Instructions to use personalizedrefrigerator/whisper-tiny-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use personalizedrefrigerator/whisper-tiny-fr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="personalizedrefrigerator/whisper-tiny-fr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("personalizedrefrigerator/whisper-tiny-fr") model = AutoModelForSpeechSeq2Seq.from_pretrained("personalizedrefrigerator/whisper-tiny-fr") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Dec03_17-12-49_590880acc8c7
- Dec03_17-20-26_479510b13ab8
- Dec03_17-46-55_479510b13ab8
- Dec03_17-52-49_479510b13ab8
- Dec03_17-55-32_479510b13ab8
- Mar17_21-30-31_b2a92614898a
- Mar17_22-01-24_b2a92614898a
- Mar18_21-54-25_58c989e9a324
- Mar18_21-58-18_58c989e9a324
- Mar18_22-22-57_58c989e9a324
- Mar18_22-58-10_58c989e9a324