Instructions to use tensorops/whisper-tiny-th with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tensorops/whisper-tiny-th with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tensorops/whisper-tiny-th")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("tensorops/whisper-tiny-th") model = AutoModelForSpeechSeq2Seq.from_pretrained("tensorops/whisper-tiny-th") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bccdb9fc5ccb917670248c48677ccb7b07513d893a97a51768c7707d336228ac
- Size of remote file:
- 151 MB
- SHA256:
- 45c9ff43f45e65577c4e54f3f24b238da69e516bf9cc3b3f60ff912b257e8b87
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