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enactic
/
japanese-avhubert-base-iter3

Feature Extraction
Transformers
Safetensors
Japanese
avhubert
AVSR
AVHuBERT
custom_code
Model card Files Files and versions
xet
Community

Instructions to use enactic/japanese-avhubert-base-iter3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use enactic/japanese-avhubert-base-iter3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="enactic/japanese-avhubert-base-iter3", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("enactic/japanese-avhubert-base-iter3", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
japanese-avhubert-base-iter3
411 MB
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  • 1 contributor
History: 5 commits
yubo0306's picture
yubo0306
Upload feature extractor
29f0ca7 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    2.76 kB
    Update README.md 5 months ago
  • config.json
    7 kB
    Upload model 5 months ago
  • configuration_avhubert.py
    6.63 kB
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  • configuration_resnet.py
    409 Bytes
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  • decoder.py
    47.7 kB
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  • feature_extraction_avhubert.py
    13.5 kB
    Upload feature extractor about 2 months ago
  • model.safetensors
    411 MB
    xet
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  • modeling_avhubert.py
    16.5 kB
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  • modeling_resnet.py
    5.6 kB
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  • preprocessor_config.json
    946 Bytes
    Upload feature extractor 5 months ago