Instructions to use YYYYYYibo/imp_sam_iter_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use YYYYYYibo/imp_sam_iter_3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("alignment-handbook/zephyr-7b-sft-full") model = PeftModel.from_pretrained(base_model, "YYYYYYibo/imp_sam_iter_3") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from YYYYYYibo/imp_sam_iter_3: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/YYYYYYibo/imp_sam_iter_3/resolve/main/training_args.bin
- Command line
-
hf download hf://YYYYYYibo/imp_sam_iter_3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/YYYYYYibo/imp_sam_iter_3/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- 5b23fadf9ac0f0ae699aa9dcc36c2dab53267725ebbbb072ce3046b3a44621f5
- Size of remote file:
- 4.86 kB
- SHA256:
- f3ac5944c10c897e25a9a3d7e680e6c4dde062696b26f7993bdb6289f0a165d5
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