GitHub

Machine-Learning-MD/NLP-and-Transformers/Transformer-Architecture/Transformer-based Models T5 BERT RoBERTa DistilBERT with Python.md at main · LMK89/Machine-Learning-MD · GitHub

Transformer-based Models T5, BERT, RoBERTa, DistilBERT with Python Slide 1: Introduction to Transformer-based Models Transformer-based models have revolutionized natural language processing. In this ...
GitHub

tune_transformer_thresholds.py

validation split (same convention as baseline_tfidf_lr.py: val_size=0.1, seed=42). Loads the validation-stage checkpoint, predicts probabilities on the holdout set, reports metrics at tau=0.5 and ...
IEEE

Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

Publisher's Note: A new edition of this book is out now that includes working with GPT-3 and comparing the results with other models. It includes even more use cases, such as casual language analysis ...
IEEE

DB-CBIL: A DistilBert-Based Transformer Hybrid Model Using CNN and BiLSTM for Software Vulnerability Detection

Abstract: Software vulnerabilities are among the significant causes of security breaches. Vulnerabilities can severely compromise software security if exploited by malicious attacks and may result in ...
archive

The Internet Archive Python Library

Welcome to the documentation for the internetarchive Python library. This tool provides both a command-line interface (CLI) and a Python API for interacting with archive.org, allowing you to search, ...