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@@ -46,6 +46,12 @@ Specifically, this model is a *bert-base-cased* model that was fine-tuned on the
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  If you'd like to use a larger BERT-large model fine-tuned on the same dataset, a [**bert-large-NER**](https://huggingface.co/dslim/bert-large-NER/) version is also available.
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  ## Intended uses & limitations
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  If you'd like to use a larger BERT-large model fine-tuned on the same dataset, a [**bert-large-NER**](https://huggingface.co/dslim/bert-large-NER/) version is also available.
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+ ### Available NER models
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+ | Model Name | Description | Parameters |
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+ |-------------------|-------------|------------------|
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+ | [bert-large-NER](https://huggingface.co/dslim/bert-large-NER/) | Fine-tuned bert-large-cased - larger model with slightly better performance | 340M |
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+ | [bert-base-NER](https://huggingface.co/dslim/bert-base-NER)-([uncased](https://huggingface.co/dslim/bert-base-NER-uncased)) | Fine-tuned bert-base, available in both cased and uncased versions | 110M |
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+ | [distillbert-NER](https://huggingface.co/dslim/distillbert-NER) | Fine-tuned DistilBERT - a smaller, faster, lighter version of BERT | 66M |
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  ## Intended uses & limitations
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