BART summarization base
The captured configuration identifies BartForConditionalGeneration and bart, with Safetensors metadata reporting about 406M parameters.
Open Source Model Profile · knkarthick
MEETING_SUMMARY is a 406M-parameter BART summarization fine-tune from knkarthick. According to the model card, it fine-tunes facebook/bart-large-xsum on meeting and dialogue datasets.
MEETING_SUMMARY is published by knkarthick as a bart summarization fine-tune. The captured configuration identifies BartForConditionalGeneration and Safetensors metadata reports 406,340,696 parameters. According to the model card, it was obtained by fine-tuning facebook/bart-large-xsum on AMI Meeting Corpus, SAMSUM, DIALOGSUM, and XSUM data.
The captured configuration identifies BartForConditionalGeneration and bart, with Safetensors metadata reporting about 406M parameters.
According to the model card, the model was obtained by fine-tuning facebook/bart-large-xsum on AMI Meeting Corpus, SAMSUM, DIALOGSUM, and XSUM data.
According to the model card, the publisher shows Transformers summarization pipeline examples loaded with knkarthick/MEETING_SUMMARY.
Card data records an Apache-2.0 license and the record lists the transformers library.
Source: knkarthick/MEETING_SUMMARY
Captured: Unknown. Processed: 2026-09-07T19:34:49.163982+00:00.
Model obtained by Fine Tuning 'facebook/bart-large-xsum' using AMI Meeting Corpus, SAMSUM Dataset, DIALOGSUM Dataset, XSUM Dataset! Usage Example 1 from transformers import pipeline summarizer = pipeline( "summarization" , model= "knkarthick/MEETING_SUMMARY" ) text = '''The tower is 324 metres (1,063 ft) tall, about the same height as an 81-storey building, and the tallest structure in Paris. Its base is square, measuring 125 metres (410 ft) on each side. During its construction, the Eiffel Tower surpassed the Washington Monument to become the tallest man-made structure in the world, a title it held for 41 years until the Chrysler B…
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