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Malicious npm Package Targets Solana Developers and Hijacks Funds
A malicious npm package targets Solana developers, rerouting funds in 2% of transactions to a hardcoded address.
Urduhack is a NLP library for urdu language. It comes with a lot of battery included features to help you process Urdu data in the easiest way possible.
Urduhack officially supports Python 3.6–3.7, and runs great on PyPy.
Installing with tensorflow cpu version.
$ pip install urduhack[tf]
Installing with tensorflow gpu version.
$ pip install urduhack[tf-gpu]
import urduhack
# Downloading models
urduhack.download()
nlp = urduhack.Pipeline()
text = ""
doc = nlp(text)
for sentence in doc.sentences:
print(sentence.text)
for word in sentence.words:
print(f"{word.text}\t{word.pos}")
for token in sentence.tokens:
print(f"{token.text}\t{token.ner}")
Fantastic documentation is available at https://urduhack.readthedocs.io/
Documentation | |
---|---|
Installation | How to install Urduhack and download models |
Quickstart | New to Urduhack? Here's everything you need to know! |
API Reference | The detailed reference for Urduhack's API. |
Special thanks to everyone who contributed to getting the UrduHack to the current state.
Thank you to all our backers! 🙏 [Become a backer]
Support this project by becoming a sponsor. [Become a sponsor]
Code released under the MIT License.
FAQs
Natural Language Processing (NLP) library for Urdu language.
We found that urduhack demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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