This is a fine-tuned version of
ProtGPT2
: a language model that speaks the protein language and can be used for de novo protein design and engineering.
Dataset
Protein data set retrieved from Research Collaboratory for Structural Bioinformatics (RCSB) Protein Data Bank (PDB).
Only the OXIDOREDUCTASE enzymes were used.
You can find the JSON formatted data @
oxidos.json
How to Use?
>>> from transformers import pipeline
>>> pipe = pipeline("text-generation", model="zypchn/ProtGPT2-Oxido")
>>> sequences = pipe("", max_length=100, do_sample=True, top_k=950, repetition_penalty=1.2, num_return_sequences=5, eos_token_id=0)
# input field has left blank for diversity
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zypchn ProtGPT2-Oxido online free url in huggingface.co:
ProtGPT2-Oxido is an open source model from GitHub that offers a free installation service, and any user can find ProtGPT2-Oxido on GitHub to install. At the same time, huggingface.co provides the effect of ProtGPT2-Oxido install, users can directly use ProtGPT2-Oxido installed effect in huggingface.co for debugging and trial. It also supports api for free installation.