diff --git a/fairseq/checkpoint_utils.py b/fairseq/checkpoint_utils.py
index a5be928f0..4f74fb025 100644
--- a/fairseq/checkpoint_utils.py
+++ b/fairseq/checkpoint_utils.py
@@ -27,6 +27,8 @@ from fairseq.file_io import PathManager
 from fairseq.models import FairseqDecoder, FairseqEncoder
 from omegaconf import DictConfig, open_dict, OmegaConf
 
+from pathlib import Path
+
 
 logger = logging.getLogger(__name__)
 
@@ -483,6 +485,34 @@ def load_model_ensemble_and_task(
     return ensemble, cfg, task
 
 
+def load_model_ensemble_and_task_from_hf_hub(
+    model_id,
+    cache_dir: Optional[str] = None,
+    arg_overrides: Optional[Dict[str, Any]] = None,
+    **kwargs: Any,
+):
+    try:
+        from huggingface_hub import snapshot_download
+    except ImportError:
+        raise ImportError(
+            "You need to install huggingface_hub to use `load_from_hf_hub`. "
+            "See https://pypi.org/project/huggingface-hub/ for installation."
+        )
+
+    library_name = "fairseq"
+    cache_dir = cache_dir or (Path.home() / ".cache" / library_name).as_posix()
+    cache_dir = snapshot_download(
+        model_id, cache_dir=cache_dir, library_name=library_name, **kwargs
+    )
+
+    _arg_overrides = arg_overrides or {}
+    _arg_overrides["data"] = cache_dir
+    return load_model_ensemble_and_task(
+        [p.as_posix() for p in Path(cache_dir).glob("*.pt")],
+        arg_overrides=_arg_overrides
+    )
+
+
 def checkpoint_paths(path, pattern=r"checkpoint(\d+)\.pt", keep_match=False):
     """Retrieves all checkpoints found in `path` directory.
 
diff --git a/tests/test_hf_hub.py b/tests/test_hf_hub.py
new file mode 100644
index 000000000..f39d1fa8e
--- /dev/null
+++ b/tests/test_hf_hub.py
@@ -0,0 +1,28 @@
+#!/usr/bin/env python3
+# Copyright (c) Facebook, Inc. and its affiliates.
+#
+# This source code is licensed under the MIT license found in the
+# LICENSE file in the root directory of this source tree.
+
+import unittest
+
+import torch
+try:
+    import huggingface_hub
+except ImportError:
+    huggingface_hub = None
+
+from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub
+
+
+@unittest.skipIf(not huggingface_hub, "Requires huggingface_hub install")
+class TestHuggingFaceHub(unittest.TestCase):
+    @torch.no_grad()
+    def test_hf_fastspeech2(self):
+        hf_model_id = "facebook/fastspeech2-en-ljspeech"
+        models, cfg, task = load_model_ensemble_and_task_from_hf_hub(hf_model_id)
+        self.assertTrue(len(models) > 0)
+
+
+if __name__ == "__main__":
+    unittest.main()