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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cce29135bb758fd9ac4dc537f90e5fdf6304e256522a4149468cd25305e2d22d
- Size of remote file:
- 967 MB
- SHA256:
- 3e7c962cab758f5cc78fd8c8090dc61f162cc04ee1910080168cafc7725be187
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