xlm mlm ende 1024 Table of Contents 1. Model Details 2. Uses 3. Bias, Risks, and Limitations 4. Training 5. Evaluation 6. Environmental Impact 7. Technical Specifications 8. Citation 9. Model Card Authors 10. How To Get Started With the Model Model Details The XLM model was proposed in Cross lingual Language Model Pretraining by Guillaume Lample, Alexis Conneau. xlm mlm ende 1024 is a transformer pretrained using a masked language modeling (MLM) objective for English German. This model uses language embeddings to specify the language used at inference. See the Hugging Face Multilingual Models for Inference docs for further details. Model Description Developed by: Guillaume Lample, Alexis Conneau, see associated paper Model type: Language model Language(s) (NLP): English German License: CC BY NC 4.0 Related Models: xlm clm enfr 1024, xlm clm ende 1024, xlm mlm enfr 1024, xlm mlm enro 1024 Resources for more information: Associated paper GitHub Repo Hugging Face Multilingual Models for Inference docs Uses Direct Use The model is a language model. The model can be used for masked language modeling. Downstream Use To learn more about this task and potential downstream uses, see the Hug…
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