Instructions to use diagonalge/aec496bb-64b4-44c8-b67a-502d6d9f8401 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use diagonalge/aec496bb-64b4-44c8-b67a-502d6d9f8401 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "diagonalge/aec496bb-64b4-44c8-b67a-502d6d9f8401") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3d4bac8a14dc48d20e6dddaa30d34a870ae99e4f2e50cbbf64133d0a41acaf4
- Size of remote file:
- 168 MB
- SHA256:
- ad074812da3dd0c36d62a033228635b60b67e2893f1df81f0fc5f70108db3eab
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