Instructions to use cunghoctienganh/62cd0991-d417-4f69-842d-1a970dc72ee8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/62cd0991-d417-4f69-842d-1a970dc72ee8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("The-matt/llama2_ko-7b_distinctive-snowflake-182_1060") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/62cd0991-d417-4f69-842d-1a970dc72ee8") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from cunghoctienganh/62cd0991-d417-4f69-842d-1a970dc72ee8: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/cunghoctienganh/62cd0991-d417-4f69-842d-1a970dc72ee8/resolve/main/training_args.bin
- Command line
-
hf download hf://cunghoctienganh/62cd0991-d417-4f69-842d-1a970dc72ee8/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cunghoctienganh/62cd0991-d417-4f69-842d-1a970dc72ee8/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 56a5afb66dda4f8669c087362940c6422fa3ef03efe989a827028aff2d01b884
- Size of remote file:
- 6.78 kB
- SHA256:
- acf9db3ebbb27c616b965a7665af017840c507406a4247935e6a446a2bcba739
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