About Keras Getting started Developer guides Keras 3 API documentation Models API Layers API Callbacks API Ops API Optimizers Metrics Losses Data loading Built-in small datasets Keras Applications Mixed precision Multi-device distribution RNG API Utilities KerasTuner KerasCV KerasNLP KerasHub Pretrained Models Models API Tokenizers Preprocessing Layers Modeling Layers Samplers Metrics Keras 2 API documentation Code examples KerasTuner: Hyperparameter Tuning KerasHub: Pretrained Models KerasCV: Computer Vision Workflows KerasNLP: Natural Language Workflows
► Keras 3 API documentation / KerasHub / Pretrained Models / XLM-RoBERTa

XLM-RoBERTa

Models, tokenizers, and preprocessing layers for XLM-Roberta, as described in "Unsupervised Cross-lingual Representation Learning at Scale".

For a full list of available presets, see the models page.

XLMRobertaTokenizer

  • XLMRobertaTokenizer class
  • from_preset method

XLMRobertaBackbone model

  • XLMRobertaBackbone class
  • from_preset method
  • token_embedding property

XLMRobertaTextClassifier model

  • XLMRobertaTextClassifier class
  • from_preset method
  • backbone property
  • preprocessor property

XLMRobertaTextClassifierPreprocessor layer

  • XLMRobertaTextClassifierPreprocessor class
  • from_preset method
  • tokenizer property

XLMRobertaMaskedLM model

  • XLMRobertaMaskedLM class
  • from_preset method
  • backbone property
  • preprocessor property

XLMRobertaMaskedLMPreprocessor layer

  • XLMRobertaMaskedLMPreprocessor class
  • from_preset method
  • tokenizer property
XLM-RoBERTa
XLMRobertaTokenizer
XLMRobertaBackbone model
XLMRobertaTextClassifier model
XLMRobertaTextClassifierPreprocessor layer
XLMRobertaMaskedLM model
XLMRobertaMaskedLMPreprocessor layer
Terms | Privacy