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模型: microsoft/deberta-xlarge-mnli
["The Old One always comforted Ca'daan, except today.",
"Ca'daan knew the Old One very well."]
SequenceClassifierOutput(loss=None, logits=tensor([[-2.9199, 2.9344, 0.1211]],
grad_fn=<AddmmBackward>), hidden_states=None, attentions=None)
['Your gift is appreciated by each and every student who will benefit from your generosity.',
'Hundreds of students will benefit from your generosity.']
SequenceClassifierOutput(loss=None, logits=tensor([[-3.2119, 3.4292, -0.2982]],
grad_fn=<AddmmBackward>), hidden_states=None, attentions=None)
['At the other end of Pennsylvania Avenue, people began to line up for a White House tour.',
'People formed a line at the end of Pennsylvania Avenue.']
SequenceClassifierOutput(loss=None, logits=tensor([[-3.0864, -0.7420, 3.8967]],
grad_fn=<AddmmBackward>), hidden_states=None, attentions=None)
Tensor(shape=[1, 3], dtype=float32, place=CPUPlace, stop_gradient=False,
[[-2.91994166, 2.93442702, 0.12114432]])
Tensor(shape=[1, 3], dtype=float32, place=CPUPlace, stop_gradient=False,
[[-3.21190572, 3.42924452, -0.29815635]])
Tensor(shape=[1, 3], dtype=float32, place=CPUPlace, stop_gradient=False,
[[-3.08641791, -0.74200279, 3.89673424]])
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