Instructions to use baycon/for_Colab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baycon/for_Colab with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("baycon/for_Colab", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload config.json
Browse files- config.json +1 -1
config.json
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{
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"samples_save": true,
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"samples_format": "png",
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"samples_filename_pattern": "",
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"save_images_add_number": true,
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"grid_save": false,
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"grid_format": "png",
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{
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"samples_save": true,
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"samples_format": "png",
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"samples_filename_pattern": "[datetime] [seed] [model_name]",
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"save_images_add_number": true,
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"grid_save": false,
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"grid_format": "png",
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