--- library_name: transformers tags: [] --- ## THIS PROTEIN VEC ADAPTATION WAS MODIFIED FROM https://github.com/tymor22/protein-vec All credit for the original work goes to Tymor Hamamsy and the following authors of this paper https://www.biorxiv.org/content/10.1101/2023.11.26.568742v1 We have added a Huggingface compatible wrapper for the model in protvec.py Please consider liking the model page and starring the github repo if you are going to use it :) ``` https://huggingface.co/lhallee/ProteinVec https://github.com/lhallee/ProteinVecHuggingface ``` Clone and install ``` git clone https://github.com/lhallee/ProteinVecHuggingface.git pip install torch pytorch_lightning transformers ``` To use from hugggingface ``` from transformers import T5Tokenizer from protvec import ProteinVec, ProteinVecConfig tokenizer = T5Tokenizer.from_pretrained('lhallee/ProteinVec') model = ProteinVec.from_pretrained('lhallee/ProteinVec', config=ProteinVecConfig()) ``` Embed a single sequence with ```embed``` ``` model.to_eval() model = model.cuda() # remove if cpu inference embedding = model.embed('SEQWENCE').detach().cpu() # torch.tensor(1, 512) ``` Use a particular AspectVec by setting the ```inference_mask``` ``` model.aspect_to_keys_dict # dictionary showing the aspects ### The model is set to ALL by default to use full ProteinVec model.inference_mask = model.get_mask('EC') # for Enzyme Comission AspectVec embedding = model.embed(...) ``` To half precision weights ``` model.to_half() ``` ## The license for the protein vec code ### BSD 3-Clause License Copyright (c) 2023, Tymor Hamamsy Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.