SG-NLP
Machine learning models from Singapore's natural language processing (NLP) research community.
sgnlp is a Python package that allows you to easily get started on using various (NLP) models implemented using the
Pytorch and Transformers frameworks.
We have an accompanying demo site where you can interact with our models and get a better understanding on how they work.
Installation
- Python >= 3.8
pip install sgnlp
Documentation
Visit our documentation for tutorials.
License
Code and models from this project are released under the MIT License unless otherwise stated. If a model's code is under a separate license, it can be found in the respective model's folder.
Metadata
Release files for sgnlp 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sgnlp-0.4.0.tar.gz | 140.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sgnlp-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 333.3 kB
Release files / sgnlp-0.4.0.tar.gz
| Download URL | sgnlp-0.4.0.tar.gz |
|---|---|
| Size | 140.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.7.11
|
Release files / sgnlp-0.4.0-py3-none-any.whl
| Download URL | sgnlp-0.4.0-py3-none-any.whl |
|---|---|
| Size | 192.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.7.11
|