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@@ -8,7 +8,7 @@ datasets:
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  - wikipedia
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  ---
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- # MCTI Text Classification Task (case/uncased) DRAFT
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  Disclaimer:
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@@ -35,14 +35,6 @@ introduced in ["Using transfer learning to classify long unstructured texts with
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  [this repository](https://huggingface.co/unb-lamfo-nlp-mcti). This model is uncased: it does not make a difference
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  between english and English.
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-
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- Classification_Architecture_model.png
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- https://github.com/Marcosdib/S2Query/upload
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-
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-
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- Disclaimer: The team releasing BERT did not write a model card for this model so this model card has been written by
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- the Hugging Face team.
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-
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  ## Model description
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  Nullam congue hendrerit turpis et facilisis. Cras accumsan ante mi, eu hendrerit nulla finibus at. Donec imperdiet,
@@ -62,6 +54,8 @@ nisi nec pulvinar suscipit, dolor nulla sagittis massa, et vehicula ante felis q
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  consectetur adipiscing elit. Maecenas viverra tempus risus non ornare. Donec in vehicula est. Pellentesque vulputate
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  bibendum cursus. Nunc volutpat vitae neque ut bibendum.
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  ## Model variations
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  XXXX has originally been released in base and large variations, for cased and uncased input text. The uncased models
 
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  - wikipedia
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  ---
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+ # MCTI Text Classification Task (uncased) DRAFT
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  Disclaimer:
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  [this repository](https://huggingface.co/unb-lamfo-nlp-mcti). This model is uncased: it does not make a difference
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  between english and English.
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  ## Model description
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  Nullam congue hendrerit turpis et facilisis. Cras accumsan ante mi, eu hendrerit nulla finibus at. Donec imperdiet,
 
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  consectetur adipiscing elit. Maecenas viverra tempus risus non ornare. Donec in vehicula est. Pellentesque vulputate
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  bibendum cursus. Nunc volutpat vitae neque ut bibendum.
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+ https://github.com/Marcosdib/S2Query/Classification_Architecture_model.png
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+
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  ## Model variations
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  XXXX has originally been released in base and large variations, for cased and uncased input text. The uncased models