On-Device deployment ready MobileNet-V4 models:
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On-Device deployment ready MobileNet-V4 models:
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https://huggingface.co/collections/byoussef/mobilenetv4-conv-pretrained-tflite-models-66726c945040fc61f5a50b63
byoussef/mobilenetv4-conv-pretrained-tflite-models-66726c945040fc61f5a50b63
collection
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https://huggingface.co/collections/byoussef/mobilenetv4-conv-pretrained-tflite-models-66726c945040fc61f5a50b63
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Models converted from timm's pretrained Pytorch weights to TFLite (fp32 & fp16). 
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Models converted from timm's pretrained Pytorch weights to TFLite (fp32 & fp16). 
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All conv models fully compatible with TFLite Gpu Delegate on Android for fast on-device inference 🚀
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All conv models fully compatible with TFLite Gpu Delegate on Android for fast on-device inference 🚀
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Can also run super fast on Google-Edge-TPU on Pixel phones 🚀
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Can also run super fast on Google-Edge-TPU on Pixel phones 🚀
On-Device deployment ready MobileNet-V4 models:
https://huggingface.co/collections/byoussef/mobilenetv4-conv-pretrained-tflite-models-66726c945040fc61f5a50b63

Models converted from timm's pretrained Pytorch weights to TFLite (fp32 & fp16). 
All conv models fully compatible with TFLite Gpu Delegate on Android for fast on-device inference 🚀
Can also run super fast on Google-Edge-TPU on Pixel phones 🚀
🔥
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