Instructions to use powervel/draft_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use powervel/draft_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="powervel/draft_2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("powervel/draft_2") model = AutoModelForSpeechSeq2Seq.from_pretrained("powervel/draft_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5451bc7bd910516e58a03997fae2ab1fce569d21f0fa425e48dfcb9acde8d02f
- Size of remote file:
- 5.43 kB
- SHA256:
- 8d6c7a425cf59eec31db2eda5f3e2dc8f5ee64e96bcc1835f34e798a250c64c9
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