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
Download training_args.bin from OscarXZQ/tracking_shuffled_objects_three_objects: direct link, hf CLI and curl.
- Browser
- Download file 5.75 kB
-
https://huggingface.co/OscarXZQ/tracking_shuffled_objects_three_objects/resolve/main/training_args.bin
- Command line
-
hf download hf://OscarXZQ/tracking_shuffled_objects_three_objects/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/OscarXZQ/tracking_shuffled_objects_three_objects/resolve/main/training_args.bin
5.75 kB
- Xet hash:
- 147687a143206cae3ed4ce67dd675f678530c33c9986db52cebb6e629cfa6202
- Size of remote file:
- 5.75 kB
- SHA256:
- 53257aa1bca2b4aa3c3240be1ff193811fdee2346bbd4771d4b51311ab621bfd
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