![[[tensor([[[-5.8572e-01, -1.8643e+00, 3.8295e-01, ..., 9.8281e-01, 1.5267e+00, -4.0834e-01],
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[[tensor([[[-5.8572e-01, -1.8643e+00, 3.8295e-01, ..., 9.8281e-01, 1.5267e+00, -4.0834e-01], [ 3.3923e+00, 3.7668e+01, -1.4363e+00, ..., 7.5519e-01, -6.6387e-01, 9.6909e-01], [ 2.9220e+00, 1.7153e+01, -1.3872e+00, ..., -9.7942e-01, -2.4618e+00, -5.7268e-01], ..., [ 1.7534e+00, 9.2196e+00, -1.1313e+00, ..., -2.3320e+00, 2.3882e+00, -1.3647e+00], [ 9.0715e-01, -4.1141e+00, -1.3270e+00, ..., -9.9901e-01, 5.0394e-01, -8.9441e-01], [-1.4946e-01, 3.4349e-01, -1.2911e+00, ..., 2.7669e-02, 8.9242e-01, -1.2933e+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, 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]]), 't5xxl_ids': tensor([27144, 834, 13287, 986, 3, 8240, 8008, 29, 6, 872, 1133, 6, 3117, 4459, 2053, 6, 3117, 1133, 6, 2053, 8552, 6, 9891, 6, 3, 6293, 7, 6, 1001, 3270, 6, 1001, 2131, 3010, 365, 3270, 6, 18915, 6, 2131, 17, 63, 9672, 6, 27635, 6, 27323, 903, 45, 666, 992, 6, 2515, 106, 992, 6, 451, 14602, 160, 6026, 6, 20975, 6, 200, 463, 6, 2604, 834, 1298, 6, 2604, 834, 11864, 2604, 834, 940, 6, 306, 60, 7, 6, 20135, 60, 7, 6, 6173, 3117, 6, 4816, 992, 6, 419, 6835, 6, 12082, 869, 3, 6, 1], dtype=torch.int32), 't5xxl_weights': tensor([1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.1000, 1.1000, 1.1000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.0000, 1.2100, 1.2100, 1.2100, 1.2100, 1.2100, 1.0000, 1.0000, 1.0000])}]]
Parameters used to generate this content
[[tensor([[[ -0.8570, 39.9137, 0.1619, ..., 0.8258, 1.1238, -1.6935], [ -1.7551, -2.0873, -1.2725, ..., -0.1188, 0.7376, 0.0739], [ 1.4869, -17.1193, -1.2975, ..., -0.4581, 1.2698, -0.7848], ..., [ 0.9407, -8.4648, -1.4037, ..., -2.0760, -1.2697, -1.7827], [ 0.3351, -17.4565, -1.3265, ..., -1.0269, 2.1915, -0.8836], [ 1.1469, -4.9722, -1.2788, ..., -1.8783, 0.6263, -1.9954]]]), {'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, 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, 22432, 6, 3, 29, 7, 89, 210, 6, 206, 221, 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., 1., 1., 1., 1., 1., 1., 1.])}]]
Copies the original metadata text embedded by AUTOMATIC1111.
AI models used to generate this content