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:
- c079ccbe6d1d625230995d701fe12e692e079c2c9650f3d166bd2f48e05b7060
- Size of remote file:
- 290 MB
- SHA256:
- d783018ed1c881b55c61c251041010ed4ae08b24512012a2bbc5bb476348cdba
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