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openpecha
/
general_stt_base_model

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

Instructions to use openpecha/general_stt_base_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use openpecha/general_stt_base_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="openpecha/general_stt_base_model")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("openpecha/general_stt_base_model")
    model = AutoModelForCTC.from_pretrained("openpecha/general_stt_base_model")
  • Notebooks
  • Google Colab
  • Kaggle
general_stt_base_model
1.26 GB
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  • 1 contributor
History: 3 commits
ganga4364's picture
ganga4364
Upload processor
9ac981b verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload Wav2Vec2ForCTC over 1 year ago
  • added_tokens.json
    32 Bytes
    Upload processor over 1 year ago
  • config.json
    2.09 kB
    Upload Wav2Vec2ForCTC over 1 year ago
  • model.safetensors
    1.26 GB
    xet
    Upload Wav2Vec2ForCTC over 1 year ago
  • preprocessor_config.json
    256 Bytes
    Upload processor over 1 year ago
  • special_tokens_map.json
    548 Bytes
    Upload processor over 1 year ago
  • tokenizer_config.json
    1.1 kB
    Upload processor over 1 year ago
  • vocab.json
    1.67 kB
    Upload processor over 1 year ago