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README.md
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Core implementation of Jina XLM-RoBERTa
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Core implementation of Jina XLM-RoBERTa
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This implementation is adapted from [XLM-Roberta](https://huggingface.co/docs/transformers/en/model_doc/xlm-roberta). In contrast to the original implementation, this model uses Rotary positional encodings and supports flash-attention 2.
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### Models that use this implementation
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to be added soon
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### Converting weights
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Weights from an [original XLMRoberta model](https://huggingface.co/FacebookAI/xlm-roberta-large) can be converted using the `convert_roberta_weights_to_flash.py` script in the model repository.
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