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- ### Limitations and bias
 
 
 
 
 
 
 
 
 
 
 
 
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- [Describe any known limitations or biases]
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- ## Training data
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- [Describe your training data]
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- ## Training procedure
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- [Describe your training procedure]
 
 
 
 
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- ## Evaluation results
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- [Share your evaluation metrics]
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- ## Citations
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-
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- [Any relevant citations]
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-
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- ## License
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-
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- [Your license information]
 
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+ ---
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+ language:
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+ - en
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+ thumbnail: null
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+ tags:
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+ - image-classification
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+ - multimodal
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+ - tensorflow
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+ license: mit
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+ datasets:
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+ - 'flex_civ_vi_screens'
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+ pipeline_tag: image-classification
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+ library_name: tensorflow
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+ ---
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+ # Multimodal Classification Model (BM-v1)
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+ This model combines text and image inputs to perform classification tasks using a ResNet50 backbone for image processing and a text encoder for textual input processing.
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+ ## Model Details
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+ - **Developed by:** BeakerStreet
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+ - **Model type:** Multimodal Classification Model
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+ - **Language(s):** English
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+ - **License:** MIT
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+ - **Parent Model:** ResNet50 (for image processing)
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+ ## Uses
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+ ### Direct Use
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+ The model is designed for multimodal classification tasks that require both image and text inputs. Example usage: