Instructions to use Colby/apertus-8b-soc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Colby/apertus-8b-soc with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Colby/apertus-8b-soc", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31c0a627f4f0ba06ee345fa5856755178859d67dbcb114f45a8614e6302f469a
- Size of remote file:
- 17.1 MB
- SHA256:
- bb201fb226cde11f66c3cf51c5344fb37b1611f00c21e75c324546d854eff2e1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.