Instructions to use KrorngAI/TrorYongASR-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KrorngAI/TrorYongASR-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="KrorngAI/TrorYongASR-tiny", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KrorngAI/TrorYongASR-tiny", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44130484f9bba094f88198dd16f7ea308188dcfe8ac9d0a18cee11a838784df1
- Size of remote file:
- 116 MB
- SHA256:
- d283f74f2ab06caa778a87b62e4e0084839ae325b3df09c7dd58398af5418e08
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