Instructions to use afrias5/codellama-7b-Python-Score4096V2-45 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use afrias5/codellama-7b-Python-Score4096V2-45 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/CodeLlama-7b-Python-hf") model = PeftModel.from_pretrained(base_model, "afrias5/codellama-7b-Python-Score4096V2-45") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9cbf4a1cef69eddced91e29e84758d9e3b34804180a6a5500af18228b3b46849
- Size of remote file:
- 6.33 kB
- SHA256:
- 54785fd675d3f19335155aefee08caa4a6bc78d888d8961ec707bef757806884
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