Instructions to use kwanchiva/test-whisper-tiny-th with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kwanchiva/test-whisper-tiny-th with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kwanchiva/test-whisper-tiny-th")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kwanchiva/test-whisper-tiny-th") model = AutoModelForSpeechSeq2Seq.from_pretrained("kwanchiva/test-whisper-tiny-th", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature7712a74
-
Update README.md
Verified signature3808129 -
Update README.md
Verified signature59ad831 -
Update README.md
Verified signature46079b7 -
Update README.md
Verified signature600045e -
Update README.md
Verified signature68b6dd2 -
Update README.md
Verified signature785e5bb -
Update README.md
Verified signature161c652 -
Update README.md
Verified signature07ff486 -
Update README.md
Verified signature4750e55 -
Update README.md
Verified signaturebbb20bc -
Update README.md
Verified signature5bf612f -
Update README.md
Verified signature31988ea -
Update README.md
Verified signature47d81cf -
Update README.md
Verified signature035b5fe -
Update README.md
Verified signaturee5a9951
-
./test-whisper-tiny-th
Verified signature3b77efc -
initial commit
Verified signature88b7bca