Instructions to use denden/iloko_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use denden/iloko_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="denden/iloko_model")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("denden/iloko_model") model = AutoModelForCTC.from_pretrained("denden/iloko_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae051928110ffea0c6aed37317df4f2dcbe9862c2d04b480cdca3d6b36e0885b
- Size of remote file:
- 2.8 kB
- SHA256:
- 544f0f5d4ef99c05315a71472a0f423a45cf9ca7756ba13099e4f46da0613234
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