* Added support for Albert when fine-tuning for NER

* Added support for Albert in NER pipeline

* Added command-line options to examples/ner/run_ner.py to better control tokenization

* Added class AlbertForTokenClassification

* Changed output for NerPipeline to use .convert_ids_to_tokens(...) instead of .decode(...) to better reflect tokens

src/transformers/__init__.py

@@ -255,6 +255,7 @@ if is_torch_available():
         AlbertForMaskedLM,
         AlbertForSequenceClassification,
         AlbertForQuestionAnswering,
+        AlbertForTokenClassification,
         load_tf_weights_in_albert,
         ALBERT_PRETRAINED_MODEL_ARCHIVE_MAP,
     )