Instructions to use LuciexJune/Paligemma2_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LuciexJune/Paligemma2_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/paligemma-3b-pt-448") model = PeftModel.from_pretrained(base_model, "LuciexJune/Paligemma2_lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 507d2506a19fcc66144955dc018ec50dd96dcf23b79371162a0ffedbec8c720d
- Size of remote file:
- 5.3 kB
- SHA256:
- 591762aad8049f2f4bc16d33346dd301bcdffa3a31293091128253ccd834aa57
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.