Instructions to use gpol13/gemma3_qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gpol13/gemma3_qlora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gpol13/gemma3_qlora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from gpol13/gemma3_qlora: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/gpol13/gemma3_qlora/resolve/main/tokenizer.json
- Command line
-
hf download hf://gpol13/gemma3_qlora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/gpol13/gemma3_qlora/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- 364654383fc6be6bc6d48a6d163c711b178492720dd88701a49980f17607ea55
- Size of remote file:
- 33.4 MB
- SHA256:
- ca2f60fd56eabb86ada6d0ef7c30d1ce71e1ed22af2d19e5238a9f0a5cdfa23c
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