Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

theodotus
/
stt_ua_fastconformer_hybrid_large_pc

Automatic Speech Recognition
NeMo
Ukrainian
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use theodotus/stt_ua_fastconformer_hybrid_large_pc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • NeMo

    How to use theodotus/stt_ua_fastconformer_hybrid_large_pc with NeMo:

    import nemo.collections.asr as nemo_asr
    asr_model = nemo_asr.models.ASRModel.from_pretrained("theodotus/stt_ua_fastconformer_hybrid_large_pc")
    
    transcriptions = asr_model.transcribe(["file.wav"])
  • Notebooks
  • Google Colab
  • Kaggle
stt_ua_fastconformer_hybrid_large_pc
459 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
theodotus's picture
theodotus
Upload avaraged model
47d985c about 3 years ago
  • .gitattributes
    1.52 kB
    Updated gitattributes about 3 years ago
  • README.md
    1.35 kB
    Upload avaraged model about 3 years ago
  • stt_ua_fastconformer_hybrid_large_pc.nemo
    459 MB
    xet
    Upload avaraged model about 3 years ago