Instructions to use tensorops/whisper-tiny-th-v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tensorops/whisper-tiny-th-v7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tensorops/whisper-tiny-th-v7")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("tensorops/whisper-tiny-th-v7") model = AutoModelForSpeechSeq2Seq.from_pretrained("tensorops/whisper-tiny-th-v7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd24ce3d810bb2b5a8c3c7fa0f333ceed2814806a3b4b53a1a594631ba1bca49
- Size of remote file:
- 151 MB
- SHA256:
- 3798e88582e42f5161a798e8dbf2ccefb2d22b6a5217b1a94fc8624e93a96f6a
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