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:
- 32e9a988038182470772041dad095b275fb7b9dcd3f5ae3f009e57af2bb63e0a
- Size of remote file:
- 5.37 kB
- SHA256:
- 2bd876e7508d99b1c8e6f64cc2a4e131184cc44af3eefc19ec81023d6c473ed5
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