Instructions to use error577/a1e28f1c-80a3-4aaa-a58f-0cd6cba47922 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/a1e28f1c-80a3-4aaa-a58f-0cd6cba47922 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("MNC-Jihun/Mistral-7B-AO-u0.5-b2-ver0.4") model = PeftModel.from_pretrained(base_model, "error577/a1e28f1c-80a3-4aaa-a58f-0cd6cba47922") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 076a43933f79c548e4a2bfeabeed704cc5df3b827a0f2f91028006bb370ce2d4
- Size of remote file:
- 608 MB
- SHA256:
- aa8ad3c6600a8ddde96bd8a2bfa991f07fc8d70621bbb4a503fbb7a4e83cfcd3
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