Instructions to use powervel/draft_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use powervel/draft_5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="powervel/draft_5")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("powervel/draft_5") model = AutoModelForSpeechSeq2Seq.from_pretrained("powervel/draft_5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 170949ba106e344592ccd567fe66d95037e8a175286b662a8f4223b0de61737f
- Size of remote file:
- 5.43 kB
- SHA256:
- b2d9534e57d97a5919d910243b34245e941311b6ec4ba74739e293d4e9de2d86
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.