Instructions to use remyxai/SpaceLLaVA-lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use remyxai/SpaceLLaVA-lite with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("remyxai/SpaceLLaVA-lite", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9af00fe9134fc3d3f4341430aa3a02e8ccf840a6a5fb27916982a45f4735a2cf
- Size of remote file:
- 132 Bytes
- SHA256:
- 1b101765543b19146592c08b945bea6a35471d178a55a1a503f73cde7501553c
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