Instructions to use samaxr/codellama_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use samaxr/codellama_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "samaxr/codellama_lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ae68525af6d204e06f2538b21e35e682589dc02086761aa7fcc26d99a1ea86e
- Size of remote file:
- 5.05 kB
- SHA256:
- 3a4b3d0eaf877c071932f81173eb05e96d2863eef7d892cd16ffed71b8ae69c2
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