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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 / language_model
35.7 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
MahmoodAnaam's picture
MahmoodAnaam
Upload lm-lrs2 decoder
8cccbbd verified about 2 months ago
  • 3gram.bin
    35.3 MB
    xet
    Upload lm-lrs2 decoder about 2 months ago
  • attrs.json
    78 Bytes
    Upload lm-lrs2 decoder about 2 months ago
  • unigrams.txt
    316 kB
    Upload lm-lrs2 decoder about 2 months ago