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rajb3
/
kea-t

Automatic Speech Recognition
NeMo
English
speech
audio
NeMo
parakeet
TDT
FastConformer
quantization
ternary
bitnet
quantization-aware-training
knowledge-distillation
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use rajb3/kea-t with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • NeMo

    How to use rajb3/kea-t with NeMo:

    import nemo.collections.asr as nemo_asr
    asr_model = nemo_asr.models.ASRModel.from_pretrained("rajb3/kea-t")
    
    transcriptions = asr_model.transcribe(["file.wav"])
  • Notebooks
  • Google Colab
  • Kaggle
kea-t / tokenizer
267 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
rajb3's picture
rajb3
Ternary Parakeet-TDT-0.6B-v2: 180.8 MB export, loader, model card, NOTICE, CC-BY-4.0
bb5a35d verified 9 days ago
  • tokenizer.model
    251 kB
    xet
    Ternary Parakeet-TDT-0.6B-v2: 180.8 MB export, loader, model card, NOTICE, CC-BY-4.0 9 days ago
  • tokenizer.vocab
    10.4 kB
    Ternary Parakeet-TDT-0.6B-v2: 180.8 MB export, loader, model card, NOTICE, CC-BY-4.0 9 days ago
  • vocab.txt
    5.07 kB
    Ternary Parakeet-TDT-0.6B-v2: 180.8 MB export, loader, model card, NOTICE, CC-BY-4.0 9 days ago