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:
- 967ec919f264af308acf55cf1e62745532f87126e62132933f642ce2712961e1
- Size of remote file:
- 5.56 kB
- SHA256:
- 69fb4dcb9d548603bd12b582a3bfcc590aebc9a54a275b0fe3211886190fff85
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