Instructions to use GGmorello/whisper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GGmorello/whisper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GGmorello/whisper")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("GGmorello/whisper") model = AutoModelForSpeechSeq2Seq.from_pretrained("GGmorello/whisper") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6c428203894988f74ce824e8d610711a6aeb2b3d708ec52f54d38ba33421ea0
- Size of remote file:
- 4.73 kB
- SHA256:
- ee3b9aa97fe0538dd8ebde09663f571b68e40c738029380f49f994a0f5ea47b1
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