Instructions to use powervel/draft_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use powervel/draft_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="powervel/draft_1")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("powervel/draft_1") model = AutoModelForSpeechSeq2Seq.from_pretrained("powervel/draft_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a395542859481524a89b8d7d28c716b10a68eddcbf13d70ff7379b251b97e0d
- Size of remote file:
- 5.43 kB
- SHA256:
- c3c26663415a12068fdab011a31be6749402fb272755819541ad8b026b4e38d8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.