dsindex/transformers_examples
reference pytorch code for huggingface transformers
This project offers practical, runnable code examples for training and fine-tuning large language models using the Hugging Face Transformers library. It helps machine learning engineers or researchers working with natural language processing (NLP) to quickly set up and experiment with tasks like Named Entity Recognition (NER) or text classification. You provide text datasets and configuration, and the project outputs trained models ready for deployment or further evaluation.
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Use this if you are an NLP practitioner needing ready-to-use code to train or fine-tune Transformer models for tasks like NER, text classification, or language modeling.
Not ideal if you are a business user looking for a no-code solution or someone primarily interested in using pre-trained models without custom training.
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Nov 16, 2020
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