---
language:
  - en
license: apache-2.0
library_name: onnx
tags:
  - onnx
  - forkjoin-ai
base_model: facebook/bart-large-cnn
pipeline_tag: summarization
---

# Bart Large Cnn

Forkjoin.ai conversion of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) to ONNX format for edge deployment.

## Model Details

- **Source Model**: [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn)
- **Format**: ONNX
- **Converted by**: [Forkjoin.ai](https://forkjoin.ai)

## Usage

### With ONNX Runtime

```python
import onnxruntime as ort

session = ort.InferenceSession("bart-large-cnn-onnx.onnx")
```

### With Transformers + Optimum

```python
from optimum.onnxruntime import ORTModelForSequenceClassification
model = ORTModelForSequenceClassification.from_pretrained("forkjoin-ai/bart-large-cnn-onnx")
```

## About Forkjoin.ai

[Forkjoin.ai](https://forkjoin.ai) runs AI models at the edge -- in-browser, on-device, zero cloud cost. These converted models power real-time inference, speech recognition, and natural language capabilities.

All conversions are optimized for edge deployment within browser and mobile memory constraints.

## License

Apache 2.0 (follows upstream model license)