Upload new model safetensors with trained LMHead (#3)

Upload model/tokenizer config and safetensors weights (#1)

Update readme (#2)

Update README.md

Rename generate.py to mdlm_de_novo_generate.py

Rename mlm_generate_utils.py to generate_utils.py

Rename generate_motifs.py to mdlm_generate_motifs.py

Rename mdlm_motif_benchmarking.py to generate_motifs.py

Delete utils

Upload 34 files

Upload .DS_Store

Update generate.py

Delete data/train.csv

Delete data/val.csv

Delete data/test.csv

Update README.md

Delete configs

Delete scripts

Upload 12 files

Upload 12 files

Delete train.csv

Update README.md

Update README.md

Delete test.csv

Delete val.csv

Delete requirements.txt

Upload 4 files

Delete scripts

Delete benchmarks/DeepLoc

Upload diffusion.py

Upload 2 files

Upload 2 files

Delete models

Update README.md

Upload 2 files

Upload train.py

Upload 3 files

Upload config.py

Benchmarking pipeline. Predicts the specific type of the generated membrane protein and the subcellular localization of the generated protein

Dependencies for MDLM

Train/test/val splits with MMSeqs

Update README.md

Update README.md

Upload 15 files

initial commit