What are the deployment options available for this API?

Roboflow supports deployment in the following environments:

Can I fine-tune this model?

You can can use Roboflow to train your own version of this model using your own custom data, or data from this model.

How to Use the Pallet Load Manifest` Detection API

Use this pre-trained Pallet Load Manifest` computer vision model to retrieve predictions with our hosted API or deploy to the edge. Learn More About Roboflow Inference

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Trained On: pallet-load-manifest-m5dgi 110 Images

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Model Type: Florence 2 (Large) LoRA

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This model doesn't support in app visualization. Please deploy to the edge to use it.

See Deployment Options

Roboflow Inference

Inference is Roboflow's open source deployment package for developer-friendly vision inference.

How to Deploy the Pallet Load Manifest` Detection API

Using Roboflow, you can deploy your object detection model to a range of environments, including:

Raspberry Pi
NVIDIA Jetson
A Docker container
A web page
A Python script using the Roboflow SDK.

Below, we have instructions on how to use our deployment options.

Code Snippets

Note: Florence 2 (Large) LoRA does not support Hosted API deployment.

More Deployment Resources

Roboflow Documentation

Look through our full documentation for more information and resources on how to utilize this model.

Deploy to NVIDIA Jetson

Perform inference at the edge with a Jetson via our Docker container.

Deploy Mobile iOS

Utilize your model on your mobile device.

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