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frankmorales2020
/
Voxtral-Mini-4B-H2E-FineTune

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

Instructions to use frankmorales2020/Voxtral-Mini-4B-H2E-FineTune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use frankmorales2020/Voxtral-Mini-4B-H2E-FineTune with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="frankmorales2020/Voxtral-Mini-4B-H2E-FineTune")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("frankmorales2020/Voxtral-Mini-4B-H2E-FineTune")
    model = AutoModelForMultimodalLM.from_pretrained("frankmorales2020/Voxtral-Mini-4B-H2E-FineTune", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Voxtral-Mini-4B-H2E-FineTune
8.87 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
frankmorales2020's picture
frankmorales2020
Update README.md
3165aff verified 8 months ago
  • .gitattributes
    1.57 kB
    Upload processor 8 months ago
  • README.md
    6.75 kB
    Update README.md 8 months ago
  • config.json
    1.62 kB
    Fine-tuned Voxtral-Mini-4B for H2E Challenge 8 months ago
  • generation_config.json
    186 Bytes
    Fine-tuned Voxtral-Mini-4B for H2E Challenge 8 months ago
  • model.safetensors
    8.86 GB
    xet
    Fine-tuned Voxtral-Mini-4B for H2E Challenge 8 months ago
  • processor_config.json
    384 Bytes
    Upload processor 8 months ago
  • tekken.json
    14.9 MB
    xet
    Upload processor 8 months ago