Automatic Speech Recognition
Transformers
Safetensors
French
whisper
medical
radiology
african_french_accent
afro-french
Generated from Trainer
Eval Results (legacy)
Instructions to use StephaneBah/Med-Whisper-AfroRad-FR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StephaneBah/Med-Whisper-AfroRad-FR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="StephaneBah/Med-Whisper-AfroRad-FR")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("StephaneBah/Med-Whisper-AfroRad-FR") model = AutoModel.from_pretrained("StephaneBah/Med-Whisper-AfroRad-FR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbc3835bc83617bab6119a00dc9d7a7b734e5c0fd4acb26625bde76af12e0f39
- Size of remote file:
- 5.91 kB
- SHA256:
- a9470e857783bf2a523bfd20d6b9bca932b9e0da8383009cde10e87de4df7e8e
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