simpletransformers and RATransformers
RATransformers is a complement to Simple Transformers, as it enhances existing transformer models (like those easily accessible via Simple Transformers) by making them relation-aware.
About simpletransformers
ThilinaRajapakse/simpletransformers
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
Wraps HuggingFace Transformers with task-specific model classes that standardize the train/eval/predict workflow across NLP and multi-modal applications. Built-in integrations with Weights & Biases enable experiment tracking, while support for any HuggingFace pretrained model (BERT, RoBERTa, T5, etc.) provides flexibility without lock-in. Dense retrieval, conversational AI, and encoder fine-tuning extend beyond typical classification pipelines.
About RATransformers
JoaoLages/RATransformers
RATransformers 🐭- Make your transformer (like BERT, RoBERTa, GPT-2 and T5) Relation Aware!
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