Instructions to use data-corentinv/whisper-tiny-fr-cv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use data-corentinv/whisper-tiny-fr-cv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="data-corentinv/whisper-tiny-fr-cv")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("data-corentinv/whisper-tiny-fr-cv") model = AutoModelForSpeechSeq2Seq.from_pretrained("data-corentinv/whisper-tiny-fr-cv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
841bdd5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:03029060bfe8fd18da602766be8c439fadbc183505dfc9f9ef85a96f670e27b2
size 5368
|