Uploading MVAE in asenella/mhd_config_1_MVAE_beta_5_scale_True_seed_1
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:b07c2f95c0adb691214217f1c6eff0df9fc17a9ca04f0bec986d14c2edf80b94
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size 32018753
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encoders.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:31f4abbccf4fdf17c7b1d96edcfaaefa86108df77a42a20b50ce43223d9893a6
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size 49378774
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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:d0ac33619d53950d465ee367ac62ad8cdb9c2d2cc359aba688198ea79c44a0db
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size 81330637
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model_config.json
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{"name": "MVAEConfig", "n_modalities": 3, "latent_dim": 64, "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"], "use_subsampling": true, "k": 1, "warmup": 100, "beta": 0.5}
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