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Update README.md

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- # Chronos o1 1.5B - Quantum-Enhanced Sentiment Analysis
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  <div align="center">
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@@ -34,7 +34,7 @@ VibeThinker-1.5B (1536D embeddings)
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  L2 Normalization
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  |
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  v
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- Quantum Kernel Similarity (cosine-based)
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  |
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  v
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  Weighted Classification
@@ -96,7 +96,7 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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  tokenizer = AutoTokenizer.from_pretrained("squ11z1/chronos-o1-1.5b")
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  model = AutoModel.from_pretrained(
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- "your-username/chronos-o1-1.5b",
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  torch_dtype=torch.float16
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  ).to(device).eval()
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+ # Chronos o1 1.5B - Quantum-Classical model
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  <div align="center">
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  L2 Normalization
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  |
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  v
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+ Quantum Kernel
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  |
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  v
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  Weighted Classification
 
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  tokenizer = AutoTokenizer.from_pretrained("squ11z1/chronos-o1-1.5b")
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  model = AutoModel.from_pretrained(
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+ "squ11z1/chronos-o1-1.5b",
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  torch_dtype=torch.float16
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  ).to(device).eval()
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