Instructions to use OscarXZQ/tracking_shuffled_objects_seven_objects with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use OscarXZQ/tracking_shuffled_objects_seven_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_seven_objects") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from OscarXZQ/tracking_shuffled_objects_seven_objects: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/OscarXZQ/tracking_shuffled_objects_seven_objects/resolve/main/training_args.bin
- Command line
-
hf download hf://OscarXZQ/tracking_shuffled_objects_seven_objects/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/OscarXZQ/tracking_shuffled_objects_seven_objects/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- 407f3921bfa060e13b598bc0391f33137542f713e63b81fb8aea8eb55ea854f6
- Size of remote file:
- 5.62 kB
- SHA256:
- 9641f86ceb812d27c85cdd48552b9dce70f697944ed6796120a8dffc7cf9eccc
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