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Awesome-x
/
aci-codeswitch-base

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

Instructions to use Awesome-x/aci-codeswitch-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Awesome-x/aci-codeswitch-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Awesome-x/aci-codeswitch-base")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Awesome-x/aci-codeswitch-base")
    model = AutoModelForCTC.from_pretrained("Awesome-x/aci-codeswitch-base")
  • Notebooks
  • Google Colab
  • Kaggle
aci-codeswitch-base
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  • 1 contributor
History: 3 commits
Awesome-x's picture
Awesome-x
Upload Wav2Vec2ForCTC
78a5aab verified 10 days ago
  • .gitattributes
    1.52 kB
    initial commit 10 days ago
  • README.md
    5.17 kB
    Upload processor 10 days ago
  • added_tokens.json
    74 Bytes
    Upload processor 10 days ago
  • config.json
    2.28 kB
    Upload Wav2Vec2ForCTC 10 days ago
  • model.safetensors
    1.26 GB
    xet
    Upload Wav2Vec2ForCTC 10 days ago
  • processor_config.json
    299 Bytes
    Upload processor 10 days ago
  • tokenizer_config.json
    2.06 kB
    Upload processor 10 days ago
  • vocab.json
    458 Bytes
    Upload processor 10 days ago