The main entry point is wsd.py which has three modes: train,
eval, and topk. See the documentation for the command line flags
in wsd.py for options. To download a sample pre-trained model, run
the download_model.sh script. For an example call to generate top K
results, see the topk.sh script (which assumes download_model.sh
has been called in the root directory).
forked from noa/wsd
-
Notifications
You must be signed in to change notification settings - Fork 0
License
spokencloud/wsd
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
No description, website, or topics provided.
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published
Languages
- Python 98.5%
- Shell 1.5%