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All Projects → rajveermalviya → language-modeling

rajveermalviya / language-modeling

Licence: MIT license
This is machine learning model that is trained to predict next word in the sequence. Model is defined in keras and then converted to tensorflow-js model for the web, check the web implementation at

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python
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Labels

machine-learningbrowserwebtensorflowkerastensorflowjsnext-word-prediction

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Language Modeling

This is machine learning model that is trained to predict next word in the sequence. Model is defined in keras and then converted to tensorflowjs model using tfjs_converter.

See it working!

Dependencies

To install all dependencies at once use:

pip3 install -r requirements.txt

Usage

First create necessary directories or else you will get an error.

mkdir model/checkpoint
mkdir web/dist/web_model

Once you have your dependencies installed via pip, train the model by running :

python3 train.py

After training you can either use the model by running :

python3 test.py

After running test.py your output should be :

Enter atleast 3 words:
welcome to new

indexes of last  3 words        : [4402, 5, 35]

prediction indexes      : [92, 1, 2645, 1491, 189, 1762, 207, 362, 2261, 1727]


1 - welcome to new york
2 - welcome to new <unk>
3 - welcome to new york-based
4 - welcome to new england
5 - welcome to new products
6 - welcome to new jersey
7 - welcome to new debt
8 - welcome to new loans
9 - welcome to new hampshire
10 - welcome to new ventures

or by converting the model to tensorflow js model by running :

tensorflowjs_converter --input_format=keras /model/model.h5 /web/dist/web_model

Then Read the README.md in /web directory

License MIT © Rajveer Malviya

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].