Instructions to use juierror/whisper-tiny-thai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juierror/whisper-tiny-thai with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="juierror/whisper-tiny-thai")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("juierror/whisper-tiny-thai") model = AutoModelForSpeechSeq2Seq.from_pretrained("juierror/whisper-tiny-thai") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64e0194450e4b552b13618982264ab0c2339db39d1a7e088492a55691d8b4e2a
- Size of remote file:
- 151 MB
- SHA256:
- 569221aec453d6f43726e15a933916fa1cdcb6f060990d44c31e29db72aa9c21
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