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bart-dialogsum-finetuned
yash2907/bart-dialogsum-finetuned
bart-dialogsum-finetuned is a machine learning model from yash2907. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is a fine-tuned version of facebook/bart-large-cnn trained on the DialogSum dataset for dialogue and meeting summarization.
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At a glance
- Model type
- bart
- Access
- Public
- Created
- Jan 3, 2026
- Updated
- Jan 3, 2026
- SHA
- e4ae9a61
Model card
From the Hugging Face model README
BART DialogSum Fine-Tuned Model
Model Description
This model is a fine-tuned version of facebook/bart-large-cnn trained on the DialogSum dataset for dialogue and meeting summarization.
Intended Use
- Meeting summarization
- Lecture summarization
- Dialogue-based summarization
- RAG-based question answering systems
Training Details
- Base model: facebook/bart-large-cnn
- Dataset: DialogSum
- Training: 1 epoch fine-tuning
- Framework: Hugging Face Transformers
Limitations
- Trained on dialogue-style summaries
- Not intended for long documents without chunking
How to Use
from transformers import BartTokenizer, BartForConditionalGeneration
model = BartForConditionalGeneration.from_pretrained(
"yash2907/bart-dialogsum-finetuned"
)
tokenizer = BartTokenizer.from_pretrained(
"yash2907/bart-dialogsum-finetuned"
)
- Type
- bart
- Created
- Jan 3, 2026
- Updated
- Jan 3, 2026