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
- Xet hash:
- 812216ef68905e210be46424255bb74cd1032f43f37768e53f1ed6044c3d8353
- Size of remote file:
- 1.26 GB
- SHA256:
- c183742a1e76de055765e0690e451d056d1d79ff49f98477f3169e6373be75c4
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