Instructions to use itsalissonsilva/Restriction-Learning-Experiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use itsalissonsilva/Restriction-Learning-Experiment with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-1b-it") model = PeftModel.from_pretrained(base_model, "itsalissonsilva/Restriction-Learning-Experiment") - Notebooks
- Google Colab
- Kaggle
Download interpretability/results.json from itsalissonsilva/Restriction-Learning-Experiment: direct link, hf CLI and curl.
- Browser
- Download file 1.42 MB
-
https://huggingface.co/itsalissonsilva/Restriction-Learning-Experiment/resolve/main/interpretability/results.json
- Command line
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hf download hf://itsalissonsilva/Restriction-Learning-Experiment/interpretability/results.json
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curl -L -o results.json https://huggingface.co/itsalissonsilva/Restriction-Learning-Experiment/resolve/main/interpretability/results.json
1.42 MB
File too large to display, you can check the raw version instead.