Uploading JNF in asenella/mhd128_beta_250_seed_0
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 sha256:39134a561695ee7e3676bb20134e043e640313016358ff8a5c50714e5696c2b3
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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 sha256:3c20b9d86175843602cc48d740696c0f59c47298910fae18ff384bbedaaf9e52
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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 sha256:1d169e3c2af1f99914dc0b9f66070239c16dbc86859c55622fd54107554ea35c
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size 145535057
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model_config.json
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{"name": "JNFConfig", "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"], "warmup": 200, "beta": 2.5}
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