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.
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You must follow the issue template and provide as much information as possible. otherwise, this issue will be closed. 请按照 issue 模板要求填写信息。如果没有按照 issue 模板填写,将会忽略并关闭这个 issue
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Question
1、请问多标签分类是不是不能callback
2、预测时,短文本小于3个词会报错 ValueError: Negative dimension size caused by subtracting 5 from 4 for '{{node model_1/conv1d/conv1d}} = Conv2D[T=DT_FLOAT, data_format="NHWC", dilations=[1, 1, 1, 1], explicit_paddings=[], padding="VALID", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true](model_1/conv1d/conv1d/ExpandDims, model_1/conv1d/conv1d/ExpandDims_1)' with input shapes: [?,1,4,100], [1,5,100,128]. 请问这是怎么回事?