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README.md
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@@ -9,6 +9,7 @@ language:
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base_model:
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- blanchefort/rubert-base-cased-sentiment
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pipeline_tag: text-classification
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---
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# Kostya165/rubert_emotion_slicer
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@@ -55,7 +56,4 @@ text = "Мне очень понравилось!"
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inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True)
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outputs = model(**inputs)
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predicted_class = outputs.logits.argmax(dim=-1).item()
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print(f"Предсказанный класс: {predicted_class}")
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base_model:
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- blanchefort/rubert-base-cased-sentiment
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pipeline_tag: text-classification
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new_version: Kostya165/rubert_tiny2_russian_emotion_sentiment
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---
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# Kostya165/rubert_emotion_slicer
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inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True)
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outputs = model(**inputs)
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predicted_class = outputs.logits.argmax(dim=-1).item()
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print(f"Предсказанный класс: {predicted_class}")
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