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Update README.md

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@@ -7,7 +7,7 @@ tags:
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  - Discourse Analysis
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  - German text classification
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  ---
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- # Roberta for German Discourse Classification
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  This is a xlm Roberta model finetuned on a German Discourse dataset of 60 discourses having a total over 10k sentences.
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@@ -40,7 +40,7 @@ def get_label(sentence):
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  bert_dict[keys[i]] = round(probs[i].item(), 3)
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  return bert_dict
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- MODEL_NAME = 'RashidNLP/Roberta-German-Discourse'
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  MODEL_DIR = 'model'
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  CHECKPOINT_DIR = 'checkpoints'
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  device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
 
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  - Discourse Analysis
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  - German text classification
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  ---
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+ # Roberta for German text Classification
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  This is a xlm Roberta model finetuned on a German Discourse dataset of 60 discourses having a total over 10k sentences.
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  bert_dict[keys[i]] = round(probs[i].item(), 3)
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  return bert_dict
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+ MODEL_NAME = 'RashidNLP/German-Text-Classification'
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  MODEL_DIR = 'model'
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  CHECKPOINT_DIR = 'checkpoints'
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  device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')