spaCy/examples
Matthew Honnibal 2bd1bf81f1
Refactor pretrain and support character-based objective for v3 (#5706)
* Start adding character-based stuff

* Start adding character-based objective

* Start adding character-based stuff

* Start adding character-based objective

* Remove outdated comment

* Update pretraining models

* Add/fix character-based multi-task models

* Refactor pretrain and support character-based objective

* Update pretrain config

* Remove unused

* Fix flake8 errors

* Clean up imports

* Format

* Format

* Update Thinc version

* Raise error if vectors objective but no vectors
2020-07-03 17:57:28 +02:00
..
experiments Refactor pretrain and support character-based objective for v3 (#5706) 2020-07-03 17:57:28 +02:00
information_extraction Remove max_length parameter 2020-03-24 10:22:12 +01:00
keras_parikh_entailment Fix unicode strings in examples [ci skip] 2019-10-18 18:47:59 +02:00
notebooks 💫 Replace ujson, msgpack and dill/pickle/cloudpickle with srsly (#3003) 2018-12-03 01:28:22 +01:00
pipeline Update spaCy for thinc 8.0.0 (#4920) 2020-01-29 17:06:46 +01:00
training refactor fixes (#5664) 2020-06-29 14:33:00 +02:00
README.md Get docs ready for v2.0.0 2017-11-07 12:00:43 +01:00
deep_learning_keras.py Update spaCy for thinc 8.0.0 (#4920) 2020-01-29 17:06:46 +01:00
load_from_docbin.py Generalize handling of tokenizer special cases (#4259) 2019-11-13 21:24:35 +01:00
streamlit_spacy.py fix showing dep arcs in streamlit script 2020-03-19 10:30:20 +01:00
vectors_fast_text.py Auto-format examples 2018-12-02 04:26:26 +01:00
vectors_tensorboard.py Restore tqdm imports (#4804) 2019-12-16 13:12:19 +01:00

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.