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sulabhkatiyar
/
ne-asr-nri

Automatic Speech Recognition
Transformers
Chokri Naga
audio
speech
ctc
mms
low-resource
chakhesang
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use sulabhkatiyar/ne-asr-nri with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sulabhkatiyar/ne-asr-nri with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="sulabhkatiyar/ne-asr-nri")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("sulabhkatiyar/ne-asr-nri", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ne-asr-nri
8.81 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
sulabhkatiyar's picture
sulabhkatiyar
Clean public model card
f923b7b verified 17 days ago
  • .gitattributes
    1.52 kB
    initial commit 17 days ago
  • README.md
    5.18 kB
    Clean public model card 17 days ago
  • adapter.nri.safetensors
    8.8 MB
    xet
    phase-e2: upload adapter.nri.safetensors 17 days ago
  • processor_config.json
    297 Bytes
    phase-e2: upload processor_config.json 17 days ago
  • tokenizer_config.json
    1.37 kB
    phase-e2: upload tokenizer_config.json 17 days ago
  • vocab.json
    359 Bytes
    phase-e2: upload vocab.json 17 days ago