π₯ Latest Features
from mindnlp.transformers import AutoModel
model = AutoModel.from_pretrained('bert-base-cased')
You can install the official version of MindNLP which uploaded to pypi.
pip install mindnlp
You can download MindNLP daily wheel from here.
To install MindNLP from source, please run:
pip install git+https://github.com/mindspore-lab/mindnlp.git
# or
git clone https://github.com/mindspore-lab/mindnlp.git
cd mindnlp
bash scripts/build_and_reinstall.sh
MindNLP version | MindSpore version | Supported Python version |
---|---|---|
master | daily build | >=3.7.5, <=3.9 |
0.1.1 | >=1.8.1, <=2.0.0 | >=3.7.5, <=3.9 |
0.2.x | >=2.1.0 | >=3.8, <=3.9 |
MindNLP is an open source NLP library based on MindSpore. It supports a platform for solving natural language processing tasks, containing many common approaches in NLP. It can help researchers and developers to construct and train models more conveniently and rapidly.
The master branch works with MindSpore master.
Since there are too many supported models, please check here
This project is released under the Apache 2.0 license.
The dynamic version is still under development, if you find any issue or have an idea on new features, please don't hesitate to contact us via Github Issues.
MindSpore is an open source project that welcome any contribution and feedback.
We wish that the toolbox and benchmark could serve the growing research
community by providing a flexible as well as standardized toolkit to reimplement existing methods
and develop their own new semantic segmentation methods.
If you find this project useful in your research, please consider citing:
@misc{mindnlp2022,
title={{MindNLP}: Easy-to-use and high-performance NLP and LLM framework based on MindSpore},
author={MindNLP Contributors},
howpublished = {\url{https://github.com/mindlab-ai/mindnlp}},
year={2022}
}