[{'label': 'POSITIVE', 'score': 0.9598047137260437},
, {'label': 'NEGATIVE', 'score': 0.9994558095932007}]

{
,    'input_ids': tensor([
,        [  101,  1045,  1005,  2310,  2042,  3403,  2005,  1037, 17662, 12172, 2607,  2026,  2878,  2166,  1012,   102],
,        [  101,  1045,  5223,  2023,  2061,  2172,   999,   102,     0,     0,     0,     0,     0,     0,     0,     0]
,    ]), 
,    '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, 0, 0, 0, 0, 0, 0, 0, 0, 0]
,    ])
,}

torch.Size([2, 16, 768])

torch.Size([2, 2])

tensor([[-1.5607,  1.6123],
,        [ 4.1692, -3.3464]], grad_fn=<AddmmBackward>)

tensor([[4.0195e-02, 9.5980e-01],
,        [9.9946e-01, 5.4418e-04]], grad_fn=<SoftmaxBackward>)

{0: 'NEGATIVE', 1: 'POSITIVE'}