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Cherishh
/
wav2vec2-slu-1

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Model card Files Files and versions
xet
Community
3

Instructions to use Cherishh/wav2vec2-slu-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Cherishh/wav2vec2-slu-1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Cherishh/wav2vec2-slu-1")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Cherishh/wav2vec2-slu-1")
    model = AutoModelForCTC.from_pretrained("Cherishh/wav2vec2-slu-1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-slu-1 / language_model
2.53 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
Nguyen Tien
Upload folder using huggingface_hub (#2)
f085022 almost 3 years ago
  • attrs.json
    78 Bytes
    Upload folder using huggingface_hub (#2) almost 3 years ago
  • lm.binary
    2.53 GB
    xet
    Upload folder using huggingface_hub (#2) almost 3 years ago
  • unigrams.txt
    2.03 MB
    Upload folder using huggingface_hub (#2) almost 3 years ago