fast-token-classifier 0.2.3

NLP project to identify and categorize named entities in an input text.

INFO-EXTRACTION

NLP project to identify and categorize named entities in an input text.

Table of Content

• INFO-EXTRACTION
  • Table of Content
  • Setup Package
    • IMPORTANT STEP
    • List Available Commands
  • Build And Publish The Package
  • Check HugingFace Cache
  • Run Tests
  • Start API

Setup Package

IMPORTANT STEP

• To setup the package locally, run:

make setup_venv

List Available Commands

• To list all the available commands, run:

make help

Build And Publish The Package

• Build the package by running:

# Install packages required for building and publishing
python -m pip install build twine

# Build
python setup.py clean --all    
python setup.py sdist bdist_wheel

# Verify build
twine check dist/*

# Upload package
twine upload dist/* --verbose

Check HugingFace Cache

• Check the locally cached models and dataset by running:

huggingface-cli scan-cache -v

Run Tests

• For unit and integration tests, run:

# Integration test
make run_integration_test

# All tests
make run_test

Start API

• To start the API, run:

make run_api