Average Model Cost: $0.0002
Number of Runs: 42,214
Models by this creator
SecBERT is a pre-trained model that has been fine-tuned for the task of filling in the blanks in text, also known as the "fill-mask" task. It is designed specifically for the field of cybersecurity and can be used to generate missing parts of sentences, helping with tasks like code completion and text generation in the context of cybersecurity. SecBERT has been trained on a large dataset of cybersecurity-related texts, making it especially suitable for this domain.
SecRoBERTa, short for Secure RoBERTa, is a masked language model that has been fine-tuned on a large corpus of text for the task of filling in missing words or phrases in a sentence. It is designed to provide a high level of security by incorporating privacy-preserving techniques into the model training process. The model is based on the RoBERTa architecture and can be used for various natural language processing tasks, including text completion, sentiment analysis, and question-answering.