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

{
,    'input_ids': <tf.Tensor: shape=(2, 16), dtype=int32, numpy=
,        array([
,            [  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]
,        ], dtype=int32)>, 
,    'attention_mask': <tf.Tensor: shape=(2, 16), dtype=int32, numpy=
,        array([
,            [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]
,        ], dtype=int32)>
,}

(2, 16, 768)

(2, 2)

<tf.Tensor: shape=(2, 2), dtype=float32, numpy=
,    array([[-1.5606991,  1.6122842],
,           [ 4.169231 , -3.3464472]], dtype=float32)>

tf.Tensor(
,[[4.01951671e-02 9.59804833e-01]
, [9.9945587e-01 5.4418424e-04]], shape=(2, 2), dtype=float32)

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