Instructions to use OscarXZQ/hyperbaton with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use OscarXZQ/hyperbaton 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/hyperbaton") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from OscarXZQ/hyperbaton: direct link, hf CLI and curl.
- Browser
- Download file 5.69 kB
-
https://huggingface.co/OscarXZQ/hyperbaton/resolve/main/training_args.bin
- Command line
-
hf download hf://OscarXZQ/hyperbaton/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/OscarXZQ/hyperbaton/resolve/main/training_args.bin
5.69 kB
- Xet hash:
- c369de9290c4404fb1d152272a8a457d825620c1a6abc4c2b8b5e8893e69e08a
- Size of remote file:
- 5.69 kB
- SHA256:
- e813813bf619cf1045aff4fde58452c49097a95d3684bde1d896b510b076f8d5
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