Instructions to use prxy5608/7444042c-6afb-45bf-8c89-6a0f46617e31 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/7444042c-6afb-45bf-8c89-6a0f46617e31 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TitanML/tiny-mixtral") model = PeftModel.from_pretrained(base_model, "prxy5608/7444042c-6afb-45bf-8c89-6a0f46617e31") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3317a72d25c82663625129ccdc761c36af8070316a60f088da7b53e1a00b3142
- Size of remote file:
- 60.6 MB
- SHA256:
- 7c6f9376fb7936dbb8046c8937bc3e0f81cbf65a583e70b794dfdd1ce8a0d713
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