Comments (2)
terrifyzhao
commented on August 9, 2024
隐层的节点是768个，所以生成的句向量是768维的，每一个句子生成的句向量都是768维，更多细节请参阅我的blog
from bert-utils.
wingsyuan
commented on August 9, 2024
@terrifyzhao
请问，是打印下面的output_tensor或pooled么，如果是要怎么打印出来，用各种方法都报错。。
以下代码是句向量的生成方法，可以理解为做了一个卷积的操作，但是没有把结果相加, 卷积核是
input_mask
pooled = masked_reduce_mean(encoder_layer, input_mask)
pooled = tf.identity(pooled, 'final_encodes')
output_tensors = [pooled]
#with tf.Session():
# print(output_tensors.eval())
from bert-utils.
Related Issues (20)
- 如果希望对特定种类的文本的句子提取句子向量，怎样对模型进行微调更合适 HOT 1
- 模型训练正常，auc较好，设置为PREDICT模式时候抛错issue 3770
- 相似度计算
- 你好，想请教下怎样加载albert-tiny,small，可以支持下这个吗？
- 请教一下，利用问答对进行fine-turning后的模型，然后获取向量的方法跟extract_feature文件中的方法一致么？此外，这样获取向量跟训练阶段是不一致的，因为输入数据是单个，训练的时候是一对数据？
- 如何用自己的语料库微调模型
- 请问一下这个怎么看结果啊
- The BQ Corpus.pdf 无法查看
- 加载过graph后，还是比较慢，所需时间是 bert-as-service的20倍，这是为什么？ HOT 2
- 对sentence进行相似度预测时输入分词错误 HOT 1
- 本机windows环境中转向量正常， 在linux环境下启动脚本，程序僵死，一直处于高cpu占用状态
- 直接用bert句向量结果计算相似度，任意两个句子的余弦值都很高，请问这是什么原因 HOT 4
- 请问生成句向量的模块如何使用tfServing进行部署？
- 请问句向量的负值怎样能去掉或者变成全部正的呢？只能用relu函数变成0吗？
- 为什么运行feature.py时，没有graph生成，
- 这个是怎么回事 HOT 1
- 你这个代码有个大坑！ HOT 2
- 运行extract-feature.py时遇到的问题。 HOT 2
- 缺少相关配置文件 HOT 1
- similarity识别率太低
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from bert-utils.