Update with commit e09473a817c5e5871e11cc81004355ef30250502

See: https://github.com/huggingface/transformers/commit/e09473a817c5e5871e11cc81004355ef30250502

frameworks.json

@@ -82,5 +82,6 @@
 {"model_type":"xlm","pytorch":true,"tensorflow":true,"flax":false,"processor":"AutoTokenizer"}
 {"model_type":"xlm-prophetnet","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
 {"model_type":"xlm-roberta","pytorch":true,"tensorflow":true,"flax":false,"processor":"AutoTokenizer"}
+{"model_type":"xlm-roberta-xl","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}
 {"model_type":"xlnet","pytorch":true,"tensorflow":true,"flax":false,"processor":"AutoTokenizer"}
 {"model_type":"yoso","pytorch":true,"tensorflow":false,"flax":false,"processor":"AutoTokenizer"}

pipeline_tags.json

@@ -590,6 +590,13 @@
 {"model_class":"XLMRobertaForSequenceClassification","pipeline_tag":"text-classification","auto_class":"AutoModelForSequenceClassification"}
 {"model_class":"XLMRobertaForTokenClassification","pipeline_tag":"token-classification","auto_class":"AutoModelForTokenClassification"}
 {"model_class":"XLMRobertaModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
+{"model_class":"XLMRobertaXLForCausalLM","pipeline_tag":"text-generation","auto_class":"AutoModelForCausalLM"}
+{"model_class":"XLMRobertaXLForMaskedLM","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
+{"model_class":"XLMRobertaXLForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"AutoModelForMultipleChoice"}
+{"model_class":"XLMRobertaXLForQuestionAnswering","pipeline_tag":"question-answering","auto_class":"AutoModelForQuestionAnswering"}
+{"model_class":"XLMRobertaXLForSequenceClassification","pipeline_tag":"text-classification","auto_class":"AutoModelForSequenceClassification"}
+{"model_class":"XLMRobertaXLForTokenClassification","pipeline_tag":"token-classification","auto_class":"AutoModelForTokenClassification"}
+{"model_class":"XLMRobertaXLModel","pipeline_tag":"feature-extraction","auto_class":"AutoModel"}
 {"model_class":"XLMWithLMHeadModel","pipeline_tag":"fill-mask","auto_class":"AutoModelForMaskedLM"}
 {"model_class":"XLNetForMultipleChoice","pipeline_tag":"multiple-choice","auto_class":"AutoModelForMultipleChoice"}
 {"model_class":"XLNetForQuestionAnsweringSimple","pipeline_tag":"question-answering","auto_class":"AutoModelForQuestionAnswering"}