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MahmoodAnaam
/
MSP-Processor-With-LM

Automatic Speech Recognition
Transformers
English
processor
custom_code
msp
beam-search
language-model
3-gram
pyctcdecode
kenlm
Model card Files Files and versions
xet
Community

Instructions to use MahmoodAnaam/MSP-Processor-With-LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MahmoodAnaam/MSP-Processor-With-LM with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="MahmoodAnaam/MSP-Processor-With-LM", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("MahmoodAnaam/MSP-Processor-With-LM", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MSP-Processor-With-LM
35.7 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
MahmoodAnaam's picture
MahmoodAnaam
Update README.md
3240023 verified 28 days ago
  • language_model
    Upload lm-lrs2 decoder about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    3.38 kB
    Update README.md 28 days ago
  • alphabet.json
    198 Bytes
    Upload lm-lrs2 decoder about 2 months ago
  • feature_extraction_msp_audio.py
    5.74 kB
    Upload lm-lrs2 decoder about 2 months ago
  • processing_msp_with_lm.py
    27 kB
    Upload lm-lrs2 decoder about 2 months ago
  • processor_config.json
    1.23 kB
    Upload lm-lrs2 decoder about 2 months ago
  • tokenizer_config.json
    1.45 kB
    Upload lm-lrs2 decoder about 2 months ago
  • video_processing_msp_visual.py
    5.45 kB
    Upload lm-lrs2 decoder about 2 months ago
  • vocab.json
    358 Bytes
    Upload lm-lrs2 decoder about 2 months ago