mirror of
https://github.com/wassname/Castor.git
synced 2026-09-25 13:10:11 +08:00
d4ac752cf2c6f1a3fdda81ad6fd9ed41be8936ad
Initial integration of Castor components for e2e QA demo.
Castor
Pytorch deep learning models.
- SM model: Similarity between question and candidate answers.
Setting up Pytorch
You need Python 3.6 to use the models in this repository.
As per pytorch.org,
Anaconda is our recommended package manager
conda install pytorch torchvision -c soumith
Other pytorch installation modalities (e.g. via pip) can be seen at pytorch.org.
We also recommend gensim. We use some gensim modules to cache word embeddings.
conda install gensim
Pytorch has good support for GPU computations. CUDA installation guide for linux can be found here
NOTE: Install CUDA libraries before installing conda and pytorch.
data for models
Sourcing and pre-processing of input data for each model is described in respective model/README.md's
Languages
Python
93.7%
JavaScript
3.2%
Java
2.2%
HTML
0.5%
Shell
0.4%