Uploading MMVAEPlus in asenella/MHD_MMVAEPlus_ufrw62cz
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 sha256:856404a2300c7ae3c2b4e45bb164bfc7deb76b40cd32c099fe2885cd775b012a
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size 32019123
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encoders.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:1a1f651be7ca55bfe64f8683b3053bd339afc6faade58f619883c7dde80d4c90
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size 96903310
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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:a6f4f4f7d9d17e9ee934c0188e9780abacf315dde777219c3c40c59c38533244
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size 128845598
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model_config.json
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{"name": "MMVAEPlusConfig", "n_modalities": 3, "latent_dim": 32, "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"], "K": 10, "prior_and_posterior_dist": "normal", "learn_shared_prior": false, "learn_modality_prior": true, "beta": 0.5, "modalities_specific_dim": 32, "reconstruction_option": "joint_prior", "loss": "dreg_looser"}
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