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chompk
/
wav2vec2-large-xlsr-thai-tokenized

Automatic Speech Recognition
Transformers
PyTorch
JAX
Thai
wav2vec2
audio
speech
xlsr-fine-tuning
Model card Files Files and versions
xet
Community
1

Instructions to use chompk/wav2vec2-large-xlsr-thai-tokenized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use chompk/wav2vec2-large-xlsr-thai-tokenized with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="chompk/wav2vec2-large-xlsr-thai-tokenized")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("chompk/wav2vec2-large-xlsr-thai-tokenized")
    model = AutoModelForCTC.from_pretrained("chompk/wav2vec2-large-xlsr-thai-tokenized")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-large-xlsr-thai-tokenized
5.01 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 7 commits
Patrick von Platen
upload flax model
34e0e54 almost 5 years ago
  • .gitattributes
    736 Bytes
    allow flax almost 5 years ago
  • README.md
    213 Bytes
    fix README about 5 years ago
  • config.json
    1.56 kB
    init commit about 5 years ago
  • flax_model.msgpack
    1.26 GB
    xet
    upload flax model almost 5 years ago
  • optimizer.pt
    2.49 GB
    xet
    init commit about 5 years ago
  • preprocessor_config.json
    158 Bytes
    init commit about 5 years ago
  • pytorch_model.bin
    1.26 GB
    xet
    init commit about 5 years ago
  • scheduler.pt
    623 Bytes
    xet
    init commit about 5 years ago
  • trainer_state.json
    1.01 kB
    init commit about 5 years ago
  • training_args.bin
    2.29 kB
    xet
    init commit about 5 years ago
  • vocab.json
    949 Bytes
    init commit about 5 years ago