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 |
|---|---|---|---|---|---|---|---|
Baybars/debateGPT | [] | null | {
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"num_beams... | 0 | 2022-06-16T23:34:56Z | ---
tags:
- fastai
---
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit u... | [
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Baybars/wav2vec2-xls-r-1b-turkish | [
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] | automatic-speech-recognition | {
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"no_repeat_ngram_s... | 13 | null | ---
tags:
- summarization
- ur
- seq2seq
- mbart
- Abstractive Summarization
- generated_from_trainer
datasets:
- xlsum
model-index:
- name: MBart-finetuned-ur-xlsum
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proof... | [
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BenDavis71/GPT-2-Finetuning-AIRaid | [
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"no_repeat_ngram_size... | 10 | null | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
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BhanuSama/gpt2-finetuned-xsum | [] | null | {
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language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
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widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
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Bharathdamu/wav2vec2-model-hindibhasha | [] | null | {
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---
license: cc-by-4.0
metrics:
- bleu4
- meteor
- rouge-l
- bertscore
- moverscore
language: en
datasets:
- lmqg/qg_squadshifts
pipeline_tag: text2text-generation
tags:
- question generation
widget:
- text: "generate question: <hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James i... | [
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BigSalmon/Flowberta | [
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"no_repeat_ngra... | 13 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
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metrics:
- accuracy
model-index:
- name: wikitext_roberta-base
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: wikitext wikitext-2-raw-v1
type: wikitext
args: wikitext-2-raw-v1
m... | [
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BigSalmon/MrLincoln | [
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"transformers"
] | text-generation | {
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"no_repeat_ngram_size... | 7 | 2022-06-17T07:31:57Z | ---
tags:
- bert
- oBERT
- sparsity
- pruning
- compression
language: en
datasets: qqp
---
# oBERT-12-upstream-pruned-unstructured-97-finetuned-qqp-v2
This model is obtained with [The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models](https://arxiv.org/abs/2203.07259).
It cor... | [
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BigSalmon/MrLincoln5 | [
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"no_repeat_ngram_size... | 9 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: M5_MLM
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. -->
# M5_MLM
This model is a fine-tuned ... | [
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BlueGamerBeast/DialoGPT-small-joshua | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
---
klue-bert-base에 스마일게이트 욕설데이터를 FineTune한 모델입니다. | [
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BrunoNogueira/DialoGPT-kungfupanda | [
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"no_repeat_ngram_size... | 10 | null | ---
license: apache-2.0
tags:
- object-detection
- face-mask-detection
datasets:
- coco
- face-mask-detection
widget:
- src: https://drive.google.com/uc?id=1VwYLbGak5c-2P5qdvfWVOeg7DTDYPbro
example_title: "City Folk"
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/football-match.jpg
example... | [
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BunakovD/sd | [] | null | {
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license: apache-2.0
tags:
- generated_from_trainer
datasets:
- conll2003
model-index:
- name: bert-finetuned-ner
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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Buntan/bert-finetuned-ner | [
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"no_repeat... | 8 | null | ---
tags:
- flax
---
# Model Card for flax-tiny-random-bert-sharded
# Model Details
## Model Description
This model is used to check that the sharding of a flax_model works properly. See [`test_checkpoint_sharding_from_hub`](https://github.com/huggingface/transformers/blob/main/tests/test_modeling_flax_common.py#L... | [
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CALM/backup | [
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license: apache-2.0
tags:
- generated_from_trainer
datasets:
- ascend
model-index:
- name: wav2vec2-large-xlsr-53-Enlgish-FT-ASCEND-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, th... | [
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CAMeL-Lab/bert-base-arabic-camelbert-ca-pos-msa | [
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"no_repeat... | 71 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: BeardedJohn/bert-finetuned-seq-classification-fake-news
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove... | [
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CAMeL-Lab/bert-base-arabic-camelbert-ca | [
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"transformers",
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"no_repeat_ngram_size... | 580 | null | ---
language: en
thumbnail: http://www.huggingtweets.com/hillaryclinton/1672988569477/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
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CAMeL-Lab/bert-base-arabic-camelbert-da-pos-egy | [
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"no_repeat... | 32 | null | ---
language: en
thumbnail: http://www.huggingtweets.com/pdchina/1655488982839/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
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CAMeL-Lab/bert-base-arabic-camelbert-da-pos-glf | [
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"ar",
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"no_repeat... | 54 | null | ---
tags:
- summarization
- Mbart
- seq2seq
- es
- abstractive summarization
- generated_from_trainer
datasets:
- wiki_lingua
model-index:
- name: MBART-finetuned-Spanish
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably ... | [
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CAMeL-Lab/bert-base-arabic-camelbert-da-pos-msa | [
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"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 27 | null | ---
library_name: stable-baselines3
tags:
- VideoPinball-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: DQN
results:
- metrics:
- type: mean_reward
value: 8997.20 +/- 6190.02
name: mean_reward
task:
type: reinforcement-learning
name... | [
-0.03406780958175659,
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0.04678116366267204,
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0.054132893681526184,
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CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus26 | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
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},
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"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 45 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
met... | [
-0.01424695085734129,
-0.010866322554647923,
-0.029746364802122116,
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0.06498830020427704,
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-0.017854010686278343,
0.019974995404481888,
0.042... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-msa | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 1,862 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- spearmanr
model-index:
- name: M6_cross
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. -->
# M6_cr... | [
-0.03270553797483444,
0.0025528636761009693,
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0.04186156019568443,
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0.0008349102572537959,
... |
CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 855 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# gemasphi/laprador
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 tasks like cl... | [
-0.03483588248491287,
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0.0843396782875061,
0.03605719655752182,
0.012044321745634079,
-0.0007843052153475583,
0.0... |
CAMeL-Lab/bert-base-arabic-camelbert-msa-eighth | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 21 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- spearmanr
model-index:
- name: M1_MLM_cross
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. -->
# M... | [
-0.03896915912628174,
-0.011293855495750904,
-0.018325086683034897,
0.047665294259786606,
0.030685586854815483,
0.01217182818800211,
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-0.038812823593616486,
0.04933904483914375,
0.02645101211965084,
-0.03208368271589279,
-0.005044574849307537,
0... |
CAMeL-Lab/bert-base-arabic-camelbert-msa-poetry | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:1905.05700",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 25 | null | ---
language: en
thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4... | [
0.01034911535680294,
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0.03773300722241402,
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-0.009077584370970726,
0.003205413231626153,
0.0... |
CAMeL-Lab/bert-base-arabic-camelbert-msa-quarter | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 12 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- superb
model-index:
- name: wav2vec2-base-dataset_asr-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 ... | [
-0.03753730282187462,
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0.01628195121884346,
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0.03812433034181595,
0.03635459020733833,
-0.013388262130320072,
-0.012493112124502659,
0.0... |
CAMeL-Lab/bert-base-arabic-camelbert-msa-sentiment | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 574 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- metrics:
- type: mean_reward
value: 7.56 +/- 2.71
name: mean_reward
task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Tax... | [
-0.021941279992461205,
-0.015145611017942429,
-0.006997706368565559,
0.029279308393597603,
0.046246517449617386,
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0.0010477942414581776,
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0.055325765162706375,
0.012477298267185688,
-0.015154773369431496,
0.009662222117185593,... |
CAMeL-Lab/bert-base-arabic-camelbert-msa | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 2,967 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- xtreme
metrics:
- f1
model-index:
- name: xlm-roberta-base-finetuned-panx-de
results:
- task:
name: Token Classification
type: token-classification
dataset:
name: xtreme
type: xtreme
args: PAN-X.de
metrics:
- name:... | [
-0.02285177633166313,
-0.0029209493659436703,
0.006041921209543943,
0.020610405132174492,
0.029006201773881912,
0.025830013677477837,
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0.04948452487587929,
0.021983342245221138,
-0.04665680602192879,
0.009086270816624165,
... |
CAUKiel/JavaBERT-uncased | [
"pytorch",
"safetensors",
"bert",
"fill-mask",
"java",
"code",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
tags:
- generated_from_trainer
model-index:
- name: tmp_trainer
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. -->
# tmp_trainer
This model was trained from sc... | [
-0.032461944967508316,
-0.006643582135438919,
-0.016733966767787933,
0.046452801674604416,
0.035561829805374146,
0.03204837813973427,
0.00872876401990652,
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0.05162881687283516,
0.0439676009118557,
-0.00959147047251463,
0.003668838646262884,
0.045... |
CBreit00/DialoGPT_small_Rick | [] | null | {
"architectures": null,
"model_type": null,
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat_ngram_size": null,
"num_beams... | 0 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# gemasphi/laprador_f
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 tasks like ... | [
-0.0351836234331131,
-0.01795848086476326,
-0.018081847578287125,
0.05109904333949089,
0.011657453142106533,
0.04366309195756912,
-0.018922273069620132,
-0.0026712659746408463,
-0.07218782603740692,
0.08388618379831314,
0.03653264045715332,
0.012170135043561459,
-0.0007371679530479014,
0.0... |
dccuchile/albert-base-spanish-finetuned-xnli | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no... | 28 | null | ---
tags:
- generated_from_keras_callback
model-index:
- name: tensorflow_classification
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# tensorflow_classification
T... | [
-0.03547787293791771,
-0.019144494086503983,
-0.006593708880245686,
0.04443889111280441,
0.03414567932486534,
0.022660039365291595,
-0.014596337452530861,
0.0031463257037103176,
-0.020840082317590714,
0.04555226117372513,
0.021166179329156876,
-0.0007906985701993108,
0.013851411640644073,
... |
dccuchile/albert-large-spanish-finetuned-qa-mlqa | [
"pytorch",
"albert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"AlbertForQuestionAnswering"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 5 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- spearmanr
model-index:
- name: M6_MLM_cross
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. -->
# M... | [
-0.045737896114587784,
-0.012818166054785252,
-0.01013160590082407,
0.045517779886722565,
0.028991106897592545,
0.0036730843130499125,
-0.024124231189489365,
-0.01754036173224449,
-0.04055874049663544,
0.04234961047768593,
0.022518854588270187,
-0.04010831192135811,
-0.0073282551020383835,
... |
dccuchile/albert-tiny-spanish-finetuned-qa-mlqa | [
"pytorch",
"albert",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"AlbertForQuestionAnswering"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repe... | 7 | null | ---
language: en
thumbnail: http://www.huggingtweets.com/andrewdoyle_com-conceptualjames-titaniamcgrath/1655543501221/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margi... | [
0.00806404184550047,
-0.03798501193523407,
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0.043378330767154694,
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0.034714844077825546,
0.012664317153394222,
-0.010818548500537872,
-0.005013791844248772,
0.... |
dccuchile/albert-xlarge-spanish-finetuned-pawsx | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no... | 24 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-timit-demo-google-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. -->
... | [
-0.03555605933070183,
-0.011981865391135216,
-0.025567984208464622,
0.018225688487291336,
0.037929046899080276,
0.030447090044617653,
0.009876346215605736,
0.001422394416294992,
-0.03779628872871399,
0.04526744782924652,
0.0380389429628849,
-0.016149936243891716,
0.007874257862567902,
0.02... |
dccuchile/albert-xlarge-spanish-finetuned-xnli | [
"pytorch",
"albert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"AlbertForSequenceClassification"
],
"model_type": "albert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no... | 29 | null | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- metrics:
- type: mean_reward
value: 1.00 +/- 0.00
name: mean_reward
task:
type: reinforcement-learning
name: reinforc... | [
-0.01849183812737465,
-0.017528608441352844,
-0.006158904172480106,
0.033877551555633545,
0.05095595493912697,
-0.018747666850686073,
-0.011324340477585793,
-0.014344921335577965,
-0.06311867386102676,
0.05536646395921707,
-0.004166943486779928,
-0.013430293649435043,
0.02025521732866764,
... |
dccuchile/albert-xxlarge-spanish-finetuned-ner | [
"pytorch",
"albert",
"token-classification",
"transformers",
"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... | 28 | null | ---
language:
- "ja"
tags:
- "japanese"
- "question-answering"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "cc-by-sa-4.0"
pipeline_tag: "question-answering"
inference:
parameters:
align_to_words: false
widget:
- text: "国語"
context: "全学年にわたって小学校の国語の教科書に挿し絵が用いられている"
- text: "教科書"
contex... | [
-0.008665604516863823,
-0.045646339654922485,
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dccuchile/albert-xxlarge-spanish-finetuned-pos | [
"pytorch",
"albert",
"token-classification",
"transformers",
"autotrain_compatible"
] | token-classification | {
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"no_re... | 3 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, the... | [
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dccuchile/bert-base-spanish-wwm-cased-finetuned-pos | [
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] | token-classification | {
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"no_repeat... | 1 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- swiss_judgment_prediction
metrics:
- accuracy
model-index:
- name: xlm-roberta-large-xnli-finetuned-mnli-SJP-v2
results:
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name: Text Classification
type: text-classification
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name: swiss_judgment_prediction
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"no_rep... | 28 | 2022-06-18T12:12:41Z | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-test-amazon-v2
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... | [
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dccuchile/bert-base-spanish-wwm-uncased-finetuned-ner | [
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"no_repeat... | 5 | null | ---
license: apache-2.0
tags:
- gen_ffa
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: ff_analysis_5
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 co... | [
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dccuchile/bert-base-spanish-wwm-uncased-finetuned-pawsx | [
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"no_rep... | 24 | null | # poetry-generation-firstline-mbart-all-fi-unsorted
* `firstline`: generates the first poem line from keywords
* `mbart`: base model is [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25)
* `all`: trained on data from Project Gutenberg, Wikisource, Poesia publishing house
* `fi`: Finnish ... | [
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dccuchile/distilbert-base-spanish-uncased-finetuned-pawsx | [
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... | 29 | null |
---
license: cc-by-4.0
metrics:
- bleu4
- meteor
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- bertscore
- moverscore
language: en
datasets:
- lmqg/qg_squadshifts
pipeline_tag: text2text-generation
tags:
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dccuchile/distilbert-base-spanish-uncased-finetuned-qa-mlqa | [
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] | question-answering | {
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... | 5 | null |
---
license: cc-by-4.0
metrics:
- bleu4
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- moverscore
language: en
datasets:
- lmqg/qg_subjqa
pipeline_tag: text2text-generation
tags:
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dccuchile/distilbert-base-spanish-uncased | [
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"es",
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"spanish",
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] | fill-mask | {
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"no_repea... | 670 | null |
---
license: cc-by-4.0
metrics:
- bleu4
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- bertscore
- moverscore
language: en
datasets:
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pipeline_tag: text2text-generation
tags:
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CennetOguz/distilbert-base-uncased-finetuned-recipe-accelerate-1 | [
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"no_repea... | 1 | null |
---
license: cc-by-4.0
metrics:
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language: en
datasets:
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pipeline_tag: text2text-generation
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CennetOguz/distilbert-base-uncased-finetuned-recipe-accelerate | [
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"no_repea... | 7 | null |
---
license: cc-by-4.0
metrics:
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language: en
datasets:
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Certified-Zoomer/DialoGPT-small-rick | [] | null | {
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---
license: cc-by-4.0
metrics:
- bleu4
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- bertscore
- moverscore
language: en
datasets:
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pipeline_tag: text2text-generation
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Chae/botman | [
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] | conversational | {
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"no_repeat_ngram_size... | 5 | null |
---
license: cc-by-4.0
metrics:
- bleu4
- meteor
- rouge-l
- bertscore
- moverscore
language: en
datasets:
- lmqg/qg_subjqa
pipeline_tag: text2text-generation
tags:
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widget:
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Chaewon/mnmt_decoder_en | [
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] | text-generation | {
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"no_repeat_ngram_size... | 8 | null |
---
license: cc-by-4.0
metrics:
- bleu4
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language: en
datasets:
- lmqg/qg_subjqa
pipeline_tag: text2text-generation
tags:
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Chaima/TunBerto | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- summarization
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metrics:
- rouge
model-index:
- name: mt5-small-test-ged-RAW_data_prep_2021_12_26___t1_7.csv_max_target_length_10
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
sh... | [
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chainyo/speaker-recognition-meetup | [] | null | {
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license: mit
tags:
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metrics:
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model-index:
- name: bart-cnn-science-v4-e6-manual
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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ChaitanyaU/FineTuneLM | [] | null | {
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---
license: cc-by-4.0
metrics:
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language: en
datasets:
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Chakita/KNUBert | [
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] | fill-mask | {
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---
license: cc-by-4.0
metrics:
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language: en
datasets:
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tags:
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Chakita/KROBERT | [
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] | fill-mask | {
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"no_repeat_ngra... | 7 | null | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-amazon-en-de
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, th... | [
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Chakita/Kalbert | [
"pytorch",
"tensorboard",
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"fill-mask",
"transformers",
"generated_from_trainer",
"license:mit",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_... | 5 | null | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- metrics:
- type: mean_reward
value: 1.00 +/- 0.00
name: mean_reward
task:
type: reinforcement-learning
name: reinforc... | [
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Champion/test_upload_vox2_wavlm_epoch8 | [
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] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-cnn-science-v3-e5-v4-e6-manual
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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CharlieChen/feedback-bigbird | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-cnn-science-v3-e2-v4-e4-manual
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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Charlotte77/model_test | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- mlsum
metrics:
- rouge
model-index:
- name: mt5-small-test-ged-mlsum_max_target_length_10
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: mlsum
type:... | [
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Cheatham/xlm-roberta-large-finetuned-d12 | [
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] | text-classification | {
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... | 20 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: AmitBHuji/mt5-small-finetuned-mt5-simplification-1epoch
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove... | [
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Chertilasus/main | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-cnn-science-v3-e1-v4-e4-manual
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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Chikita1/www_stash_stock | [
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] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-hindi-epochs15-colab
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete ... | [
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Chiuchiyin/DialoGPT-small-Donald | [
"pytorch",
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"text-generation",
"transformers",
"conversational"
] | conversational | {
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],
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"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- swiss_judgment_prediction
model-index:
- name: xlm-roberta-large-xnli-finetuned-mnli-SJP-v3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and compl... | [
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ChrisP/xlm-roberta-base-finetuned-marc-en | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-cnn-science-v3-e2-v4-e2-manual
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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ChristopherA08/IndoELECTRA | [
"pytorch",
"electra",
"pretraining",
"id",
"dataset:oscar",
"transformers"
] | null | {
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"ElectraForPreTraining"
],
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},
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"min_length": null,
"no_repeat_n... | 4 | null | ---
language: en
thumbnail: http://www.huggingtweets.com/svelounsegreto/1655577065862/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; ... | [
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Chun/DialoGPT-small-dailydialog | [
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] | text-generation | {
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"no_repeat_ngram_size... | 10 | null | ---
tags:
- summarization
- ar
- seq2seq
- mbart
- Abstractive Summarization
- generated_from_trainer
datasets:
- xlsum
model-index:
- name: mbart-finetune-ar-xlsum
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofr... | [
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Cometasonmi451/Mine | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-noSlippery
results:
- metrics:
- type: mean_reward
value: 1.00 +/- 0.00
name: mean_reward
task:
type: reinforcement-learning
name: reinforc... | [
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DJSammy/bert-base-danish-uncased_BotXO-ai | [
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"jax",
"da",
"dataset:common_crawl",
"dataset:wikipedia",
"transformers",
"bert",
"masked-lm",
"license:cc-by-4.0",
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] | fill-mask | {
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"num_beams... | 14 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- metrics:
- type: mean_reward
value: 7.56 +/- 2.71
name: mean_reward
task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Tax... | [
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Davlan/xlm-roberta-base-finetuned-swahili | [
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"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repe... | 40 | null | ---
tags:
- conversational
---
# Billy DialoGPT Model | [
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DecafNosebleed/DialoGPT-small-ScaraBot | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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],
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"min_length": null,
"no_repeat_ngram_size... | 15 | null | ---
tags:
- generated_from_trainer
datasets:
- uob_singlish
model-index:
- name: Malaya-speech_fine-tune_MrBrown_20_Jun
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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Declan/Breitbart_model_v3 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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],
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"min_length": null,
"no_repeat_ngram_size... | 7 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wmt16
metrics:
- bleu
model-index:
- name: opus-mt-en-ro-finetuned-en-to-ro
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: wmt16
type: wmt16
args: ro-en
m... | [
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Declan/Breitbart_model_v4 | [
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"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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],
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"no_repeat_ngram_size... | 3 | null | ---
language:
- fr
tags:
- nli
metrics:
- f1
---
## Eval results
We obtain the following results on ```validation``` and ```test``` sets:
| Set | F1<sub>micro</sub> | F1<sub>macro</sub> |
|------------|--------------------|--------------------|
| validation | 78.3 | 78.3 |
| test ... | [
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Declan/ChicagoTribune_model_v3 | [
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"autotrain_compatible"
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"no_repeat_ngram_size... | 3 | null | Access to model Vatho/wav2vec-Khmer is restricted and you are not in the authorized list. Visit https://huggingface.co/Vatho/wav2vec-Khmer to ask for access. | [
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Declan/ChicagoTribune_model_v7 | [
"pytorch",
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"no_repeat_ngram_size... | 7 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- food101
metrics:
- accuracy
model-index:
- name: swin-finetuned-food101
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: food101
type: food101
args: default
metrics:
- na... | [
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Declan/FoxNews_model_v3 | [
"pytorch",
"bert",
"fill-mask",
"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngram_size... | 7 | null | ---
tags:
- generated_from_trainer
datasets:
- orange_sum
metrics:
- rouge
model-index:
- name: bert2gpt2SUMM-finetuned-mlsum-finetuned-mlorange_sum
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: orange_sum
type: orange_sum
a... | [
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Declan/FoxNews_model_v4 | [
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"no_repeat_ngram_size... | 7 | null | ---
language:
- fr
tags:
- nli
metrics:
- f1
---
## Eval results
We obtain the following results on ```validation``` and ```test``` sets:
| Set | F1<sub>micro</sub> | F1<sub>macro</sub> |
|------------|--------------------|--------------------|
| validation | 75.4 | 75.4 |
| test ... | [
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"no_repeat_ngram_size... | 3 | null | ---
library_name: stable-baselines3
tags:
- Centipede-v4
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 3790.10 +/- 1858.94
name: mean_reward
task:
type: reinforcement-learning
name: r... | [
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Declan/HuffPost_model_v6 | [
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"autotrain_compatible"
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"no_repeat_ngram_size... | 9 | null |
---
license: cc-by-4.0
metrics:
- bleu4
- meteor
- rouge-l
- bertscore
- moverscore
language: en
datasets:
- lmqg/qg_squadshifts
pipeline_tag: text2text-generation
tags:
- question generation
widget:
- text: "generate question: <hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James i... | [
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Declan/Independent__model | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- fastai
- image-classification
---
# Model card
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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tags:
- generated_from_trainer
datasets:
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model-index:
- name: bert-base-parsbert-uncased-finetuned-perQA
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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Declan/NewYorkPost_model_v1 | [] | null | {
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license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: lmchion/bert-base-finetuned-esg-a4s
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
... | [
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Declan/Politico_model_v2 | [
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---
license: cc-by-4.0
metrics:
- bleu4
- meteor
- rouge-l
- bertscore
- moverscore
language: en
datasets:
- lmqg/qg_subjqa
pipeline_tag: text2text-generation
tags:
- question generation
widget:
- text: "generate question: <hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the... | [
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Dhito/am | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- Taxi-v3
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-Taxi-v3
results:
- metrics:
- type: mean_reward
value: 7.56 +/- 2.71
name: mean_reward
task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: Tax... | [
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albert-base-v1 | [
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"fill-mask",
"en",
"dataset:bookcorpus",
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"arxiv:1909.11942",
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"no_repeat_ngram_... | 38,156 | 2022-06-21T07:38:19Z | ---
language:
- "ja"
tags:
- "japanese"
- "wikipedia"
- "question-answering"
- "dependency-parsing"
datasets:
- "universal_dependencies"
license: "cc-by-sa-4.0"
pipeline_tag: "question-answering"
inference:
parameters:
align_to_words: false
widget:
- text: "国語"
context: "全学年にわたって小学校の国語の教科書に挿し絵が用いられている"
- text: ... | [
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albert-large-v1 | [
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"no_repeat_ngram_... | 687 | 2022-06-21T07:46:46Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
args: plus
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albert-xlarge-v1 | [
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"no_repeat_ngram_... | 341 | 2022-06-21T07:53:13Z | ---
tags:
- dna
- human_genome
---
# GENA-LM
GENA-LM is a transformer masked language model trained on human DNA sequence.
Differences between GENA-LM and DNABERT:
- BPE tokenization instead of k-mers;
- input sequence size is about 3000 nucleotides (512 BPE tokens) compared to 510 nucleotides of DNABERT
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"no_repeat_ngram_... | 2,973 | 2022-06-21T07:55:37Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- Pyramids
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Te... | [
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"no_repeat_ngram_size... | 175,983 | 2022-06-21T08:27:12Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- Pyramids
library_name: ml-agents
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Librar... | [
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"no_repeat_ngram_size... | 68,305 | 2022-06-21T08:48:32Z | ---
tags:
- vision
---
# Model Card: GroupViT
This checkpoint is uploaded by Jiarui Xu.
## Model Details
The GroupViT model was proposed in [GroupViT: Semantic Segmentation Emerges from Text Supervision](https://arxiv.org/abs/2202.11094) by Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas Breuel, Jan K... | [
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bert-base-multilingual-uncased | [
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"bert",
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"multilingual",
"af",
"sq",
"ar",
"an",
"hy",
"ast",
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"my",
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"ceb",
"ce",
"zh",
"cv",
"hr",
"cs",
"da",
"nl",
"en",
"et",
... | fill-mask | {
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"BertForMaskedLM"
],
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"min_length": null,
"no_repeat_ngram_size... | 328,585 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- mnist
- autoevaluate/mnist-sample
metrics:
- accuracy
model-index:
- name: image-classification
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: mnist
type: mnist
args: mnist
... | [
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bert-large-cased-whole-word-masking | [
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"dataset:wikipedia",
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"no_repeat_ngram_size... | 2,316 | 2022-06-21T09:12:45Z | ---
tags:
- vision
datasets:
- red_caps
---
# Model Card: GroupViT
This checkpoint is uploaded by Jiarui Xu.
## Model Details
The GroupViT model was proposed in [GroupViT: Semantic Segmentation Emerges from Text Supervision](https://arxiv.org/abs/2202.11094) by Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon,... | [
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bert-large-cased | [
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"dataset:wikipedia",
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"no_repeat_ngram_size... | 388,769 | 2022-06-21T09:18:30Z | ---
tags:
- automatic-speech-recognition
- gary109/AI_Light_Dance
- generated_from_trainer
model-index:
- name: ai-light-dance_singing_ft_wav2vec2-large-xlsr-53-5gram-v4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably p... | [
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distilbert-base-cased-distilled-squad | [
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"rust",
"safetensors",
"openvino",
"distilbert",
"question-answering",
"en",
"dataset:squad",
"arxiv:1910.01108",
"arxiv:1910.09700",
"transformers",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"has_space"
] | question-answering | {
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],
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... | 257,745 | 2022-06-21T10:22:05Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- opus_infopankki
metrics:
- bleu
model-index:
- name: opus-mt-tr-en-finetuned-tr-to-en
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: opus_infopankki
type: opus_info... | [
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distilbert-base-german-cased | [
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"de",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
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"no_repea... | 43,667 | 2022-06-21T10:36:58Z | ---
language: en
license: mit
---
# Fairseq-dense 13B - Nerys
## Model Description
Fairseq-dense 13B-Nerys is a finetune created using Fairseq's MoE dense model.
## Training data
The training data contains around 2500 ebooks in various genres (the "Pike" dataset), a CYOA dataset called "CYS" and 50 Asian "Light Novels"... | [
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AIDA-UPM/bertweet-base-multi-mami | [
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"text-classification",
"en",
"transformers",
"misogyny",
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] | text-classification | {
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"... | 41 | null |
---
license: cc-by-4.0
metrics:
- bleu4
- meteor
- rouge-l
- bertscore
- moverscore
language: en
datasets:
- lmqg/qg_subjqa
pipeline_tag: text2text-generation
tags:
- question generation
widget:
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AdapterHub/bert-base-uncased-pf-emo | [
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"en",
"dataset:emo",
"arxiv:2104.08247",
"adapter-transformers",
"text-classification"
] | text-classification | {
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"num_bea... | 5 | null | ---
tags:
- conversational
---
# Tony Stark DialoGPT Model | [
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AdapterHub/bert-base-uncased-pf-emotion | [
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] | text-classification | {
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"num_bea... | 165 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: veb/twitch-bert-base-uncased-finetuned
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. --... | [
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AdapterHub/bert-base-uncased-pf-multirc | [
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"adapter-transformers",
"text-classification",
"adapterhub:rc/multirc"
] | text-classification | {
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"num_bea... | 4 | null | Kalyana Virundhu Biryani is one of the best biryani shop in Chennai." We Serve various types of Biryani along with our special side-Dish. Order us"Phone: +91 8939234566 or visit our website
https://www.kalyanavirundhubiryani.com/ | [
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AdapterHub/bert-base-uncased-pf-stsb | [
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"num_bea... | 3 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deberta-v3-large
results: []
---
# deberta-v3-large-sentiment
This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an [tweet_eval](https://huggingface.co/datas... | [
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AdapterHub/roberta-base-pf-copa | [
"roberta",
"en",
"arxiv:2104.08247",
"adapter-transformers",
"adapterhub:comsense/copa"
] | null | {
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"num_... | 4 | null |
---
license: cc-by-4.0
metrics:
- bleu4
- meteor
- rouge-l
- bertscore
- moverscore
language: en
datasets:
- lmqg/qg_squadshifts
pipeline_tag: text2text-generation
tags:
- question generation
widget:
- text: "<hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical ... | [
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Aftabhussain/Tomato_Leaf_Classifier | [
"pytorch",
"tensorboard",
"vit",
"image-classification",
"transformers",
"huggingpics",
"model-index",
"autotrain_compatible"
] | image-classification | {
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"no_repeat_n... | 50 | null |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
library_name: ml-agents
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age... | [
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Ahmad/parsT5-base | [
"pytorch",
"t5",
"text2text-generation",
"transformers",
"autotrain_compatible"
] | text2text-generation | {
"architectures": [
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"no_repeat_n... | 25 | null | ---
license: apache-2.0
---
# Graphcore/convnext-base-ipu
Optimum Graphcore is a new open-source library and toolkit that enables developers to access IPU-optimized models certified by Hugging Face. It is an extension of Transformers, providing a set of performance optimization tools enabling maximum efficiency to tr... | [
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Akashpb13/Kabyle_xlsr | [
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"wav2vec2",
"automatic-speech-recognition",
"kab",
"dataset:mozilla-foundation/common_voice_8_0",
"transformers",
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"generated_from_trainer",
"sw",
"robust-speech-event",
"model_for_talk",
"hf-asr-leaderboard",
"license:apache-... | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
"task_specific_params": {
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},
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"min_length": null,
"no_repeat_ngram_s... | 3 | null | ---
tags:
- image-classification
license: afl-3.0
---
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