Instructions to use JoPmt/absflic8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoPmt/absflic8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JoPmt/absflic8", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update unet/config.json
Browse files- unet/config.json +1 -1
unet/config.json
CHANGED
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@@ -1,7 +1,7 @@
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.23.0",
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-
"_name_or_path": "/
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"act_fn": "silu",
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.23.0",
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+
"_name_or_path": "JoPmt/absflic8/unet",
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"act_fn": "silu",
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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