Instructions to use Mitradn/net-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mitradn/net-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mitradn/net-medium")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Mitradn/net-medium") model = AutoModelForMultimodalLM.from_pretrained("Mitradn/net-medium") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a656b48ab4e4f4d903df0531a86bcdeff331e1f882f28c431ceea2d8ac753b72
- Size of remote file:
- 4.86 kB
- SHA256:
- ad85014fa3ea57d0513186089515b77998259ec79c0d18d5fe8fee05a4fac521
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