An implementation of masked language modeling for Pytorch, made as concise and simple as possible

基于mlm方式的带有纠错功能的拼音转汉字bert预训练模型，pinyin correcter，基于pytorch框架实现

YOLOv3: Convert .weight to tflite mlmodel onnx keras pytorch

A PyTorch implementation of an embedding model with RoPE (Rotary Position Embedding), temperature scaling, and Masked Language Modeling (MLM) pre-training support. This is a research and learning project to test out various ideas about embedding models and how a good Machine Learning project should look like.

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A template for MLM or pytorch NLP task

a regression mlm i made to understand the math behind neural networks, uses no mlm libraries like pytorch/tensorflow

Implementing BERT from scratch on NSP and MLM tasks using pytorch

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A PyTorch implementation of BERT (Bidirectional Encoder Representations from Transformers) trained on WikiText-2 corpus using Masked Language Modeling (MLM) and Next Sentence Prediction (NSP) objectives.

A clean PyTorch implementation of BERT and GPT-2 for educational purposes. The model architectures are included with training code that allows for the training of GPT-2 and the pretraining and MLM-finetuning of BERT. Also included are some options for inference using the generated checkpoints.