---
language:
  - en
license: apache-2.0
library_name: onnx
tags:
  - onnx
  - translation
  - multilingual
  - forkjoin-ai
base_model: facebook/nllb-200-distilled-1.3B
pipeline_tag: translation
---

# Nllb 200 Distilled 1.3B

Forkjoin.ai conversion of [facebook/nllb-200-distilled-1.3B](https://huggingface.co/facebook/nllb-200-distilled-1.3B) to ONNX format for edge deployment.

## Model Details

- **Source Model**: [facebook/nllb-200-distilled-1.3B](https://huggingface.co/facebook/nllb-200-distilled-1.3B)
- **Format**: ONNX
- **Converted by**: [Forkjoin.ai](https://forkjoin.ai)

## Usage

### With ONNX Runtime

```python
import onnxruntime as ort

session = ort.InferenceSession("nllb-200-distilled-1.3B-onnx.onnx")
```

### With Transformers + Optimum

```python
from optimum.onnxruntime import ORTModelForSequenceClassification
model = ORTModelForSequenceClassification.from_pretrained("forkjoin-ai/nllb-200-distilled-1.3B-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)