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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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alphabet.json
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{"labels": ["h", "f", "b", "s", "1", "u", "c", "'", "p", "a", "r", "v", "g", "t", "m", "i", " ", "e", "n", "o", "x", "l", "q", "j", "y", "z", "3", "w", "d", "k", "\u2047", ""], "is_bpe": false}
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{"labels": ["h", "f", "b", "s", "1", "u", "c", "'", "p", "a", "r", "v", "g", "t", "m", "i", " ", "e", "n", "o", "x", "l", "q", "j", "y", "z", "3", "w", "d", "k", "\u2047", "", "<s>", "</s>"], "is_bpe": false}
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