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Uploading MoPoE in asenella/reproducing_mopoe

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Files changed (5) hide show
  1. README.md +13 -0
  2. decoders.pkl +3 -0
  3. encoders.pkl +3 -0
  4. model.pt +3 -0
  5. model_config.json +1 -0
README.md ADDED
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+ ---
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+ language: en
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+ tags:
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+ - pythae
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+ license: apache-2.0
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+ ---
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+
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+ ### Downloading this model from the Hub
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+ This model was trained with pythae. 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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+ ```
decoders.pkl ADDED
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+ size 22916965
encoders.pkl ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:b73e888e68a7f4f72068675b0ed433a12cb828fb50f5e219fb36283b958cb87b
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+ size 33404483
model.pt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:44fd736166427e4ff781f02a6914f138bdf62e16df297209a9390b31f7a884ac
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+ size 56258989
model_config.json ADDED
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+ {"name": "MoPoEConfig", "n_modalities": 5, "latent_dim": 512, "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, "decoders_dist": {"m0": "laplace", "m1": "laplace", "m2": "laplace", "m3": "laplace", "m4": "laplace"}, "decoder_dist_params": {}, "custom_architectures": ["encoders", "decoders"], "subsets": {"": [], "m0": ["m0"], "m1": ["m1"], "m2": ["m2"], "m3": ["m3"], "m4": ["m4"], "m0_m1": ["m0", "m1"], "m0_m2": ["m0", "m2"], "m0_m3": ["m0", "m3"], "m0_m4": ["m0", "m4"], "m1_m2": ["m1", "m2"], "m1_m3": ["m1", "m3"], "m1_m4": ["m1", "m4"], "m2_m3": ["m2", "m3"], "m2_m4": ["m2", "m4"], "m3_m4": ["m3", "m4"], "m0_m1_m2": ["m0", "m1", "m2"], "m0_m1_m3": ["m0", "m1", "m3"], "m0_m1_m4": ["m0", "m1", "m4"], "m0_m2_m3": ["m0", "m2", "m3"], "m0_m2_m4": ["m0", "m2", "m4"], "m0_m3_m4": ["m0", "m3", "m4"], "m1_m2_m3": ["m1", "m2", "m3"], "m1_m2_m4": ["m1", "m2", "m4"], "m1_m3_m4": ["m1", "m3", "m4"], "m2_m3_m4": ["m2", "m3", "m4"], "m0_m1_m2_m3": ["m0", "m1", "m2", "m3"], "m0_m1_m2_m4": ["m0", "m1", "m2", "m4"], "m0_m1_m3_m4": ["m0", "m1", "m3", "m4"], "m0_m2_m3_m4": ["m0", "m2", "m3", "m4"], "m1_m2_m3_m4": ["m1", "m2", "m3", "m4"], "m0_m1_m2_m3_m4": ["m0", "m1", "m2", "m3", "m4"]}, "beta": 2.5}