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:
- 2168a96e1b7fe973684b4d0767d616aec7eb45afe3309b630977006c415a80ca
- Size of remote file:
- 79.7 MB
- SHA256:
- 4409b1541552f1b4c3e5e913688d9af7a18d8bb42eb082125048463c049b8d39
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