Common utilities and structures for HanLP
The multilingual NLP library for researchers and companies, built on PyTorch and TensorFlow 2.x, for advancing state-of-the-art deep learning techniques in both academia and industry. HanLP was designed from day one to be efficient, user friendly and extendable. It comes with pretrained models for various human languages including English, Chinese and many others. Currently, HanLP 2.0 is in alpha stage with more killer features on the roadmap. Discussions are welcomed on our forum, while bug reports and feature requests are reserved for GitHub issues. For Java users, please checkout the 1.x branch.
Installation
pip install hanlp
License
HanLP is licensed under Apache License 2.0. You can use HanLP in your commercial products for free. We would appreciate it if you add a link to HanLP on your website.
1 maintainer
Metadata
1 maintainer
Release files for hanlp-common 0.0.23
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| hanlp_common-0.0.23.tar.gz | 28.9 kB | Without provenance | Details |
Release files / hanlp_common-0.0.23.tar.gz
| Download URL | hanlp_common-0.0.23.tar.gz |
|---|---|
| Size | 28.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d7d7ab23a00c65cb38585b523812782e7dd46b3d7a881f5071f7ec407ee74594
|
|
BLAKE2b-256 checksum How to use checksums |
5cc7ae20a89dce88f1534f91d8045092dcd8fa6d9f51d859e5a5e5c818d003cf
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.18
|
Security for hanlp-common 0.0.23
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
