Instructions to use Sjdan/switch_verylow_960h_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sjdan/switch_verylow_960h_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sjdan/switch_verylow_960h_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Sjdan/switch_verylow_960h_2") model = AutoModelForCTC.from_pretrained("Sjdan/switch_verylow_960h_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
637bbe4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6122bf4d6fd88a39d8fa5cc8574cc1a282e5100f1369cf43700a791adec6046d
size 3579
|