Uploading MMVAEPlus in asenella/mmnist_MMVAEPlusconfig2_seed_0_ratio_0_c
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 sha256:9a65f9e6ccf5d8d60c92bf30a3f4466624d0f016b0f5b2794a3f62b08e4dbc6d
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size 10381538
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encoders.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:57e43f3e2a46d5047ed1d9a41238ab1fad124770aee7924c537947b1abf329bd
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size 18803032
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:6f3a4063e48e3866442c93ee14f35c808e5f8914a5c16b49621bb26bb27c05e2
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size 29133077
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model_config.json
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{"name": "MMVAEPlusConfig", "n_modalities": 5, "latent_dim": 104, "input_dims": {"m0": [3, 28, 28], "m1": [3, 28, 28], "m2": [3, 28, 28], "m3": [3, 28, 28], "m4": [3, 28, 28]}, "uses_likelihood_rescaling": false, "rescale_factors": null, "decoders_dist": {"m0": "laplace", "m1": "laplace", "m2": "laplace", "m3": "laplace", "m4": "laplace"}, "decoder_dist_params": {"m0": {"scale": 0.75}, "m1": {"scale": 0.75}, "m2": {"scale": 0.75}, "m3": {"scale": 0.75}, "m4": {"scale": 0.75}}, "custom_architectures": ["encoders", "decoders"], "K": 1, "prior_and_posterior_dist": "normal", "learn_shared_prior": true, "learn_modality_prior": true, "beta": 1.0, "modalities_specific_dim": 102, "reconstruction_option": "joint_prior"}
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