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AI · August 16, 2019

Pytorch library of NLP models has a new model: Facebook's RoBERTa

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. - Release New model: RoBERTa, tokenizer sequence pair handling for sequence classification models. · huggingface/transformers

Pytorch library of NLP models has a new model: Facebook's RoBERTa launched on August 16, 2019 with 5 votes, #1,178 of 3,185 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 7 years on.

What it does

RoBERTa (from Facebook), a Robustly Optimized BERT Pretraining Approach by Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du et al. These methods add the model-specific special tokens to sequences. The sentence pair creates a list of tokens with the cls and sep tokens according to the way the model was trained. If the text_pair is specified, encode will return a tuple of encoded sequences. If the add_special_tokens is set to True , the sequences will be built with the models' respective special tokens using the previously described methods. There are three new classes with this release that instantiate one of the base model classes of the library from a pre-trained model configuration:…from github.com

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