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:
- c0fada3bb2327f74d394002e12246f3375fa6c5a0835555bd81f77f4f8cb4518
- Size of remote file:
- 3.5 kB
- SHA256:
- dcddca80a51715fff9d9b671487647fb2603b4a0585eb1dff3950a841213611c
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