Instructions to use Melba/GLM-4.6V-FDM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Melba/GLM-4.6V-FDM with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Melba/GLM-4.6V-FDM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a55974ded292a30fcbc556c823260e092c54dbf9739ed5d82f7dcc45f8947c2
- Size of remote file:
- 20 MB
- SHA256:
- c7051ed87046faf442a5a492d6caac8d25d6360696568eeb8048568a8707e5ab
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