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

Priyanship
/
eval_cache_hindi_only

Automatic Speech Recognition
Transformers
Safetensors
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Priyanship/eval_cache_hindi_only with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Priyanship/eval_cache_hindi_only")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("Priyanship/eval_cache_hindi_only")
    model = AutoModelForCTC.from_pretrained("Priyanship/eval_cache_hindi_only")
  • Notebooks
  • Google Colab
  • Kaggle
eval_cache_hindi_only / json
161 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Priyanship's picture
Priyanship
End of training
263641c verified almost 2 years ago
  • default-b60d5edd0f197c71
    End of training almost 2 years ago