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RASMUS
/
wav2vec2-xlsr-300

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use RASMUS/wav2vec2-xlsr-300 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RASMUS/wav2vec2-xlsr-300 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="RASMUS/wav2vec2-xlsr-300")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("RASMUS/wav2vec2-xlsr-300")
    model = AutoModelForCTC.from_pretrained("RASMUS/wav2vec2-xlsr-300")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-xlsr-300
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  • 1 contributor
History: 15 commits
RASMUS's picture
RASMUS
Training in progress, step 2524
6ab91de over 4 years ago
  • language_model
    Upload lm-boosted decoder over 4 years ago
  • runs
    Training in progress, step 2524 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 400 over 4 years ago
  • added_tokens.json
    23 Bytes
    add tokenizer over 4 years ago
  • alphabet.json
    233 Bytes
    Upload lm-boosted decoder over 4 years ago
  • config.json
    1.67 kB
    Training in progress, step 631 over 4 years ago
  • preprocessor_config.json
    214 Bytes
    Training in progress, step 400 over 4 years ago
  • pytorch_model.bin
    1.26 GB
    xet
    Training in progress, step 2524 over 4 years ago
  • special_tokens_map.json
    502 Bytes
    Upload lm-boosted decoder over 4 years ago
  • tokenizer_config.json
    282 Bytes
    Upload lm-boosted decoder over 4 years ago
  • training_args.bin
    2.8 kB
    xet
    Training in progress, step 631 over 4 years ago
  • vocab.json
    307 Bytes
    add tokenizer over 4 years ago