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

Reza2kn
/
visualears-fastconformer-fa-full-ab

Automatic Speech Recognition
NeMo
Persian
persian
farsi
fastconformer
rnnt
ctc
visualears
Model card Files Files and versions
xet
Community

Instructions to use Reza2kn/visualears-fastconformer-fa-full-ab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • NeMo

    How to use Reza2kn/visualears-fastconformer-fa-full-ab with NeMo:

    import nemo.collections.asr as nemo_asr
    asr_model = nemo_asr.models.ASRModel.from_pretrained("Reza2kn/visualears-fastconformer-fa-full-ab")
    
    transcriptions = asr_model.transcribe(["file.wav"])
  • Notebooks
  • Google Colab
  • Kaggle
visualears-fastconformer-fa-full-ab
459 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 35 commits
Reza2kn's picture
Reza2kn
Clarify LiteRT transcript parity
5c5cca3 verified 20 days ago
  • .gitattributes
    1.78 kB
    Upload verified export exports/onnx/w4-asym-b32 20 days ago
  • README.md
    3.94 kB
    Clarify LiteRT transcript parity 20 days ago
  • fa_fastconformer_ab_final.nemo
    459 MB
    xet
    Upload final FastConformer A+B NeMo checkpoint 20 days ago