Instructions to use infogep/3cf595e8-8aae-4e79-9751-d0227175705f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use infogep/3cf595e8-8aae-4e79-9751-d0227175705f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lcw99/zephykor-ko-7b-chang") model = PeftModel.from_pretrained(base_model, "infogep/3cf595e8-8aae-4e79-9751-d0227175705f") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from infogep/3cf595e8-8aae-4e79-9751-d0227175705f: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/infogep/3cf595e8-8aae-4e79-9751-d0227175705f/resolve/main/training_args.bin
- Command line
-
hf download hf://infogep/3cf595e8-8aae-4e79-9751-d0227175705f/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/infogep/3cf595e8-8aae-4e79-9751-d0227175705f/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- e7255efb691a72fa5ceef72ab43d2e57f69f6471c86e7fcec35b32bf91ec8876
- Size of remote file:
- 6.78 kB
- SHA256:
- 1b4b6f7b7897e20f6a8b94b05e53880bf3dced3c8025286b92f80e942f0215c2
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