A TensorFlow implementation of the word to vec algorithm. Allows you to train either a CBOW or Skip-Gram model on any HuggingFace dataset, and save the embeddings for later use. Model and training parameters can be tweaked in 'parameters.py'.
-
Notifications
You must be signed in to change notification settings - Fork 1
License
JustinSima/word2vec
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