Instructions to use kalawinka/flair-ner-acknowledgments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use kalawinka/flair-ner-acknowledgments with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("kalawinka/flair-ner-acknowledgments") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -25,6 +25,32 @@ Based on [Flair embeddings](https://aclanthology.org/C18-1139/)
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# Usage
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[See our Google colab notebook](https://colab.research.google.com/drive/1Wz4ae5c65VDWanY3Vo-fj__bFjn-loL4?usp=sharing#scrollTo=2ZRSrcjuFMHO)
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# Citation
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# Usage
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Requires: [Flair](https://github.com/flairNLP/flair/) (pip install flair)
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```python
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#import libraries
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from flair.data import Sentence
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from flair.models import SequenceTagger
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# load the trained model
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model = SequenceTagger.load("kalawinka/flair-ner-acknowledgments")
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# create example sentence
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sentence = Sentence("This work was supported by State Key Lab of Ocean Engineering Shanghai Jiao Tong University and financially supported by China National Scientific and Technology Major Project (Grant No. 2016ZX05028-006-009)")
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# predict the tags
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model.predict(sentence)
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#print output as spans
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for entity in sentence.get_spans('ner'):
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print(entity)
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```
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This produces the following output:
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```
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```
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[See our Google colab notebook](https://colab.research.google.com/drive/1Wz4ae5c65VDWanY3Vo-fj__bFjn-loL4?usp=sharing#scrollTo=2ZRSrcjuFMHO)
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# Citation
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