Instructions to use biodatlab/distill-whisper-th-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use biodatlab/distill-whisper-th-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="biodatlab/distill-whisper-th-medium")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("biodatlab/distill-whisper-th-medium") model = AutoModelForSpeechSeq2Seq.from_pretrained("biodatlab/distill-whisper-th-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd8eb091c63c2036e25c02370ed469cee8b44deecd25884fe1f9b47c645045d4
- Size of remote file:
- 6.58 kB
- SHA256:
- 91760db41f7692d21e279b37b361b3791f0bb633678d4d0be596f79dca1d502d
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