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:
- 78054d8d9c21dfe9d58cd0dc31dc87267a494ca39627339e7508f8a6c7b510a8
- Size of remote file:
- 6.65 kB
- SHA256:
- 4bac162247171f90d227b2cf04f87385642cc95a3aabbce5df3ccb87f0a04126
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