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Hilbert 8c50b2b520 | 5 months ago | |
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docs | 5 months ago | |
examples | 5 months ago | |
llm | 5 months ago | |
mindnlp | 5 months ago | |
requirements | 5 months ago | |
scripts | 5 months ago | |
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setup.py | 5 months ago |
Introduction |
Quick Links |
Installation |
Get Started |
Tutorials |
Notes
🔥 Latest Features
from mindnlp.models import BertModel
model = BertModel.from_pretrained('bert-base-cased')
Version Compatibility:
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 |
0.2.0 | >=2.1.0 | >=3.7.5, <=3.9 |
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 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.
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}: a MindSpore NLP library},
author={MindNLP Contributors},
howpublished = {\url{https://github.com/mindlab-ai/mindnlp}},
year={2022}
}
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Python Jupyter Notebook Cuda Shell other
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