Instructions to use gpol13/gemma3_sparse_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gpol13/gemma3_sparse_lora 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, "gpol13/gemma3_sparse_lora") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from gpol13/gemma3_sparse_lora: direct link, hf CLI and curl.
- Browser
- Download file 1.16 MB
-
https://huggingface.co/gpol13/gemma3_sparse_lora/resolve/main/tokenizer_config.json
- Command line
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hf download hf://gpol13/gemma3_sparse_lora/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/gpol13/gemma3_sparse_lora/resolve/main/tokenizer_config.json
1.16 MB
File too large to display, you can check the raw version instead.