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Gender-Classification-russian-name

Text Classification
Transformers
Safetensors
Russian
distilbert
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@@ -23,8 +23,11 @@ from transformers import TextClassificationPipeline,
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  from transliterate import translit
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  tokenizer = AutoTokenizer.from_pretrained("distilbert/distilbert-base-uncased")
 
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  model = AutoModelForSequenceClassification.from_pretrained("CustomModel_Russia", num_labels=2)
 
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  nlp = TextClassificationPipeline(model=model, tokenizer=tokenizer)
 
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  #If the language of the text is different from English, use the 'translit' library.
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  name = "Cтанислав"
 
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  from transliterate import translit
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  tokenizer = AutoTokenizer.from_pretrained("distilbert/distilbert-base-uncased")
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  model = AutoModelForSequenceClassification.from_pretrained("CustomModel_Russia", num_labels=2)
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  nlp = TextClassificationPipeline(model=model, tokenizer=tokenizer)
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  #If the language of the text is different from English, use the 'translit' library.
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  name = "Cтанислав"