Instructions to use merve/gemma4-multiimage-thinking-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use merve/gemma4-multiimage-thinking-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("merve/gemma4-multiimage-thinking-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a439099e9528bcd2b36ce8ce6d4d879fe455390314bdaa7440d637265ace88eb
- Size of remote file:
- 5.71 kB
- SHA256:
- ec37d78881824f845e7ab79621221ae4d83950c62743069ea5c9a74740fa7e11
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