Uploading MVTCAE in asenella/mhd128_alpha_90_beta_50_seed_2
Browse files- README.md +13 -0
- decoders.pkl +3 -0
- encoders.pkl +3 -0
- environment.json +1 -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 sha256:4ae7b0f9855ca01eeb28ec5e1800c7cd37e0596ad2002b2bbaedf78635d0a2c2
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size 36868419
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encoders.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:34d187d9f212ae0c2ead1fea650e7caff33c5053615bceeddf6b55b3421161da
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size 51215322
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environment.json
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{"name": "EnvironmentConfig", "python_version": "3.10"}
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:6319138345a7b51c5375517f4139f58ce6055b3113ad64354102b6115e3cc858
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size 88016845
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model_config.json
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{"name": "MVTCAEConfig", "n_modalities": 3, "latent_dim": 128, "input_dims": {"image": [3, 28, 28], "audio": [1, 32, 128], "trajectory": [200]}, "uses_likelihood_rescaling": true, "rescale_factors": null, "decoders_dist": {"image": "normal", "audio": "normal", "trajectory": "normal"}, "decoder_dist_params": {}, "custom_architectures": ["encoders", "decoders"], "alpha": 0.9, "beta": 0.5}
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