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@@ -111,8 +111,8 @@ To use this model, you can use the following code with the Transformers library:
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  ```python
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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- model = AutoModelForSequenceClassification.from_pretrained("your-username/your-repo-name") # Replace with the actual repo name
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- tokenizer = AutoTokenizer.from_pretrained("your-username/your-repo-name") # Replace with the actual repo name
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  ```
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  3. Tokenize the input text and make predictions:
 
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  ```python
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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+ model = AutoModelForSequenceClassification.from_pretrained("iamohitkaushik1/distilbert-active-learning-github-sentiment")
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+ tokenizer = AutoTokenizer.from_pretrained("iamohitkaushik1/distilbert-active-learning-github-sentiment")
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  ```
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  3. Tokenize the input text and make predictions: