Instructions to use powervel/draft_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use powervel/draft_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="powervel/draft_3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("powervel/draft_3") model = AutoModelForSpeechSeq2Seq.from_pretrained("powervel/draft_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31e31eb78d8c21994b538ec6613b50580c08301b7f5d7cc573155dc7c0e78d1b
- Size of remote file:
- 5.43 kB
- SHA256:
- 093634475ac293b964c4480713e441b95157760da825352c38ee8a1e1f3bd277
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