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                                            Tobi

Adaptive batching leads to parameters being cut off

Hi @yaliqin, i used the Mlserver CLI directly with `mlserver start mlserver_example/` with structure: ``` mlserver_example/ ├── model-settings.json └── model.py ``` To install mlserver i used `pip install mlserver==1.3.5`

Adaptive batching leads to parameters being cut off

I am using python 3.11.6 on a arm64 machine (M1 mac)

Running in a Jupyter notebook works nicely. Running as a .py causes my computer to freeze due to insane cpu usage.

@willfinnigan This might be related to #14, at least `molscribe.chemistry.convert_graph_to_smiles` spawns 16 processes as well

Does not install with uv tool

Try `uv tool install git+https://github.com/soxoj/maigret.git`