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:
- 86dac5167853de5c8ddcfb892a0fe2779fa69acc8e7e570557ee61b8291e33d5
- Size of remote file:
- 151 MB
- SHA256:
- 7ada34bdcea9a65e1af7ccf1cb1a4af929139d809fa67c980b2e1457e2a94695
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