Instructions to use HeTree/HeCross with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HeTree/HeCross with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="HeTree/HeCross")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HeTree/HeCross") model = AutoModelForSequenceClassification.from_pretrained("HeTree/HeCross") - Notebooks
- Google Colab
- Kaggle
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If you use HeCross in your research, please cite [HeRo: RoBERTa and Longformer Hebrew Language Models](http://arxiv.org/abs/2304.11077).
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@
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title={Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language},
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author={Vitaly Shalumov and Harel Haskey and Yuval Solaz},
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year={2024},
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If you use HeCross in your research, please cite [HeRo: RoBERTa and Longformer Hebrew Language Models](http://arxiv.org/abs/2304.11077).
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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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author={Vitaly Shalumov and Harel Haskey and Yuval Solaz},
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year={2024},
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