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        "description": "# PyTorch Embedding Similarity\n\n[![Travis](https://travis-ci.org/CyberZHG/torch-embed-sim.svg)](https://travis-ci.org/CyberZHG/torch-embed-sim)\n[![Coverage](https://coveralls.io/repos/github/CyberZHG/torch-embed-sim/badge.svg?branch=master)](https://coveralls.io/github/CyberZHG/torch-embed-sim)\n\n## Install\n\n```bash\npip install torch-embed-sim\n```\n\n## Usage\n\n```python\nfrom torch_embed_sim import EmbeddingSim\n\n\nclass Net(nn.Module):\n\n    def __init__(self):\n        super(Net, self).__init__()\n        self.embed = torch.nn.Embedding(num_embeddings=10, embedding_dim=20)\n        self.embed_sim = EmbeddingSim(num_embeddings=10)\n\n    def forward(self, x):\n        return self.embed_sim(self.embed(x), self.embed.weight)\n```",
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