metadata
library_name: onnx
tags:
- text2text-generation
- bart
- summarization
- encoder-decoder
- onnx
- inference4j
license: apache-2.0
pipeline_tag: summarization
BART Large CNN — ONNX
ONNX export of BART Large CNN (406M parameters) with encoder-decoder architecture and KV cache support.
Fine-tuned for text summarization on the CNN/DailyMail dataset.
Converted for use with inference4j, an inference-only AI library for Java.
Original Source
- Repository: facebook/bart-large-cnn
- License: Apache 2.0
Usage with inference4j
try (var summarizer = BartSummarizer.bartLargeCnn().build()) {
System.out.println(summarizer.summarize("Long article text..."));
}
Model Details
| Property | Value |
|---|---|
| Architecture | BART encoder-decoder (406M parameters, 12 encoder + 12 decoder layers) |
| Task | Text summarization |
| Training data | CNN/DailyMail |
| Tokenizer | BPE (50,265 tokens) |
| Original framework | PyTorch (transformers) |
| Export method | Hugging Face Optimum (encoder-decoder with KV cache) |
License
This model is licensed under the Apache License 2.0. Original model by Facebook AI.