Instructions to use SouthMemphis/fred-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SouthMemphis/fred-4 with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("ai-forever/FRED-T5-1.7B") model = PeftModel.from_pretrained(base_model, "SouthMemphis/fred-4") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SouthMemphis/fred-4: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/SouthMemphis/fred-4/resolve/main/training_args.bin
- Command line
-
hf download hf://SouthMemphis/fred-4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SouthMemphis/fred-4/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- ed6762bf40940bf62ea4eff6688db20afae82c61eb320b99e30033dce4bb95a2
- Size of remote file:
- 4.92 kB
- SHA256:
- 5d6362b8bccfc78b717115bb57024daecceb46b54c15f8317292685ba1ee494c
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