Instructions to use OscarXZQ/tracking_shuffled_objects_five_objects-lr5e-05 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-lr5e-05 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-lr5e-05") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58bb1a61910c254cefed9069e7a5cf7045b340ac6beaa0bc769d6f96f12afd04
- Size of remote file:
- 5.62 kB
- SHA256:
- acd96a18f40eecaa10bfd5d68a7e1ad2826d36dfb15668079b4092edfbb8a195
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