Instructions to use Mitradn/dual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mitradn/dual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mitradn/dual")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Mitradn/dual") model = AutoModelForMultimodalLM.from_pretrained("Mitradn/dual") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3d96ff4c19c5de5ef8d061d8761de3851ab0b7e4fb4245c9bd8895d2c3890f6
- Size of remote file:
- 4.86 kB
- SHA256:
- 8527fbd2f38f8c020c7f37aed9507dd442c9d9c7f66e1607bcd254d9ce6c412e
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