mirror of https://github.com/explosion/spaCy.git
5847be6022
* avoid changing original config * fix elif structure, batch with just int crashes otherwise * tok2vec example with doc2feats, encode and embed architectures * further clean up MultiHashEmbed * further generalize Tok2Vec to work with extract-embed-encode parts * avoid initializing the charembed layer with Docs (for now ?) * small fixes for bilstm config (still does not run) * rename to core layer * move new configs * walk model to set nI instead of using core ref * fix senter overfitting test to be more similar to the training data (avoid flakey behaviour) |
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| .. | ||
| experiments | ||
| information_extraction | ||
| keras_parikh_entailment | ||
| notebooks | ||
| pipeline | ||
| training | ||
| README.md | ||
| deep_learning_keras.py | ||
| load_from_docbin.py | ||
| streamlit_spacy.py | ||
| vectors_fast_text.py | ||
| vectors_tensorboard.py | ||
README.md
spaCy examples
The examples are Python scripts with well-behaved command line interfaces. For more detailed usage guides, see the documentation.
To see the available arguments, you can use the --help or -h flag:
$ python examples/training/train_ner.py --help
While we try to keep the examples up to date, they are not currently exercised by the test suite, as some of them require significant data downloads or take time to train. If you find that an example is no longer running, please tell us! We know there's nothing worse than trying to figure out what you're doing wrong, and it turns out your code was never the problem.