robvanderg
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Update README.md
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README.md
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@@ -20,4 +20,6 @@ tte = baseEmbeddings.embeddings.token_type_embeddings.weight.clone().detach()
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baseEmbeddings.embeddings.token_type_embeddings.weight[0,:] = tte[1,:]
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```
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More details and other varieties can be found in the repo: https://bitbucket.org/robvanderg/segmentembeds/
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baseEmbeddings.embeddings.token_type_embeddings.weight[0,:] = tte[1,:]
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```
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More details and other varieties can be found in the repo: https://bitbucket.org/robvanderg/segmentembeds/
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Note that when using this model on a single sentence task (or word-level task), the results would be similar as just using `token_type_id=1` for all tokens.
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