modelId stringlengths 4 112 | sha stringlengths 40 40 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringclasses 29
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
lucasresck/distilbert-base-uncased-finetuned-squad | cbcfe98089900b349e5a8fba21ce80661adcdb68 | 2021-11-15T17:04:05.000Z | [
"pytorch",
"distilbert",
"question-answering",
"dataset:squad",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | question-answering | false | lucasresck | null | lucasresck/distilbert-base-uncased-finetuned-squad | 0 | null | transformers | 35,600 | ---
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... |
lucio/wav2vec2-large-xlsr-luganda | cd3b7faf94ab64bb71e6f6a9cd3edf64b5859edd | 2021-07-06T10:20:26.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"lg",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | lucio | null | lucio/wav2vec2-large-xlsr-luganda | 0 | null | transformers | 35,601 | ---
language: lg
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Large Luganda by Lucio
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
... |
luffycodes/bb_narataka_roberta_base_nli_bsz_16_bb_bsz_16_nli_lr_3e6_bb_lr_3e6_wu_7k_grad_adam_mask | 4e3271a2c49e85a16dbc4c5f6560947922e8c3f7 | 2021-11-03T17:25:56.000Z | [
"pytorch",
"roberta",
"transformers"
] | null | false | luffycodes | null | luffycodes/bb_narataka_roberta_base_nli_bsz_16_bb_bsz_16_nli_lr_3e6_bb_lr_3e6_wu_7k_grad_adam_mask | 0 | null | transformers | 35,602 | Entry not found |
luffycodes/bb_narataka_roberta_large_nli_bsz_16_bb_bsz_16_nli_lr_2e5_bb_lr_2e5 | 907d44627bc79364ec71e71c90ce258481909156 | 2021-10-25T16:59:58.000Z | [
"pytorch",
"roberta",
"transformers"
] | null | false | luffycodes | null | luffycodes/bb_narataka_roberta_large_nli_bsz_16_bb_bsz_16_nli_lr_2e5_bb_lr_2e5 | 0 | null | transformers | 35,603 | Entry not found |
luffycodes/bb_narataka_roberta_large_nli_bsz_16_bb_bsz_16_nli_lr_2e5_bb_lr_2e5_norm_bb_mlm_loss | 4f084c4744aef420f46ea4669830e8f96fdffcb6 | 2021-10-24T14:55:52.000Z | [
"pytorch",
"roberta",
"transformers"
] | null | false | luffycodes | null | luffycodes/bb_narataka_roberta_large_nli_bsz_16_bb_bsz_16_nli_lr_2e5_bb_lr_2e5_norm_bb_mlm_loss | 0 | null | transformers | 35,604 | Entry not found |
luffycodes/bb_narataka_roberta_large_nli_bsz_16_bb_bsz_16_nli_lr_2e6_bb_lr_2e6_wu_7k_grad_adam_mask | a1392fbe9a9bd05a37d28cb28ac3746612ae8b2f | 2021-11-04T02:48:31.000Z | [
"pytorch",
"roberta",
"transformers"
] | null | false | luffycodes | null | luffycodes/bb_narataka_roberta_large_nli_bsz_16_bb_bsz_16_nli_lr_2e6_bb_lr_2e6_wu_7k_grad_adam_mask | 0 | null | transformers | 35,605 | Entry not found |
luffycodes/bb_narataka_roberta_large_nli_bsz_16_bb_bsz_16_nli_lr_7e6_bb_lr_7e6_wu_7k_grad_adam_mask | 792f8a5e0af3e33a4d14b6d189e9fba9a1b06b20 | 2021-11-02T18:17:17.000Z | [
"pytorch",
"roberta",
"transformers"
] | null | false | luffycodes | null | luffycodes/bb_narataka_roberta_large_nli_bsz_16_bb_bsz_16_nli_lr_7e6_bb_lr_7e6_wu_7k_grad_adam_mask | 0 | null | transformers | 35,606 | Entry not found |
luffycodes/mrpc_roberta_large_mnli_nli_bsz_16_bb_bsz_16_nli_lr_1e5_bb_lr_1e5_wu_250_ep_10_clone | 8adca56292164d7b7b3bd29408ef9291cf39ffc3 | 2021-11-08T06:29:17.000Z | [
"pytorch",
"roberta",
"transformers"
] | null | false | luffycodes | null | luffycodes/mrpc_roberta_large_mnli_nli_bsz_16_bb_bsz_16_nli_lr_1e5_bb_lr_1e5_wu_250_ep_10_clone | 0 | null | transformers | 35,607 | Entry not found |
luoweijie/dummy-model | 30c1a5bd6412743db1864193dffef3ab061634d4 | 2021-10-21T01:13:17.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | luoweijie | null | luoweijie/dummy-model | 0 | null | transformers | 35,608 | Entry not found |
lysandre/dummy-test | 1159f35738592b3acc22d40dc1e4325b0cc078aa | 2021-04-20T22:23:28.000Z | [
"pytorch"
] | null | false | lysandre | null | lysandre/dummy-test | 0 | null | null | 35,609 | Entry not found |
lysandre/my-cool-arxiv-model | a28ec738712afc973dbf9ba1c37b236898fd7525 | 2021-11-11T00:09:32.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | lysandre | null | lysandre/my-cool-arxiv-model | 0 | null | transformers | 35,610 | Entry not found |
m-lin20/satellite-instrument-bert-NER | 3615ce471a73a103813e569357dfbb3a2ba489cd | 2021-12-13T08:11:18.000Z | [
"pytorch",
"bert",
"token-classification",
"pt",
"transformers",
"autotrain_compatible"
] | token-classification | false | m-lin20 | null | m-lin20/satellite-instrument-bert-NER | 0 | 1 | transformers | 35,611 | ---
language: "pt"
widget:
- text: "Poised for launch in mid-2021, the joint NASA-USGS Landsat 9 mission will continue this important data record. In many respects Landsat 9 is a clone of Landsat-8. The Operational Land Imager-2 (OLI-2) is largely identical to Landsat 8 OLI, providing calibrated imagery covering the so... |
m3hrdadfi/wav2vec2-large-xlsr-estonian | 9da22e1c44ea2f82f9ad2fd81e244ab95c155bfb | 2021-07-06T10:28:26.000Z | [
"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 | m3hrdadfi | null | m3hrdadfi/wav2vec2-large-xlsr-estonian | 0 | null | transformers | 35,612 | ---
language: et
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
widget:
- label: Common Voice sample 1123
src: https://huggingface.co/m3hrdadfi/wav2vec2-large-xlsr-estonian/resolve/main/sample1123.flac
- label: Common Voice sample 910
src: ... |
m3hrdadfi/wav2vec2-large-xlsr-georgian | a36185cbc4f4cdea7625ceab52bdeaa8d754079f | 2021-11-04T15:22:05.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"ka",
"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-georgian | 0 | null | transformers | 35,613 | ---
language: ka
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
widget:
- example_title: Common Voice sample 566
src: https://huggingface.co/m3hrdadfi/wav2vec2-large-xlsr-georgian/resolve/main/sample566.flac
- example_title: Common Voice samp... |
machine2049/bert-base-uncased-finetuned-duorc_bert | bcf888f76b5283f9b7d7834d48d5f35f7f0cb231 | 2021-12-10T01:35:56.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | machine2049 | null | machine2049/bert-base-uncased-finetuned-duorc_bert | 0 | null | transformers | 35,614 | Entry not found |
machine2049/distilbert-base-uncased-finetuned-duorc_distilbert | dafc2bc5d556cf4f9a81537377ec13bafdfb767c | 2021-12-15T11:28:23.000Z | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | machine2049 | null | machine2049/distilbert-base-uncased-finetuned-duorc_distilbert | 0 | null | transformers | 35,615 | Entry not found |
machine2049/distilbert-base-uncased-finetuned-squad | 95538030d1e556a24d7e0e7de72910c7a5287037 | 2021-12-09T02:02:44.000Z | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | machine2049 | null | machine2049/distilbert-base-uncased-finetuned-squad | 0 | null | transformers | 35,616 | Entry not found |
machine2049/distilbert-base-uncased-finetuned-squad_distilbert | afe851c9ac95c88f64e7ab8c34ff587e55ff03f4 | 2021-12-09T21:34:25.000Z | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | machine2049 | null | machine2049/distilbert-base-uncased-finetuned-squad_distilbert | 0 | null | transformers | 35,617 | Entry not found |
mackei/ai12 | e1ee76e7e8db7c24df770cdadf7313c33ba8aed5 | 2022-02-10T12:31:44.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | mackei | null | mackei/ai12 | 0 | null | transformers | 35,618 | Entry not found |
macleginn/bert-multilingual-paws | 9bb81812143a0832c99457b5f56701634b35cfd9 | 2021-11-11T17:20:55.000Z | [
"pytorch"
] | null | false | macleginn | null | macleginn/bert-multilingual-paws | 0 | null | null | 35,619 | Entry not found |
madbuda/DialoGPT-medium-skippy | b5f4a12243b2fda2bb147b6f3c9d553b5e39e166 | 2021-11-25T02:45:17.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | madbuda | null | madbuda/DialoGPT-medium-skippy | 0 | null | transformers | 35,620 | ---
tags:
- conversational
---
# My Awesome Model |
madlag/bert-large-uncased-whole-word-masking-finetuned-squadv2 | ead15fce67e3003ae1ea873316afbfe2f057fc0e | 2021-05-19T22:45:40.000Z | [
"pytorch",
"jax",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | madlag | null | madlag/bert-large-uncased-whole-word-masking-finetuned-squadv2 | 0 | null | transformers | 35,621 | Used [run.sh](https://huggingface.co/madlag/bert-large-uncased-whole-word-masking-finetuned-squadv2/blob/main/run.sh) used to train using transformers/example/question_answering code.
Evaluation results : F1= 85.85 , a much better result than the original 81.9 from the BERT paper, due to the use of the "whole-word-mas... |
maelfabien/marcel_customer_service_medium_masked | 62fc91f340d0023d578f276e2110c956ec36d3d8 | 2021-04-14T13:27:45.000Z | [
"pytorch",
"camembert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | maelfabien | null | maelfabien/marcel_customer_service_medium_masked | 0 | null | transformers | 35,622 | Entry not found |
maelfabien/marcel_customer_service_xlarge | c695bafef3b7956b9b68688e0a522f09ed7e7b67 | 2021-04-14T12:42:05.000Z | [
"pytorch",
"camembert",
"text-generation",
"transformers"
] | text-generation | false | maelfabien | null | maelfabien/marcel_customer_service_xlarge | 0 | null | transformers | 35,623 | Entry not found |
maelfabien/marcel_customer_service_xlarge_masked | 7b51181c07fad816229aaf6eacaf667b3327b19c | 2021-04-14T13:21:49.000Z | [
"pytorch",
"camembert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | maelfabien | null | maelfabien/marcel_customer_service_xlarge_masked | 0 | null | transformers | 35,624 | Entry not found |
magnusgray/mlm_imdb_model | dd26b472d4aebb7bd23dab7e2613df27ff2d3d42 | 2021-09-10T15:25:13.000Z | [
"pytorch",
"roberta",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | magnusgray | null | magnusgray/mlm_imdb_model | 0 | null | transformers | 35,625 | Entry not found |
majonez57/JoeBot | d3d5905b087c4c1fd70851428ac173d4aa33ff06 | 2021-08-28T20:54:16.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | majonez57 | null | majonez57/JoeBot | 0 | null | transformers | 35,626 | ---
tags:
- conversational
---
# DialoGPT Joe Bot |
malloc/OpenNMT-py-English-German-Transformer | 1510d9c7b581db9d3a69310184dc4f6646611ec7 | 2022-01-18T20:18:11.000Z | [
"de",
"en",
"dataset:WMT",
"translation",
"pytorch",
"license:mit"
] | translation | false | malloc | null | malloc/OpenNMT-py-English-German-Transformer | 0 | 1 | null | 35,627 | ---
language:
- de
- en
tags:
- translation
- pytorch
license: mit
datasets:
- WMT
metrics:
- bleu
---
# OpenNMT-py-English-German-Transformer
[OpenNMT-py](https://github.com/OpenNMT/OpenNMT-py) is the PyTorch version of the OpenNMT project, an open-source (MIT) neural machine translation framework.
OpenNMT has several... |
malloc/OpenNMT-py-German-English-2-layer-BiLSTM | a8c3eeb52928bb9b1c27142dd542b5436e4029c4 | 2022-01-18T20:22:23.000Z | [
"de",
"en",
"dataset:IWSLT ‘14 DE-EN",
"translation",
"pytorch",
"license:mit"
] | translation | false | malloc | null | malloc/OpenNMT-py-German-English-2-layer-BiLSTM | 0 | null | null | 35,628 | ---
language:
- de
- en
tags:
- translation
- pytorch
license: mit
datasets:
- IWSLT ‘14 DE-EN
metrics:
- bleu
---
# OpenNMT-py-English-German-Transformer
[OpenNMT-py](https://github.com/OpenNMT/OpenNMT-py) is the PyTorch version of the OpenNMT project, an open-source (MIT) neural machine translation framework.
OpenNMT... |
manandey/wav2vec2-large-xlsr-assamese | 420e13fd515a7965deb8cd331615c5f9b2b39644 | 2021-07-06T11:22:54.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"as",
"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-assamese | 0 | null | transformers | 35,629 | ---
language: as
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Assamese by Manan Dey
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
... |
manandey/wav2vec2-large-xlsr-breton | 3ada51d2d5601b1a8e17d6de4892fa47e5ef137a | 2021-07-06T11:29:55.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"br",
"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-breton | 0 | null | transformers | 35,630 | ---
language: br
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Breton by Manan Dey
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common... |
manandey/wav2vec2-large-xlsr-tamil | 37d6f1b8798addda2d6ed3db8beb1605f0ed9525 | 2022-03-25T16:52:49.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"ta",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"hf-asr-leaderboard",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | manandey | null | manandey/wav2vec2-large-xlsr-tamil | 0 | null | transformers | 35,631 | ---
language: ta
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
- hf-asr-leaderboard
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Tamil by Manan Dey
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset... |
manav/dialogpt-medium-berkeley-reddit | 82f7042a320b0184b2e44e123bb83996aa9dc166 | 2021-05-23T08:52:16.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | manav | null | manav/dialogpt-medium-berkeley-reddit | 0 | null | transformers | 35,632 | ---
tags:
- conversational
---
## Model description
Finetuned version of DialogPT-medium released. Finetuned on data scraped from the r/Berkeley subreddit. The data wasn't thoroughly vetted so the model may display biases that I am unaware of, so tread with caution when this model until further analysis of its biases... |
manraf/DialoGPT-smmall-harrypotter | 4564dc206513a615d4e5177b0edc97c1ee73e2f7 | 2021-09-01T13:00:46.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | manraf | null | manraf/DialoGPT-smmall-harrypotter | 0 | null | transformers | 35,633 | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model |
manudotc/transformers_distilbert-base-uncased_finetuneQA_squad | d18b5315e565c30f5242035d18e39e7ecd27fc76 | 2021-04-12T07:45:36.000Z | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | manudotc | null | manudotc/transformers_distilbert-base-uncased_finetuneQA_squad | 0 | null | transformers | 35,634 | Entry not found |
manueltonneau/clinicalcovid-bert-nli | 9a0bad1bfc8238d32bc4f08784b303adb165180c | 2021-05-19T22:59:04.000Z | [
"pytorch",
"jax",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | manueltonneau | null | manueltonneau/clinicalcovid-bert-nli | 0 | null | transformers | 35,635 | Entry not found |
marcopost-it/biobert-it | d07a9c181d80bcc111d99e39feb6558be1848975 | 2022-02-16T14:15:27.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | marcopost-it | null | marcopost-it/biobert-it | 0 | null | transformers | 35,636 | Hi!
This model has been trained on Italian biomedical data.
For further information, do not hesitate to send me a message! ;)
marco.postiglione@unina.it (Marco Postiglione) |
markverschuren/bert-base-dutch-cased-finetuned-mark | e7d44e4b60332b2f0b874f4ba4dadcd91eca1464 | 2021-08-05T16:15:50.000Z | [
"pytorch",
"tensorboard",
"bert",
"fill-mask",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | fill-mask | false | markverschuren | null | markverschuren/bert-base-dutch-cased-finetuned-mark | 0 | null | transformers | 35,637 | ---
tags:
- generated_from_trainer
datasets:
- null
model_index:
- name: bert-base-dutch-cased-finetuned-mark
results:
- task:
name: Masked Language Modeling
type: fill-mask
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should prob... |
marma/wav2vec2-large-xlsr-swedish | 9d83a19efb8341e768c321b3a356227a01f93022 | 2021-07-06T12:28:48.000Z | [
"pytorch",
"jax",
"wav2vec2",
"automatic-speech-recognition",
"sv",
"dataset:common_voice",
"transformers",
"audio",
"speech",
"xlsr-fine-tuning-week",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | marma | null | marma/wav2vec2-large-xlsr-swedish | 0 | null | transformers | 35,638 | ---
language: sv
datasets:
- common_voice
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: XLSR Wav2Vec2 Swedish by Marma
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Vo... |
masa0711/sentence-bert-base-ja-mean-tokens-v2 | bc62f78a510d7f6cdf7dc33cf8942c568545ea05 | 2021-12-16T07:31:40.000Z | [
"pytorch"
] | null | false | masa0711 | null | masa0711/sentence-bert-base-ja-mean-tokens-v2 | 0 | null | null | 35,639 | Entry not found |
masakhane/m2m100_418M_fon_fr_rel_news | 5d91fd517c9f56ac64c53be53735ddab211e8f81 | 2022-04-16T18:55:19.000Z | [
"pytorch",
"m2m_100",
"text2text-generation",
"fr",
"fon",
"dataset:JW300 + [LAFAND](https://github.com/masakhane-io/lafand-mt)",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | masakhane | null | masakhane/m2m100_418M_fon_fr_rel_news | 0 | null | transformers | 35,640 | Hugging Face's logo
---
language:
- fr
- fon
datasets:
- JW300 + [LAFAND](https://github.com/masakhane-io/lafand-mt)
---
# m2m100_418M-fon-fr-mt
## Model description
**m2m100_418M-fon-fr-mt** is a **machine translation** model from Fon to French based on a fine-tuned facebook/m2m100_418M model. It establishes a **bas... |
masapasa/xls-r-300m-it-cv8 | 7b5dfc83ead625ed69ebdbbc2845326ef267526c | 2022-02-02T13:29:28.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | masapasa | null | masapasa/xls-r-300m-it-cv8 | 0 | 1 | transformers | 35,641 | language:
- it
license: apache-2.0
tags:
- robust-speech-event
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
datasets:
- common_voice
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-F... |
masapasa/xls-r-ab-test | 4e02879f5d02d18b606e94b221baddc2850461d6 | 2022-01-31T17:22:19.000Z | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"ab",
"dataset:common_voice",
"transformers",
"mozilla-foundation/common_voice_8_0",
"generated_from_trainer",
"model-index"
] | automatic-speech-recognition | false | masapasa | null | masapasa/xls-r-ab-test | 0 | 1 | transformers | 35,642 | ---
language:
- ab
tags:
- automatic-speech-recognition
- mozilla-foundation/common_voice_8_0
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: ''
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably pro... |
maximedb/mfaq-mbert | 12aa5285df0a7549edab156844d7779aea283072 | 2021-10-10T20:28:09.000Z | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | false | maximedb | null | maximedb/mfaq-mbert | 0 | null | transformers | 35,643 | Entry not found |
mbateman/distilbert-base-uncased-finetuned-imdb-accelerate | a6541566266173ec5ee0d02aa8e916ba371ae0cf | 2022-01-21T09:44:13.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | mbateman | null | mbateman/distilbert-base-uncased-finetuned-imdb-accelerate | 0 | null | transformers | 35,644 | Entry not found |
mbateman/distilbert-base-uncased-finetuned-squad-d5716d28 | 9a8119ec3269e3fa36abfab42f77826b061f81a9 | 2022-02-11T09:26:12.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"en",
"dataset:squad",
"arxiv:1910.01108",
"transformers",
"question-answering",
"license:apache-2.0",
"autotrain_compatible"
] | question-answering | false | mbateman | null | mbateman/distilbert-base-uncased-finetuned-squad-d5716d28 | 0 | null | transformers | 35,645 | ---
language:
- en
thumbnail: https://github.com/karanchahal/distiller/blob/master/distiller.jpg
tags:
- question-answering
license: apache-2.0
datasets:
- squad
metrics:
- squad
---
# DistilBERT with a second step of distillation
## Model description
This model replicates the "DistilBERT (D)" model from Table 2 of... |
mbateman/dummy-model | 0afca9c916aaea6d1a6746c35ddd54a6ab4b2c85 | 2021-11-26T07:56:14.000Z | [
"pytorch",
"camembert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | mbateman | null | mbateman/dummy-model | 0 | null | transformers | 35,646 | Entry not found |
mbateman/marian-finetuned-kde4-en-to-fr | c5b443d58bbbb8fd22cec2cfaa092c7afa0970db | 2022-01-27T17:33:02.000Z | [
"pytorch",
"tensorboard",
"marian",
"text2text-generation",
"dataset:kde4",
"transformers",
"translation",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | translation | false | mbateman | null | mbateman/marian-finetuned-kde4-en-to-fr | 0 | null | transformers | 35,647 | ---
license: apache-2.0
tags:
- translation
- generated_from_trainer
datasets:
- kde4
model-index:
- name: marian-finetuned-kde4-en-to-fr
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 r... |
mboth/sentence-eng | ade70eda561e50f36c2aa944c98394989fcdfd58 | 2021-06-25T11:41:14.000Z | [
"pytorch",
"tf",
"distilbert",
"feature-extraction",
"transformers"
] | feature-extraction | false | mboth | null | mboth/sentence-eng | 0 | 1 | transformers | 35,648 | Entry not found |
mechanicalsea/efficient-tdnn | 049a0c766f3004f2076e5ee93f68c22501ec2615 | 2021-11-25T02:11:25.000Z | [
"en",
"dataset:voxceleb1",
"dataset:voxceleb2",
"arxiv:2103.13581",
"embeddings",
"Speaker",
"Verification",
"Identification",
"NAS",
"TDNN",
"pytorch",
"license:mit"
] | null | false | mechanicalsea | null | mechanicalsea/efficient-tdnn | 0 | 2 | null | 35,649 | ---
language:
- en
license: mit
tags:
- embeddings
- Speaker
- Verification
- Identification
- NAS
- TDNN
- pytorch
datasets:
- voxceleb1
- voxceleb2
metrics:
- EER
- minDCF:
- p_target: 0.01
---
# EfficientTDNN
This repository provides all the necessary tools to perform speaker verification with a NAS alternative... |
meghana/hitalmqa-finetuned-squad | fa4e0177730c508062f20ba540f927504dc4bee3 | 2021-10-19T17:34:53.000Z | [
"pytorch",
"tensorboard",
"xlm-roberta",
"question-answering",
"transformers",
"generated_from_trainer",
"license:mit",
"model-index",
"autotrain_compatible"
] | question-answering | false | meghana | null | meghana/hitalmqa-finetuned-squad | 0 | null | transformers | 35,650 | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: hitalmqa-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 remove this comment. -->
# hitalmqa-finetune... |
mehari/mdl | 5ec0907dec8407221673c29ea767977e91966790 | 2022-05-24T07:59:48.000Z | [
"pytorch"
] | null | false | mehari | null | mehari/mdl | 0 | null | null | 35,651 | Entry not found |
mehari/troberta | 4a63649cd4fc581c916a7585a8d3d4d10a867639 | 2022-05-24T16:46:32.000Z | [
"pytorch",
"roberta",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | mehari | null | mehari/troberta | 0 | null | transformers | 35,652 | Entry not found |
melon422/DialoGPT-medium-MelonBot | a8e52014f7caf56084c9169c21e8510a97192fc3 | 2022-01-13T05:08:40.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | melon422 | null | melon422/DialoGPT-medium-MelonBot | 0 | null | transformers | 35,653 | ---
tags:
- conversational
---
# Melon Bot DialoGPT Model |
mengsay/t5-small-finetuned-gigaword | 89bfd5d4fe8105ff4ca4366bf01c8d52fcf8c24b | 2021-09-21T06:47:07.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | mengsay | null | mengsay/t5-small-finetuned-gigaword | 0 | null | transformers | 35,654 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-finetuned-gigaword
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
---
<!-- This model card has been generated automatically according to the information the Trainer had access ... |
mengsay/t5-small-t5small-gigaword | 3f8de6bb6461910242ca8b2ba7d4a5f9529df8d2 | 2021-09-23T04:37:53.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | mengsay | null | mengsay/t5-small-t5small-gigaword | 0 | null | transformers | 35,655 | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-t5small-gigaword
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.... |
metamong1/bigbart_full_tapt_ep3_bs16_pre_noam_LB | 4b2e73317d7ccc42471dd001cd17dd90d50b1a94 | 2021-12-23T13:11:38.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | metamong1 | null | metamong1/bigbart_full_tapt_ep3_bs16_pre_noam_LB | 0 | null | transformers | 35,656 | Entry not found |
metamong1/bigbart_tapt_ep3_bs16_pre_RD | 7b4e4a30f44380b0adcc0229aede561627534023 | 2021-12-23T13:42:42.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | metamong1 | null | metamong1/bigbart_tapt_ep3_bs16_pre_RD | 0 | null | transformers | 35,657 | Entry not found |
metamong1/bigbart_tapt_ep3_bs16_pre_noam | fd0009fbcd419b10a554eb1abd5ad5c8d37175e5 | 2021-12-22T16:34:23.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | metamong1 | null | metamong1/bigbart_tapt_ep3_bs16_pre_noam | 0 | null | transformers | 35,658 | Entry not found |
mhd-mst/pure-finetuning-final | 0ff6cd2f06e0a415e22cc0cc1c241ffefa8e586e | 2022-01-18T02:55:30.000Z | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | mhd-mst | null | mhd-mst/pure-finetuning-final | 0 | null | transformers | 35,659 | Entry not found |
mhd-mst/pure-finetuning5 | 68e2295a61a49dccc7f8193d1e488f7e5da8f170 | 2022-01-17T21:43:51.000Z | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | mhd-mst | null | mhd-mst/pure-finetuning5 | 0 | null | transformers | 35,660 | Entry not found |
michaelrglass/dpr-ctx_encoder-multiset-base-kgi0-trex | 402c812eef15e64c8a1f5b5752cfcf31a1310b64 | 2021-04-20T18:28:13.000Z | [
"pytorch",
"dpr",
"transformers"
] | null | false | michaelrglass | null | michaelrglass/dpr-ctx_encoder-multiset-base-kgi0-trex | 0 | 1 | transformers | 35,661 | Entry not found |
michalwilk123/distilbert-imdb-positive | 7ace22fafbea92d7e87682d7e65995712967e8e8 | 2021-05-25T19:59:11.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | michalwilk123 | null | michalwilk123/distilbert-imdb-positive | 0 | null | transformers | 35,662 | distilbert model trained on positive imdb reviews |
mictiong85/wav2vec2-base-timit-demo-colab | 2c7b6753714f803af639cfbfabae64aebf26452a | 2021-11-11T11:48:08.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index"
] | automatic-speech-recognition | false | mictiong85 | null | mictiong85/wav2vec2-base-timit-demo-colab | 0 | null | transformers | 35,663 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-timit-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. -->
# wav2... |
mimi/Waynehills-NLP-doogie-AIHub-paper-summary | 1039e161a057c4e383a93314dacedc4bdb8e01ee | 2022-01-06T08:05:30.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"generated_from_trainer",
"model-index",
"autotrain_compatible"
] | text2text-generation | false | mimi | null | mimi/Waynehills-NLP-doogie-AIHub-paper-summary | 0 | null | transformers | 35,664 | ---
tags:
- generated_from_trainer
model-index:
- name: Waynehills-NLP-doogie-AIHub-paper-summary
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. -->
# Waynehills-NL... |
mimi/Waynehills-NLP-mimi | 4a42d1d35386d0f65277d6c23ad3df32d3d3df9d | 2022-01-05T06:25:10.000Z | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | mimi | null | mimi/Waynehills-NLP-mimi | 0 | null | transformers | 35,665 | Entry not found |
minhdang241/TAPT_distillBERT | 54a60b55d32e0869bdee932386dcdc3c3a92e8c9 | 2021-04-25T23:07:02.000Z | [
"pytorch",
"distilbert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | minhdang241 | null | minhdang241/TAPT_distillBERT | 0 | null | transformers | 35,666 | Entry not found |
minhdang241/robustqa-baseline-01 | 762db47f1a7ed3c5b3e360eb31ba1d0faaa3ba55 | 2021-04-27T02:04:01.000Z | [
"pytorch",
"distilbert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | minhdang241 | null | minhdang241/robustqa-baseline-01 | 0 | null | transformers | 35,667 | Entry not found |
minimaxir/ai-generated-pokemon-rudalle | d8e77e518fe802646a5d2c2541e56641a08d1cec | 2022-01-15T01:41:47.000Z | [
"pytorch",
"en",
"rudalle",
"pokemon",
"image-generation",
"license:mit"
] | null | false | minimaxir | null | minimaxir/ai-generated-pokemon-rudalle | 0 | 9 | null | 35,668 | ---
language:
- en
tags:
- rudalle
- pokemon
- image-generation
license: mit
---
# ai-generated-pokemon-rudalle
A finetuned [ruDALL-E](https://github.com/sberbank-ai/ru-dalle) on Pokémon using the finetuning example Colab Notebook [linked in that repo](https://colab.research.google.com/drive... |
minn/my-bert-mlm | e581e4193549b938c97c7d4d6398de631f29c3e6 | 2021-10-28T15:31:19.000Z | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | false | minn | null | minn/my-bert-mlm | 0 | null | transformers | 35,669 | Entry not found |
minsiam/DialoGPT-medium-harrypotterbot | 41ae2953704a338964317cfaa588d5d7fb75157a | 2021-09-20T07:52:56.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | minsiam | null | minsiam/DialoGPT-medium-harrypotterbot | 0 | null | transformers | 35,670 | ---
tags:
- conversational
---
#Harry Potter DialoGPT-medium Model |
minwoo/myelectra-small-discriminator | 344b2a12b96c3d1517f274c15238b147b7c4fcb6 | 2020-07-25T10:29:44.000Z | [
"pytorch",
"electra",
"pretraining",
"transformers"
] | null | false | minwoo | null | minwoo/myelectra-small-discriminator | 0 | null | transformers | 35,671 | Entry not found |
mishig/tiny-layoutlmv2-tokenclassification | 5c340f7e0716d226a8de96de4ca87ba037543a22 | 2021-09-23T14:46:34.000Z | [
"pytorch"
] | null | false | mishig | null | mishig/tiny-layoutlmv2-tokenclassification | 0 | null | null | 35,672 | Entry not found |
mittalnishit/DialoGPT-medium-rickman2 | 9652b97680269861d03f5dc1991a58d290ad85c3 | 2021-06-23T08:34:00.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | mittalnishit | null | mittalnishit/DialoGPT-medium-rickman2 | 0 | null | transformers | 35,673 | ---
tags:
- conversational
---
# DialoGPT-medium-rickman2 |
mjstamper/DialoGPT-small-samwise | 648820ab6d4e74ed4328d92af04ec73bbd487838 | 2021-08-27T21:54:37.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | mjstamper | null | mjstamper/DialoGPT-small-samwise | 0 | null | transformers | 35,674 | ---
tags:
- conversational
---
# Samwise Gamgee DialoGPT Model |
mk3smo/dialogpt-med-duckfinal | 6e1592fadd0bf72207ea7641e73bbde7c8d68a14 | 2021-12-31T18:22:56.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | mk3smo | null | mk3smo/dialogpt-med-duckfinal | 0 | null | transformers | 35,675 | ---
tags:
- conversational
---
# yeah |
mklucifer/DialoGPT-small-DEADPOOL | fc917f6679cf77e3ba695606f5394a155783888a | 2021-10-27T14:25:44.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | mklucifer | null | mklucifer/DialoGPT-small-DEADPOOL | 0 | null | transformers | 35,676 | ---
tags:
- conversational
---
# DEADPOOL DialoGPT Model |
mm/roberta-base-mld | 7734edaf3598d0dc382d32a442b005c6ac35147e | 2021-05-20T17:54:53.000Z | [
"pytorch",
"jax",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | mm | null | mm/roberta-base-mld | 0 | null | transformers | 35,677 | # roberta-base-mld
This is a pretrained roberta-base model for machine learning domain documents.
|
mohamed-illiyas/wav2vec2-300m-lj-demo-colab | b9b49299c2b31a9d46251956581d065abe504e00 | 2022-02-22T03:59:55.000Z | [
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | false | mohamed-illiyas | null | mohamed-illiyas/wav2vec2-300m-lj-demo-colab | 0 | null | transformers | 35,678 | Entry not found |
mohammedks713/DialoGPT-small-harrypotter | fbe4e285da643defaa69b402433533419a06dfed | 2021-09-06T04:57:42.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | mohammedks713 | null | mohammedks713/DialoGPT-small-harrypotter | 0 | null | transformers | 35,679 | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model |
mohammedks713/DialoGPT-small-jonsnow | 71de5f4cab87a7a711b42090efca0a80a66dc36f | 2021-09-06T05:57:02.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | mohammedks713 | null | mohammedks713/DialoGPT-small-jonsnow | 0 | null | transformers | 35,680 | ---
tags:
- conversational
---
# Jon Snow DialoGPT Model |
mohsenfayyaz/BERT_Warmup | 1f68cdd0bb7e2369caa2924b0f628c46ad3f0460 | 2021-03-15T10:54:28.000Z | [
"pytorch",
"distilbert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | mohsenfayyaz | null | mohsenfayyaz/BERT_Warmup | 0 | null | transformers | 35,681 | Entry not found |
molly-hayward/bioelectra-base-discriminator | adbb2ada0be242bc9d817a8e8c6511465ef196cf | 2021-04-17T16:59:46.000Z | [
"pytorch",
"tf",
"electra",
"pretraining",
"transformers"
] | null | false | molly-hayward | null | molly-hayward/bioelectra-base-discriminator | 0 | null | transformers | 35,682 | To produce BioELECTRA, we pretrain ELECTRA on a corpus of over 20 million abstracts from PubMed.
How to use the discriminator in transformers:
from transformers import ElectraForPreTraining, ElectraTokenizerFast
import torch
discriminator = ElectraForPreTraining.from_pretrained("molly-hayward/bioelectra-b... |
molly-hayward/bioelectra-base-generator | 4838743f1ab9f08911435159aff13585e82676d5 | 2021-04-17T16:59:28.000Z | [
"pytorch",
"tf",
"electra",
"pretraining",
"transformers"
] | null | false | molly-hayward | null | molly-hayward/bioelectra-base-generator | 0 | null | transformers | 35,683 | To produce BioELECTRA, we pretrain ELECTRA on a corpus of over 20 million abstracts from PubMed.
How to use the generator in transformers:
from transformers import ElectraForMaskedLM, ElectraTokenizerFast
import torch
generator = ElectraForMaskedLM.from_pretrained("molly-hayward/bioelectra-base-generator"... |
molly-hayward/bioelectra-small-discriminator | 32a125d83287a7e2d90f889363b00e1accb886e4 | 2021-04-17T16:58:44.000Z | [
"pytorch",
"tf",
"electra",
"pretraining",
"transformers"
] | null | false | molly-hayward | null | molly-hayward/bioelectra-small-discriminator | 0 | null | transformers | 35,684 | To produce BioELECTRA, we pretrain ELECTRA on a corpus of over 20 million abstracts from PubMed.
How to use the discriminator in transformers:
from transformers import ElectraForPreTraining, ElectraTokenizerFast
import torch
discriminator = ElectraForPreTraining.from_pretrained("molly-hayward/bioelectra-s... |
molly-hayward/bioelectra-small-generator | 336833d84d466c3afacb3e143d7aa9e59d757089 | 2021-04-17T16:58:15.000Z | [
"pytorch",
"tf",
"electra",
"pretraining",
"transformers"
] | null | false | molly-hayward | null | molly-hayward/bioelectra-small-generator | 0 | null | transformers | 35,685 | To produce BioELECTRA, we pretrain ELECTRA on a corpus of over 20 million abstracts from PubMed.
How to use the generator in transformers:
from transformers import ElectraForMaskedLM, ElectraTokenizerFast
import torch
generator = ElectraForMaskedLM.from_pretrained("molly-hayward/bioelectra-small-generator... |
momo/gpt2-kiosk | 366824c536e14445c65968f5b60017bf937ccc9f | 2021-11-19T07:42:34.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | false | momo | null | momo/gpt2-kiosk | 0 | null | transformers | 35,686 | # kiosk_bot
KoGPT2를 이용한 간단한 kiosk chatbot 입니다.
데이터는 AiHub의 [한국어대화 데이터](https://aihub.or.kr/aidata/85)를 사용했습니다.
데이터는 학습만 진행하였고 공개는 하지 않습니다.
## Architecture
Hugging face의 예제들을 보며 구현하였습니다.
<img width="549" alt="gpt" src="https://user-images.githubusercontent.com/60643542/142431681-85db3d74-172d-45f0-9433-de43a8ae... |
monologg/kocharelectra-base-modu-ner-sx | 067e1489571903d85152b2676516aeef083b66f4 | 2020-12-02T23:49:27.000Z | [
"pytorch",
"electra",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | monologg | null | monologg/kocharelectra-base-modu-ner-sx | 0 | null | transformers | 35,687 | Entry not found |
monologg/koelectra-small-v3-goemotions | b70df691bc610b31dacd6189a370d35b2b58d8df | 2021-02-09T14:41:12.000Z | [
"pytorch",
"electra",
"transformers"
] | null | false | monologg | null | monologg/koelectra-small-v3-goemotions | 0 | null | transformers | 35,688 | Entry not found |
morganchen1007/layoutlmv2-finetuned-ORIfunsd-1216 | 25d80a3c099ace231d68d18efdfb658f9a439b4b | 2021-12-16T09:30:29.000Z | [
"pytorch",
"tensorboard",
"layoutlmv2",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | morganchen1007 | null | morganchen1007/layoutlmv2-finetuned-ORIfunsd-1216 | 0 | null | transformers | 35,689 | Entry not found |
morganchen1007/layoutlmv2-finetuned-funsd-test | eca83981b12969d80f4b68b60417d2b93522c222 | 2021-12-09T07:58:31.000Z | [
"pytorch",
"tensorboard",
"layoutlmv2",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | false | morganchen1007 | null | morganchen1007/layoutlmv2-finetuned-funsd-test | 0 | null | transformers | 35,690 | Entry not found |
motiondew/bert-finetuned-lr2-e5-b16-ep2 | 82bf4d3184ddf6bae4c7a66626aa4f681c58f768 | 2021-06-22T17:55:12.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | motiondew | null | motiondew/bert-finetuned-lr2-e5-b16-ep2 | 0 | null | transformers | 35,691 | Entry not found |
motiondew/bert-sd1-small | 2900c27e5fe592bf36cf57df4da1851efe44995a | 2021-07-01T09:20:36.000Z | [
"pytorch",
"bert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | motiondew | null | motiondew/bert-sd1-small | 0 | null | transformers | 35,692 | Entry not found |
mra1ster/DialoGPT_scully_small | 733233b6d892bd406e3f51d0af762e812b4e3bc3 | 2021-10-09T06:38:22.000Z | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | false | mra1ster | null | mra1ster/DialoGPT_scully_small | 0 | null | transformers | 35,693 | ---
tags:
- conversational
---
#Scully from XFiles DialoGPT model |
mrm8488/GuaPeTe-2-tiny-finetuned-TED | 0831fe9190a5b770a21938ca5e615f7f0251ee70 | 2021-05-23T10:14:53.000Z | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"es",
"transformers",
"spanish",
"gpt-2",
"spanish gpt2"
] | text-generation | false | mrm8488 | null | mrm8488/GuaPeTe-2-tiny-finetuned-TED | 0 | null | transformers | 35,694 |
---
language: es
tags:
- spanish
- gpt-2
- spanish gpt2
widget:
- text: "Ustedes tienen la oportunidad de"
---
# GuaPeTe-2-tiny fine-tuned on TED dataset for CLM |
mrm8488/albert-base-v2-finetuned-mnli-pabee | b78ead58cf2cd49272b7afeab3bc1507137f9348 | 2020-07-10T22:51:35.000Z | [
"pytorch",
"albert",
"transformers"
] | null | false | mrm8488 | null | mrm8488/albert-base-v2-finetuned-mnli-pabee | 0 | null | transformers | 35,695 | Entry not found |
mrm8488/bert2bert-small_shared-question-generation | 9e5b50f3ac94da170c4fb75ec6efc81409c84fff | 2020-12-26T12:28:08.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | mrm8488 | null | mrm8488/bert2bert-small_shared-question-generation | 0 | null | transformers | 35,696 | Entry not found |
mrm8488/bert2bert_shared-portuguese-question-generation | 5362cd0cdb479a5927e50a7304bda2b77afb9d78 | 2020-12-12T18:30:18.000Z | [
"pytorch",
"encoder-decoder",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | false | mrm8488 | null | mrm8488/bert2bert_shared-portuguese-question-generation | 0 | null | transformers | 35,697 | Entry not found |
mrm8488/codebert-finetuned-clone-detection | 80a21cef60d7680225b31398f0305e6e53aa8d0f | 2021-05-20T18:22:42.000Z | [
"pytorch",
"jax",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | false | mrm8488 | null | mrm8488/codebert-finetuned-clone-detection | 0 | 1 | transformers | 35,698 | Entry not found |
mrm8488/electra-large-finetuned-squadv1 | cc57d67e664a3116b3a8498f4a9a72744c71c1ca | 2020-07-01T10:16:16.000Z | [
"pytorch",
"electra",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | false | mrm8488 | null | mrm8488/electra-large-finetuned-squadv1 | 0 | null | transformers | 35,699 | Entry not found |
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