Instructions to use aleegis11/85110b06-6539-49aa-b2d6-819bd10c67e2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis11/85110b06-6539-49aa-b2d6-819bd10c67e2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b") model = PeftModel.from_pretrained(base_model, "aleegis11/85110b06-6539-49aa-b2d6-819bd10c67e2") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aleegis11/85110b06-6539-49aa-b2d6-819bd10c67e2: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/aleegis11/85110b06-6539-49aa-b2d6-819bd10c67e2/resolve/main/training_args.bin
- Command line
-
hf download hf://aleegis11/85110b06-6539-49aa-b2d6-819bd10c67e2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aleegis11/85110b06-6539-49aa-b2d6-819bd10c67e2/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 2c7cfbf3ab957b5b19ba3eefb7174e93b9001962484b231675b799e58a03f13f
- Size of remote file:
- 6.84 kB
- SHA256:
- 6669573f0c7d92723657b63df2a24c5361d212599c7c7d47db6cef214e8f2d5e
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