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## Your Environment
* Operating System: Linux 4.4.0-1044-aws
* Python Version Used: Python 3.6.4 :: Anaconda, Inc.
* spaCy Version Used: 2.0
* Environment Information: Running Python from shell …
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Hi,
I am trying sentence detection on the newsgroups20 training data set (about 11000 documents) and it is quite slow (taking 132 s).
Is that normal? batch_size and threads or even looping mysel…
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I use spacy for sentence segmentation in a unix pipeline. I loaded the "en" model and followed the instructions on https://spacy.io/usage/linguistic-features#section-sbd. Here is my code:
nlp =…
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I tried to run a modified version of the example given in [Adding a text classifier to a spaCy model](https://spacy.io/usage/training#example-textcat) with a GPU to speed up training. The original [so…
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Hi,
When I train a model with spaCy 2.0.3 on my environment 1, everything works well : I can save it, load it, use it.
However when I try loading it with environment 2, I get the following error :
…
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## How to reproduce the behaviour
1. Run Django with gunicorn on Heroku (Gunicorn is not mandatory but that's my setup )
2. See that en_core_web_md.load() takes long time leading to request timeout…
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## How to reproduce the behaviour
I am trying to tokenize documents using the multi threaded generator, but I am not seeing any speedup on the GPU compared to the CPU.
The GPU utilization seems t…
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Hello,
I am training 5000 documents (500/700 tokens long) using minibatch
with nlp.disable_pipes(*other_pipes): # only train NER
optimizer = nlp.begin_training()
for itn in …
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NER training routine, available with several training examples, the system returns an error:
Name of failed application: python.exe, version: 3.6.3150.1013, timestamp: 0x59d3d3a3
Name of failed modu…
ghost updated
5 years ago
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## How to reproduce the behaviour
Basically following the tutorial in https://spacy.io/usage/linguistic-features#sbd-component with the addition of calling has_pipe() in a loop:
```
import spacy
f…