dragon10

新手安装和使用案例不是很友好

3

编译安装；案例使用小白表示看不大懂文档，文档写的东一块西一块；简单案例都复现不出来，打击信心

``` from transformers import AutoModelForTokenClassification,AutoTokenizer,pipeline model = AutoModelForTokenClassification.from_pretrained('uer/roberta-base-finetuned-cluener2020-chinese') tokenizer = AutoTokenizer.from_pretrained('uer/roberta-base-finetuned-cluener2020-chinese') ner = pipeline('ner', model=model, tokenizer=tokenizer) print(ner("江苏警方通报特斯拉冲进店铺")) ``` 

python video_demo.py --video 1.avi has no results

3

File "video_demo.py", line 111, in model(get_test_input(inp_dim, CUDA), CUDA) File "C:\Users\Lavector\python3\lib\site-packages\torch\nn\modules\module.py", line 489, in __call__ result = self.forward(*input, **kwargs) File "C:\Users\Lavector\Desktop\imageai\pytorch-yolo-v3-master\darknet.py", line 346, in forward x = outputs[i-1] + outputs[i+from_] RuntimeError:...

item_embedding_model计算预测物品向量的时候报错误

1

_SymbolicException: Inputs to eager execution function cannot be Keras symbolic tensors, but found []

Please refer to the [FAQ](https://deepctr-doc.readthedocs.io/en/latest/FAQ.html) in doc and search for the [related issues](https://github.com/shenweichen/DeepCTR/issues) before you ask the question. **Describe the question(问题描述)** A clear and concise description of what the question...

tf：2.2.0 keras：2.7 deepctr：0.8.7 报错内容： ValueError: Trying to share variable gru1/gru_cell/gates/kernel, but specified shape (24, 24) and found shape (120, 120).