Instructions to use OscarXZQ/tracking_shuffled_objects_three_objects with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use OscarXZQ/tracking_shuffled_objects_three_objects with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-large") model = PeftModel.from_pretrained(base_model, "OscarXZQ/tracking_shuffled_objects_three_objects") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ac7934692be2971fd59e9fdefc1c06d98c79d603cb639b93342da3bcd16c6d3
- Size of remote file:
- 18.9 MB
- SHA256:
- cfbaddcf8a46f499492f5879a917808d1d0b1f8a97f763ac7f4e8efc552324f0
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