Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
如下报错
(0) Invalid argument: Input to reshape is a tensor with 399000 values, but the requested shape has 376200
[[{{node layer_crf_dense/Tensordot}}]]
[[layer_crf/mul/_2999]]
(1) Invalid argument: Input to reshape is a tensor with 399000 values, but the requested shape has 376200
[[{{node layer_crf_dense/Tensordot}}]]
[Paste requirements.txt file here]
检查model_info.json,发现layer_crf的output_dim为33，但转移概率矩阵却是35*35
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如下报错 (0) Invalid argument: Input to reshape is a tensor with 399000 values, but the requested shape has 376200 [[{{node layer_crf_dense/Tensordot}}]] [[layer_crf/mul/_2999]] (1) Invalid argument: Input to reshape is a tensor with 399000 values, but the requested shape has 376200 [[{{node layer_crf_dense/Tensordot}}]] [Paste requirements.txt file here]