poltextlab
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EngEmBERT3

Text Classification

Inference Endpoints

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poltextlab commited on Jan 24

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@@ -5,7 +5,7 @@ Model description Cased fine-tuned BERT model for English, trained on (manually
 Intended uses & limitations The model can be used as any other (cased) BERT model. It has been tested recognizing positive, negative, and neutral sentences in (parliamentary) pre-agenda speeches, where:
-'Label_0': Negative 'Label_1': Neutral 'Label_2': Positiv
 Training The fine-tuned version of the original bert-base-cased model (bert-base-cased), trained on HunEmPoli corpus, translated with Google Translate API.

 Intended uses & limitations The model can be used as any other (cased) BERT model. It has been tested recognizing positive, negative, and neutral sentences in (parliamentary) pre-agenda speeches, where:
+'Label_0': Negative 'Label_1': Neutral 'Label_2': Positive
 Training The fine-tuned version of the original bert-base-cased model (bert-base-cased), trained on HunEmPoli corpus, translated with Google Translate API.