Added CamembertForQuestionAnswering (#2746)

* Added CamembertForQuestionAnswering

* fixed camembert tokenizer case

examples/run_squad.py

@@ -38,6 +38,9 @@ from transformers import (
     BertConfig,
     BertForQuestionAnswering,
     BertTokenizer,
+    CamembertConfig,
+    CamembertForQuestionAnswering,
+    CamembertTokenizer,
     DistilBertConfig,
     DistilBertForQuestionAnswering,
     DistilBertTokenizer,
@@ -70,12 +73,16 @@ except ImportError:
 logger = logging.getLogger(__name__)
 
 ALL_MODELS = sum(
-    (tuple(conf.pretrained_config_archive_map.keys()) for conf in (BertConfig, RobertaConfig, XLNetConfig, XLMConfig)),
+    (
+        tuple(conf.pretrained_config_archive_map.keys())
+        for conf in (BertConfig, CamembertConfig, RobertaConfig, XLNetConfig, XLMConfig)
+    ),
     (),
 )
 
 MODEL_CLASSES = {
     "bert": (BertConfig, BertForQuestionAnswering, BertTokenizer),
+    "camembert": (CamembertConfig, CamembertForQuestionAnswering, CamembertTokenizer),
     "roberta": (RobertaConfig, RobertaForQuestionAnswering, RobertaTokenizer),
     "xlnet": (XLNetConfig, XLNetForQuestionAnswering, XLNetTokenizer),
     "xlm": (XLMConfig, XLMForQuestionAnswering, XLMTokenizer),
@@ -212,7 +219,7 @@ def train(args, train_dataset, model, tokenizer):
                 "end_positions": batch[4],
             }
 
-            if args.model_type in ["xlm", "roberta", "distilbert"]:
+            if args.model_type in ["xlm", "roberta", "distilbert", "camembert"]:
                 del inputs["token_type_ids"]
 
             if args.model_type in ["xlnet", "xlm"]:
@@ -327,7 +334,7 @@ def evaluate(args, model, tokenizer, prefix=""):
                 "token_type_ids": batch[2],
             }
 
-            if args.model_type in ["xlm", "roberta", "distilbert"]:
+            if args.model_type in ["xlm", "roberta", "distilbert", "camembert"]:
                 del inputs["token_type_ids"]
 
             example_indices = batch[3]