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WannaGoTech
/
WannaMed-mini

Automatic Speech Recognition
Transformers
LiteRT
French
English
Arabic
audio-text-to-text
text-generation
medical
clinical-nlp
radiology
report-structuring
edge-ai
french
healthcare
wannamed
wannagotech
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use WannaGoTech/WannaMed-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use WannaGoTech/WannaMed-mini with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="WannaGoTech/WannaMed-mini")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("WannaGoTech/WannaMed-mini", device_map="auto")
  • LiteRT

    How to use WannaGoTech/WannaMed-mini with LiteRT:

    # No code snippets available yet for this library.
    
    # To use this model, check the repository files and the library's documentation.
    
    # Want to help? PRs adding snippets are welcome at:
    # https://github.com/huggingface/huggingface.js
  • Notebooks
  • Google Colab
  • Kaggle
WannaMed-mini / screenshots
40.4 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
WannaGoTech-TN's picture
WannaGoTech-TN
Publish WannaMed mini public Model Card (On-The-Go Smartphone Edge 1.12 GB RAM & 6-section SOTA benchmark)
e16756b verified about 20 hours ago
  • asr-bar-nobg-base.png
    17.6 kB
    Publish WannaMed mini public Model Card (On-The-Go Smartphone Edge 1.12 GB RAM & 6-section SOTA benchmark) about 20 hours ago
  • asr-bar-nobg.png
    22.9 kB
    Publish WannaMed mini public Model Card (On-The-Go Smartphone Edge 1.12 GB RAM & 6-section SOTA benchmark) about 20 hours ago