I want to use an already trained Doc2Vec from a published paper.
Paper
Whalen, R., Lungeanu, A., DeChurch, L., & Contractor, N. (2020). Patent Similarity Data and Innovation Metrics. Journal of Empirical Legal Studies, 17(3), 615–639. https://doi.org/10.1111/jels.12261
Code
Data
However, when trying to load the model (patent_doc2v_10e.model) an error is raised. Edit: The file can be downloaded from the data repository (link above). I am not the author of the paper nor the creator of the model.
from gensim.models.doc2vec import Doc2Vec
model = Doc2Vec.load("patent_doc2v_10e.model")
FileNotFoundError: [Errno 2] No such file or directory: 'patent_doc2v_10e.model.trainables.syn1neg.npy'
Am I missing files or do I have to load the model in other ways?
Where did the file patent_doc2v_10e.model
come from?
If trying to load that file, it generates such an error about another file with the name patent_doc2v_10e.model.trainables.syn1neg.npy
, then that other file is a necessary part of the full model that should have been created alongside patent_doc2v_10e.model
when that patent_doc2v_10e.model
file was first .save()
-persisted to disk.
You'll need to go back to where patent_doc2v_10e.model
was created, & find the extra missing patent_doc2v_10e.model.trainables.syn1neg.npy
file (& possibly others also starting patent_doc2v_10e.model…
). All such files created at the same .save()
must be kept/moved together, at the same filesystem path, for any future .load()
to succeed.
(Additionally, if you are training these yourself from original data, I'd suggest being sure to use a current version of Gensim. Only older pre-4.0 versions will create any save files with trainables
in the name.)