Question: I downloaded pretrained word vector file (.bin) from facebook (<https://fasttext.cc/docs/en/crawl-vectors.html>)
However, when I tried to use this model it happens to make error.

```
from gensim.models import FastText
fasttext_model = FastText.load_fasttext_format('cc.ko.300.bin', encoding='utf8')

UnicodeDecodeError: 'utf-8' codec can't decode byte 0xed in position 0: invalid continuation byte

```

But weird thing is that it operates well when I use old version bin file (<https://fasttext.cc/docs/en/pretrained-vectors.html>)

What is wrong with these files?? And how can I fix it??

And I must use bin file because I need all n-grams to prevent OOV. So, solutions like 'use .vec file' couldn't be any help.

Thank you so much :)

Answer: 
It is better to load the fastText word embeddings using the fastText package rather than gensim.

You need to first install the fasttext module for python using `pip install fasttext`

Then follow the python code chunk from below:

```
import fasttext
model = fasttext.load_model("path/2/pretrained_fastText_word_embeddings.bin")

```

Source of the code:
It turned out that FB Koean fasttext model has some weird unicodes and gensim will update this problem.

<https://github.com/RaRe-Technologies/gensim/issues/2402>