Instructions to use btemirov/distill-whisper-jargon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use btemirov/distill-whisper-jargon with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="btemirov/distill-whisper-jargon")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("btemirov/distill-whisper-jargon") model = AutoModelForSpeechSeq2Seq.from_pretrained("btemirov/distill-whisper-jargon") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d16a9bfa9728fe40ca55f4d5d566b67302627666eabce9a1e6d456fc40343763
- Size of remote file:
- 4.86 kB
- SHA256:
- 8b00bb623b1f8385d66f1fdf78f8f22f5c27fb96777230b7d541c2f2a363db58
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