---
license: apache-2.0
language:
- he
library_name: transformers
tags:
- bert
---

# Introducing BEREL 3.0 - New and Improved BEREL: BERT Embeddings for Rabbinic-Encoded Language

When using BEREL 3.0, please reference:

Avi Shmidman, Joshua Guedalia, Shaltiel Shmidman, Cheyn Shmuel Shmidman, Eli Handel, Moshe Koppel, "Introducing BEREL: BERT Embeddings for Rabbinic-Encoded Language", Aug 2022 [arXiv:2208.01875]


1. Usage:

```python
from transformers import AutoTokenizer, BertForMaskedLM

tokenizer = AutoTokenizer.from_pretrained('dicta-il/BEREL_3.0')
model = BertForMaskedLM.from_pretrained('dicta-il/BEREL_3.0')

# for evaluation, disable dropout
model.eval()
```

> NOTE: This code will **not** work and provide bad results if you use `BertTokenizer`. Please use `AutoTokenizer` or `BertTokenizerFast`.