Update README.md
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README.md
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@@ -46,6 +46,7 @@ import torch
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# Load model and tokenizer
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model = AutoModelForTokenClassification.from_pretrained("oleksiydolgykh/event-message-detector")
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tokenizer = AutoTokenizer.from_pretrained("oleksiydolgykh/event-message-detector")
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# Example message
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message = "[MESSAGE] [user1]: Let's have a meeting tomorrow at 10 AM."
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@@ -59,4 +60,4 @@ with torch.no_grad():
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# Process outputs
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logits = outputs.logits
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predictions = torch.
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# Load model and tokenizer
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model = AutoModelForTokenClassification.from_pretrained("oleksiydolgykh/event-message-detector")
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tokenizer = AutoTokenizer.from_pretrained("oleksiydolgykh/event-message-detector")
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tokenizer.truncation_side = "left"
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# Example message
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message = "[MESSAGE] [user1]: Let's have a meeting tomorrow at 10 AM."
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# Process outputs
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logits = outputs.logits
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predictions = torch.softmax(logits, dim=-1)[:, 1].mean()
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