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:
- 75bad39dcbcbca34e2a1c0a9024e9abc0d2684603975346252f781b15ae1f6e7
- Size of remote file:
- 5.71 kB
- SHA256:
- 9f230a64cbc9ab0f91d8fdca49204b16492c3164617d23a4702ced85012cf8a4
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