Instructions to use OscarXZQ/tracking_shuffled_objects_five_objects with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use OscarXZQ/tracking_shuffled_objects_five_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_five_objects") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd2ba33c4d9012701f546aac48bd6a20c764987f7c45e53db739c57b3f022750
- Size of remote file:
- 18.9 MB
- SHA256:
- 22e00ae0a0c75a091528a2d013909c9b1dd55d23fd13fb58a9616c5edc92cb13
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