Instructions to use Colby/apertus-8b-coding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Colby/apertus-8b-coding with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Colby/apertus-8b-coding", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22183b7840843e3678e054594dd68383eff17df71577504a3f5545c009bba9ca
- Size of remote file:
- 79.7 MB
- SHA256:
- dbc4cbd3efe085a3263da43ad1a5bb1add74ce42c2a6ba8b7e6df925d1d7eeb7
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