kevinwei1975
kevinwei1975
AttributeError: module 'tensorflow.contrib.rnn' has no attribute 'IndRNNCell'
tensorflow.python.framework.errors_impl.UnimplementedError: Cast string to float is not supported, 意思是不能将字符型转浮点型。
迭代运行10W,100W次，LOSS值始终无法收敛？
在doc2vec_sim.py这个文件中一运行到 model = g.Doc2Vec.load(model_path)，就报错。 具体报错信息：_pickle.unpickingError:invalid load key '\xca' 报错环境： Linux-4,15-1032-x86_64-with-debian-stretch-sid GCC 5.4.0 20160609 python3.6.5 gensim=3.7.3 numpy=1.15.1 scipy=1.1.0 FAST_VERSION 1
请问在Windows环境下使用PDF-Extract-Kit进行二次开发有视频吗？我想利用它识别PDF之后，传给大模型做RAG，这一块有视频教程吗？
ChatPDF功能存在的问题使用chatglm4运行 chatpdf.py直接报错。如下所示。 (mindspore) root@autodl-container-bff2469f3e-a4796232:~/autodl-tmp/ChatPDF# python chatpdf.py Building prefix dict from the default dictionary ... Loading model from cache /tmp/jieba.cache Loading model cost 0.749 seconds. Prefix dict has been built successfully....
ChatPDF功能存在的问题使用chatglm3运行 chatpdf.py直接报错。如下所示。 (mindspore) root@autodl-container-bff2469f3e-a4796232:~/autodl-tmp/ChatPDF# python chatpdf.py Building prefix dict from the default dictionary ... Loading model from cache /tmp/jieba.cache Loading model cost 0.976 seconds. Prefix dict has been built successfully....
ChatPDF功能存在的问题运行complex_ui.py直接报如下错误。 (mindspore) root@autodl-container-bff2469f3e-a4796232:~/autodl-tmp/ChatPDF# python complex_ui.py Building prefix dict from the default dictionary ... Loading model from cache /tmp/jieba.cache Loading model cost 0.529 seconds. Prefix dict has been built successfully. The...
运行python simple_ui.py直接报如下错误。 (mindspore) root@autodl-container-bff2469f3e-a4796232:~/autodl-tmp/ChatPDF# python simple_ui.py Building prefix dict from the default dictionary ... Loading model from cache /tmp/jieba.cache Loading model cost 0.559 seconds. Prefix dict has been built successfully....
执行以下命令时，虽得到了正确结果，但推理没有使用GPU，运行了5分钟才出结果，太慢了。 (mindspore) root@autodl-container-bff2469f3e-a4796232:~/autodl-tmp/ChatPDF# python chatpdf.py Building prefix dict from the default dictionary ... Loading model from cache /tmp/jieba.cache Loading model cost 0.960 seconds. Prefix dict has been built successfully. Namespace(sim_model_name='shibing624/text2vec-base-multilingual',...