Instructions to use HeTree/HeConE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HeTree/HeConE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HeTree/HeConE")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HeTree/HeConE") model = AutoModelForTokenClassification.from_pretrained("HeTree/HeConE") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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### Citing
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If you use HeConE in your research, please cite [
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```
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@article{shalumov2024mevaker,
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title={Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language},
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### Citing
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If you use HeConE in your research, please cite [Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language](https://arxiv.org/abs/2403.09719).
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```
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@article{shalumov2024mevaker,
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title={Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language},
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