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I start the server by command as following:
```
python3 run.py \
-mode CLASS \
-bert_model_dir ~/home/Deployed/bert/pre-trained/chinese_L-12_H-768_A-12 \
-model_dir ~/home/Deployed/…
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Bert-as-service生成、普通bert直接生成、还有您提供的方法这三种
这三种方法生成的句向量有区别吗?
我理解,以为都是从extract_features.py 出来的
后面调用应该也是一样的, 所以没有区别。
但是对原理细节理解比较粗浅,不敢贸然下结论
还请指点
M0025 updated
4 years ago
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**Prerequisites**
* [x] Are you running the latest `bert-as-service`?
* [x] Did you check the [FAQ list in `README.md`](https://github.com/hanxiao/bert-as-service#speech_balloon-faq)?
* [x] Did…
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**Prerequisites**
> Please fill in by replacing `[ ]` with `[x]`.
* [x] Are you running the latest `bert-as-service`?
* [x] Did you follow [the installation](https://github.com/hanxiao/bert-as-…
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I have successfully fine tuned BERT for NER with RCV1 dataset, after modifying run_classifier.py and some other script.
The results are satisfactory for the time being.
Anyway, I am fairly new t…
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Hi,
I am using bert_as_service 10.
I start my bert server as:
_**args = get_args_parser().parse_args(['-model_dir', str(model_path),
'-num_worker', str(nu…
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大佬您好, 您这个生成句子向量的时间好像比bert-as-service 慢很多啊。。。您自己有对比过吗?期待您的回复
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I just fine-tuning bert with a classification task, and i noticed that a classifier is append after bert's output when fine-tuning.
#### create_model(...) in run_classifier.py
```python
...
with …
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请问作者是如何在tf2的环境下使用bert的呢,我运行bc=BertClient就卡死了
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**Prerequisites**
> Please fill in by replacing `[ ]` with `[x]`.
* [ ] Are you running the latest `bert-as-service`?
* [ ] Did you follow [the installation](https://github.com/hanxiao/bert-as-…