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README.md
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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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```yaml
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library_name: transformers
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tags:
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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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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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## 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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### 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.
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