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:
- a0dfe483fe70772530815c1e7b91380371b45addd478a0e27fcc8387e9f8745c
- Size of remote file:
- 3.52 kB
- SHA256:
- 25a272a09822e1e0c18ecfec40d6edd261e5de40d2446dcc11889d61b7549f08
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