Instructions to use burakashiva/sllm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use burakashiva/sllm with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("burakashiva/sllm", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 070a486364cae685804b16ea1302b065b78617376b95062bc3983cf5134424ee
- Size of remote file:
- 5.82 kB
- SHA256:
- a6de0dae951ff8d0f998d392538f80b101be235ef958e10007d0201b3e7da8e0
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