Update broken URLs

README.md

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 # SpanMarker with bert-base-uncased on BioNLP2004
 
-This is a [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) model trained on the [BioNLP2004](https://huggingface.co/datasets/tner/bionlp2004) dataset that can be used for Named Entity Recognition. This SpanMarker model uses [bert-base-uncased](https://huggingface.co/models/bert-base-uncased) as the underlying encoder. See [train.py](train.py) for the training script.
+This is a [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) model trained on the [BioNLP2004](https://huggingface.co/datasets/tner/bionlp2004) dataset that can be used for Named Entity Recognition. This SpanMarker model uses [bert-base-uncased](https://huggingface.co/bert-base-uncased) as the underlying encoder. See [train.py](train.py) for the training script.
 
 ## Model Details
 
 ### Model Description
 
 - **Model Type:** SpanMarker
-- **Encoder:** [bert-base-uncased](https://huggingface.co/models/bert-base-uncased)
+- **Encoder:** [bert-base-uncased](https://huggingface.co/bert-base-uncased)
 - **Maximum Sequence Length:** 256 tokens
 - **Maximum Entity Length:** 8 words
 - **Training Dataset:** [BioNLP2004](https://huggingface.co/datasets/tner/bionlp2004)