We train a Transformer-based masked language model on one hundred languages, using more than two terabytes of filtered CommonCrawl data. Our model, dubbed XLM-R ...
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RoBERTa Model with a language modeling head on top for CLM fine-tuning. This model inherits from PreTrainedModel. Check the superclass documentation for the ...
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XLM-RoBERTa — transformers 3.0.2 documentation - Hugging Face
huggingface.co › model_doc › xlmroberta
This paper shows that pretraining multilingual language models at scale leads to significant performance gains for a wide range of cross-lingual transfer tasks.
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The bare XLM-RoBERTa-XL Model transformer outputting raw hidden-states without any specific head on top. This model inherits from PreTrainedModel. Check the ...
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This paper shows that pretraining multilingual language models at scale leads to significant performance gains for a wide range of cross-lingual transfer tasks.
Missing: مجله ایواره? q= https://
XLM-RoBERTa — transformers 3.4.0 documentation - Hugging Face
huggingface.co › model_doc › xlmroberta
This paper shows that pretraining multilingual language models at scale leads to significant performance gains for a wide range of cross-lingual transfer tasks.
The XLM model was proposed in Cross-lingual Language Model Pretraining by Guillaume Lample, Alexis Conneau. It's a transformer pretrained using one of the ...
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