Instructions to use MLap/paligemma_intersections with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MLap/paligemma_intersections 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, "MLap/paligemma_intersections") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 464eee26b7c855e96a2edb1320eba92f736335ced724acc3042cf4ad22bdee24
- Size of remote file:
- 45.3 MB
- SHA256:
- 2f89492d782aea9364db9f8cf8b4a4c63936e1ccb661f116e09b1c8bace6be38
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