Replace DeBERTa with ELECTRA in docs

As DeBERTa doesn't support attention mask matrices

README.md

@@ -11,7 +11,7 @@ SpanMarker for Named Entity Recognition
 [📄 Documentation](https://tomaarsen.github.io/SpanMarkerNER) | 📊 [Thesis](https://raw.githubusercontent.com/tomaarsen/SpanMarkerNER/main/thesis.pdf)
 </div>
 
-SpanMarker is a framework for training powerful Named Entity Recognition models using familiar encoders such as BERT, RoBERTa and DeBERTa.
+SpanMarker is a framework for training powerful Named Entity Recognition models using familiar encoders such as BERT, RoBERTa and ELECTRA.
 Built on top of the familiar [🤗 Transformers](https://github.com/huggingface/transformers) library, SpanMarker inherits a wide range of powerful functionalities, such as easily loading and saving models, hyperparameter optimization, automatic logging in various tools, checkpointing, callbacks, mixed precision training, 8-bit inference, and more.
 
 <!--Tightly implemented on top of the [🤗 Transformers](https://github.com/huggingface/transformers/) library, SpanMarker can take advantage of its valuable functionality.-->

docs/index.rst

@@ -8,7 +8,7 @@ SpanMarker for Named Entity Recognition
 #######################################
 
 SpanMarker is a framework for training powerful Named Entity Recognition models using familiar encoders such as BERT,
-RoBERTa and DeBERTa. Tightly implemented on top of the `🤗 Transformers <https://github.com/huggingface/transformers>`_
+RoBERTa and ELECTRA. Tightly implemented on top of the `🤗 Transformers <https://github.com/huggingface/transformers>`_
 library, SpanMarker can take advantage of its valuable functionality.
 
 Based on the `PL-Marker <https://arxiv.org/pdf/2109.06067.pdf>`_ paper, SpanMarker breaks the mold through its