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:
- 6e8c632f8d66989e79eb255ecdbc238f8e39302e8be8ba4e7d6cea85bcb10a90
- Size of remote file:
- 6.71 kB
- SHA256:
- f84a931ca43ad3d5f350dd51b4f21511797be501c486b7d18db27995e531ef6e
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