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

balaragavesh
/
w2vindia

Transformers
Safetensors
wav2vec2
pretraining
speech
self-supervised
acoustic-model
foundation-model
multilingual
indian-languages
Model card Files Files and versions
xet
Community

Instructions to use balaragavesh/w2vindia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use balaragavesh/w2vindia with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModelForPreTraining
    
    processor = AutoProcessor.from_pretrained("balaragavesh/w2vindia")
    model = AutoModelForPreTraining.from_pretrained("balaragavesh/w2vindia")
  • Notebooks
  • Google Colab
  • Kaggle
w2vindia
380 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
balaragavesh's picture
balaragavesh
Update README.md
998730b verified 4 months ago
  • .gitattributes
    1.52 kB
    Initial commit 4 months ago
  • README.md
    2.35 kB
    Update README.md 4 months ago
  • config.json
    2.32 kB
    Initial commit 4 months ago
  • model.safetensors
    380 MB
    xet
    Updated model file 4 months ago