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optimum
/
hubert-large-ls960-ft

Automatic Speech Recognition
Transformers
ONNX
hubert
Model card Files Files and versions
xet
Community

Instructions to use optimum/hubert-large-ls960-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use optimum/hubert-large-ls960-ft with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="optimum/hubert-large-ls960-ft")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("optimum/hubert-large-ls960-ft")
    model = AutoModelForCTC.from_pretrained("optimum/hubert-large-ls960-ft")
  • Notebooks
  • Google Colab
  • Kaggle
hubert-large-ls960-ft
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  • 1 contributor
History: 7 commits
mohitsha's picture
mohitsha
Upload vocab.json with huggingface_hub
55c4a03 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    1.53 kB
    Upload config.json with huggingface_hub about 3 years ago
  • model.onnx
    1.26 GB
    xet
    Upload model.onnx with huggingface_hub about 3 years ago
  • preprocessor_config.json
    212 Bytes
    Upload preprocessor_config.json with huggingface_hub about 3 years ago
  • special_tokens_map.json
    96 Bytes
    Upload special_tokens_map.json with huggingface_hub about 3 years ago
  • tokenizer_config.json
    553 Bytes
    Upload tokenizer_config.json with huggingface_hub about 3 years ago
  • vocab.json
    358 Bytes
    Upload vocab.json with huggingface_hub about 3 years ago