Instructions to use MiguelGP-13/aranes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MiguelGP-13/aranes with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "MiguelGP-13/aranes") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a11735e962700b8eedf895fc44581849f4efb54b4ce026fd1b655c6596a2f0a1
- Size of remote file:
- 5.05 kB
- SHA256:
- 8faa54cbac2b0c2bda4f72b659201cf20bff8fe1231484113d82b71935b8f533
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.