Download eval.py from EnerTEF/ChebAutoencoder: direct link, hf CLI and curl.
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- Download file 296 Bytes
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https://huggingface.co/EnerTEF/ChebAutoencoder/resolve/238676a0efae935cbccb9ef49685f063d194d36d/eval.py
- Command line
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hf download hf://EnerTEF/ChebAutoencoder@238676a0efae935cbccb9ef49685f063d194d36d/eval.py
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curl -L -o eval.py https://huggingface.co/EnerTEF/ChebAutoencoder/resolve/238676a0efae935cbccb9ef49685f063d194d36d/eval.py
296 Bytes
| import torch | |
| from HuggingFaceProjects.FalseDetector.AutoencoderCheb import AutoEncoderModel | |
| model = AutoEncoderModel(cuda_true=True, batch_size=32) | |
| model.load_state_dict(torch.load("/home/roth/git_projects/HuggingFaceProjects/FalseDetector/gae_25_08_2025.pt")) | |
| print("model", model) | |
| model.eval() |