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Parameters used to generate this content
[[tensor([[[-8.5704e-01, 3.9914e+01, 1.6188e-01, ..., 8.2578e-01, 1.1238e+00, -1.6935e+00], [-1.7551e+00, -2.0873e+00, -1.2725e+00, ..., -1.1877e-01, 7.3759e-01, 7.3865e-02], [ 1.4869e+00, -1.7119e+01, -1.2975e+00, ..., -4.5807e-01, 1.2698e+00, -7.8482e-01], ..., [ 2.3513e-01, -9.0511e+00, -1.2805e+00, ..., -1.3031e+00, 1.9882e+00, -1.3232e-01], [ 3.1007e-02, -4.8255e+00, -1.2715e+00, ..., -1.6705e+00, 2.2323e+00, 2.3762e-01], [ 4.0690e-01, -1.0167e+01, -1.2942e+00, ..., -1.0653e+00, 1.3273e+00, -1.2138e+00]]]), {'pooled_output': None, 'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]), 't5xxl_ids': tensor([ 6025, 463, 6, 731, 463, 6, 2604, 834, 4347, 2604, 834, 4482, 2604, 834, 6355, 2604, 834, 8525, 16810, 651, 6, 20, 10816, 6, 996, 3, 9577, 7, 6, 1282, 3, 6, 2377, 564, 6, 5514, 1780, 6, 3586, 10518, 6, 996, 10518, 6, 13888, 7, 6, 1], dtype=torch.int32), 't5xxl_weights': tensor([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])}]]
Copies the original metadata text embedded by AUTOMATIC1111.
AI models used to generate this content