Instructions to use melsiddieg/gemma3-4b-lora-arud-aren-16bit-1.3k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use melsiddieg/gemma3-4b-lora-arud-aren-16bit-1.3k with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("melsiddieg/gemma3-4b-lora-arud-aren-16bit-1.3k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
(Trained with Unsloth)
Browse files
model-00002-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:972e7c8c6a9fc0c9fba4ace9ccaa5e88d829607a97412c5d785b773d4351f11c
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size 3639026128
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