Instructions to use Q-bert/MOLAR-10.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Q-bert/MOLAR-10.7B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("kyujinpy/Sakura-SOLAR-Instruct") model = PeftModel.from_pretrained(base_model, "Q-bert/MOLAR-10.7B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b63dec397e9f9ca4179c713bbdd7d65b847e30776c06561be2be292278af2ba9
- Size of remote file:
- 4.6 kB
- SHA256:
- b13888e1525fdf9d3468ebdd260739e3df79c04aa47f5991645035ebb184eab4
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