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)
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
Ctrl+K
Publish WannaMed mini public Model Card (On-The-Go Smartphone Edge 1.12 GB RAM & 6-section SOTA benchmark)
e16756b verified