Instructions to use sanjitaa/small-whisper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sanjitaa/small-whisper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sanjitaa/small-whisper")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sanjitaa/small-whisper") model = AutoModelForSpeechSeq2Seq.from_pretrained("sanjitaa/small-whisper", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be40e4926896561931d9d370437607cee09d0fb9a77f4e04a5f687fa70134abf
- Size of remote file:
- 3.5 kB
- SHA256:
- a423b2d78a3560afd49db00fe96dd124ce00368c3744bb572d7f276d9344459f
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