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Port over changes and add note on compat (see #1445)

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examples/keras_parikh_entailment/README.md
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# A decomposable attention model for Natural Language Inference # A decomposable attention model for Natural Language Inference
**by Matthew Honnibal, [@honnibal](https://github.com/honnibal)** **by Matthew Honnibal, [@honnibal](https://github.com/honnibal)**
> ⚠️ **IMPORTANT NOTE:** This example is currently only compatible with spaCy
> v1.x. We're working on porting the example over to Keras v2.x and spaCy v2.x.
> See [#1445](https://github.com/explosion/spaCy/issues/1445) for details –
> contributions welcome!
This directory contains an implementation of the entailment prediction model described This directory contains an implementation of the entailment prediction model described
by [Parikh et al. (2016)](https://arxiv.org/pdf/1606.01933.pdf). The model is notable by [Parikh et al. (2016)](https://arxiv.org/pdf/1606.01933.pdf). The model is notable
for its competitive performance with very few parameters. for its competitive performance with very few parameters.
@ -47,13 +52,13 @@ First, install [Keras](https://keras.io/), [spaCy](https://spacy.io) and the spa
English models (about 1GB of data): English models (about 1GB of data):
```bash ```bash
pip install https://github.com/fchollet/keras/archive/master.zip pip install https://github.com/fchollet/keras/archive/1.2.2.zip
pip install spacy pip install spacy
python -m spacy.en.download python -m spacy.en.download
``` ```
⚠️ **Important:** In order for the example to run, you'll need to install Keras from ⚠️ **Important:** In order for the example to run, you'll need to install Keras from
the master branch (and not via `pip install keras`). For more info on this, see the 1.2.2 release (and not via `pip install keras`). For more info on this, see
[#727](https://github.com/explosion/spaCy/issues/727). [#727](https://github.com/explosion/spaCy/issues/727).
You'll also want to get Keras working on your GPU. This will depend on your You'll also want to get Keras working on your GPU. This will depend on your