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@@ -33,6 +33,14 @@ model = WordTransformer.from_pretrained(Roksana/hindi_wic_muril)
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  ```
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  ## Citations and Acknowledgements
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  ```
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  @inproceedings{dubossarsky-dairkee-2024-strengthening-wic,
 
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  ```
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+ OR load it as a simple embedding model:
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+ ```python
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+ # Load pre-trained model and tokenizer
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+ tokenizer = BertTokenizer.from_pretrained(model_name)
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+ model = BertModel.from_pretrained(model_name)
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+ ```
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+
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+
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  ## Citations and Acknowledgements
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  ```
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  @inproceedings{dubossarsky-dairkee-2024-strengthening-wic,