Instructions to use kvjv/thirdmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kvjv/thirdmodel with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/paligemma-3b-pt-224") model = PeftModel.from_pretrained(base_model, "kvjv/thirdmodel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5de4f41d67d5c632b2a50911281505c5012e05e17aa622c8ba1675fd9dee383c
- Size of remote file:
- 45.3 MB
- SHA256:
- 4c0c4ee82f6012ea6f0148867ae626db3c121daa154cd2a4c1fc6252e672b380
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