Instructions to use ACIDE/FailSense-Video-Calvin-1p-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ACIDE/FailSense-Video-Calvin-1p-3b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/paligemma2-3b-mix-224") model = PeftModel.from_pretrained(base_model, "ACIDE/FailSense-Video-Calvin-1p-3b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aaf978a56c40c4b4dd5befbeb5c3fd2befd5f05bb67b17843c11f63a93437c08
- Size of remote file:
- 177 MB
- SHA256:
- faf5838bb5646bcbb176ff208a6cd531975a986bdc1051e1c97ff00f2c7beeb6
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