Instructions to use ninja/assis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ninja/assis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ninja/assis")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ninja/assis") model = AutoModelForCTC.from_pretrained("ninja/assis") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82b3acf838652c6a648ac1ee105ea60cc1439aa80e18cc3623289e8fde3b017f
- Size of remote file:
- 378 MB
- SHA256:
- 9844affdd372780956d9f292ecb6166dbf2605c31ada293d3d77147e379f5bee
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