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Update README.md

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@@ -52,8 +52,8 @@ import torch
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  import torch.nn.functional as F
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  # Load model and tokenizer
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- model = AutoModel.from_pretrained("dmedhi/pawanembd-68m")
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- tokenizer = AutoTokenizer.from_pretrained("dmedhi/pawanembd-68m")
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  # Encode sentences
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  sentences = ["This is an example sentence", "Each sentence is converted to a vector"]
 
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  import torch.nn.functional as F
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  # Load model and tokenizer
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+ model = AutoModel.from_pretrained("dmedhi/PawanEmbd-68M")
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+ tokenizer = AutoTokenizer.from_pretrained("dmedhi/PawanEmbd-68M")
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  # Encode sentences
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  sentences = ["This is an example sentence", "Each sentence is converted to a vector"]