Instructions to use namkyeong/test3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use namkyeong/test3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="namkyeong/test3")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("namkyeong/test3") model = AutoModelForCTC.from_pretrained("namkyeong/test3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- feeb91a09c7c1087de82a640e3088384df3a14885e735995b568ed9a43e5a9d8
- Size of remote file:
- 2.93 kB
- SHA256:
- b391971701d6ea42ef69155a9af2d750a218fdc9421004b52f291c6a12e272a6
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