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:
- e7da6e8c8aae7db09a33ded448beefca2c3a0a0cbf283012e192e5dc314ea7fa
- Size of remote file:
- 3.35 GB
- SHA256:
- f6a51a34a53b270ff3fa129729219f313723638f220342a2b44d749c40cbfc39
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