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:
- ba90e52c510c0254d45761667969a46a6de7f4f21223af182674d0d3316afaba
- Size of remote file:
- 1.37 GB
- SHA256:
- 5967f68c2a5c471c3df04e0d1f0e56448a7ddba16e04687f97b10ae0418fcc22
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