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:
- 8595abf611c01aca501d83ccebd6ca350bda3fcf4349276dc19b1bc30717bb24
- Size of remote file:
- 6.84 kB
- SHA256:
- f8f5f6ff42b404ad8dfd6c5516bad428fe2113cedf0da0bca904e8828507becf
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