Uploading MoPoE in asenella/reproducing_mopoe
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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- pythae
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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 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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```
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decoders.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:472eb756546b0057f59983529a87eedfc16df2a9e94e7bcce19af0ce3046009d
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size 22916965
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encoders.pkl
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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
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model.pt
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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
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model_config.json
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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}
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