Instructions to use kinit/whisper-tiny-sk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kinit/whisper-tiny-sk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kinit/whisper-tiny-sk")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kinit/whisper-tiny-sk") model = AutoModelForSpeechSeq2Seq.from_pretrained("kinit/whisper-tiny-sk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
1c2d0c5 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:fcd8a08fea734bcb83f2c82d4024f71dda611cb2208c4f682d46385adb815ac4
size 6161
|