Instructions to use IABDs8a/whisper-base-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IABDs8a/whisper-base-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="IABDs8a/whisper-base-full")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("IABDs8a/whisper-base-full") model = AutoModelForSpeechSeq2Seq.from_pretrained("IABDs8a/whisper-base-full") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c19f6f4bfc70b3ea321cd2eaaccab4b2343c041c5902418b3918c80e309f4a79
- Size of remote file:
- 4.09 kB
- SHA256:
- f05912cf6c3dbd19dcd9cd9e8dd8940d3b9bce3b69afdb16bea54719171ef899
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