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:
- 4c3b1adffd8af740730185071dd5c345ad658d873982b75c9010758b1c0d8446
- Size of remote file:
- 504 MB
- SHA256:
- ad94129b079ed59ba1280e5411adfa10dd44bd9f2e59534fa2e832ae6e12909f
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