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README.md
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- Hugging Face Deployment & Optimization:
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The Issue: We struggled initially with configuring the Hugging Face environment; the model execution was too slow for a real-time application.
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The Solution: After investigating various deployment strategies, we shifted to using the Hugging Face Inference Client. This transition optimized our inference pipeline, allowing the model to run within acceptable time limits and ensuring a smooth user experience.
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- Hugging Face Deployment & Optimization:
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The Issue: We struggled initially with configuring the Hugging Face environment; the model execution was too slow for a real-time application.
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The Solution: After investigating various deployment strategies, we shifted to using the Hugging Face Inference Client. This transition optimized our inference pipeline, allowing the model to run within acceptable time limits and ensuring a smooth user experience.
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The App User Flow:
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![Uploading Gemini_Generated_Image_ih4k5sih4k5sih4k.png…]()
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