Applications

SeeMe.ai supports multiple types of AI models, frameworks, and framework versions. To access, manage, and describe these, we use applications:

Get all supported applications

Print a list of the applications in your SeeMe.ai client:

client.applications

Every application has the following properties:

Property	Type	Description
id	str	Unique id for the application
created_at	str	The creation date
updated_at	str	Last updated date
framework	str	The framework used to train the model
framework_version	str	The framework version used to train the model
base_framework	str	The base framework used by the framework
base_framework_version	str	The base framework version used by the framework
application	ApplicationType	The type of application: “image_classification”, “object_detection”, “text_classification”, “structured”.
inference_host	str	The internal host of the inference engine (if not used at the edge)
can_convert_to_onnx	bool	Models can automatically be converted to ONNX
can_convert_to_onnx_int8	bool	Models can automatically be converted to ONNX int8
can_convert_to_coreml	bool	Models can automatically be converted to Core ML
can_convert_to_tensorflow	bool	Models can automatically be converted to Tensorflow (mostly for further conversion to Tensorflow Lite for example)
can_convert_to_tflite	bool	Models can automatically be converted to Tensorflow Lite
has_embedding_support	bool	The application supports embeddings
continual_training	bool	Continue training from your own previous model version.
has_labels_file	bool	A labels file is available
inference_extensions	str	The list of files with these extensions that need to be uploaded before the model can perform predictions.

You can update the local list of applications by:

client.update_applications()

Get the application id

Before you can upload and use your model to make predictions, you need to add an application_id:

from torch import __version__ as torch_version
from fastai import __version__ as fastai_version

# Get the application_id for your framework (version).
application_id = client.get_application_id(
    base_framework=Framework.PYTORCH,
    framework=Framework.FASTAI,
    base_framework_version=torch_version,
    framework_version=fastai_version,
    application=ApplicationType.IMAGE_CLASSIFICATION
)

If your combination is not supported, you will get a NotImplementedError with contact information of support@seeme.ai.