Glove Embedding + GRU + Torch. Takes an input string and classifies each token(word) into tags in a sentence, such as Noun, Verb, Pronoun, Adjectives and so on.

Model is already pretrained and stored inside of model.pt Vocab is already built and stored in vocab.pkl

• To run simple call "python tag.py"
• Enter a sentence and press enter
• The model will automcatically tag each token and print the result.

• Best success with Glove embeddings
• Achieved higher train acc and val than base