Update README.md
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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/
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tokenizer = AutoTokenizer.from_pretrained("dmedhi/
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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"]
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