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:
- 8874db5adfcd0658ed80e32c4cd3d102965a72882b31bb1a99ff129bd94f5673
- Size of remote file:
- 290 MB
- SHA256:
- 40cf0cbb95abd863a63b11b61ec1e44a515e4ab71ec05695bf2f927380a6434b
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