Instructions to use adediu25/binary_trained_weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adediu25/binary_trained_weights with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "adediu25/binary_trained_weights") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 022fc4e82e35249e0c0098e38fd2a2013960e3398dc93b40be549ab5655b7867
- Size of remote file:
- 4.92 kB
- SHA256:
- 9b6fd0632606ad859cca95a54edaf0eb57705759451190885c2a657c21a2e971
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