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Open Source Model Profile · knkarthick

MEETING_SUMMARY

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.

Publisher
knkarthick
Task
summarization
Model type
bart
License
apache-2.0
Library
transformers
Publication status
Accepted · not indexed

Model overview

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.

Recorded capabilities

BART summarization base

The captured configuration identifies BartForConditionalGeneration and bart, with Safetensors metadata reporting about 406M parameters.

Meeting and dialogue fine-tuning

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.

Transformers pipeline examples

According to the model card, the publisher shows Transformers summarization pipeline examples loaded with knkarthick/MEETING_SUMMARY.

Apache-2.0 Transformers release

Card data records an Apache-2.0 license and the record lists the transformers library.

Use cases in the source record

  • Meeting and dialogue summarization workflows using the documented bart-large-xsum fine-tune.
  • Transformers pipeline experiments following the publisher summarization examples with knkarthick/MEETING_SUMMARY.

Limitations and unknowns

  • No evaluation results were extracted from this record.
  • No context-window value was extracted from this record.
  • Provider state is historical snapshot data, not independently refreshed current availability.
  • Training detail beyond the publisher fine-tuning and dataset note was not extracted.

Source and provenance

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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