XLM-RoBERTa (base-sized model)

XLM-RoBERTa model pre-trained on 2.5TB of filtered CommonCrawl data containing 100 languages. It was introduced in the paper Unsupervised Cross-lingual Representation Learning at Scale by Conneau et al. and first released in this repository. Disclaimer: The team releasing XLM-RoBERTa did not write a model card for this model so this model card has been written by the Hugging Face team.

Tags: Fill-Mask Transformers PyTorch TensorFlow JAX ONNX Safetensors 94 languages xlm-roberta exbert Inference Endpoints arxiv: 1911.02116 License: mit

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