Uploading VQVAE in Aceticia/vqvae_voc_mooney
Browse files- README.md +13 -0
- decoder.pkl +3 -0
- encoder.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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- pythae
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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 pythae. It can be downloaded or reloaded using the method `load_from_hf_hub`
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```python
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>>> from pythae.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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decoder.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:e3826dc6ee55d91d7ed6f54b8d3cb950a93951c0957fa078f4c0361aeb49ee8e
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size 3426273
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encoder.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:6f19e3b2a6c302d8c483eda5ca928b1ad948b4a8b9493521038ada078667c492
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size 2082935
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environment.json
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{"name": "EnvironmentConfig", "python_version": "3.11"}
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:1a453f08891aa9cc0462cedc96780055c09be87cdc900d3e6206565df0134d58
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size 5564446
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model_config.json
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{"name": "VQVAEConfig", "input_dim": [1, 256, 256], "latent_dim": 64, "uses_default_encoder": false, "uses_default_decoder": false, "commitment_loss_factor": 0.25, "quantization_loss_factor": 1.0, "num_embeddings": 128, "use_ema": true, "decay": 0.99}
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