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We would like to integrate our custom-trained ML model for insect detection at some point, when it is in a good state. The model builds on python and is based on the autrainer library (https://autrainer.github.io/autrainer/index.html). We also plan on uploading the model on huggingface to make it easily updatable and usable. To run the model, a Python environment in which autrainer can be installed and executed should therefore be sufficient.
The text was updated successfully, but these errors were encountered:
A general Python-based framework for integrating models will be needed for the re-factoring and new architecture where this becomes a module connected to the database with REST APIs. Huggingface could be used to retrieve models remotely but this needs to be investigated further.
We would like to integrate our custom-trained ML model for insect detection at some point, when it is in a good state. The model builds on python and is based on the autrainer library (https://autrainer.github.io/autrainer/index.html). We also plan on uploading the model on huggingface to make it easily updatable and usable. To run the model, a Python environment in which autrainer can be installed and executed should therefore be sufficient.
The text was updated successfully, but these errors were encountered: