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app.py
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@@ -60,7 +60,7 @@ paragraph = '''<b>What's BLAZE-IT?</b>
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This app is a demo of [BLAZE-IT](https://huggingface.co/osiria/blaze-it), a <b>lightweight</b> and <b>uncased</b> italian language model (<b>55M parameters</b> and <b>220MB</b> size). The model is here fine-tuned for named entity recognition on WikiNER (cross-validated F1 score of 89.53%) plus a custom, hand-crafted dataset of 3.500 manually annotated Wikipedia paragraphs.
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- <span style="background-color:lightgreen;border-radius: 3px;padding: 3px;"><b>ᴘᴇʀ</b> person</span>: names of persons
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- <span style="background-color:orange;border-radius: 3px;padding: 3px;"><b>ʟᴏᴄ</b> location</span>: names of places
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This app is a demo of [BLAZE-IT](https://huggingface.co/osiria/blaze-it), a <b>lightweight</b> and <b>uncased</b> italian language model (<b>55M parameters</b> and <b>220MB</b> size). The model is here fine-tuned for named entity recognition on WikiNER (cross-validated F1 score of 89.53%) plus a custom, hand-crafted dataset of 3.500 manually annotated Wikipedia paragraphs.
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It can recognize entities of the following types (in order to make the most of the color-coding, it is recommended to use the light theme for the interface):
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- <span style="background-color:lightgreen;border-radius: 3px;padding: 3px;"><b>ᴘᴇʀ</b> person</span>: names of persons
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- <span style="background-color:orange;border-radius: 3px;padding: 3px;"><b>ʟᴏᴄ</b> location</span>: names of places
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