7dbf2f984d0904428ecff27 | 2022-01-04T11:19:54.000Z | [
"pytorch",
"roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | maple | null | maple/roberta-large | 1 | null | transformers | 29,909 | Entry not found |
marcel/wav2vec2-large-xlsr-53-german | 35c78cceaf30c0065cdd36a3bcb39605fd213f47 | 2021-07-06T11:55:02.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"de",
"dataset:common_voice",
"dataset:wer",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | marcel | null | marcel/wav2vec2-large-xlsr-53-german | 1 | null | transformers | 29,910 | ---
language: de
datasets:
- common_voice
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Large 53
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voic... |
marcel/wav2vec2-large-xlsr-german-demo | 642e446c09b53952bc79e5b9b1e2841d9ae16913 | 2021-07-06T12:09:00.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"de",
"dataset:common_voice",
"dataset:wer",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | marcel | null | marcel/wav2vec2-large-xlsr-german-demo | 1 | null | transformers | 29,911 | ---
language: de
datasets:
- common_voice
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Large 53
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voic... |
marcosgg/bert-small-gl-cased | 3237483341d0da7f11d97aa8b4f83f4e39609aa9 | 2021-09-09T10:34:36.000Z | [
"pytorch",
"bert",
"fill-mask",
"gl",
"pt",
"arxiv:2106.13553",
"transformers",
"autotrain_compatible"
] | fill-mask | false | marcosgg | null | marcosgg/bert-small-gl-cased | 1 | 1 | transformers | 29,912 | ---
language:
- gl
- pt
widget:
- text: "A mesa estaba feita de [MASK]."
---
# BERT for Galician (Small)
This is a small pre-trained BERT model (6 layers, cased) for Galician (ILG/RAG spelling). It was evaluated on lexical semantics tasks, using a [dataset to identify homonymy and synonymy in context](https://git... |
marioarteaga/distilbert-base-uncased-finetuned-squad | decaeb436743d4937bcbf9eb19677566dd54f99c | 2022-01-04T20:26:53.000Z | [
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | marioarteaga | null | marioarteaga/distilbert-base-uncased-finetuned-squad | 1 | null | transformers | 29,913 | ---
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... |
marma/test | d3b539a91291db46010590e1e1ccffbbc3910ffd | 2021-07-06T12:24:31.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"sv",
"transformers",
"speech",
"audio"
] | automatic-speech-recognition | false | marma | null | marma/test | 1 | null | transformers | 29,914 | ---
language: sv
tags:
- speech
- audio
- automatic-speech-recognition
---
## Test |
marzinouri101/parsbert-finetuned-persianQA | 61eed32718e869d82ea26089796f73bcdb974355 | 2022-02-05T04:39:21.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | marzinouri101 | null | marzinouri101/parsbert-finetuned-persianQA | 1 | null | transformers | 29,915 | Entry not found |
masapasa/wav2vec2-large-xls-r-300m-turkish-colab | 2fc27528291d8705ce5ccd0d6df34f4a3f627214 | 2022-01-19T17:30:55.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"dataset:common_voice",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | masapasa | null | masapasa/wav2vec2-large-xls-r-300m-turkish-colab | 1 | null | transformers | 29,916 | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-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, the... |
masapasa/xls-r-300m-sv-cv8 | 9db4420337f69412eb01933baf189b985f86e3eb | 2022-03-24T11:55:57.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"sv-SE",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
"robust-speech-event",
"mozilla-foundation/common_voice_8_0",
"generated_from_trainer",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | masapasa | null | masapasa/xls-r-300m-sv-cv8 | 1 | null | transformers | 29,917 | ---
language:
- sv-SE
license: apache-2.0
tags:
- robust-speech-event
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
- hf-asr-leaderboard
datasets:
- mozilla-foundation/common_voice_8_0
model-index:
- name: ''
results:
- task:
name: Automatic Speech Recognition
... |
maurice/PolitBERT | 6d7e702589046259bb4d63573e4846d9fd8a5759 | 2021-05-19T23:10:43.000Z | [
"pytorch",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | maurice | null | maurice/PolitBERT | 1 | null | transformers | 29,918 | # PolitBERT
## Background
This model was created to specialize on political speeches, interviews and press briefings of English-speaking politicians.
## Training
The model was initialized using the pre-trained weights of BERT<sub>BASE</sub> and trained for 20 epochs on the standard MLM task with default parameters.
... |
maxidl/iML-distilbert-base-uncased-select | 418d7c7d44e8d601fa79a9a911cf34cf3eb30b40 | 2021-11-18T22:45:22.000Z | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | maxidl | null | maxidl/iML-distilbert-base-uncased-select | 1 | null | transformers | 29,919 | Entry not found |
maximedb/drclips | dcfbba568c85801d3aa7c4bc671d96420c596879 | 2021-10-21T18:06:53.000Z | [
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | maximedb | null | maximedb/drclips | 1 | null | transformers | 29,920 | Entry not found |
maximedb/splade-roberta | d35062656b4e419fc52ef56143bf1c0d127f51fd | 2022-02-12T19:21:33.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | maximedb | null | maximedb/splade-roberta | 1 | null | transformers | 29,921 | Entry not found |
maximedb/test-2 | bc0e1f9d3b24328c32ec86344d185a94d85e5dbb | 2021-10-18T19:34:47.000Z | [
"pytorch",
"tf",
"xlm-roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | maximedb | null | maximedb/test-2 | 1 | null | transformers | 29,922 | Entry not found |
maxspaziani/bert-base-italian-uncased-finetuned-ComunaliRoma | 0a19a8abd848291904d7249ade7dfb488dcfed2e | 2021-10-18T16:34:41.000Z | [
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | fill-mask | false | maxspaziani | null | maxspaziani/bert-base-italian-uncased-finetuned-ComunaliRoma | 1 | null | transformers | 29,923 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: bert-base-italian-uncased-finetuned-ComunaliRoma
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. ... |
maxspaziani/bert-base-italian-xxl-uncased-finetuned-ComunaliRoma | 855b7b6b1a26ee69b34d0f79f8cde6db9166a9f0 | 2021-10-19T17:58:13.000Z | [
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | fill-mask | false | maxspaziani | null | maxspaziani/bert-base-italian-xxl-uncased-finetuned-ComunaliRoma | 1 | null | transformers | 29,924 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: bert-base-italian-xxl-uncased-finetuned-ComunaliRoma
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 comme... |
mbateman/marian-finetuned-kde4-en-to-fr-accelerate | 55d436f77fa0851b536f6b2c763f77256ed3be43 | 2022-01-27T11:41:27.000Z | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | mbateman | null | mbateman/marian-finetuned-kde4-en-to-fr-accelerate | 1 | null | transformers | 29,925 | Entry not found |
mbateman/mt5-small-finetuned-amazon-en-es | 3f65884fb085fb05b76f84ac582fa85b5005208a | 2022-02-02T10:07:07.000Z | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | summarization | false | mbateman | null | mbateman/mt5-small-finetuned-amazon-en-es | 1 | null | transformers | 29,926 | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-amazon-en-es
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, th... |
mbeukman/xlm-roberta-base-finetuned-amharic-finetuned-ner-amharic | ee1a5eb8a40eb086e0009b7563ca2b19465141ba | 2022-02-22T11:30:02.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"am",
"dataset:masakhaner",
"arxiv:2103.11811",
"transformers",
"NER",
"autotrain_compatible"
] | token-classification | false | mbeukman | null | mbeukman/xlm-roberta-base-finetuned-amharic-finetuned-ner-amharic | 1 | null | transformers | 29,927 | ---
language:
- am
tags:
- NER
- token-classification
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "ቀዳሚው የሶማሌ ክልል በአወዳይ ከተማ ለተገደሉ የክልሉ ተወላጆች ያከናወነው የቀብር ስነ ስርዓትን የተመለከተ ዘገባ ነው ፡፡"
---
# xlm-roberta-base-finetuned-amharic-finetuned-ner-amharic
This is a token classification (specificall... |
mbeukman/xlm-roberta-base-finetuned-hausa-finetuned-ner-hausa | aabd3b4a0eae299c01f53283204557c6ad8f0700 | 2021-11-25T09:03:55.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"ha",
"dataset:masakhaner",
"arxiv:2103.11811",
"transformers",
"NER",
"autotrain_compatible"
] | token-classification | false | mbeukman | null | mbeukman/xlm-roberta-base-finetuned-hausa-finetuned-ner-hausa | 1 | null | transformers | 29,928 | ---
language:
- ha
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "A saurari cikakken rahoton wakilin Muryar Amurka Ibrahim Abdul'aziz"
---
# xlm-roberta-base-finetuned-hausa-finetuned-ner-hausa
This is a token classification (specifically NER) model that fine-tuned [xlm-robe... |
mbeukman/xlm-roberta-base-finetuned-ner-yoruba | 501c635e49b290291b76d35f51b7b400435b21d5 | 2021-11-25T09:04:45.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"yo",
"dataset:masakhaner",
"arxiv:2103.11811",
"transformers",
"NER",
"autotrain_compatible"
] | token-classification | false | mbeukman | null | mbeukman/xlm-roberta-base-finetuned-ner-yoruba | 1 | null | transformers | 29,929 | ---
language:
- yo
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "Kò sí ẹ̀rí tí ó fi ẹsẹ̀ rinlẹ̀ ."
---
# xlm-roberta-base-finetuned-ner-yoruba
This is a token classification (specifically NER) model that fine-tuned [xlm-roberta-base](https://huggingface.co/xlm-roberta-base)... |
mbeukman/xlm-roberta-base-finetuned-swahili-finetuned-ner-amharic | 964bbb6eff4f4049efda3fd6cee25c26dc4fff08 | 2022-02-22T11:42:08.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"am",
"dataset:masakhaner",
"arxiv:2103.11811",
"transformers",
"NER",
"autotrain_compatible"
] | token-classification | false | mbeukman | null | mbeukman/xlm-roberta-base-finetuned-swahili-finetuned-ner-amharic | 1 | null | transformers | 29,930 | ---
language:
- am
tags:
- NER
- token-classification
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "ቀዳሚው የሶማሌ ክልል በአወዳይ ከተማ ለተገደሉ የክልሉ ተወላጆች ያከናወነው የቀብር ስነ ስርዓትን የተመለከተ ዘገባ ነው ፡፡"
---
# xlm-roberta-base-finetuned-swahili-finetuned-ner-amharic
This is a token classification (specificall... |
mbeukman/xlm-roberta-base-finetuned-swahili-finetuned-ner-hausa | dd4fbc19996fccbcb53da5c957a6026f335df11c | 2021-11-25T09:04:48.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"ha",
"dataset:masakhaner",
"arxiv:2103.11811",
"transformers",
"NER",
"autotrain_compatible"
] | token-classification | false | mbeukman | null | mbeukman/xlm-roberta-base-finetuned-swahili-finetuned-ner-hausa | 1 | null | transformers | 29,931 | ---
language:
- ha
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "A saurari cikakken rahoton wakilin Muryar Amurka Ibrahim Abdul'aziz"
---
# xlm-roberta-base-finetuned-swahili-finetuned-ner-hausa
This is a token classification (specifically NER) model that fine-tuned [xlm-ro... |
mbeukman/xlm-roberta-base-finetuned-swahili-finetuned-ner-igbo | c7f3897a7f26dd10d52ec13b014cf7c1836a699b | 2021-11-25T09:04:50.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"ig",
"dataset:masakhaner",
"arxiv:2103.11811",
"transformers",
"NER",
"autotrain_compatible"
] | token-classification | false | mbeukman | null | mbeukman/xlm-roberta-base-finetuned-swahili-finetuned-ner-igbo | 1 | null | transformers | 29,932 | ---
language:
- ig
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "Ike ịda jụụ otụ nkeji banyere oke ogbugbu na - eme n'ala Naijiria agwụla Ekweremmadụ"
---
# xlm-roberta-base-finetuned-swahili-finetuned-ner-igbo
This is a token classification (specifically NER) model that fi... |
mbeukman/xlm-roberta-base-finetuned-swahili-finetuned-ner-luganda | 27af25f8aeb0cfac3f5523eba76c90562e2d1d67 | 2021-11-25T09:04:55.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"lug",
"dataset:masakhaner",
"arxiv:2103.11811",
"transformers",
"NER",
"autotrain_compatible"
] | token-classification | false | mbeukman | null | mbeukman/xlm-roberta-base-finetuned-swahili-finetuned-ner-luganda | 1 | null | transformers | 29,933 | ---
language:
- lug
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "Empaka zaakubeera mu kibuga Liverpool e Bungereza , okutandika nga July 12 ."
---
# xlm-roberta-base-finetuned-swahili-finetuned-ner-luganda
This is a token classification (specifically NER) model that fine-t... |
mbeukman/xlm-roberta-base-finetuned-swahili-finetuned-ner-naija | 4c0a64448d3c937f232663e737b0fc09b6f5972b | 2021-11-25T09:05:00.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"pcm",
"dataset:masakhaner",
"arxiv:2103.11811",
"transformers",
"NER",
"autotrain_compatible"
] | token-classification | false | mbeukman | null | mbeukman/xlm-roberta-base-finetuned-swahili-finetuned-ner-naija | 1 | null | transformers | 29,934 | ---
language:
- pcm
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "Mixed Martial Arts joinbodi , Ultimate Fighting Championship , UFC don decide say dem go enta back di octagon on Saturday , 9 May , for Jacksonville , Florida ."
---
# xlm-roberta-base-finetuned-swahili-finet... |
mbeukman/xlm-roberta-base-finetuned-swahili-finetuned-ner-yoruba | 38e2c17ba6e3981f4f3d7dcf8b813c2319bc5acb | 2021-11-25T09:05:08.000Z | [
"pytorch",
"xlm-roberta",
"token-classification",
"yo",
"dataset:masakhaner",
"arxiv:2103.11811",
"transformers",
"NER",
"autotrain_compatible"
] | token-classification | false | mbeukman | null | mbeukman/xlm-roberta-base-finetuned-swahili-finetuned-ner-yoruba | 1 | null | transformers | 29,935 | ---
language:
- yo
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "Kò sí ẹ̀rí tí ó fi ẹsẹ̀ rinlẹ̀ ."
---
# xlm-roberta-base-finetuned-swahili-finetuned-ner-yoruba
This is a token classification (specifically NER) model that fine-tuned [xlm-roberta-base-finetuned-swahili](http... |
mbsouksu/wav2vec2-large-xlsr-turkish-large | 60d07c5d10e5650c0beef2702cc4607d0c7ae0d4 | 2021-07-06T12:43:27.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"tr",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | mbsouksu | null | mbsouksu/wav2vec2-large-xlsr-turkish-large | 1 | null | transformers | 29,936 | ---
language: tr
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Turkish by Mehmet Berk Souksu
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
... |
meghana/hitalm-xlmroberta-finetuned | 2f870cf0cdc114de663baec42cf137ad394555b4 | 2021-10-22T11:51:18.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"fill-mask",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | fill-mask | false | meghana | null | meghana/hitalm-xlmroberta-finetuned | 1 | null | transformers | 29,937 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: hitalm-xlmroberta-finetuned
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. -->
# hitalm-xlmrobe... |
meghanabhange/hinglish-indic-bert | 407dcd77183d1aaffc30895c95433f93da564fc0 | 2020-10-22T18:31:30.000Z | [
"pytorch"
] | null | false | meghanabhange | null | meghanabhange/hinglish-indic-bert | 1 | null | null | 29,938 | Entry not found |
meghanabhange/history_roberta_mcq | 06e461da417160e2d3012f79c79ec63ead340ff4 | 2021-06-28T10:41:28.000Z | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | meghanabhange | null | meghanabhange/history_roberta_mcq | 1 | null | transformers | 29,939 | Entry not found |
menciusds/flairmodel | b4cd7f5982499291f18eed0c6d6b7346b7bbf4a8 | 2022-01-31T16:07:32.000Z | [
"pytorch",
"flair",
"token-classification"
] | token-classification | false | menciusds | null | menciusds/flairmodel | 1 | null | flair | 29,940 | ---
tags:
- flair
- token-classification
widget:
- text: "does this work"
---
## Test model README
Some test README description |
metamong1/bigbart_full_tapt_ep3_bs16_pre_RD_half_warmpstep | 80c2ba2516aa37e323fdb9b5a32113c9ea5a9e32 | 2021-12-23T13:44:37.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | metamong1 | null | metamong1/bigbart_full_tapt_ep3_bs16_pre_RD_half_warmpstep | 1 | null | transformers | 29,941 | Entry not found |
metamong1/bigbird-bart-base | 0045796c30fbb96be996a9f48c551bedabbcc48f | 2021-12-18T19:54:33.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | metamong1 | null | metamong1/bigbird-bart-base | 1 | 1 | transformers | 29,942 | Entry not found |
mhd-mst/pure-finetuning3 | 96be7814697521ed2fafb8fc3a0e2a9dc4393a4e | 2022-01-17T19:42:26.000Z | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | mhd-mst | null | mhd-mst/pure-finetuning3 | 1 | null | transformers | 29,943 | Entry not found |
miaomiaomiao/macbert_miao | a8cda7d1b3baf16975b4b9a536d948fa1ef159d5 | 2021-05-19T23:20:21.000Z | [
"pytorch",
"jax",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | miaomiaomiao | null | miaomiaomiao/macbert_miao | 1 | null | transformers | 29,944 | Entry not found |
miaomiaomiao/nezha_miao | 5bff66e54806bad9cc859956fc1eda5d7ab11219 | 2021-04-15T04:29:14.000Z | [
"pytorch",
"transformers"
] | null | false | miaomiaomiao | null | miaomiaomiao/nezha_miao | 1 | null | transformers | 29,945 | Entry not found |
michaelhsieh42/distilgpt2-finetuned-wikitext2 | 5ff860ce6b664f4c96b28bb47660f9f26e2dfa9d | 2022-01-21T08:33:37.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | michaelhsieh42 | null | michaelhsieh42/distilgpt2-finetuned-wikitext2 | 1 | null | transformers | 29,946 | Entry not found |
microsoft/unispeech-1350-en-90-it-ft-1h | 3342ea75248472e76a34c5a9d7bad0eb9a9eab82 | 2021-12-19T13:19:29.000Z | [
"pytorch",
"unispeech",
"automatic-speech-recognition",
"it",
"dataset:common_voice",
"arxiv:2101.07597",
"transformers",
"audio"
] | automatic-speech-recognition | false | microsoft | null | microsoft/unispeech-1350-en-90-it-ft-1h | 1 | null | transformers | 29,947 | ---
language:
- it
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
---
# UniSpeech-Large-plus ITALIAN
[Microsoft's UniSpeech](https://www.microsoft.com/en-us/research/publication/unispeech-unified-speech-representation-learning-with-labeled-and-unlabeled-data/)
The large model pretrained on 16k... |
microsoft/unispeech-sat-large-sv | 5448decbeb9ee3546551f8cbc540eb9af8320360 | 2021-12-17T18:13:15.000Z | [
"pytorch",
"unispeech-sat",
"audio-xvector",
"en",
"arxiv:1912.07875",
"arxiv:2106.06909",
"arxiv:2101.00390",
"arxiv:2110.05752",
"transformers",
"speech"
] | null | false | microsoft | null | microsoft/unispeech-sat-large-sv | 1 | 2 | transformers | 29,948 | ---
language:
- en
datasets:
tags:
- speech
---
# UniSpeech-SAT-Large for Speaker Verification
[Microsoft's UniSpeech](https://www.microsoft.com/en-us/research/publication/unispeech-unified-speech-representation-learning-with-labeled-and-unlabeled-data/)
The model was pretrained on 16kHz sampled speech audio with ut... |
microsoft/wavlm-base-sd | fe13cca7e592cf0e11287cfede24e6999ac7dc4e | 2022-03-25T12:05:11.000Z | [
"pytorch",
"wavlm",
"audio-frame-classification",
"en",
"arxiv:2110.13900",
"transformers",
"speech"
] | null | false | microsoft | null | microsoft/wavlm-base-sd | 1 | null | transformers | 29,949 | ---
language:
- en
tags:
- speech
---
# WavLM-Base for Speaker Diarization
[Microsoft's WavLM](https://github.com/microsoft/unilm/tree/master/wavlm)
The model was pretrained on 16kHz sampled speech audio with utterance and speaker contrastive loss. When using the model, make sure that your speech input is also sampl... |
midas/gupshup_e2e_bart | fa17ff46877b6e1cf49022713e9702171f4f35de | 2021-11-14T02:09:24.000Z | [
"pytorch",
"bart",
"text2text-generation",
"arxiv:1910.04073",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | midas | null | midas/gupshup_e2e_bart | 1 | null | transformers | 29,950 | # Gupshup
GupShup: Summarizing Open-Domain Code-Switched Conversations EMNLP 2021
Paper: [https://aclanthology.org/2021.emnlp-main.499.pdf](https://aclanthology.org/2021.emnlp-main.499.pdf)
Github: [https://github.com/midas-research/gupshup](https://github.com/midas-research/gupshup)
### Dataset
Please request for the... |
miguelvictor/python-bart-large | f34279a6cefb128f63623d6d9d8ff6c649717318 | 2021-05-01T14:59:22.000Z | [
"pytorch",
"bart",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | miguelvictor | null | miguelvictor/python-bart-large | 1 | null | transformers | 29,951 | Entry not found |
mimi/Waynehills-NLP-doogie-AIHub-paper-summary-AIHub-paper-summary | 88f81f6c9cc61bec38da5bf2a3965b6319ebb02b | 2022-01-07T08:46:52.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | mimi | null | mimi/Waynehills-NLP-doogie-AIHub-paper-summary-AIHub-paper-summary | 1 | null | transformers | 29,952 | Entry not found |
mimi/Waynehills_NLP_muti | f46da4645900d946af18ca93f4e575948ac8a88d | 2022-01-20T07:12:11.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | mimi | null | mimi/Waynehills_NLP_muti | 1 | null | transformers | 29,953 | Entry not found |
mimi/wynehills-mimi-ASR | a2b5e20bd34e739da7d7c4055449c92e64d5e3a1 | 2021-11-30T11:45:21.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"model-index"
] | automatic-speech-recognition | false | mimi | null | mimi/wynehills-mimi-ASR | 1 | null | transformers | 29,954 | ---
tags:
- generated_from_trainer
model-index:
name: wynehills-mimi-ASR
---
<!-- 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. -->
# wynehills-mimi-ASR
This model was trained from sc... |
minemile/dummy-model | d0a229e6f7b335f8c16d35c63ab72334f4c21f4e | 2021-12-01T10:53:59.000Z | [
"pytorch",
"camembert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | minemile | null | minemile/dummy-model | 1 | null | transformers | 29,955 | Entry not found |
mingchen7/bert-question-answering | 82c35e24952f57448b6ed88234205f71f4f6d983 | 2021-07-13T06:40:53.000Z | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | mingchen7 | null | mingchen7/bert-question-answering | 1 | null | transformers | 29,956 | Entry not found |
minhdang241/robustqa-tapt | ddb263c6f14e4cbf839800a96305c2305175cd1a | 2021-04-27T03:34:14.000Z | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | minhdang241 | null | minhdang241/robustqa-tapt | 1 | null | transformers | 29,957 | Entry not found |
minsiam/DialoGPT-small-harrypotterbot | bb58e050b74e42e3ab3ab6f7ce87deac911f01cc | 2021-09-19T17:07:41.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | minsiam | null | minsiam/DialoGPT-small-harrypotterbot | 1 | null | transformers | 29,958 | ---
tags:
- conversational
---
#Harry Potter DialoGPT Model |
mittalnishit/DialoGPT-small-rickman | 5d8dfda886ab029f40a5d8b0de832cc390b59c33 | 2021-06-23T07:15:52.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | mittalnishit | null | mittalnishit/DialoGPT-small-rickman | 1 | null | transformers | 29,959 | ---
tags:
- conversational
---
# DialoGPT-small-rickman |
mk3smo/dialogpt-med-duck2 | 85765b5e29985a7ac02d61b7aa509866193fbde2 | 2021-12-31T05:41:44.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | mk3smo | null | mk3smo/dialogpt-med-duck2 | 1 | null | transformers | 29,960 | ---
tags:
- conversational
---
# Duck/Ahiru DialoGPT Model |
mk3smo/dialogpt-med-duck3 | d5def39d7066a9b1286474884b7849f9fd9354d6 | 2021-12-31T06:06:10.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | mk3smo | null | mk3smo/dialogpt-med-duck3 | 1 | null | transformers | 29,961 | ---
tags:
- conversational
---
# Duck/Ahiru DialoGPT Model |
mk3smo/dialogpt-med-duck5 | 6c4d7ec29605d0b62eb0f384f31eed00dacef135 | 2021-12-31T16:26:54.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | mk3smo | null | mk3smo/dialogpt-med-duck5 | 1 | null | transformers | 29,962 | ---
tags:
- conversational
---
# Duck dialogpt model |
mk3smo/dialogpt-med-stt3 | 5672d8ce9297e1582813ed91faf36c39e7a1dc4f | 2021-12-31T22:03:13.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | mk3smo | null | mk3smo/dialogpt-med-stt3 | 1 | null | transformers | 29,963 | ---
tags:
- conversational
---
# not writing shit here |
ml6team/gpt-2-small-conditional-quote-generator | 946b32ca64b5985e39baf96c668487b0651d5725 | 2021-05-23T09:40:50.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | ml6team | null | ml6team/gpt-2-small-conditional-quote-generator | 1 | 6 | transformers | 29,964 | Entry not found |
mm/roberta-large-mld | 9df889e8fd90f53e90a3a0298c38a7e2e06fa6f1 | 2021-05-20T17:56:43.000Z | [
"pytorch",
"tf",
"jax",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | mm | null | mm/roberta-large-mld | 1 | null | transformers | 29,965 | # roberta-large-mld
This is a pretrained roberta-large model for machine learning domain documents.
|
mmcquade11-test/reuters-summarization | 7f9ab696a49d54bf43ed8134139a5b4cf94a2bfd | 2021-11-30T21:43:51.000Z | [
"pytorch",
"pegasus",
"text2text-generation",
"en",
"dataset:mmcquade11/autonlp-data-reuters-summarization",
"transformers",
"autonlp",
"co2_eq_emissions",
"autotrain_compatible"
] | text2text-generation | false | mmcquade11-test | null | mmcquade11-test/reuters-summarization | 1 | null | transformers | 29,966 | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- mmcquade11/autonlp-data-reuters-summarization
co2_eq_emissions: 286.4350821612984
---
This is an autoNLP model I trained on Reuters dataset
# Model Trained Using AutoNLP
- Problem type: Summarization
- Model ID: 34018133
- CO2 Emissions (... |
mobedkova/wav2vec2-xls-r-300m-ru | cb22918ff4144c820896ea8083d8b2fcaf93af2b | 2022-02-07T15:22:00.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | mobedkova | null | mobedkova/wav2vec2-xls-r-300m-ru | 1 | null | transformers | 29,967 | Entry not found |
model-mili/DialoGPT-small-Sapph-v1 | 5fc0fd771f3b22d82f06de9f1c792fcbeebdc284 | 2021-11-25T22:48:08.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | model-mili | null | model-mili/DialoGPT-small-Sapph-v1 | 1 | null | transformers | 29,968 | ---
tags:
- conversational
---
# DialoGPT-small-Sapph-v1 |
model-mili/DialoGPT-small-Yukub-v2 | e6bb430945701eac85d6ae890a4a6351b5d6e734 | 2021-11-14T00:39:59.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | model-mili | null | model-mili/DialoGPT-small-Yukub-v2 | 1 | null | transformers | 29,969 | ---
tags:
- conversational
---
# Dialo-GPT small Yukub model v2 |
model-mili/DialoGPT-small-Yukub | 32414560eaaae3f3484020271b1d6d02c3c87516 | 2021-11-13T01:19:22.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | model-mili | null | model-mili/DialoGPT-small-Yukub | 1 | null | transformers | 29,970 | ---
tags:
- conversational
---
# Dialo-GPT small Yukub model |
mofawzy/cstgan | c14a9a7d65511e98725e6cf893c922c85e8f0236 | 2021-12-14T07:28:14.000Z | [
"pytorch",
"gpt2",
"transformers"
] | null | false | mofawzy | null | mofawzy/cstgan | 1 | null | transformers | 29,971 | Entry not found |
mofawzy/gpt-2-negative-reviews | aabf92630ab3cb1a0f43eec12fd90fff046af764 | 2021-05-23T09:55:19.000Z | [
"pytorch",
"tf",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | mofawzy | null | mofawzy/gpt-2-negative-reviews | 1 | null | transformers | 29,972 | |
moha/mbert_ar_c19 | df4cab1f21482d69e981f5c5dda3158e49249d63 | 2021-05-19T23:38:34.000Z | [
"pytorch",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2105.03143",
"arxiv:2004.04315",
"transformers",
"autotrain_compatible"
] | fill-mask | false | moha | null | moha/mbert_ar_c19 | 1 | null | transformers | 29,973 | ---
language: ar
widget:
- text: "للوقايه من انتشار [MASK]"
---
# mbert_c19: An mbert model pretrained on 1.5 million COVID-19 multi-dialect Arabic tweets
**mBERT COVID-19** [Arxiv URL](https://arxiv.org/pdf/2105.03143.pdf) is a pretrained (fine-tuned) version of the mBERT model (https://huggingface.co/bert-base-mult... |
mohamed-illiyas/wav2vec2-base-lj-demo-colab | c012f73e4533fe280baf2b3fbc95552d9bf2f7f5 | 2022-02-16T15:24:20.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | mohamed-illiyas | null | mohamed-illiyas/wav2vec2-base-lj-demo-colab | 1 | null | transformers | 29,974 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-lj-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 remove this comment. -->
# wav2vec... |
mohamed1ai/wav2vec2-large-xls-ar | 6eb1a1ad1ebc9d6f815418f017d248cb5f8c4836 | 2022-02-17T21:45:49.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ar",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | mohamed1ai | null | mohamed1ai/wav2vec2-large-xls-ar | 1 | 1 | transformers | 29,975 | ---
language: ar
use datasets:
- common_voice: Common Voice Corpus 5.1
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: Hasni XLSR Wav2Vec2 Large 53
results:
- task:
name: Speech Recognition
type: automatic-speech-reco... |
moma1820/DSV-JavaFx-DAPT-CodeBert | a1c28bf5f9a4ac0660a5d9bd259cf9d93164f3e3 | 2021-08-25T12:09:07.000Z | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | moma1820 | null | moma1820/DSV-JavaFx-DAPT-CodeBert | 1 | null | transformers | 29,976 | Pre Träna CodeBert med JavaFx + Java FXML + JavaFx relaterat logik kod (dvs. Model, Controller för olika JavaFx kod).
Blev ungefär 130 k kod exemplar
````
***** train metrics *****
epoch = 3.0
train_loss = 0.4556
train_runtime = 5:57:43.71
train_sampl... |
monologg/koelectra-base-v1-goemotions | 63b4513e0b3516654ccc7d30765a9a8718cc939c | 2021-02-09T14:37:05.000Z | [
"pytorch",
"electra",
"transformers"
] | null | false | monologg | null | monologg/koelectra-base-v1-goemotions | 1 | null | transformers | 29,977 | Entry not found |
monologg/koelectra-small-v1-goemotions | a32c506140654d8fb8d4b872a9b9bd01e3faab6b | 2021-02-09T14:40:43.000Z | [
"pytorch",
"electra",
"transformers"
] | null | false | monologg | null | monologg/koelectra-small-v1-goemotions | 1 | null | transformers | 29,978 | Entry not found |
monologg/koelectra-small-v3-finetuned-korquad | 65c2dd066733645489b17789a49029992bdd294b | 2020-10-14T01:45:01.000Z | [
"pytorch",
"electra",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | monologg | null | monologg/koelectra-small-v3-finetuned-korquad | 1 | null | transformers | 29,979 | Entry not found |
monsoon-nlp/byt5-basque | 76e9349fd54475ed0659979a848f04f2cda38fdf | 2021-07-07T06:13:11.000Z | [
"pytorch",
"tf",
"t5",
"text2text-generation",
"eu",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | monsoon-nlp | null | monsoon-nlp/byt5-basque | 1 | null | transformers | 29,980 | ---
language: eu
---
# byt5-basque
Pretrained from scratch on Euskara (Basque language)
with ByT5, Google's new byte-level tokenizer strategy.
Corpus: eu.wikipedia.org as of March 2020 (TFDS)
Pretraining Notebook: https://colab.research.google.com/drive/19Afq7CI6cOi1DaTpnQhBbEbnBzLSFHbH
## Todos
Fine-tuning
The... |
monsoon-nlp/gpt-nyc-affirmations | 4f85b6d800bff705b88d80327a2c6b592f27c08a | 2021-08-10T21:06:00.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | monsoon-nlp | null | monsoon-nlp/gpt-nyc-affirmations | 1 | null | transformers | 29,981 | # GPT-NYC-affirmations
## About
GPT2 (small version on HF) fine-tuned on questions and responses from https://reddit.com/r/asknyc
and then 2 epochs of [Value Affirmations](https://gist.github.com/mapmeld/c16794ecd93c241a4d6a65bda621bb55)
based on the OpenAI post [Improving Language Model Behavior](https://openai.com/... |
monsoon-nlp/gpt-nyc-small | b52a84ce3bf57052fe08c64e65aff12cd3f8a29c | 2021-05-23T10:01:10.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | monsoon-nlp | null | monsoon-nlp/gpt-nyc-small | 1 | null | transformers | 29,982 | # GPT-NYC-small
## About
GPT2 (small version on HF) fine-tuned on questions and responses from https://reddit.com/r/asknyc
I filtered comments to ones with scores >= 3, and responding directly
to the original post ( = ignoring responses to other commenters).
I also added many tokens which were common on /r/AskNYC bu... |
monsoon-nlp/gpt-winowhy | 011e3c742a467a09a24cfdccc0946883fe4d8ae7 | 2021-05-22T05:03:46.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | monsoon-nlp | null | monsoon-nlp/gpt-winowhy | 1 | null | transformers | 29,983 | Entry not found |
motiondew/bert-sd1 | e8c528a32013580a049487c4776655a5d6ef0428 | 2021-07-01T07:25:24.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | motiondew | null | motiondew/bert-sd1 | 1 | null | transformers | 29,984 | Entry not found |
motiondew/bert-sd2-lr-5e-5-bs-32-e-3 | 7f157e7228a5b5f6305d2ddea89fc65cff5a3605 | 2021-07-04T13:52:26.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | motiondew | null | motiondew/bert-sd2-lr-5e-5-bs-32-e-3 | 1 | null | transformers | 29,985 | Entry not found |
motiondew/bert-sd2-small | 26416b4bb32ed5fac36b7c59b37471eb8e1e448d | 2021-07-01T09:02:16.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | motiondew | null | motiondew/bert-sd2-small | 1 | null | transformers | 29,986 | Entry not found |
motiondew/bert-sd2 | 545d236276d01cb6c62348e078e78e99e5652eab | 2021-07-01T07:22:25.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | motiondew | null | motiondew/bert-sd2 | 1 | null | transformers | 29,987 | Entry not found |
motiondew/bert-sd3-small | dc62bd6ba5453ee6549b98bfb9acb25bb33b44cb | 2021-07-01T09:26:15.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | motiondew | null | motiondew/bert-sd3-small | 1 | null | transformers | 29,988 | Entry not found |
motiondew/bert-sd3 | a0b6d1dd681762fa32cb5c42e679356bcff4d463 | 2021-07-01T07:18:41.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | motiondew | null | motiondew/bert-sd3 | 1 | null | transformers | 29,989 | Entry not found |
motiondew/bert-set_date_1-lr-2e-5-bs-32-ep-3 | 7ced898d2cdaa002379e281b30892f7aa6e39e7d | 2021-06-24T23:09:10.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | motiondew | null | motiondew/bert-set_date_1-lr-2e-5-bs-32-ep-3 | 1 | null | transformers | 29,990 | Entry not found |
motiondew/bert-set_date_1-lr-2e-5-bs-32-ep-4 | 35a8e89f45ed107179c44ecc7e30f1fd4e7b532f | 2021-06-25T06:57:25.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | motiondew | null | motiondew/bert-set_date_1-lr-2e-5-bs-32-ep-4 | 1 | null | transformers | 29,991 | Entry not found |
motiondew/bert-set_date_1-lr-3e-5-bs-32-ep-3 | a6e72b7f1c9c8a6049bd01a978e9068ae97f750f | 2021-06-25T10:02:03.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | motiondew | null | motiondew/bert-set_date_1-lr-3e-5-bs-32-ep-3 | 1 | null | transformers | 29,992 | Entry not found |
motiondew/bert-set_date_2-lr-2e-5-bs-32-ep-3 | 728a135a926d8ce4d4f44eef864032ee374c2bc5 | 2021-06-24T23:15:26.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | motiondew | null | motiondew/bert-set_date_2-lr-2e-5-bs-32-ep-3 | 1 | null | transformers | 29,993 | Entry not found |
motiondew/bert-set_date_2-lr-2e-5-bs-32-ep-4 | 4784a1de3324239605a22eb8d34c253606684955 | 2021-06-25T07:26:59.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | motiondew | null | motiondew/bert-set_date_2-lr-2e-5-bs-32-ep-4 | 1 | null | transformers | 29,994 | Entry not found |
motiondew/bert-set_date_2-lr-3e-5-bs-32-ep-3 | 90e1fa49386bfc16670586c8f45f6b65ddd0e72e | 2021-06-25T10:07:56.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | motiondew | null | motiondew/bert-set_date_2-lr-3e-5-bs-32-ep-3 | 1 | null | transformers | 29,995 | Entry not found |
motiondew/bert-set_date_3-lr-2e-5-bs-32-ep-3 | 604cc19bb354a85639e26805e69c88081a6c5110 | 2021-06-29T20:42:30.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | motiondew | null | motiondew/bert-set_date_3-lr-2e-5-bs-32-ep-3 | 1 | null | transformers | 29,996 | Entry not found |
motiondew/bert-set_date_3-lr-2e-5-bs-32-ep-4 | 3b57af613fbe883d70f55d5b09d48304ff751127 | 2021-06-29T20:41:47.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | motiondew | null | motiondew/bert-set_date_3-lr-2e-5-bs-32-ep-4 | 1 | null | transformers | 29,997 | Entry not found |
motiondew/distilbert-finetuned | 21c1e2b47ba6912591d3c330c19f6496973f72ad | 2021-05-13T14:39:38.000Z | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | motiondew | null | motiondew/distilbert-finetuned | 1 | null | transformers | 29,998 | Entry not found |
motiondew/set_date_1-impartit_4-bert | 26df3a06f6646669d1936f87112ab82230251228 | 2021-06-21T14:50:07.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | motiondew | null | motiondew/set_date_1-impartit_4-bert | 1 | null | transformers | 29,999 | Entry not found |
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