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distilbart-cnn-12-6
inference4j/distilbart-cnn-12-6
distilbart-cnn-12-6 is a summarization model from inference4j. Use it when you need a shorter version of a longer text. It is set up for onnx. The card lists the license as apache-2.0.
ONNX export of DistilBART CNN 12-6 (306M parameters) with encoder-decoder architecture and KV cache support.
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At a glance
- Task
- Summarization
- Library
- onnx
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- Feb 28, 2026
- Updated
- Feb 28, 2026
- SHA
- 61ec6279
Try a prompt
Model card
From the Hugging Face model README
DistilBART CNN 12-6 — ONNX
ONNX export of DistilBART CNN 12-6 (306M parameters) with encoder-decoder architecture and KV cache support.
A distilled version of BART Large CNN, 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: sshleifer/distilbart-cnn-12-6
- License: Apache 2.0
Usage with inference4j
try (var summarizer = BartSummarizer.distilBartCnn().build()) {
System.out.println(summarizer.summarize("Long article text..."));
}
Model Details
| Property | Value |
|---|---|
| Architecture | BART encoder-decoder (306M parameters, 12 encoder + 6 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 Sam Shleifer.
- Task
- Summarization
- Library
- onnx
- Type
- bart
- License
- apache-2.0
- Created
- Feb 28, 2026
- Updated
- Feb 28, 2026