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:
- 476ef825de0ab433cc77080549020bbc3543a83346b6b2e7cb2b03b958a51655
- Size of remote file:
- 1.06 kB
- SHA256:
- 40fba9454a7c92a7ef45c7b3fa371b3fedfd6f69cf784c6e50cd27441fe805de
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