Instructions to use eai6/whisper-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eai6/whisper-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="eai6/whisper-base")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("eai6/whisper-base") model = AutoModelForSpeechSeq2Seq.from_pretrained("eai6/whisper-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc4983d808986554de8a8e549008b59e7a2b8b592921da75d0a3aae107791949
- Size of remote file:
- 290 MB
- SHA256:
- 57491dc97b20f5c533b6ee3db954e1f874da3c1aafc7b5da8ada21f031841f5d
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