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
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

tanmayplanet32
/
english-model

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Model card Files Files and versions
xet
Community
1

Instructions to use tanmayplanet32/english-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tanmayplanet32/english-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="tanmayplanet32/english-model")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("tanmayplanet32/english-model")
    model = AutoModelForCTC.from_pretrained("tanmayplanet32/english-model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
english-model
1.26 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
tanmayplanet32's picture
tanmayplanet32
Add config data
0c97244 almost 5 years ago
  • .gitattributes
    737 Bytes
    initial commit almost 5 years ago
  • README.md
    273 Bytes
    Add config data almost 5 years ago
  • config.json
    1.37 kB
    Add config data almost 5 years ago
  • preprocessor_config.json
    214 Bytes
    Add config data almost 5 years ago
  • pytorch_model.bin
    1.26 GB
    xet
    Add config data almost 5 years ago
  • special_tokens_map.json
    85 Bytes
    Add config data almost 5 years ago
  • vocab.json
    300 Bytes
    Add config data almost 5 years ago