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WhissleAI
/
STT-meta-ZH-150m

Automatic Speech Recognition
NeMo
ONNX
Chinese
asr
age
gender
dialect
entity_recognition
citrinet
mandarin
dual-head
meta-asr
Model card Files Files and versions
xet
Community

Instructions to use WhissleAI/STT-meta-ZH-150m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • NeMo

    How to use WhissleAI/STT-meta-ZH-150m with NeMo:

    import nemo.collections.asr as nemo_asr
    asr_model = nemo_asr.models.ASRModel.from_pretrained("WhissleAI/STT-meta-ZH-150m")
    
    transcriptions = asr_model.transcribe(["file.wav"])
  • Notebooks
  • Google Colab
  • Kaggle
STT-meta-ZH-150m
1.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
ksingla025's picture
ksingla025
Upload README.md with huggingface_hub
bf23d79 verified about 1 month ago
  • onnx
    Upload onnx/vocabulary.json with huggingface_hub about 1 month ago
  • .gitattributes
    1.58 kB
    Upload zh-citrinet-meta-v11.nemo with huggingface_hub about 1 month ago
  • README.md
    13 kB
    Upload README.md with huggingface_hub about 1 month ago
  • zh-citrinet-meta-v11.nemo
    632 MB
    xet
    Upload zh-citrinet-meta-v11.nemo with huggingface_hub about 1 month ago