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NLP Test 1.0.1 🚀 comes with several improvements and bug fixes, including: a clean display format for expected and actual results on NER tests, support for a default spaCy text classifier, a bug fix for token mismatches in transformers, and many other enhancements and bug fixes!
A big thank you to our early-stage community for their feedback, questions, and feature requests. 🎉
# Import and create a Harness object
from nlptest import Harness
h = Harness(task='ner', model='dslim/bert-base-NER', hub='transformers')
# Generate test cases, run them and view a report
h.generate().run().report()
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📢 Overview
NLP Test 1.0.1 🚀 comes with several improvements and bug fixes, including: a clean display format for expected and actual results on NER tests, support for a default spaCy text classifier, a bug fix for token mismatches in transformers, and many other enhancements and bug fixes!
A big thank you to our early-stage community for their feedback, questions, and feature requests. 🎉
Make sure to give the project a star right here ⭐
🔥 New Features & Enhancements
🐛 Bug Fixes
swap_entities
augmentation failures Issue 225 finalize augmentation issues #284replace_to_inter_racial_lastnames
andreplace_to_native_american_lastnames
to transformation fix bias tests #300❓ How to Use
Get started now! 👇
Create your test harness in 3 lines of code 🧪
📖 Documentation
❤️ Community support
#nlptest
channelWe would love to have you join the mission 👉 open an issue, a PR, or give us some feedback on features you'd like to see! 🙌
♻️ Changelog
What's Changed
New Contributors
Full Changelog: v1.0.0...v1.0.1
This discussion was created from the release John Snow Labs NLP Test 1.0.1: Patch Release.
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