STANZA Model for Portuguese (PT)

Introduction

Stanza is a suite of tools for linguistic analysis, offering models for tasks such as syntactic analysis and entity recognition across multiple languages. This model is specifically designed for Portuguese, providing state-of-the-art natural language processing capabilities.

Architecture

The model is built using Stanza, a library developed by Stanford NLP, which is known for its accuracy and efficiency in processing human languages. It leverages token classification techniques to perform various NLP tasks.

Training

The details of the training process are not explicitly provided in the README. However, Stanza models are generally trained using a combination of supervised learning techniques with annotated datasets specific to the language and task.

Guide: Running Locally

Setup Environment: Ensure you have Python installed. It is recommended to use a virtual environment.
Install Stanza: Use the following command:
```
pip install stanza
```
Download the Model:
```
import stanza
stanza.download('pt')
```

Load and Use the Model:

nlp = stanza.Pipeline('pt')
doc = nlp("Seu texto aqui")

Hardware Recommendations: While the model can run on CPU, using cloud GPUs such as those provided by AWS, GCP, or Azure can significantly speed up processing.

License

This model is distributed under the Apache 2.0 License, which allows for both personal and commercial use, modification, and distribution.