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LOGMONS
/
hubert-laugh

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

Instructions to use LOGMONS/hubert-laugh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LOGMONS/hubert-laugh with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="LOGMONS/hubert-laugh")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("LOGMONS/hubert-laugh")
    model = AutoModelForCTC.from_pretrained("LOGMONS/hubert-laugh")
  • Notebooks
  • Google Colab
  • Kaggle
hubert-laugh
378 MB
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  • 1 contributor
History: 3 commits
LOGMONS's picture
LOGMONS
Upload processor
0248bce verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    5.17 kB
    Upload HubertForCTC 4 months ago
  • added_tokens.json
    20 Bytes
    Upload processor 4 months ago
  • config.json
    1.57 kB
    Upload HubertForCTC 4 months ago
  • model.safetensors
    378 MB
    xet
    Upload HubertForCTC 4 months ago
  • preprocessor_config.json
    257 Bytes
    Upload processor 4 months ago
  • special_tokens_map.json
    96 Bytes
    Upload processor 4 months ago
  • tokenizer_config.json
    1.35 kB
    Upload processor 4 months ago
  • vocab.json
    358 Bytes
    Upload processor 4 months ago