Instructions to use powervel/draft_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use powervel/draft_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="powervel/draft_4")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("powervel/draft_4") model = AutoModelForSpeechSeq2Seq.from_pretrained("powervel/draft_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6daaf06bcd40446fb2be4825513d9331ed00087cd5974092215d523fcf90b488
- Size of remote file:
- 5.43 kB
- SHA256:
- 25f1f68af50d86cc12f3d4ebabc504a22610dd30e68dafe4044c3cb115a00964
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