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- Here's a filled version of the model card for Behpouyan Co with placeholders where specific information is missing:
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-
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  ---
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-
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- ```yaml
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  library_name: transformers
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- tags: []
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- ```
 
 
 
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  # Model Card for Model ID
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  The model can be integrated into larger applications such as chatbots, customer service systems, and marketing tools to assess sentiment in real-time feedback. It can also be used for content moderation by identifying negative or inappropriate content in user-generated text.
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- ### Out-of-Scope Use
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-
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- The model should not be used for:
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- - Analyzing text in languages other than Persian.
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- - Tasks requiring high accuracy for sensitive decisions without further validation.
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- - Predicting complex emotional tones or sarcasm in text, as the model is focused on general sentiment analysis.
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-
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- ## Bias, Risks, and Limitations
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- The model might exhibit biases present in the data it was trained on. For example:
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- - It may have difficulty analyzing texts that include sarcasm or irony.
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- - It may show biases related to the prevalence of specific topics in the training data, which could lead to misclassification.
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-
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- ### Recommendations
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- Users should be aware of the potential biases and limitations in the model’s predictions. It is recommended to use the model as part of a broader system that includes human verification for sensitive or critical use cases.
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  ## How to Get Started with the Model
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  Use the code below to get started with the model.
 
 
 
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  ---
 
 
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  library_name: transformers
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+ tags:
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+ - Persian
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+ - Sentiment Analysis
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+ - BERT
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+ ---
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  # Model Card for Model ID
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  The model can be integrated into larger applications such as chatbots, customer service systems, and marketing tools to assess sentiment in real-time feedback. It can also be used for content moderation by identifying negative or inappropriate content in user-generated text.
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  ## How to Get Started with the Model
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  Use the code below to get started with the model.