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

ntviet
/
hubert-large-hre-v1

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

Instructions to use ntviet/hubert-large-hre-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ntviet/hubert-large-hre-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ntviet/hubert-large-hre-v1")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("ntviet/hubert-large-hre-v1")
    model = AutoModelForCTC.from_pretrained("ntviet/hubert-large-hre-v1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
hubert-large-hre-v1 / final_model
1.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
ntviet's picture
ntviet
Model save
52f1ab0 verified 22 days ago
  • config.json
    1.55 kB
    Model save 22 days ago
  • model.safetensors
    1.26 GB
    xet
    Model save 22 days ago
  • preprocessor_config.json
    214 Bytes
    Model save 22 days ago
  • training_args.bin
    5.14 kB
    xet
    Model save 22 days ago