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@@ -44,19 +44,10 @@ The model has been trained using an efficient few-shot learning technique that i
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  3. The Training data can be downloaded from [here](https://docs.google.com/spreadsheets/d/1BVDardwVs04ZWmc5_Eg62Lyr_w_OuXysQwhne8ErkoA/edit?usp=sharing)
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  ## Usage and Inference
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-
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- To use this model for inference, first install the SetFit library:
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-
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- ```bash
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- pip install -U dataset
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- python -m pip install setfit==0.5.0
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- pip install -U sentence_transformers
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- ```
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-
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  For a global overview of the pipeline used for inference please refer to this [colab notebook](https://colab.research.google.com/drive/1GgEGrhQZfA1pbcB9Zl0VtV7L5wXdh6vj?usp=sharing)
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  ## Model Performance
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- The performance of the model on our internal test set is:
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  * Accuracy: 0.68
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  * Balanced_Accuracy: 0.45
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  * MCC: 0.37
 
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  3. The Training data can be downloaded from [here](https://docs.google.com/spreadsheets/d/1BVDardwVs04ZWmc5_Eg62Lyr_w_OuXysQwhne8ErkoA/edit?usp=sharing)
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  ## Usage and Inference
 
 
 
 
 
 
 
 
 
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  For a global overview of the pipeline used for inference please refer to this [colab notebook](https://colab.research.google.com/drive/1GgEGrhQZfA1pbcB9Zl0VtV7L5wXdh6vj?usp=sharing)
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  ## Model Performance
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+ The performances of the model on our internal test set are:
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  * Accuracy: 0.68
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  * Balanced_Accuracy: 0.45
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  * MCC: 0.37