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distilbart-cnn-12-6-tuned-0104-0138
broadfield-dev/distilbart-cnn-12-6-tuned-0104-0138
distilbart-cnn-12-6-tuned-0104-0138 is a machine learning model from broadfield-dev. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 on the broadfield-dev/stacked-summariesxsum-2048-in dataset. - Task: SEQ2SEQLM - Epochs: 2 - Learning Rate: 2e-05
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At a glance
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- Jan 4, 2026
- Updated
- Jan 4, 2026
- SHA
- d3d5dd17
Base models
Model card
From the Hugging Face model README
distilbart-cnn-12-6-tuned-0104-0138
This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 on the broadfield-dev/stacked-summaries_xsum-2048-in dataset.
Training Details
- Task: SEQ_2_SEQ_LM
- Epochs: 2
- Learning Rate: 2e-05
- Gradient Accumulation Steps: 4
Entity Labels
['LABEL_0', 'LABEL_1', 'LABEL_2']
Usage
from transformers import pipeline
summarizer = pipeline("summarization", model="broadfield-dev/distilbart-cnn-12-6-tuned-0104-0138")
text = "Your long text here..."
print(summarizer(text))
- Type
- bart
- License
- mit
- Created
- Jan 4, 2026
- Updated
- Jan 4, 2026