Instructions to use laquythang/5f622124-41d4-4121-a3f2-1b5b39f355d0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/5f622124-41d4-4121-a3f2-1b5b39f355d0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.2-1B") model = PeftModel.from_pretrained(base_model, "laquythang/5f622124-41d4-4121-a3f2-1b5b39f355d0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ee4c14d952f64ed96801545310129fca858c364d087f4efdfa631a0f88ccf2b
- Size of remote file:
- 6.78 kB
- SHA256:
- 6058a884bba9655c019ff2eed7ef41d36748a1639735b5e59f47b07b3b695416
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.