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:
- 8c7e160e2f60b979ad8f19c57896576d97a1a0c34a3ca3f81beea5d05e0c6b03
- Size of remote file:
- 5.65 kB
- SHA256:
- 892f0d121068891009fdda98628f89e39b03f3a6099433783eeceae4b08fb0be
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