Views
No views yet
1from transformers import pipeline
2
3# Load the summarization pipeline
4summarizer = pipeline("summarization", model="knkarthick/MEETING_SUMMARY")
5
6# Summarize a meeting transcript
7meeting_text = "Your meeting transcript here..."
8summary = summarizer(meeting_text, max_length=150, min_length=40, do_sample=False)
9print(summary[0]['summary_text'])1from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
2
3model = AutoModelForSeq2SeqLM.from_pretrained("knkarthick/MEETING_SUMMARY")
4tokenizer = AutoTokenizer.from_pretrained("knkarthick/MEETING_SUMMARY")