Fix base-encoder link in HF hub

README.md

@@ -34,7 +34,7 @@ widget:
     to invoke Article 155 of the Spanish Constitution over Catalonia after the Catalan
     Parliament declared the independence.
 pipeline_tag: token-classification
-base_model: numind/generic-entity_recognition-v1
+base_model: numind/generic-entity_recognition_NER-v1
 model-index:
 - name: SpanMarker with numind/generic-entity_recognition-v1 on FewNERD
   results:
@@ -59,13 +59,13 @@ model-index:
 
 # SpanMarker with numind/generic-entity_recognition-v1 on FewNERD
 
-This is a [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) model trained on the [FewNERD](https://huggingface.co/datasets/DFKI-SLT/few-nerd) dataset that can be used for Named Entity Recognition. This SpanMarker model uses [numind/generic-entity_recognition-v1](https://huggingface.co/numind/generic-entity_recognition-v1) as the underlying encoder.
+This is a [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) model trained on the [FewNERD](https://huggingface.co/datasets/DFKI-SLT/few-nerd) dataset that can be used for Named Entity Recognition. This SpanMarker model uses [numind/generic-entity_recognition_NER-v1](https://huggingface.co/numind/generic-entity_recognition_NER-v1) as the underlying encoder.
 
 ## Model Details
 
 ### Model Description
 - **Model Type:** SpanMarker
-- **Encoder:** [numind/generic-entity_recognition-v1](https://huggingface.co/numind/generic-entity_recognition-v1)
+- **Encoder:** [numind/generic-entity_recognition_NER-v1](https://huggingface.co/numind/generic-entity_recognition_NER-v1)
 - **Maximum Sequence Length:** 256 tokens
 - **Maximum Entity Length:** 8 words
 - **Training Dataset:** [FewNERD](https://huggingface.co/datasets/DFKI-SLT/few-nerd)