Fast and slow tokenizers mismatch due to custom normalization
#16 opened about 2 months ago
by
Xenova
JinaBertModel is not compatible with output_attentions=True
#15 opened 2 months ago
by
RickyX
下载权重后从本地读取会报错,`BertModel`没有`encode`方法。但是使用from_pretrained从hf下载的文件却可以正常使用
1
#14 opened 3 months ago
by
cxl-edu
使用一台有8G内存的服务器,按示例加载模型,出现OOM错误
#11 opened 6 months ago
by
mkchan
I would like to ask why the results obtained by calling the method according to the model you gave are different every time?
#8 opened 8 months ago
by
vovobobo
jinaai/jina-bert-implementation is not the path to a directory containing a file named configuration_bert.py.
6
#7 opened 10 months ago
by
poarpeak
How to use onnx model ? I need to accerlate the embedding
4
#6 opened 10 months ago
by
machine1116