Instructions to use adishourya/RESULTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adishourya/RESULTS with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/paligemma-3b-mix-448") model = PeftModel.from_pretrained(base_model, "adishourya/RESULTS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbb9d88aa8334cf6641726d9e29a03d8031a6cec787b8ca8ad1a30dec6b1334b
- Size of remote file:
- 5.18 kB
- SHA256:
- dc7b397eeceabe05913bdfc13d82c2e298b195eb13bb7710befd31a32e192ad0
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