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:
- 37d3997ff34cfb3806ed541f4119fc62736bb4e0c90924acfda7471c400d23ac
- Size of remote file:
- 4.98 kB
- SHA256:
- 6eba3424d23abb83c09f4f1790ac92b6b1d81ea3c602423d54af18418589432c
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