Instructions to use yip-i/colab-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yip-i/colab-demo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="yip-i/colab-demo")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("yip-i/colab-demo") model = AutoModelForCTC.from_pretrained("yip-i/colab-demo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c074d30e73ece80a805730a0e31e047a971a37eb5354c66da679c2dc665376e
- Size of remote file:
- 378 MB
- SHA256:
- 76f668d6e240e48ea7667b2c091598149a682f21a26bcd4476035ea08be26738
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