Instructions to use shibajustfor/c9ef0513-7d8e-4123-8596-0791a98a7d5a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shibajustfor/c9ef0513-7d8e-4123-8596-0791a98a7d5a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codellama-7b") model = PeftModel.from_pretrained(base_model, "shibajustfor/c9ef0513-7d8e-4123-8596-0791a98a7d5a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10dc70f07e5025e5aca183a7a2e0f501e7e093084e0bbce0e975e3e9b2defeb4
- Size of remote file:
- 320 MB
- SHA256:
- 09f7f567160a515abf945cfe12070250c7db7bd794ac13d58b1c25a9ee71b9dc
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