Update README.md
Browse files
README.md
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@@ -100,7 +100,6 @@ texts = ["student", "żak"]
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tokens = tok(texts, padding=True, truncation=True, return_tensors="pt")
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with torch.no_grad():
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out = mdl(**tokens)
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# simple mean pooling over tokens; use model-specific pooling if provided
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emb = out.last_hidden_state.mean(dim=1)
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emb = F.normalize(emb, p=2, dim=1)
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tokens = tok(texts, padding=True, truncation=True, return_tensors="pt")
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with torch.no_grad():
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out = mdl(**tokens)
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emb = out.last_hidden_state.mean(dim=1)
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emb = F.normalize(emb, p=2, dim=1)
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