Instructions to use arthoho66/CN-whisper-th-medium_TH with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arthoho66/CN-whisper-th-medium_TH with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="arthoho66/CN-whisper-th-medium_TH")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("arthoho66/CN-whisper-th-medium_TH") model = AutoModelForMultimodalLM.from_pretrained("arthoho66/CN-whisper-th-medium_TH") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11885969d991d69b243e3df7830ddfed9a8431fa28502d916329e53329764d10
- Size of remote file:
- 627 Bytes
- SHA256:
- 3e37efdae495a667db75aa2ae3d9a00298d25e92b65955065a8365d55e484799
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