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:
- 00b47c12fd7b99fc29f90e6fc9878439e213f304f74d90a9e68a6f629b6de50b
- Size of remote file:
- 6.78 kB
- SHA256:
- fe8e6d68f7e07f070733da6836e7804fc5fb9813f29b9f489f0d7f90a5ccdc1c
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