Instructions to use eugenetanjc/trained_french with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eugenetanjc/trained_french with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="eugenetanjc/trained_french")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("eugenetanjc/trained_french") model = AutoModelForCTC.from_pretrained("eugenetanjc/trained_french") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fca65aafdfe428d9cdcd43457750902b715338262dc686af7bfaa5c3503c622
- Size of remote file:
- 378 MB
- SHA256:
- 0c95671a620e3ec29eaa50f187238da340c233e117e68444e550b9cf60efb74e
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