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Add model card metadata

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To help make your model more discoverable to domain experts, I suggest adding a legal `tag` to the metadata for your model. I have also suggested a language tag for your model.

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  1. README.md +7 -1
README.md CHANGED
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  # Legal-HeBERT
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  Legal-HeBERT is a BERT model for Hebrew legal and legislative domains. It is intended to improve the legal NLP research and tools development in Hebrew. We release two versions of Legal-HeBERT. The first version is a fine-tuned model of [HeBERT](https://github.com/avichaychriqui/HeBERT) applied on legal and legislative documents. The second version uses [HeBERT](https://github.com/avichaychriqui/HeBERT)'s architecture guidlines to train a BERT model from scratch. <br>
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  We continue collecting legal data, examining different architectural designs, and performing tagged datasets and legal tasks for evaluating and to development of a Hebrew legal tools.
@@ -75,4 +81,4 @@ Chriqui, Avihay, Yahav, Inbal and Bar-Siman-Tov, Ittai, Legal HeBERT: A BERT-bas
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  [Inbal yahav](mailto:[email protected]), The Coller AI Lab <br>
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  [Ittai Bar-Siman-Tov](mailto:[email protected]), the BIU Innovation Lab for Law, Data-Science and Digital Ethics <br>
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- Thank you, 转讜讚讛, 卮賰乇丕 <br>
 
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+ ---
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+ language:
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+ - he
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+ tags:
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+ - legal
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+ ---
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  # Legal-HeBERT
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  Legal-HeBERT is a BERT model for Hebrew legal and legislative domains. It is intended to improve the legal NLP research and tools development in Hebrew. We release two versions of Legal-HeBERT. The first version is a fine-tuned model of [HeBERT](https://github.com/avichaychriqui/HeBERT) applied on legal and legislative documents. The second version uses [HeBERT](https://github.com/avichaychriqui/HeBERT)'s architecture guidlines to train a BERT model from scratch. <br>
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  We continue collecting legal data, examining different architectural designs, and performing tagged datasets and legal tasks for evaluating and to development of a Hebrew legal tools.
 
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  [Inbal yahav](mailto:[email protected]), The Coller AI Lab <br>
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  [Ittai Bar-Siman-Tov](mailto:[email protected]), the BIU Innovation Lab for Law, Data-Science and Digital Ethics <br>
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+ Thank you, 转讜讚讛, 卮賰乇丕 <br>