Instructions to use Sjdan/switch_medium_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sjdan/switch_medium_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sjdan/switch_medium_2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Sjdan/switch_medium_2") model = AutoModelForCTC.from_pretrained("Sjdan/switch_medium_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
5d69cf2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c183742a1e76de055765e0690e451d056d1d79ff49f98477f3169e6373be75c4
size 1262000237
|