Instructions to use sanjitaa/base-whisper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sanjitaa/base-whisper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sanjitaa/base-whisper")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sanjitaa/base-whisper") model = AutoModelForSpeechSeq2Seq.from_pretrained("sanjitaa/base-whisper", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f646d27841445a364c92265ce6ce18794f336efc63fa1f5cbf47372b9a27efa8
- Size of remote file:
- 967 MB
- SHA256:
- 2b877244e4d01191cc4173e9a66d3bbcc25de3886d60a6dc503b279e978ff343
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