Instructions to use merve/conv-autoencoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use merve/conv-autoencoder with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("merve/conv-autoencoder") - Notebooks
- Google Colab
- Kaggle
Add model
Browse files- README.md +5 -0
- keras_metadata.pb +3 -0
- saved_model.pb +3 -0
- variables/variables.data-00000-of-00001 +0 -0
- variables/variables.index +0 -0
README.md
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---
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tags:
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- Keras
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---
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# TODO: Fill this model card
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keras_metadata.pb
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version https://git-lfs.github.com/spec/v1
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oid sha256:46f86072880fff1586281d1b0110c13f047cf3a018ebe6d3210a1191526a0e69
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size 19699
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saved_model.pb
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version https://git-lfs.github.com/spec/v1
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oid sha256:303a2dc2f37d24b2070464c402635bb827b0c3ac2f4f0d43dc6f5c3644ea99fe
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size 153380
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variables/variables.data-00000-of-00001
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Binary file (118 kB). View file
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variables/variables.index
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Binary file (905 Bytes). View file
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