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

voidful
/
hubert-base-100-pr

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

Instructions to use voidful/hubert-base-100-pr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use voidful/hubert-base-100-pr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="voidful/hubert-base-100-pr")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("voidful/hubert-base-100-pr")
    model = AutoModelForCTC.from_pretrained("voidful/hubert-base-100-pr", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
hubert-base-100-pr
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
voidful's picture
voidful
update model with more step
675a0c8 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    2.14 kB
    update model train on libri 100 over 3 years ago
  • optimizer.pt
    756 MB
    xet
    update model with more step over 3 years ago
  • preprocessor_config.json
    256 Bytes
    update model train on libri 100 over 3 years ago
  • pytorch_model.bin
    378 MB
    xet
    update model with more step over 3 years ago
  • rng_state.pth
    15.5 kB
    xet
    update model with more step over 3 years ago
  • scaler.pt
    559 Bytes
    xet
    update model with more step over 3 years ago
  • scheduler.pt
    623 Bytes
    xet
    update model with more step over 3 years ago
  • special_tokens_map.json
    96 Bytes
    init commit - add tokenizer over 3 years ago
  • tokenizer_config.json
    291 Bytes
    init commit - add tokenizer over 3 years ago
  • trainer_state.json
    212 kB
    update model with more step over 3 years ago
  • training_args.bin
    3.5 kB
    xet
    update model train on libri 100 over 3 years ago
  • vocab.json
    1.3 kB
    init commit - add tokenizer over 3 years ago