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:
- 0161dc9f2e731250c48b5c1c24d10453fd2f453d138332b6be7fd594c65b1fbc
- Size of remote file:
- 5.56 kB
- SHA256:
- 08b61f230cccd74e8b9d4297950d404393555da5af94a7a533a91ddf8f3d9ef8
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