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

- Xet hash:
- b3641147b3d6c2aff0e9ed51bf7a3ecc396de8b0814fb396e09a8e29d2bfa4fc
- Size of remote file:
- 194 kB
- SHA256:
- 74d19c67cac354d5f7986a7190ad44443a1aa3371ec71ef9bec1c49824b286ac
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