Jiaao/MEETING_SUMMARY

Meeting Summary Model

Description

This model is designed for automatic meeting summarization. It can process meeting transcripts and generate concise, accurate summaries that capture the key points and action items discussed.

Intended use

This model is intended for:

• Generating summaries of business meetings
• Creating meeting notes and action item lists
• Summarizing conference calls and video meetings
• Extracting key decisions and follow-up tasks from meeting transcripts

Limitations

• The model performs best on English language meetings
• May not capture nuanced context in highly technical discussions
• Summary quality depends on the clarity and structure of the input transcript
• Not suitable for real-time summarization during live meetings

How to use

from transformers import pipeline

# Load the summarization pipeline
summarizer = pipeline("summarization", model="knkarthick/MEETING_SUMMARY")

# Summarize a meeting transcript
meeting_text = "Your meeting transcript here..."
summary = summarizer(meeting_text, max_length=150, min_length=40, do_sample=False)
print(summary[0]['summary_text'])

Or using the AutoModel:

from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

model = AutoModelForSeq2SeqLM.from_pretrained("knkarthick/MEETING_SUMMARY")
tokenizer = AutoTokenizer.from_pretrained("knkarthick/MEETING_SUMMARY")