simpletransformers and transformers-tutorials

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 transformers-tutorials

abhimishra91/transformers-tutorials

Github repo with tutorials to fine tune transformers for diff NLP tasks