metadata

license: mit
pipeline_tag: summarization
widget:
  - text: >-
      Now, there is no doubt that one of the most important aspects of any Pixel
      phone is its camera. And there might be good news for all camera lovers.
      Rumours have suggested that the Pixel 9 could come with a telephoto lens,
      improving its photography capabilities even further. Google will likely
      continue to focus on using AI to enhance its camera performance, in order
      to make sure that Pixel phones remain top contenders in the world of
      mobile photography.
  - text: >-
      The Samastha Kerala Sunni Students Federation (SKSSF) has also expressed
      concern over holding the election on Friday. In a statement issued in
      Kozhikode on Saturday, SKSSF state secretariat asked the EC to postpone
      the election to another day. It said conducting elections on Friday will
      cause inconvenience to people from the Muslim community deputed on poll
      duty or as booth agents of political parties to participate in Friday juma
      prayers. Meanwhile, the Wisdom Islamic Organisation has asked the state
      government to officially demand the EC to hold the elections in Kerala and
      Tamil Nadu on some other day, citing inconvenience of believers. State
      president P N Abdul Latheef Madani said all secular forces should put
      pressure on the poll panel to change the date of elections.
datasets:
  - EdinburghNLP/xsum
language:
  - en

BART Large CNN Text Summarization Model

This model is based on the Facebook BART (Bidirectional and Auto-Regressive Transformers) architecture, specifically the large variant fine-tuned for text summarization tasks. BART is a sequence-to-sequence model introduced by Facebook AI, capable of handling various natural language processing tasks, including summarization.

Model Details:

Architecture: BART Large CNN
Pre-trained model: BART Large
Fine-tuned for: Text Summarization
Fine-tuning dataset: xsum

Usage:

Installation:

You can install the necessary libraries using pip:

pip install transformers

Inferecnce

provided a simple snippet of how to use this model for the task of paragraph summarization in PyTorch.

from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("Mr-Vicky-01/Bart-Finetuned-conversational-summarization")
model = AutoModelForSeq2SeqLM.from_pretrained("Mr-Vicky-01/Bart-Finetuned-conversational-summarization")

def generate_summary(text):
    inputs = tokenizer([text], max_length=1024, return_tensors='pt', truncation=True)
    summary_ids = model.generate(inputs['input_ids'], max_new_tokens=100, do_sample=False)
    summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
    return summary

text_to_summarize = """Now, there is no doubt that one of the most important aspects of any Pixel phone is its camera.
And there might be good news for all camera lovers. Rumours have suggested that the Pixel 9 could come with a telephoto lens,
improving its photography capabilities even further. Google will likely continue to focus on using AI to enhance its camera performance,
in order to make sure that Pixel phones remain top contenders in the world of mobile photography."""
summary = generate_summary(text_to_summarize)
print(summary)

Google is rumoured to be about to unveil its next-generation Pixel smartphone,
the Google Pixel 9,which is expected to come with a telephoto lens and an artificial intelligence (AI)
system to improve its camera capabilities, as well as improve the quality of its images.

Training Parameters

num_train_epochs=1,
warmup_steps = 500,
per_device_train_batch_size=4,
per_device_eval_batch_size=4,
weight_decay = 0.01,
gradient_accumulation_steps=16