Instructions to use ludobico/solar_sfttrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ludobico/solar_sfttrain with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("upstage/SOLAR-10.7B-Instruct-v1.0") model = PeftModel.from_pretrained(base_model, "ludobico/solar_sfttrain") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0ff0a34c7e0540957f75e2d318db33b6f642f05920b40efb3511dc9dab44e5a
- Size of remote file:
- 14.2 kB
- SHA256:
- 7f70b77cc195a3f598765730dd04ed398766e99cbf2c8fd1016958927b5367c8
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