Instructions to use 1-lock/279187d6-9be8-4aaa-b7da-fe3462123a48 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/279187d6-9be8-4aaa-b7da-fe3462123a48 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.1-Storm-8B") model = PeftModel.from_pretrained(base_model, "1-lock/279187d6-9be8-4aaa-b7da-fe3462123a48") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from 1-lock/279187d6-9be8-4aaa-b7da-fe3462123a48: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/1-lock/279187d6-9be8-4aaa-b7da-fe3462123a48/resolve/18a18079e3df7aef66ff9d8c0ab521015ae6f010/training_args.bin
- Command line
-
hf download hf://1-lock/279187d6-9be8-4aaa-b7da-fe3462123a48@18a18079e3df7aef66ff9d8c0ab521015ae6f010/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/1-lock/279187d6-9be8-4aaa-b7da-fe3462123a48/resolve/18a18079e3df7aef66ff9d8c0ab521015ae6f010/training_args.bin
6.84 kB
- Xet hash:
- f76ddcf670a89dbc4bdaad4de8198ff90455798dfd7cefcc950a6570c79b1dca
- Size of remote file:
- 6.84 kB
- SHA256:
- 2af3f51773f25ea06d789a24b4ed76b500e608b9d1c8bfe5268daa6d39d45e06
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