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Update README.md

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@@ -41,7 +41,7 @@ model = AutoModel.from_pretrained('qilowoq/AbLang_light', trust_remote_code=True
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  sequence_Example = ' '.join("GSELTQDPAVSVALGQTVRITCQGDSLRNYYASWYQQKPRQAPVLVFYGKNNRPSGIPDRFSGSSSGNTASLTISGAQAEDEADYYCNSRDSSSNHLVFGGGTKLTVLSQ")
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  encoded_input = tokenizer(sequence_Example, return_tensors='pt')
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- model_output = model(encoded_input)
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  ```
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  Sequence embeddings can be produced as follows:
 
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  sequence_Example = ' '.join("GSELTQDPAVSVALGQTVRITCQGDSLRNYYASWYQQKPRQAPVLVFYGKNNRPSGIPDRFSGSSSGNTASLTISGAQAEDEADYYCNSRDSSSNHLVFGGGTKLTVLSQ")
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  encoded_input = tokenizer(sequence_Example, return_tensors='pt')
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+ model_output = model(**encoded_input)
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  ```
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  Sequence embeddings can be produced as follows: