Instructions to use aleegis11/e85d6be1-bf57-4958-8693-8a06031c4728 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis11/e85d6be1-bf57-4958-8693-8a06031c4728 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, "aleegis11/e85d6be1-bf57-4958-8693-8a06031c4728") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aleegis11/e85d6be1-bf57-4958-8693-8a06031c4728: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/aleegis11/e85d6be1-bf57-4958-8693-8a06031c4728/resolve/main/training_args.bin
- Command line
-
hf download hf://aleegis11/e85d6be1-bf57-4958-8693-8a06031c4728/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aleegis11/e85d6be1-bf57-4958-8693-8a06031c4728/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- c2f4aaa16007bde16a8229afea3345cb419d4e6b2eee79aa9e4519cd2cef32ca
- Size of remote file:
- 6.84 kB
- SHA256:
- 94aa1243b7e319480d0681572d7bb265c49572f6037f6c4bb8b9b557009e7d24
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