Instructions to use jim-320/codellama-7b-sft-qlora-cypher with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jim-320/codellama-7b-sft-qlora-cypher with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jim-320/codellama-7b-sft-qlora-cypher", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5633a0018c9280aad65cb2f22cd0f6f6312d29552e9a36671dc7556b0c2e05c
- Size of remote file:
- 6.1 kB
- SHA256:
- 66628b41195553444872992decf23f4d5ebf1a6530f80346efef03cef6c5b2e3
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