Uploading MVAE in asenella/reproducing_mvae
Browse files- README.md +13 -0
- decoders.pkl +3 -0
- encoders.pkl +3 -0
- model.pt +3 -0
- model_config.json +1 -0
README.md
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---
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language: en
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tags:
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- multivae
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license: apache-2.0
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---
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### Downloading this model from the Hub
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This model was trained with multivae. It can be downloaded or reloaded using the method `load_from_hf_hub`
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```python
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>>> from multivae.models import AutoModel
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>>> model = AutoModel.load_from_hf_hub(hf_hub_path="your_hf_username/repo_name")
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```
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decoders.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:c9e996b11466139adc60a540124725daab72d9bd7989d0219f9641d2a50933aa
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size 7756630
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encoders.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:362f5908d55216fed6791fe8448098985ace10d4d6b0fe3863abb0b53bf4eca0
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size 17839842
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:685f65f72a64c7f9bbcc2aef8a6c9fd46e2ac3ea40d39c5021f7c071f5ee0aa5
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size 25543810
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model_config.json
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{"name": "MVAEConfig", "n_modalities": 2, "latent_dim": 100, "input_dims": {"image": [3, 64, 64], "attributes": [18]}, "uses_likelihood_rescaling": true, "rescale_factors": {"image": 1, "attributes": 10}, "decoders_dist": {"image": "normal", "attributes": "normal"}, "decoder_dist_params": {}, "custom_architectures": ["encoders", "decoders", "encoders", "decoders", "encoders", "decoders"], "k": 0, "warmup": 20}
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