Instructions to use kojo-george/asr_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kojo-george/asr_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kojo-george/asr_model")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("kojo-george/asr_model") model = AutoModelForCTC.from_pretrained("kojo-george/asr_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bb87e0aa719b6f18c0e7dd19bce9e596ed47d64d0d37948d036c875095fa96d
- Size of remote file:
- 5.18 kB
- SHA256:
- 02bd1fbf450abf493343e32d3eab6769bece5abd8769c9d8ea6682d00a693b80
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