--- 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: >- Elon Reeve Musk (/ˈiːlɒn/ EE-lon; born June 28, 1971) is a businessman and investor. He is the founder, chairman, CEO, and CTO of SpaceX; angel investor, CEO, product architect, and former chairman of Tesla, Inc.; owner, executive chairman, and CTO of X Corp.; founder of the Boring Company and xAI; co-founder of Neuralink and OpenAI; and president of the Musk Foundation. He is one of the wealthiest people in the world, with an estimated net worth of US$190 billion as of March 2024, according to the Bloomberg Billionaires Index, and $195 billion according to Forbes, primarily from his ownership stakes in Tesla and SpaceX.[5][6] A member of the wealthy South African Musk family, Elon was born in Pretoria and briefly attended the University of Pretoria before immigrating to Canada at age 18, acquiring citizenship through his Canadian-born mother. Two years later, he matriculated at Queen University at Kingston in Canada. Musk later transferred to the University of Pennsylvania, and received bachelor degrees in economics and physics. He moved to California in 1995 to attend Stanford University, but dropped out after two days and, with his brother Kimbal, co-founded online city guide software company Zip2. The startup was acquired by Compaq for $307 million in 1999, and that same year Musk co-founded X.com, a direct bank. X.com merged with Confinity in 2000 to form PayPal. In October 2002, eBay acquired PayPal for $1.5 billion, and that same year, with $100 million of the money he made, Musk founded SpaceX, a spaceflight services company. In 2004, he became an early investor in electric vehicle manufacturer Tesla Motors, Inc. (now Tesla, Inc.). He became its chairman and product architect, assuming the position of CEO in 2008. In 2006, Musk helped create SolarCity, a solar-energy company that was acquired by Tesla in 2016 and became Tesla Energy. In 2013, he proposed a hyperloop high-speed vactrain transportation system. In 2015, he co-founded OpenAI, a nonprofit artificial intelligence research company. The following year, Musk co-founded Neuralink—a neurotechnology company developing brain–computer interfaces—and the Boring Company, a tunnel construction company. In 2022, he acquired Twitter for $44 billion. He subsequently merged the company into newly created X Corp. and rebranded the service as X the following year. In March 2023, he founded xAI, an artificial intelligence company. Musk has expressed views that have made him a polarizing figure.[7] He has been criticized for making unscientific and misleading statements, including COVID-19 misinformation and antisemitic conspiracy theories.[7][8][9][10] His ownership of Twitter has been similarly controversial, being marked by the laying off of a large number of employees, an increase in hate speech and misinformation and disinformation on the website, as well as changes to Twitter Blue verification. In 2018, the U.S. Securities and Exchange Commission (SEC) sued him, alleging that he had falsely announced that he had secured funding for a private takeover of Tesla. To settle the case, Musk stepped down as the chairman of Tesla and paid a $20 million fine. - text: >- OnePlus faces the prospect of going out of store in some states in the Indian market next month. Reports this week suggest OnePlus phones will be taken off around 4,500 stores in different parts of the country from May 1, 2024 onwards. It has been pointed out that the retailer organisation taking charge of stores in the South and western parts of the country are not pleased with the company for various reasons. The South Indian Organized Retailers Association (ORA) has been quoted saying that OnePlus does not garner enough margins for its network to sell OnePlus phones and that will definitely come as a big jolt to the popular brand. Report also mentions that the ORA has sent a formal complaint to OnePlus executives earlier this week, stating that until the issues regarding OnePlus warranty and margins are not resolved, retailers will decide against selling OnePlus phones at their stores in states like Gujarat, Maharashtra, Andhra Pradesh, Telangana, Karnataka, and Tamil Nadu, that caters to a total of 4,500 stores. Having said that, the retailers looking to stop selling OnePlus phones are associated with multi-retail brands, so it is possible that small-time mobile shops could still offer phones from the brand. OnePlus has claimed to be one of the top-sellers via online channels but its focus on the offline market seems to have wavered which seems to have caused this displeasure among the retailers in the country. We have previously seen that offline retailers play a big role in the growth and demand for phones, and OnePlus will need to do everything to make sure this issue is resolved at the earliest, before it starts to impact its online sales as well. We’re still a few weeks away from the deadline, which ensures OnePlus can still get things sorted and go back to business as usual in these regions. datasets: - EdinburghNLP/xsum - samsum language: - en library_name: transformers --- # Model Description 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. ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65af937a30e33d1b60c8772b/jWIThYZRayUFKgScplHrZ.png) ## Model Details: - **Architecture**: BART Large CNN - **Pre-trained model**: BART Large - **Fine-tuned for**: Text Summarization - **Fine-tuning dataset**: [xsum](https://huggingface.co/datasets/EdinburghNLP/xsum) & [samsum](https://huggingface.co/datasets/samsum) ## Space Link: [Summarization Model](https://huggingface.co/spaces/Mr-Vicky-01/Summarization) ## How To FineTune This Model: [Github](https://github.com/Mr-Vicky-01/English-Summization) ## Usage: ### Installation: You can install the necessary libraries using pip: ```bash pip install transformers ``` ### Inferecnce provided a simple snippet of how to use this model for the task of paragraph summarization in PyTorch. ```python 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 ```python 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 ```