Instructions to use Jour/train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jour/train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Jour/train")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Jour/train") model = AutoModelForMultimodalLM.from_pretrained("Jour/train") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 513f6fd32b8b400abd0aa7ca8ef6f807ed9012eb385244929a5faa29cd664e27
- Size of remote file:
- 5.24 kB
- SHA256:
- 0f7fef32599f5c1211dba7b0f185043b0c5bde48f3d283d4cad1d457a33db3df
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