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23 de abr. de 2024 · What is BERT and the transformer, and why do I need to understand it? Models like BERT are already massively impacting academia and business, so we’ll outline some of the ways these models are used, and clarify some of the terminology around them. What did we do before these models?
8 de may. de 2024 · Experimenting, comparing, and evaluating the effectiveness of source code vulnerability detection using various combined models of Roberta with machine learning models and different approaches. In this paper, we conducted experiments and evaluations to select the optimal parameters and models for the source code vulnerability ...
10 de may. de 2024 · Model overview. The roberta-large model is a large-sized Transformers model pre-trained by FacebookAI on a large corpus of English data using a masked language modeling (MLM) objective. It is a case-sensitive model, meaning it can distinguish between words like "english" and "English".
24 de abr. de 2024 · A robustly optimized BERT pretraining approach (RoBERTA) is an extended version of the transformer-based model, BERT where model can operate on large batch size and train longer sequence.
Hace 3 días · The roberta-large-mnli model is a version of the RoBERTa large model fine-tuned on the Multi-Genre Natural Language Inference (MNLI) corpus. This model was developed by FacebookAI and can be used for zero-shot classification tasks, including zero-shot sentence-pair classification and zero-shot sequence classification.
Hace 5 días · Aligning Neural Network Architecture: A Comparison of BERT and RoBERTA. In the field of natural language processing (NLP), pre-trained models have gained significant attention due to their impressive performance in various NLP tasks. Among the most popular pre-trained models are BERT and RoBERTA, both developed by Hugging Face.
27 de abr. de 2024 · RoBERTa: RoBERTa is a powerful pre-trained language model optimized for a wide range of NLP tasks and has demonstrated exceptional performance in tasks like sentiment analysis, text classification, machine translation, and more.
