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:
- e123fafcd611c5f7e9d12f17bcdc22b52ddf8179fad4940b502d6a7c2890fc49
- Size of remote file:
- 243 kB
- SHA256:
- 928fb9da96f3ac5793a1878327849b58f26112fa44a008a18f98d736e2b37f57
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