Instructions to use Siyong/MC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Siyong/MC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Siyong/MC")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Siyong/MC") model = AutoModelForCTC.from_pretrained("Siyong/MC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae144b3999b7b914c3ad405cb17e07b32d9321206183a1983f978dc1a4ba7fb7
- Size of remote file:
- 3.06 kB
- SHA256:
- 0d9b161ed3d3685f8b2752caf2da53f86376bf99c3eed56ffa6e226bcd7dee1b
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