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Typo SpanBET -> SpanBERT #65

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Typo SpanBET -> SpanBERT #65

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -12,7 +12,7 @@ both the masking scheme and the training objectives (see our paper for more deta
* [SpanBERT (base & cased)](https://dl.fbaipublicfiles.com/fairseq/models/spanbert_hf_base.tar.gz): 12-layer, 768-hidden, 12-heads , 110M parameters
* [SpanBERT (large & cased)](https://dl.fbaipublicfiles.com/fairseq/models/spanbert_hf.tar.gz): 24-layer, 1024-hidden, 16-heads, 340M parameters

These models have the same format as the [HuggingFace BERT models](https://github.com/huggingface/pytorch-transformers), so you can easily replace them with our SpanBET models. If you would like to use our [fine-tuning code](#fine-tuning), the model paths are already hard-coded in the code :)
These models have the same format as the [HuggingFace BERT models](https://github.com/huggingface/pytorch-transformers), so you can easily replace them with our SpanBERT models. If you would like to use our [fine-tuning code](#fine-tuning), the model paths are already hard-coded in the code :)


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