UnpicklingError: invalid load key, '<'.

[ShrikanthSingh]

The code snippet I used :

from textaugment import Word2vec
t = Word2vec(model='/content/drive/My Drive/ewiki8/enwik9')
#t.augment('The stories are good')

[JosephSefara]

The problem might be how you saved your model. See. Try building the model in the same notebook and test.

[ShrikanthSingh]

The problem might be how you saved your model. See. Try building the model in the same notebook and test.

I tried even loading the ' Google News from Google drive' but it throws error UnpicklingError: invalid load key, '3'.

[JosephSefara]

Model not trained using Gensim you have to load it using this code then pass that model:
E.g

from gensim.models import Word2Vec
model = Word2Vec.load_word2vec_format('GoogleNews-vectors-negative300.bin', binary=True, norm_only=True)
from textaugment import Word2vec
t = Word2vec(model=model)