{"library":"torchrec","type":"library","category":null,"description":"TorchRec is a PyTorch library for building and scaling recommendation systems, providing modular building blocks for distributed training, large embeddings, and advanced sharding strategies. Current version is 1.6.0, with a release cadence of roughly quarterly.","language":"python","status":"active","version":"1.6.0","tags":["recommendation-systems","pytorch","embeddings","distributed-training","deep-learning"],"last_verified":"Sat May 09","install":[{"cmd":"pip install torchrec","imports":["from torchrec import EmbeddingBagCollection","from torchrec import KeyedJaggedTensor","from torchrec.models.deepfm import DenseArch"]},{"cmd":"pip install torchrec --prefer-binary","imports":[]}],"homepage":"https://pytorch.org/torchrec/","github":"https://github.com/meta-pytorch/torchrec","docs":null,"changelog":null,"pypi":"https://pypi.org/project/torchrec/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}