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- #### Quick Commands
 
 
 
 
 
 
 
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- 1. quick test - `python quick_test.py`
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- 2. Run inference
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- - Using pdb file - `python infer.py --pdb "/workspace/antibody-developability-abmelt/AbMelt/public_tm/train_pdbs/alemtuzumab.pdb" --name "alemtuzumab" --config configs/testing_config.yaml`
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- - Using chains - `python infer.py --h [] --l [] --name [] --config configs/testing_config.yaml`
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- `python infer.py --h "QVQLQESGPGLVRPSQTLSLTCTVSGFTFTDFYMNWVRQPPGRGLEWIGFIRDKAKGYTTEYNPSVKGRVTMLVDTSKNQFSLRLSSVTAADTAVYYCAREGHTAAPFDYWGQGSLVTVSS" --l "DIQMTQSPSSLSASVGDRVTITCKASQNIDKYLNWYQQKPGKAPKLLIYNTNNLQTGVPSRFSGSGSGTDFTFTISSLQPEDIATYYCLQHISRPRTFGQGTKVEIK" --name "alemtuzumab" --config configs/testing_config.yaml`
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ title: AbMelt Benchmark
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+ emoji: 🧬
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+ colorFrom: blue
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+ colorTo: purple
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+ sdk: docker
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+ pinned: false
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+ ---
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+ # AbMelt Inference Pipeline Benchmark
 
 
 
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+ This Space contains the Docker environment for running AbMelt antibody thermostability predictions with GROMACS and CUDA support.
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+
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+ ## Usage
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+
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+ This Space is used as a Docker image for HF Jobs:
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+
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+ ```bash
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+ hf jobs run --namespace hugging-science --flavor a100-large \
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+ hf.co/spaces/hugging-science/abmelt-benchmark \
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+ bash -c "source /usr/local/gromacs/bin/GMXRC && conda activate abmelt-3-11-env && cd /opt/antibody-developability-abmelt/abmelt_infer_pipeline && python infer.py --h '...' --l '...' --config configs/paper_config.yaml --timing-report timing.json"
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+ ```