Instructions to use shibajustfor/12403545-0051-47c7-b61d-a0960a950580 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shibajustfor/12403545-0051-47c7-b61d-a0960a950580 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-SOLAR-10.7B") model = PeftModel.from_pretrained(base_model, "shibajustfor/12403545-0051-47c7-b61d-a0960a950580") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 355ae76f54f4600c559583614fd34b824485ca7e6a46bd08b7bae1cd4d2d3ac6
- Size of remote file:
- 504 MB
- SHA256:
- 58121c4ce66eda4cfc9d16ae335e56c5eba4b7ea109cbf0ed55995429b96a9f1
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