Uploading MVTCAE in asenella/MHD_MVTCAE_xfz82cc3
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:c78ee591f8d08612032d711b3a80f2f6252b21b779f559fd219dd136d9aeaa05
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size 27927298
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encoders.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec6796a5c834751bcb4568832d2de10711833dd91803f3d5413cc6609d3499c1
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size 47829667
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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 sha256:7bd2cd44ecff22f39bc915f18cc434ce87a12b0224ec0bd83868301a2070ed61
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size 75689722
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model_config.json
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{"name": "MVTCAEConfig", "n_modalities": 3, "latent_dim": 10, "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": {}, "logits_to_std": "standard", "custom_architectures": ["encoders", "decoders"], "alpha": 0.9, "beta": 1.0}
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