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WhissleAI
/
STT-meta-1B

Automatic Speech Recognition
NeMo
asr
emotion
age
gender
intent
entity_recognition
Model card Files Files and versions
xet
Community

Instructions to use WhissleAI/STT-meta-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • NeMo

    How to use WhissleAI/STT-meta-1B with NeMo:

    import nemo.collections.asr as nemo_asr
    asr_model = nemo_asr.models.ASRModel.from_pretrained("WhissleAI/STT-meta-1B")
    
    transcriptions = asr_model.transcribe(["file.wav"])
  • Notebooks
  • Google Colab
  • Kaggle
STT-meta-1B
2.52 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
ksingla025's picture
ksingla025
Update README.md
d64ba4f verified about 2 months ago
  • .gitattributes
    1.65 kB
    Upload parakeet-600m-encoder-tune-weight-0.5-batch-langfamily-balance-tokenizer-aggregated-new.nemo with huggingface_hub 6 months ago
  • README.md
    1.34 kB
    Update README.md about 2 months ago
  • parakeet-600m-encoder-tune-weight-0.5-batch-langfamily-balance-tokenizer-aggregated-new.nemo
    2.52 GB
    xet
    Upload parakeet-600m-encoder-tune-weight-0.5-batch-langfamily-balance-tokenizer-aggregated-new.nemo with huggingface_hub 6 months ago