README.md

---
language:
- he
pipeline_tag: fill-mask
datasets:
- HeNLP/HeDC4
---


## Hebrew Language Model for Long Documents

State-of-the-art Longformer language model for Hebrew.

#### How to use

```python
from transformers import AutoModelForMaskedLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained('HeNLP/LongHeRo')
model = AutoModelForMaskedLM.from_pretrained('HeNLP/LongHeRo')

# Tokenization Example:
# Encoding and tokenizing
encoded_string = tokenizer('שלום לכולם')

# Decoding 
decoded_string = tokenizer.decode(encoded_string['input_ids'], skip_special_tokens=True)
```


### Citing

If you use LongHeRo in your research, please cite [HeRo: RoBERTa and Longformer Hebrew Language Models](http://arxiv.org/abs/2304.11077).
```
@article{shalumov2023hero,
      title={HeRo: RoBERTa and Longformer Hebrew Language Models}, 
      author={Vitaly Shalumov and Harel Haskey},
      year={2023},
      journal={arXiv:2304.11077},
}
```