packages/remotes/README.md

ether0.remotes

Server code for ether0 reward functions.

Molecular Transformer (MolTrans) Model

To run the /translate endpoint, you need a pre-trained MolTrans PyTorch model. This can be acquired from Future House's Google Drive via the following command:

curl --location --output src/ether0/USPTO480k_model_step_400000.pt \
  "https://drive.usercontent.google.com/download?id=1Rjd3wXg2oLeCpNUofFRvVvQoOcgWd6vf&export=download&confirm=t"

Or more manually:

1. Go to this notebook
2. Download the USPTO480k_model_step_400000.pt linked in the trained_model_url variable's linked Google Drive file: https://drive.google.com/uc?id=1ywJCJHunoPTB5wr6KdZ8aLv7tMFMBHNy
3. Set the environment variable ETHER0_REMOTES_MOLTRANS_MODEL_PATH to the downloaded PyTorch model's location, or place the model in the default checked ether0 source code folder (src/ether0).

Serving

To run the server:

1. pip install with the serve extra: pip install ether0.remotes[serve]
2. Then run the following command:

ETHER0_REMOTES_API_TOKEN="abc123" \
ETHER0_REMOTES_MOLTRANS_MODEL_PATH="/path/to/USPTO480k_model_step_400000.pt" \
ether0-serve