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billingsmoore
/
garchen-stt

Automatic Speech Recognition
Transformers
Safetensors
Tibetan
wav2vec2
Model card Files Files and versions
xet
Community

Instructions to use billingsmoore/garchen-stt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use billingsmoore/garchen-stt with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="billingsmoore/garchen-stt")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("billingsmoore/garchen-stt")
    model = AutoModelForCTC.from_pretrained("billingsmoore/garchen-stt")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    2.25 kB
    Update README.md 8 months ago
  • added_tokens.json
    32 Bytes
    Upload processor 8 months ago
  • config.json
    2.06 kB
    Upload Wav2Vec2ForCTC 4 months ago
  • decoder_config.json
    134 Bytes
    Upload decoder_config.json with huggingface_hub 8 months ago
  • kenlm_5gram.bin
    90.4 MB
    xet
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  • model.safetensors
    1.26 GB
    xet
    Upload Wav2Vec2ForCTC 4 months ago
  • preprocessor_config.json
    256 Bytes
    Upload processor 8 months ago
  • processor_config.json
    299 Bytes
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  • special_tokens_map.json
    548 Bytes
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  • tokenizer_config.json
    1.38 kB
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  • vocab.json
    1.67 kB
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