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:
- 78da0cb19c121fdb4fbb34f87add77ce9bc43b937fe46e273d586f6be5475bb9
- Size of remote file:
- 168 MB
- SHA256:
- dcd807fd7345bb1a541b7d0a81bdaf15e088d087b5360c8cf62ae18d92887c18
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