gospacedev
/

blip-image-captioning-base-bf16

image-text-to-text

Inference Endpoints

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gospacedev commited on Apr 27

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@@ -10,8 +10,10 @@ This model is a quantized version of the [Salesforce/blip-image-captioning-base]
 From a memory footprint of 989 MBs -> 494 MBs by quantizing the percision of float32 to bfloat 16, reducing the model's memory size by 50 percent.
 ## Example
-<iframe src="https://drive.google.com/file/d/1IkZalCL0_9EfmW5EHZ1XPC2ODcNmOaUc/preview" width="640" height="480" allow="autoplay"></iframe>
-a cat sitting on top of a purple and red striped carpet
 ## How to Get Started with the Model

 From a memory footprint of 989 MBs -> 494 MBs by quantizing the percision of float32 to bfloat 16, reducing the model's memory size by 50 percent.
 ## Example
+| <img src="https://huggingface.co/gospacedev/blip-image-captioning-base-bf16/resolve/main/cat%20in%20currents.png" width="316" height="316"> |
+|---|
+| a cat sitting on top of a purple and red striped carpet |
 ## How to Get Started with the Model