Get Model Information

Run the following command:

import frogml

repository = "<REPO_NAME>"
name = "<MODEL_NAME>"
version = "<MODEL_VERSION>"

model_information = frogml.<FORMAT>.get_model_info(
    repository=repository,
    model_name=name,
    version=version,
)

Where:

<REPO_NAME>: The name of the repository where the model is located
<MODEL_NAME>: The unique name of the model
<MODEL_VERSION>: The target version of the model

<FORMAT>: The format of the model, which must be one of the following values:

catboost
files
huggingface
onnx
pytorch
scikit_learn

For example:

import frogml

repository = "ml-local"
name = "sentiment-analyzer"
version = "1.2.0"

model_information = frogml.huggingface.get_model_info(
    repository=repository,
    model_name=name,
    version=version,
)