Instructions to use Mitradn/3data-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mitradn/3data-finetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mitradn/3data-finetune")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Mitradn/3data-finetune") model = AutoModelForMultimodalLM.from_pretrained("Mitradn/3data-finetune") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d481f701c3241d20cc2cb8f3634482bfbc8b3b1f2268b558fa2668e22c831b44
- Size of remote file:
- 4.86 kB
- SHA256:
- 85581f04f0651dfc744c500f4b2cccdfb03e0bcada75645c9a7cdf1b5ee34d5d
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