Instructions to use FoundationVision/groma-7b-pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FoundationVision/groma-7b-pretrain with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FoundationVision/groma-7b-pretrain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +0 -1
config.json
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@@ -65,7 +65,6 @@
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"patch_size": 14,
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"torch_dtype": "float32"
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},
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"vis_encoder_path": "checkpoints/dinov2-large",
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"vis_output_layer": -2,
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"zs_weight_path": null
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},
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"patch_size": 14,
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"torch_dtype": "float32"
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},
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"vis_output_layer": -2,
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"zs_weight_path": null
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},
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