---
license: apache-2.0
language:
- en
---

# ReBART with Reverse Positional Embeddings

This is a custom BART model fine-tuned on the CNN/DailyMail dataset with reverse positional embeddings to better control the length of generated summaries.

## How to use

```python
from transformers import AutoTokenizer
from ReBART.modeling_rebart import ReBartForConditionalGeneration

tokenizer = AutoTokenizer.from_pretrained("Ivanhoe9/rpebart-large-cnn")
```

---
license: apache-2.0
language:
- en
tags:
- summarization
- bart
- custom
- control-length
datasets:
- cnn_dailymail
base_model:
- facebook/bart-large
---