Instructions to use ErrorAI/09a4aa63-88ad-436b-ba5b-34754a225007 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ErrorAI/09a4aa63-88ad-436b-ba5b-34754a225007 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "ErrorAI/09a4aa63-88ad-436b-ba5b-34754a225007") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ErrorAI/09a4aa63-88ad-436b-ba5b-34754a225007: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/ErrorAI/09a4aa63-88ad-436b-ba5b-34754a225007/resolve/5cc7c78f281915cb378745c841e230598fcb815c/training_args.bin
- Command line
-
hf download hf://ErrorAI/09a4aa63-88ad-436b-ba5b-34754a225007@5cc7c78f281915cb378745c841e230598fcb815c/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ErrorAI/09a4aa63-88ad-436b-ba5b-34754a225007/resolve/5cc7c78f281915cb378745c841e230598fcb815c/training_args.bin
6.78 kB
- Xet hash:
- 42de08f6cb368d1da5ddfa007b24201347a99e2fc2f2e01f6eaa390ded4567a3
- Size of remote file:
- 6.78 kB
- SHA256:
- 5a0aa4d67a55c695ed6693a9a4569b45bb7fea420dffdcb0312de61969b074ac
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