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distilbart-12-6-hybrid-2048-in
broadfield-dev/distilbart-12-6-hybrid-2048-in
distilbart-12-6-hybrid-2048-in 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 broadfield-dev/distilbart-cnn-12-6-tuned-0104-0138 on the broadfield-dev/stacked-summariesxsum-2048-in dataset. - Task: SEQ2SEQLM
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At a glance
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- Jan 8, 2026
- Updated
- Jan 8, 2026
- SHA
- 44b9d08c
Base models
Model card
From the Hugging Face model README
distilbart-12-6-hybrid-2048-in
This model is a fine-tuned version of broadfield-dev/distilbart-cnn-12-6-tuned-0104-0138 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-12-6-hybrid-2048-in")
text = "Your long text here..."
print(summarizer(text))
Context
Trained on '2048' input '256' output
- Type
- bart
- License
- mit
- Created
- Jan 8, 2026
- Updated
- Jan 8, 2026