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anuragshas
/
wav2vec2-large-xlsr-53-telugu

Automatic Speech Recognition
Transformers
PyTorch
JAX
Telugu
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Model card Files Files and versions
xet
Community
3

Instructions to use anuragshas/wav2vec2-large-xlsr-53-telugu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use anuragshas/wav2vec2-large-xlsr-53-telugu with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="anuragshas/wav2vec2-large-xlsr-53-telugu")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("anuragshas/wav2vec2-large-xlsr-53-telugu")
    model = AutoModelForCTC.from_pretrained("anuragshas/wav2vec2-large-xlsr-53-telugu", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-large-xlsr-53-telugu
2.52 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 8 commits
Patrick von Platen
upload flax model
35b88df about 5 years ago
  • .gitattributes
    736 Bytes
    allow flax about 5 years ago
  • README.md
    4.92 kB
    Update README.md over 5 years ago
  • config.json
    1.56 kB
    Model upload v1 over 5 years ago
  • flax_model.msgpack
    1.26 GB
    xet
    upload flax model about 5 years ago
  • preprocessor_config.json
    158 Bytes
    Model upload v1 over 5 years ago
  • pytorch_model.bin
    1.26 GB
    xet
    Model upload v1 over 5 years ago
  • special_tokens_map.json
    85 Bytes
    Model upload v1 over 5 years ago
  • tokenizer_config.json
    138 Bytes
    Model upload v1 over 5 years ago
  • vocab.json
    718 Bytes
    Model upload v1 over 5 years ago