---
tags:
- model_hub_mixin
- pytorch_model_hub_mixin
license: wtfpl
datasets:
- jakartaresearch/cerpen-corpus
language:
- id
base_model:
- LocalWisdom/PurpleBoW
pipeline_tag: feature-extraction
---

# PurpleCBoW

A very simple implementation of Continuous Bag-of-Words for those learning about Natural Language Processing.

## What's The Difference With Skip-Gram and Word2Vec?

Well, Word2Vec is the concept of using a shallow neural network to turn a word into vector.
Meanwhile, Skip-Gram is just another variant of CBOW. Skip-Gram and CBOW *is* Word2Vec.

## Usage

Download the `train.ipynb` file and execute every cell.
At the bottom of the notebook, we have the "inference" part where we can test with whatever word is in the model vocabulary.