modelId stringlengths 4 81 | tags list | pipeline_tag stringclasses 17
values | config dict | downloads int64 0 59.7M | first_commit timestamp[ns, tz=UTC] | card stringlengths 51 438k | embedding list |
|---|---|---|---|---|---|---|---|
AUBMC-AIM/OCTaGAN | [
"license:cc-by-nc-4.0",
"has_space"
] | null | {
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"num_beams... | 0 | null | ---
language:
- en
tags:
- argumentation
license: apache-2.0
metrics:
- perplexity
---
# Generate objections to a claim
This model has the same model parameters as [`gpt-neo-2.7B`](https://huggingface.co/EleutherAI/gpt-neo-2.7B), but with an additional soft prompt which has been optimized on the task of generating... | [
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AZTEC/Arcane | [] | null | {
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"num_beams... | 0 | 2021-09-20T01:43:41Z | ---
tags:
- conversational
---
# Kokkoro DialoGPT Model | [
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AdapterHub/bert-base-uncased-pf-boolq | [
"bert",
"en",
"dataset:boolq",
"arxiv:2104.08247",
"adapter-transformers",
"text-classification",
"adapterhub:qa/boolq"
] | text-classification | {
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"num_bea... | 2 | null | # My dummy model
Welcome to my model page!
Central definition, reproducibility tips, code samples below! | [
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AdapterHub/roberta-base-pf-quail | [
"roberta",
"en",
"dataset:quail",
"arxiv:2104.08247",
"adapter-transformers"
] | null | {
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"num_... | 0 | null | ---
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... | [
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AdapterHub/roberta-base-pf-ud_en_ewt | [
"roberta",
"en",
"dataset:universal_dependencies",
"adapter-transformers",
"adapterhub:dp/ud_ewt"
] | null | {
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"num_... | 4 | null | ---
language:
- al
thumbnail: https://huggingface.co/macedonizer/al-roberta-base/lets-talk-about-nlp-al.jpg
license: apache-2.0
datasets:
- wiki-al
---
# al-gpt2
Test the whole generation capabilities here: https://transformer.huggingface.co/doc/gpt2-large
Pretrained model on English language using a causal language ... | [
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0.0... |
AigizK/wav2vec2-large-xls-r-300m-bashkir-cv7_no_lm | [] | null | {
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"num_beams... | 0 | null | ## BERT-large finetuned on MNLI.
The [reference finetuned model](https://github.com/google-research/bert) has an accuracy of 86.05, we get 86.7:
```
{'eval_loss': 0.3984006643295288, 'eval_accuracy': 0.8667345899133979}
``` | [
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0.... |
Akjder/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 8 | null | ---
language: ms
---
# albert-tiny-bahasa-cased
Pretrained ALBERT tiny language model for Malay.
## Pretraining Corpus
`albert-tiny-bahasa-cased` model was pretrained on ~1.4 Billion words. Below is list of data we trained on,
1. [cleaned local texts](https://github.com/huseinzol05/malay-dataset/tree/master/dumpin... | [
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0.001665091491304338,
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... |
AkshatSurolia/BEiT-FaceMask-Finetuned | [
"pytorch",
"beit",
"image-classification",
"dataset:Face-Mask18K",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | image-classification | {
"architectures": [
"BeitForImageClassification"
],
"model_type": "beit",
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},
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"no_repeat... | 239 | null | ---
language: ms
---
# bert-large-bahasa-cased
Pretrained BERT large language model for Malay.
## Pretraining Corpus
`bert-large-bahasa-cased` model was pretrained on ~1.4 Billion words. Below is list of data we trained on,
1. [cleaned local texts](https://github.com/huseinzol05/malay-dataset/tree/master/dumping/c... | [
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0.0058013699017465115,
... |
AkshatSurolia/ConvNeXt-FaceMask-Finetuned | [
"pytorch",
"safetensors",
"convnext",
"image-classification",
"dataset:Face-Mask18K",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | image-classification | {
"architectures": [
"ConvNextForImageClassification"
],
"model_type": "convnext",
"task_specific_params": {
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},
"summarization": {
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"max_length": null,
"min_length": null,
"n... | 56 | null | ---
language: ms
---
# bert-tiny-bahasa-cased
Pretrained BERT tiny language model for Malay.
## Pretraining Corpus
`bert-tiny-bahasa-cased` model was pretrained on ~1.4 Billion words. Below is list of data we trained on,
1. [cleaned local texts](https://github.com/huseinzol05/malay-dataset/tree/master/dumping/clea... | [
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0.0676412507891655,
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-0.030240848660469055,
0.004268284887075424,
0... |
Al/mymodel | [] | null | {
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"num_beams... | 0 | null | ---
language: ms
---
# xlnet-large-bahasa-cased
Pretrained XLNET large language model for Malay.
## Pretraining Corpus
`xlnet-large-bahasa-cased` model was pretrained on ~1.4 Billion words. Below is list of data we trained on,
1. [cleaned local texts](https://github.com/huseinzol05/malay-dataset/tree/master/dumpin... | [
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0.06026971712708473,
0.007302878424525261,
-0.023077860474586487,
0.00753839872777462,
0.... |
AlErysvi/Erys | [] | null | {
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"num_beams... | 0 | null | ---
language: ms
---
# xlnet-tiny-bahasa-cased
Pretrained XLNET tiny language model for Malay.
## Pretraining Corpus
`xlnet-tiny-bahasa-cased` model was pretrained on ~1.4 Billion words. Below is list of data we trained on,
1. [cleaned local texts](https://github.com/huseinzol05/malay-dataset/tree/master/dumping/c... | [
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0.018693832680583,
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0.06402889639139175,
0.0031319446861743927,
-0.024831075221300125,
0.007432491984218359,
... |
Alaeddin/convbert-base-turkish-ner-cased | [
"pytorch",
"convbert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"ConvBertForTokenClassification"
],
"model_type": "convbert",
"task_specific_params": {
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"n... | 9 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conl... | [
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AlanDev/test | [] | null | {
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"num_beams... | 0 | 2022-01-18T14:53:57Z | ---
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... | [
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AlbertHSU/BertTEST | [
"pytorch"
] | null | {
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"num_beams... | 8 | null | ---
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... | [
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0.05... |
Alberto15Romero/GptNeo | [] | null | {
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"num_beams... | 0 | null | ---
language:
- sci
- en
- multilingual
license: mit
tags:
- classification
- similarity
datasets:
- acl-arc
---
# Aspect-based Document Similarity for Research Papers
A `scibert-scivocab-uncased` model fine-tuned on the ACL Anthology corpus as in [Aspect-based Document Similarity for Research Papers](https://arxiv.o... | [
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... |
AlchemistDude/DialoGPT-medium-Gon | [] | null | {
"architectures": null,
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"num_beams... | 0 | 2021-11-22T10:00:43Z | ---
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).
<... | [
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Ale/Alen | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- feature-extraction
language: en
datasets:
- SciDocs
- s2orc
metrics:
- F1
- accuracy
- map
- ndcg
license: mit
---
## SciNCL
SciNCL is a pre-trained BERT language model to generate document-level embeddings of research papers.
It uses the citation graph neighborhood to generate samples for contrastive lea... | [
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0... |
Aleksandar/bert-srb-base-cased-oscar | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
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Aleksandar/bert-srb-ner-setimes-lr | [] | null | {
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Aleksandar/distilbert-srb-base-cased-oscar | [
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"no_repea... | 4 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- race
metrics:
- accuracy
model-index:
- name: t5_base_race_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 rem... | [
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Aleksandar/distilbert-srb-ner-setimes-lr | [] | null | {
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license: apache-2.0
tags:
- generated_from_trainer
datasets:
- race
metrics:
- accuracy
model-index:
- name: t5_large_race_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... | [
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Aleksandar/distilbert-srb-ner-setimes | [
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"token-classification",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | token-classification | {
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... | 3 | null | ---
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... | [
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Aleksandar/distilbert-srb-ner | [
"pytorch",
"distilbert",
"token-classification",
"sr",
"dataset:wikiann",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | token-classification | {
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"DistilBertForTokenClassification"
],
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... | 9 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: t5_small_race_mutlirc
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. ... | [
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Aleksandar/electra-srb-ner-setimes-lr | [] | null | {
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"num_beams... | 0 | null | ---
language: ga
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 Irish by Manan Dey
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset... | [
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Aleksandar/electra-srb-ner-setimes | [
"pytorch",
"electra",
"token-classification",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | token-classification | {
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"no_... | 6 | null | ---
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:
... | [
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Aleksandar/electra-srb-ner | [
"pytorch",
"safetensors",
"electra",
"token-classification",
"dataset:wikiann",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | token-classification | {
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"no_... | 15 | null | ---
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... | [
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Aleksandar/electra-srb-oscar | [
"pytorch",
"electra",
"fill-mask",
"transformers",
"generated_from_trainer",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngra... | 6 | null | ---
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... | [
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Aleksandar1932/gpt2-pop | [
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"text-generation",
"transformers"
] | text-generation | {
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],
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"no_repeat_ngram_size... | 8 | null | This a BERT-based QA model finetuned to answer causal questions. The original model this is based on can be found [here](https://huggingface.co/deepset/bert-large-uncased-whole-word-masking-squad2). Analysis of this model is associated with the work found at the following [repo](https://github.com/kstats/CausalQG). | [
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Aleksandar1932/gpt2-rock-124439808 | [
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"text-generation",
"transformers"
] | text-generation | {
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],
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"no_repeat_ngram_size... | 11 | null | ---
tags:
- conversational
---
## Model description
Finetuned version of DialogPT-large released. Finetuned on data scraped from the r/Kanye subreddit. The data wasn't thoroughly vetted so the model may display biases that I am unaware of, so tread with caution when using this model until further analysis of its bias... | [
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Aleksandar1932/gpt2-soul | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 10 | null | ---
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... | [
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adorkin/xlm-roberta-en-ru-emoji | [
"pytorch",
"safetensors",
"xlm-roberta",
"text-classification",
"en",
"ru",
"dataset:tweet_eval",
"transformers"
] | text-classification | {
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],
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... | 31 | null | ---
tags:
- conversational
---
# Michael Scott DialoGPT Bot. | [
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AlekseyKorshuk/bert | [
"pytorch",
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"transformers",
"generated_from_trainer",
"license:apache-2.0"
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... | 31 | null | ---
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... | [
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AlekseyKorshuk/comedy-scripts | [
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"no_repeat_ngram_size... | 20 | null | ---
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... | [
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Amba/wav2vec2-large-xls-r-300m-tr-colab | [] | null | {
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"num_beams... | 0 | 2021-12-10T22:52:01Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: irony_trained
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: irony
metrics:
- name: F1
... | [
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0... |
AnonymousSub/AR_rule_based_roberta_twostage_quadruplet_epochs_1_shard_10 | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
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],
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"no_repeat_ngram_size... | 2 | 2021-10-19T13:46:04Z | ---
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... | [
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AnonymousSub/EManuals_BERT_copy_wikiqa | [
"pytorch",
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] | text-classification | {
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],
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"no_rep... | 29 | 2022-01-04T20:05:26Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert-finetuned-ner
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: conll2003
type: conll2003
args: c... | [
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AnonymousSub/SR_rule_based_roberta_bert_quadruplet_epochs_1_shard_10 | [
"pytorch",
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] | feature-extraction | {
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],
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"no_repeat_ngram_size... | 2 | null | ---
language:
- sw
tags:
- NER
- token-classification
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "Wizara ya afya ya Tanzania imeripoti Jumatatu kuwa , watu takriban 14 zaidi wamepata maambukizi ya Covid - 19 ."
---
# xlm-roberta-base-finetuned-amharic-finetuned-ner-swahili
This is a ... | [
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0... |
AnonymousSub/SR_rule_based_roberta_bert_triplet_epochs_1_shard_1 | [
"pytorch",
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"transformers"
] | feature-extraction | {
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"no_repeat_ngram_size... | 2 | null | ---
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... | [
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0.035... |
AnonymousSub/SR_rule_based_roberta_hier_triplet_epochs_1_shard_10 | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"RobertaModel"
],
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"no_repeat_ngram_size... | 6 | null | ---
language:
- sw
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "Wizara ya afya ya Tanzania imeripoti Jumatatu kuwa , watu takriban 14 zaidi wamepata maambukizi ya Covid - 19 ."
---
# xlm-roberta-base-finetuned-kinyarwanda-finetuned-ner-swahili
This is a token classificatio... | [
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0.0... |
AnonymousSub/SR_rule_based_roberta_only_classfn_twostage_epochs_1_shard_1 | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"RobertaModel"
],
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"no_repeat_ngram_size... | 8 | null | ---
language:
- sw
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "Wizara ya afya ya Tanzania imeripoti Jumatatu kuwa , watu takriban 14 zaidi wamepata maambukizi ya Covid - 19 ."
---
# xlm-roberta-base-finetuned-luo-finetuned-ner-swahili
This is a token classification (speci... | [
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0.03... |
AnonymousSub/SR_rule_based_roberta_only_classfn_twostage_epochs_1_shard_10 | [
"pytorch",
"roberta",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"RobertaModel"
],
"model_type": "roberta",
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},
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"no_repeat_ngram_size... | 4 | null | ---
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-naija-finetun... | [
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AnonymousSub/SR_rule_based_roberta_twostagetriplet_epochs_1_shard_10 | [
"pytorch",
"roberta",
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"transformers"
] | feature-extraction | {
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],
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"no_repeat_ngram_size... | 4 | null | ---
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-ner-luganda
This is a token classification (specifically NER) model that fine-tuned [xlm-roberta-... | [
-0.021720031276345253,
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0.... |
AnonymousSub/SR_rule_based_twostagetriplet_epochs_1_shard_1 | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"model_type": "bert",
"task_specific_params": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": nul... | 2 | null | ---
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)... | [
-0.0411883182823658,
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0... |
AnonymousSub/SR_rule_based_twostagetriplet_hier_epochs_1_shard_1 | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
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},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": nul... | 2 | null | ---
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... | [
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0.0... |
AnonymousSub/SR_specter | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
] | feature-extraction | {
"architectures": [
"BertModel"
],
"model_type": "bert",
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},
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size": nul... | 5 | null | ---
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... | [
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0.04410494863986969,
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-0.010125532746315002,
0.03... |
AnonymousSub/SciFive_pubmedqa_question_generation | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
"task_specific_params": {
"conversational": {
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},
"summarization": {
"early_stopping": true,
"length_penalty": 2,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 7 | null | ---
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... | [
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0.... |
AnonymousSub/T5_pubmedqa_question_generation | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
"task_specific_params": {
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"max_length": null
},
"summarization": {
"early_stopping": true,
"length_penalty": 2,
"max_length": 200,
"min_length": 30,
"no_repeat_ngram_s... | 6 | null | ---
language:
- rw
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "Ambasaderi wa EU mu Rwanda , Nicola Bellomo yagize ati “ Inkunga yacu ni imwe mu nkunga yagutse yiswe # TeamEurope ."
---
# xlm-roberta-base-finetuned-swahili-finetuned-ner-kinyarwanda
This is a token classifi... | [
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AnonymousSub/bert-base-uncased_squad2.0 | [
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"no_repeat_n... | 3 | null | ---
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... | [
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AnonymousSub/bert-base-uncased_wikiqa | [
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"no_rep... | 30 | null | ---
language:
- luo
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "Jii 2 moko jowito ngimagi ka machielo 1 to ohinyore marach mokalo e masira makoch mar apaya mane otimore e apaya mawuok Oyugis kochimo Chabera e sub county ma Rachuonyo East e County ma Homa Bay ewii odhiambo ... | [
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0... |
AnonymousSub/bert_hier_diff_equal_wts_epochs_1_shard_1 | [
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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... | [
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AnonymousSub/bert_hier_diff_equal_wts_epochs_1_shard_10 | [
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language:
- sw
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "Wizara ya afya ya Tanzania imeripoti Jumatatu kuwa , watu takriban 14 zaidi wamepata maambukizi ya Covid - 19 ."
---
# xlm-roberta-base-finetuned-swahili-finetuned-ner-swahili
This is a token classification (s... | [
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0.0... |
AnonymousSub/bert_mean_diff_epochs_1_shard_1 | [
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"no_repeat_ngram_size": nul... | 6 | null | ---
language:
- wo
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "SAFIYETU BÉEY Céy Koronaa !"
---
# xlm-roberta-base-finetuned-swahili-finetuned-ner-wolof
This is a token classification (specifically NER) model that fine-tuned [xlm-roberta-base-finetuned-swahili](https://hu... | [
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0.03... |
AnonymousSub/bert_mean_diff_epochs_1_shard_10 | [
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"no_repeat_ngram_size": nul... | 4 | null | ---
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... | [
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0... |
AnonymousSub/bert_snips | [
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"no_repeat_ngram_size": nul... | 5 | null | ---
language:
- sw
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "Wizara ya afya ya Tanzania imeripoti Jumatatu kuwa , watu takriban 14 zaidi wamepata maambukizi ya Covid - 19 ."
---
# xlm-roberta-base-finetuned-wolof-finetuned-ner-swahili
This is a token classification (spe... | [
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0.035... |
AnonymousSub/bert_triplet_epochs_1_shard_1 | [
"pytorch",
"bert",
"feature-extraction",
"transformers"
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"no_repeat_ngram_size": nul... | 2 | 2021-11-16T18:04:09Z | ---
language:
- wo
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "SAFIYETU BÉEY Céy Koronaa !"
---
# xlm-roberta-base-finetuned-wolof-finetuned-ner-wolof
This is a token classification (specifically NER) model that fine-tuned [xlm-roberta-base-finetuned-wolof](https://huggin... | [
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... |
AnonymousSub/bert_triplet_epochs_1_shard_10 | [
"pytorch",
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"no_repeat_ngram_size": nul... | 1 | 2021-11-16T18:02:36Z | ---
language:
- sw
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "Wizara ya afya ya Tanzania imeripoti Jumatatu kuwa , watu takriban 14 zaidi wamepata maambukizi ya Covid - 19 ."
---
# xlm-roberta-base-finetuned-yoruba-finetuned-ner-swahili
This is a token classification (sp... | [
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AnonymousSub/cline-emanuals-s10-AR | [
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"... | 27 | null | ---
language:
- yo
tags:
- NER
datasets:
- masakhaner
metrics:
- f1
- precision
- recall
widget:
- text: "Kò sí ẹ̀rí tí ó fi ẹsẹ̀ rinlẹ̀ ."
---
# xlm-roberta-base-finetuned-yoruba-finetuned-ner-yoruba
This is a token classification (specifically NER) model that fine-tuned [xlm-roberta-base-finetuned-yoruba](https:... | [
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AnonymousSub/cline-emanuals-techqa | [
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"no_re... | 4 | 2021-05-09T20:42:12Z | # Predicting music popularity using DNNs
This is a pre-trained wav2vec2.0 model, trained on a fill Free Music Archive repository, created as part of DH-401: Digital Musicology class on EPFL
## Team
* Elisa (elisa.michelet@epfl.ch)
* Michał (michal.bien@epfl.ch)
* Noé (noe.durandard@epfl.ch)
## Milestone 3
Main not... | [
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AnonymousSub/cline-papers-biomed-0.618 | [
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"no_repeat_n... | 2 | 2021-05-09T20:41:54Z | # Predicting music popularity using DNNs
This is a model fine-tuned for music popularity classification, created as part of DH-401: Digital Musicology class on EPFL
## Team
* Elisa (elisa.michelet@epfl.ch)
* Michał (michal.bien@epfl.ch)
* Noé (noe.durandard@epfl.ch)
## Milestone 3
Main notebook presenting out resu... | [
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"no_repeat_n... | 1 | null | # RecipeNLG: A Cooking Recipes Dataset for Semi-Structured Text Generation
Model accompanying our INLG 2020 paper: [RecipeNLG: A Cooking Recipes Dataset for Semi-Structured Text Generation](https://www.aclweb.org/anthology/2020.inlg-1.4.pdf)
## Where is the dataset?
Please visit the website of our project: [recipenl... | [
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"... | 31 | null | ---
language: pl
datasets:
- common_voice
metrics:
- wer
tags:
- audio
- automatic-speech-recognition
- speech
- xlsr-fine-tuning-week
license: apache-2.0
model-index:
- name: mbien/wav2vec2-large-xlsr-polish
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
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"num_beams... | 0 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# mboth/distil-eng-quora-sentence
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for... | [
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AnonymousSub/consert-techqa | [
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"no_repeat_n... | 4 | null | ---
license: apache-2.0
tags:
- image-classification
- resnet
datasets:
- imagenet
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: https://... | [
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Sentiment analysis model based on https://huggingface.co/oliverguhr/german-sentiment-bert, with additional training on German news texts about migration.
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language:
- en
license: mit
tags:
- embeddings
- Speaker
- Verification
- Identification
- NAS
- TDNN
- pytorch
datasets:
- voxceleb1
- voxceleb2
metrics:
- EER
- minDCF:
- p_target: 0.01
---
# EfficientTDNN
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tags:
- conversational
---
# Melon Bot DialoGPT Model | [
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tags:
- conversational
---
# Melon Bot2 DialoGPT Model | [
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tags:
- flair
- token-classification
widget:
- text: "does this work"
---
## Test model README
Some test README description | [
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license: apache-2.0
tags:
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model-index:
- name: t5-small-finetuned-gigaword
results:
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name: Sequence-to-sequence Language Modeling
type: text2text-generation
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<!-- This model card has been generated automatically according to the information the Trainer had access ... | [
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license: apache-2.0
tags:
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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
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"... | 28 | null | Access to model mental/mental-bert-base-uncased is restricted and you are not in the authorized list. Visit https://huggingface.co/mental/mental-bert-base-uncased to ask for access. | [
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tags:
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- text-classification
pipeline-tag:
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---
Title | [
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"no_repeat_ngram_size... | 6 | 2021-12-11T11:48:40Z | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: merve/distilbert-base-uncased-finetuned-ner
results: []
datasets:
- "conll2003"
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
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library_name: keras
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training Metrics
Model history needed
## Model Plot
<details>
<summary>View Model Plot</summary>
![Model Image](./model.pn... | [
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tags:
- object-detection
library_name: keras
---
## Model description
This model has couple of Dense layers.
## Intended uses & limitations
It's intended to demonstrate capabilities of Hub for Keras on my blog post!
## Training and evaluation data
It's trained on dummy data.
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tags:
- asteroid
- audio
- ConvTasNet
- audio-to-audio
datasets:
- libri1mix
- enh_single
license: cc-by-sa-4.0
---
## Asteroid model `mhu-coder/ConvTasNet_Libri1Mix_enhsingle`
Imported from [Zenodo](https://zenodo.org/record/4301955#.X9cj98Jw0bY)
### Description:
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license: apache-2.0
tags:
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datasets:
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metrics:
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model-index:
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name: Image Classification
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tags:
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---
# Discord DialoGPT Model | [
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tags:
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- pytorch
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metrics:
- accuracy
model-index:
- name: dwarf-goats
results:
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name: Image Classification
type: image-classification
metrics:
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type: accuracy
value: 0.6111111044883728
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# dwarf-goats
Autogene... | [
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gaurishhs/API | [] | null | {
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language: en
tags:
- exbert
license: mit
widget:
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---
## PubMedBERT (abstracts + full text)
Pretraining large neural language models, such as BERT, has led to impressive gains on many natural language processing (NLP) tasks. However, most pretraining efforts focus on ge... | [
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language: en
tags:
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license: mit
widget:
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---
## PubMedBERT (abstracts only)
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thumbnail: https://huggingface.co/front/thumbnails/dialogpt.png
tags:
- conversational
license: mit
---
## A State-of-the-Art Large-scale Pretrained Response generation model (DialoGPT)
DialoGPT is a SOTA large-scale pretrained dialogue response generation model for multiturn conversations.
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0.02303631417453289,
... |
ArBert/albert-base-v2-finetuned-ner-agglo | [
"pytorch",
"tensorboard",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
"task_specific_params": {
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"max_length": null
},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 8 | null | ---
thumbnail: https://huggingface.co/front/thumbnails/dialogpt.png
tags:
- conversational
license: mit
---
## A State-of-the-Art Large-scale Pretrained Response generation model (DialoGPT)
DialoGPT is a SOTA large-scale pretrained dialogue response generation model for multiturn conversations.
The [human evaluation... | [
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ArBert/albert-base-v2-finetuned-ner-gmm-twitter | [
"pytorch",
"tensorboard",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_re... | 8 | null | ---
thumbnail: https://huggingface.co/front/thumbnails/dialogpt.png
tags:
- conversational
license: mit
---
## A State-of-the-Art Large-scale Pretrained Response generation model (DialoGPT)
DialoGPT is a SOTA large-scale pretrained dialogue response generation model for multiturn conversations.
The [human evaluation... | [
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ArBert/albert-base-v2-finetuned-ner-kmeans-twitter | [
"pytorch",
"tensorboard",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
"task_specific_params": {
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},
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"max_length": null,
"min_length": null,
"no_re... | 10 | 2020-10-07T21:51:01Z | # Demo
Please try this [➤➤➤ Colab Notebook Demo (click me!)](https://colab.research.google.com/drive/1cAtfkbhqsRsT59y3imjR1APw3MHDMkuV?usp=sharing)
| Context | Response | `human_vs_machine` score |
| :------ | :------- | :------------: |
| I love NLP! | I'm not sure if it's a good idea. | 0.000 |
| I love NLP!... | [
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ArBert/albert-base-v2-finetuned-ner-kmeans | [
"pytorch",
"tensorboard",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
"task_specific_params": {
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},
"summarization": {
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 8 | null | # Demo
Please try this [➤➤➤ Colab Notebook Demo (click me!)](https://colab.research.google.com/drive/1cAtfkbhqsRsT59y3imjR1APw3MHDMkuV?usp=sharing)
| Context | Response | `human_vs_rand` score |
| :------ | :------- | :------------: |
| I love NLP! | He is a great basketball player. | 0.027 |
| I love NLP! | C... | [
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0.04... |
ArBert/albert-base-v2-finetuned-ner | [
"pytorch",
"tensorboard",
"albert",
"token-classification",
"dataset:conll2003",
"transformers",
"generated_from_trainer",
"license:apache-2.0",
"model-index",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"AlbertForTokenClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 19 | null | # Demo
Please try this [➤➤➤ Colab Notebook Demo (click me!)](https://colab.research.google.com/drive/1cAtfkbhqsRsT59y3imjR1APw3MHDMkuV?usp=sharing)
| Context | Response | `updown` score |
| :------ | :------- | :------------: |
| I love NLP! | Here’s a free textbook (URL) in case anyone needs it. | 0.613 |
| I... | [
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Araf/Ummah | [] | null | {
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"num_beams... | 0 | null | # COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
This model card contains the COCO-LM model (**large++** version) proposed in [this paper](https://arxiv.org/abs/2102.08473). The official GitHub repository can be found [here](https://github.com/microsoft/COCO-LM).
# Citation
If you f... | [
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0.0... |
AragornII/DialoGPT-small-harrypotter | [] | null | {
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"num_beams... | 0 | null | ## CodeBERT-base-mlm
Pretrained weights for [CodeBERT: A Pre-Trained Model for Programming and Natural Languages](https://arxiv.org/abs/2002.08155).
### Training Data
The model is trained on the code corpus of [CodeSearchNet](https://github.com/github/CodeSearchNet)
### Training Objective
This model is initialized wi... | [
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Aran/DialoGPT-medium-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 8 | null | ## CodeBERT-base
Pretrained weights for [CodeBERT: A Pre-Trained Model for Programming and Natural Languages](https://arxiv.org/abs/2002.08155).
### Training Data
The model is trained on bi-modal data (documents & code) of [CodeSearchNet](https://github.com/github/CodeSearchNet)
### Training Objective
This model is i... | [
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... |
ArnaudPannatier/MLPMixer | [] | null | {
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},
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"num_beams... | 0 | null | # LayoutLM
Multimodal (text + layout/format + image) pre-training for document AI
[Microsoft Document AI](https://www.microsoft.com/en-us/research/project/document-ai/) | [GitHub](https://aka.ms/layoutlm)
## Model description
LayoutLM is a simple but effective pre-training method of text and layout for document imag... | [
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Arnold/common_voiceha | [] | null | {
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"num_beams... | 0 | null | ---
language: en
license: cc-by-nc-sa-4.0
---
# LayoutLMv2
**Multimodal (text + layout/format + image) pre-training for document AI**
The documentation of this model in the Transformers library can be found [here](https://huggingface.co/docs/transformers/model_doc/layoutlmv2).
[Microsoft Document AI](https://www.mi... | [
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0... |
ArpanZS/search_model | [
"joblib"
] | null | {
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"num_beams... | 0 | null | ---
language: en
datasets:
- cnn_dailymail
---
## prophetnet-large-uncased-cnndm
Fine-tuned weights(converted from [original fairseq version repo](https://github.com/microsoft/ProphetNet)) for [ProphetNet](https://arxiv.org/abs/2001.04063) on summarization task CNN/DailyMail.
ProphetNet is a new pre-trained language... | [
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0.042... |
Arpita/opus-mt-en-ro-finetuned-syn-to-react | [
"pytorch",
"tensorboard",
"marian",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"MarianMTModel"
],
"model_type": "marian",
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},
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"no_repeat_ngram_size... | 9 | null | ---
language: en
datasets:
- squad
---
##
prophetnet-large-uncased-squad-qg
Fine-tuned weights(converted from [original fairseq version repo](https://github.com/microsoft/ProphetNet)) for [ProphetNet](https://arxiv.org/abs/2001.04063) on question generation
SQuAD 1.1.
ProphetNet is a new pre-trained language model... | [
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Arpita/opus-mt-en-ro-finetuned-synthon-to-reactant | [] | null | {
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"num_beams... | 0 | null | ---
language: en
---
## prophetnet-large-uncased
Pretrained weights for [ProphetNet](https://arxiv.org/abs/2001.04063).
ProphetNet is a new pre-trained language model for sequence-to-sequence learning with a novel self-supervised objective called future n-gram prediction.
ProphetNet is able to predict more future ... | [
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ArshdeepSekhon050/DialoGPT-medium-RickAndMorty | [] | null | {
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license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-21k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: http... | [
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0.053... |
ArtemisZealot/DialoGTP-small-Qkarin | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 9 | null | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: https... | [
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ArthurBaia/bert-base-portuguese-cased-finetuned-squad | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-21k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: http... | [
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Aruden/DialoGPT-medium-harrypotterall | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 6 | null | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-21k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: http... | [
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0.053... |
ArvinZhuang/BiTAG-t5-large | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
"T5ForConditionalGeneration"
],
"model_type": "t5",
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},
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"length_penalty": 2,
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"min_length": 30,
"no_repeat_ngram_s... | 4 | null | ---
license: apache-2.0
tags:
- vision
- image-classification
datasets:
- imagenet-1k
widget:
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
example_title: Tiger
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
example_title: Teapot
- src: https... | [
-0.06646627187728882,
-0.00970439426600933,
-0.006972519215196371,
0.046063024550676346,
0.009815705008804798,
0.009443921968340874,
-0.017433740198612213,
0.0018187204841524363,
0.003336763009428978,
0.06860625743865967,
0.022760404273867607,
0.004574318416416645,
0.010770405642688274,
0.... |
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