diff --git a/setup.py b/setup.py
index c82a990..31d524f 100644
--- a/setup.py
+++ b/setup.py
@@ -33,7 +33,9 @@
         # 'seqeval',
         'transformers',
         'sentence_transformers',
-        'torch'
+        'torch',
+        'gensim',
+        'gdown'
     ],
     python_requires='>=3.6',
     entry_points={
diff --git a/tweetnlp/model_word_embedding/__init__.py b/tweetnlp/model_word_embedding/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tweetnlp/model_word_embedding/model.py b/tweetnlp/model_word_embedding/model.py
new file mode 100644
index 0000000..f87f5c1
--- /dev/null
+++ b/tweetnlp/model_word_embedding/model.py
@@ -0,0 +1 @@
+# TODO
\ No newline at end of file
diff --git a/tweetnlp/model_word_embedding/util.py b/tweetnlp/model_word_embedding/util.py
new file mode 100644
index 0000000..adeb99f
--- /dev/null
+++ b/tweetnlp/model_word_embedding/util.py
@@ -0,0 +1,116 @@
+""" Download files from web. If Gdrive downloading stacked, try to remove the gdown cache `rm -rf ~/.cache/gdown` """
+import tarfile
+import zipfile
+import gzip
+import requests
+import os
+
+import gdown
+from gensim.models import KeyedVectors
+from gensim.models import fasttext
+
+
+urls = {
+    'en': "https://drive.google.com/file/d/1E8T8PAPa-OafSRqB50awhF6LD9igP4So/view?usp=sharing",
+    'ja': "https://drive.google.com/file/d/1A6SVYkqmtwCTYeFjTrBJuXdVb6UxWkfs/view?usp=sharing",
+    'it': "https://drive.google.com/file/d/14zKLFAFLeL9P2ZG6JV6uBJvWAYxyLCUU/view?usp=sharing",
+    'es': "https://drive.google.com/file/d/1J06BUDIjUQOtWkv7aM1AjS9e59Wf-OcG/view?usp=sharing",
+    'du': "https://drive.google.com/file/d/12yb61Ar5KJMMgAf6T5yLB0UkS6Rnzn4U/view?usp=sharing",
+    'fi': "https://drive.google.com/file/d/1hz4x0hEVPz4QyXN0drzhv-AmjlekNQSy/view?usp=sharing",
+    'fas': "https://drive.google.com/file/d/1yP-JUSHriJCBGQiQVm46rW7W5cFv4DFh/view?usp=sharing"
+}
+
+
+def get_word_embedding_model(model_name: str = 'fasttext'):
+    """ get word embedding model """
+    os.makedirs('./cache', exist_ok=True)
+    if model_name == 'w2v':
+        path = './cache/GoogleNews-vectors-negative300.bin'
+        if not os.path.exists(path):
+            print('downloading {}'.format(model_name))
+            wget(
+                url="https://drive.google.com/u/0/uc?id=0B7XkCwpI5KDYNlNUTTlSS21pQmM&export=download",
+                cache_dir='./cache',
+                gdrive_filename='GoogleNews-vectors-negative300.bin.gz'
+            )
+        model = KeyedVectors.load_word2vec_format(path, binary=True)
+    elif model_name == 'fasttext_cc':
+        path = './cache/crawl-300d-2M-subword.bin'
+        if not os.path.exists(path):
+            print('downloading {}'.format(model_name))
+            wget(
+                url='https://dl.fbaipublicfiles.com/fasttext/vectors-english/crawl-300d-2M-subword.zip',
+                cache_dir='./cache')
+        model = fasttext.load_facebook_model(path)
+        # model = KeyedVectors.load_word2vec_format(path)
+    elif model_name == 'fasttext':
+        path = './cache/wiki-news-300d-1M.vec'
+        if not os.path.exists(path):
+            print('downloading {}'.format(model_name))
+            wget(
+                url='https://dl.fbaipublicfiles.com/fasttext/vectors-english/wiki-news-300d-1M.vec.zip',
+                cache_dir='./cache'
+            )
+        model = KeyedVectors.load_word2vec_format(path)
+    elif model_name == 'glove':
+        path = './cache/glove.840B.300d.gensim.bin'
+        if not os.path.exists(path):
+            print('downloading {}'.format(model_name))
+            wget(
+                url='https://drive.google.com/u/0/uc?id=1DbLuxwDlTRDbhBroOVgn2_fhVUQAVIqN&export=download',
+                cache_dir='./cache',
+                gdrive_filename='glove.840B.300d.gensim.bin.tar.gz'
+            )
+        model = KeyedVectors.load_word2vec_format(path, binary=True)
+    elif model_name == 'pair2vec':
+        path = './cache/pair2vec.fasttext.bin'
+        if not os.path.exists(path):
+            print('downloading {}'.format(model_name))
+            wget(
+                url='https://github.com/asahi417/AnalogyTools/releases/download/0.0.0/pair2vec.fasttext.bin.tar.gz',
+                cache_dir='./cache')
+        model = KeyedVectors.load_word2vec_format(path, binary=True)
+    else:
+        path = './cache/{}.bin'.format(model_name)
+        if not os.path.exists(path):
+            print('downloading {}'.format(model_name))
+            wget(url='https://github.com/asahi417/AnalogyTools/releases/download/0.0.0/{}.bin.tar.gz'.format(model_name),
+                 cache_dir='./cache')
+        model = KeyedVectors.load_word2vec_format(path, binary=True)
+    return model
+
+
+def wget(url, cache_dir: str, gdrive_filename: str = None):
+    """ wget and uncompress data_iterator """
+    path = _wget(url, cache_dir, gdrive_filename=gdrive_filename)
+    if path.endswith('.tar.gz') or path.endswith('.tgz') or path.endswith('.tar'):
+        if path.endswith('.tar'):
+            tar = tarfile.open(path)
+        else:
+            tar = tarfile.open(path, "r:gz")
+        tar.extractall(cache_dir)
+        tar.close()
+        os.remove(path)
+    elif path.endswith('.gz'):
+        with gzip.open(path, 'rb') as f:
+            with open(path.replace('.gz', ''), 'wb') as f_write:
+                f_write.write(f.read())
+        os.remove(path)
+    elif path.endswith('.zip'):
+        with zipfile.ZipFile(path, 'r') as zip_ref:
+            zip_ref.extractall(cache_dir)
+        os.remove(path)
+    # return path
+
+
+def _wget(url: str, cache_dir, gdrive_filename: str = None):
+    """ get data from web """
+    os.makedirs(cache_dir, exist_ok=True)
+    if url.startswith('https://drive.google.com'):
+        assert gdrive_filename is not None, 'please provide fileaname for gdrive download'
+        return gdown.download(url, '{}/{}'.format(cache_dir, gdrive_filename), quiet=False)
+    filename = os.path.basename(url)
+    with open('{}/{}'.format(cache_dir, filename), "wb") as f:
+        r = requests.get(url)
+        f.write(r.content)
+    return '{}/{}'.format(cache_dir, filename)
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