Instructions to use Nutanix/CodeLlama-7b-Instruct-hf_KTO_lora_cpp_unit_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nutanix/CodeLlama-7b-Instruct-hf_KTO_lora_cpp_unit_test with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Nutanix/CodeLlama-7b-Instruct-hf_KTO_lora_cpp_unit_test", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8d6ea497435ede21f89cfdfa771ee9b9f6f63ca06f6db89250a8260c3b927b6
- Size of remote file:
- 12.6 MB
- SHA256:
- 6ae8676b04bebc9ff482c9b6d1f195d9718a76434fa1f8eb84f2f3fba0569154
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