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WhissleAI
/
STT-meta-HI

Automatic Speech Recognition
NeMo
Hindi
speech
conformer
ctc
hindi
speech-tagging
entity-recognition
emotion-detection
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use WhissleAI/STT-meta-HI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • NeMo

    How to use WhissleAI/STT-meta-HI with NeMo:

    import nemo.collections.asr as nemo_asr
    asr_model = nemo_asr.models.ASRModel.from_pretrained("WhissleAI/STT-meta-HI")
    
    transcriptions = asr_model.transcribe(["file.wav"])
  • Notebooks
  • Google Colab
  • Kaggle
STT-meta-HI
481 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
ksingla025's picture
ksingla025
Upload eval_summary.json with huggingface_hub
2994809 verified 16 days ago
  • .gitattributes
    1.59 kB
    Upload hi-vakyansh-meta-v17-223k.nemo with huggingface_hub 16 days ago
  • README.md
    6.72 kB
    Upload README.md with huggingface_hub 16 days ago
  • eval_results.xlsx
    11.3 kB
    Upload eval_results.xlsx with huggingface_hub 16 days ago
  • eval_summary.json
    6.51 kB
    Upload eval_summary.json with huggingface_hub 16 days ago
  • hi-vakyansh-meta-v17-223k.nemo
    481 MB
    xet
    Upload hi-vakyansh-meta-v17-223k.nemo with huggingface_hub 16 days ago