Text Generation
PEFT
Safetensors
English
lora
control-theory
regularization
information-theory
llama
adapter
Instructions to use hunterbown/shannon-control-unit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hunterbown/shannon-control-unit with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B") model = PeftModel.from_pretrained(base_model, "hunterbown/shannon-control-unit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2387e1db8c56dee256219001bb15d8014a8dbc21fcb53199dc4d416a14a84a71
- Size of remote file:
- 17.2 MB
- SHA256:
- 76cfe2f054560aae896b2b75e273dc97a39e304d4ad19c44a9727a1d6b33c4cc
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