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Update README.md

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@@ -19,7 +19,7 @@ CryptoBERTRefined is a fine tuned model from [CryptoBERT by Elkulako](https://hu
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  # Classification Example
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  Input:
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- ```
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  !pip -q install transformers
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  from transformers import TextClassificationPipeline, AutoModelForSequenceClassification, AutoTokenizer
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@@ -36,7 +36,7 @@ preds = pipe(df_posts)
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  print(preds)
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  ```
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  Output:
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- ```
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  [{'label': 'Neutral', 'score': 0.8427615165710449}, {'label': 'Bullish', 'score': 0.5444369912147522}, {'label': 'Bearish', 'score': 0.8388379812240601}]
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  ```
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  # Classification Example
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  Input:
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+ ```python
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  !pip -q install transformers
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  from transformers import TextClassificationPipeline, AutoModelForSequenceClassification, AutoTokenizer
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  print(preds)
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  ```
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  Output:
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+ ```python
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  [{'label': 'Neutral', 'score': 0.8427615165710449}, {'label': 'Bullish', 'score': 0.5444369912147522}, {'label': 'Bearish', 'score': 0.8388379812240601}]
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  ```
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