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khanhld
/
chunkFormer-ctc-small-libri-960h

Automatic Speech Recognition
Transformers
PyTorch
speech-recognition
audio
chunkformer
ctc
long-form transcription
asr
Model card Files Files and versions
xet
Community

Instructions to use khanhld/chunkFormer-ctc-small-libri-960h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use khanhld/chunkFormer-ctc-small-libri-960h with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="khanhld/chunkFormer-ctc-small-libri-960h")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("khanhld/chunkFormer-ctc-small-libri-960h", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
chunkFormer-ctc-small-libri-960h / tokenizer
451 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
khanhld's picture
khanhld
Upload ChunkFormer model
84d9a3b verified 10 months ago
  • train_libri_bpe5000.model
    318 kB
    xet
    Upload ChunkFormer model 10 months ago
  • train_libri_bpe5000.vocab
    69.2 kB
    Upload ChunkFormer model 10 months ago
  • train_libri_bpe5000_units.txt
    64.1 kB
    Upload ChunkFormer model 10 months ago