Instructions to use OscarXZQ/multistep_arithmetic_two with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use OscarXZQ/multistep_arithmetic_two 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/multistep_arithmetic_two") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from OscarXZQ/multistep_arithmetic_two: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/OscarXZQ/multistep_arithmetic_two/resolve/main/training_args.bin
- Command line
-
hf download hf://OscarXZQ/multistep_arithmetic_two/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/OscarXZQ/multistep_arithmetic_two/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- d5c92c37da243330a3524b07a714eee116b0da08e716f048f0e94e66f3a2d31d
- Size of remote file:
- 5.62 kB
- SHA256:
- 8f7d4d47b50fa43638d272af315fb04271ec8f48f6df36eb1d366b15b616b532
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