merterden98

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precise

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• "collections.OrderedDict",
• "esm.multihead_attention.MultiheadAttention",
• "torch.IntStorage",
• "torch.nn.modules.activation.ReLU",
• "torch._utils._rebuild_parameter",
• "torch.nn.modules.linear.NonDynamicallyQuantizableLinear",
• "torch._utils._rebuild_tensor_v2",
• "esm.modules.ESM1LayerNorm",
• "torch.nn.modules.container.Sequential",
• "torch.nn.modules.distance.CosineSimilarity",
• "concise.model.concise.CosinePredictor",
• "concise.model.fsq.ParamfreeFSQ",
• "torch.nn.modules.activation.MultiheadAttention",
• "concise.model.fsq.ResidualFSQ",
• "torch.nn.modules.container.ModuleList",
• "esm.modules.TransformerLayer",
• "torch.nn.modules.linear.Linear",
• "esm.rotary_embedding.RotaryEmbedding",
• "__builtin__.set",
• "concise.model.drug_decoder.DrugEncoder",
• "torch.FloatStorage",
• "einops.layers.torch.Rearrange",
• "concise.model.concise.ConciseSA",
• "torch.nn.modules.activation.GELU",
• "torch.nn.modules.normalization.LayerNorm"

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