Instructions to use biodatlab/aug-whisper-medium-th-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use biodatlab/aug-whisper-medium-th-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="biodatlab/aug-whisper-medium-th-base")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("biodatlab/aug-whisper-medium-th-base") model = AutoModelForSpeechSeq2Seq.from_pretrained("biodatlab/aug-whisper-medium-th-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a66b89f78983c4706d352e711645c663c39d56fef4cf63a201174c8f6bbb9f5
- Size of remote file:
- 3.06 GB
- SHA256:
- cad5840b5ac1aec0398192fab7f06e682471d5636d33e4a8cee42517d8e5a151
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