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:
- 80f448886c0e7e8d64aa4cd024ca9cf5ca376db3250210e27037abe437b8556e
- Size of remote file:
- 14.2 kB
- SHA256:
- 6d9dad472c625544a84029492c20e55a11e0b1a437d7c0f61ccb13f356134a19
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