--- a
+++ b/biovil_t/pretrained.py
@@ -0,0 +1,85 @@
+#  -------------------------------------------------------------------------------------------
+#  Copyright (c) Microsoft Corporation. All rights reserved.
+#  Licensed under the MIT License (MIT). See LICENSE in the repo root for license information.
+#  -------------------------------------------------------------------------------------------
+
+from __future__ import annotations
+
+import tempfile
+from pathlib import Path
+
+from torchvision.datasets.utils import download_url
+
+from .model import ImageModel
+from .types import ImageEncoderType
+
+
+JOINT_FEATURE_SIZE = 128
+
+BIOMED_VLP_CXR_BERT_SPECIALIZED = "microsoft/BiomedVLP-CXR-BERT-specialized"
+BIOMED_VLP_BIOVIL_T = "microsoft/BiomedVLP-BioViL-T"
+HF_URL = "https://huggingface.co"
+
+CXR_BERT_COMMIT_TAG = "v1.1"
+BIOVIL_T_COMMIT_TAG = "v1.0"
+
+BIOVIL_IMAGE_WEIGHTS_NAME = "biovil_image_resnet50_proj_size_128.pt"
+BIOVIL_IMAGE_WEIGHTS_URL = f"{HF_URL}/{BIOMED_VLP_CXR_BERT_SPECIALIZED}/resolve/{CXR_BERT_COMMIT_TAG}/{BIOVIL_IMAGE_WEIGHTS_NAME}"  # noqa: E501
+BIOVIL_IMAGE_WEIGHTS_MD5 = "02ce6ee460f72efd599295f440dbb453"
+
+BIOVIL_T_IMAGE_WEIGHTS_NAME = "biovil_t_image_model_proj_size_128.pt"
+BIOVIL_T_IMAGE_WEIGHTS_URL = f"{HF_URL}/{BIOMED_VLP_BIOVIL_T}/resolve/{BIOVIL_T_COMMIT_TAG}/{BIOVIL_T_IMAGE_WEIGHTS_NAME}"  # noqa: E501
+BIOVIL_T_IMAGE_WEIGHTS_MD5 = "a83080e2f23aa584a4f2b24c39b1bb64"
+
+
+def _download_biovil_image_model_weights() -> Path:
+    """Download image model weights from Hugging Face.
+
+    More information available at https://huggingface.co/microsoft/BiomedVLP-CXR-BERT-specialized.
+    """
+    root_dir = tempfile.gettempdir()
+    download_url(
+        BIOVIL_IMAGE_WEIGHTS_URL,
+        root=root_dir,
+        filename=BIOVIL_IMAGE_WEIGHTS_NAME,
+        md5=BIOVIL_IMAGE_WEIGHTS_MD5,
+    )
+    return Path(root_dir, BIOVIL_IMAGE_WEIGHTS_NAME)
+
+
+def _download_biovil_t_image_model_weights() -> Path:
+    """Download image model weights from Hugging Face.
+
+    More information available at https://huggingface.co/microsoft/microsoft/BiomedVLP-BioViL-T.
+    """
+    root_dir = tempfile.gettempdir()
+    download_url(
+        BIOVIL_T_IMAGE_WEIGHTS_URL,
+        root=root_dir,
+        filename=BIOVIL_T_IMAGE_WEIGHTS_NAME,
+        md5=BIOVIL_T_IMAGE_WEIGHTS_MD5
+    )
+    return Path(root_dir, BIOVIL_T_IMAGE_WEIGHTS_NAME)
+
+
+def get_biovil_image_encoder(pretrained: bool = True) -> ImageModel:
+    """Download weights from Hugging Face and instantiate the image model."""
+    resnet_checkpoint_path = _download_biovil_image_model_weights() if pretrained else None
+
+    image_model = ImageModel(
+        img_encoder_type=ImageEncoderType.RESNET50,
+        joint_feature_size=JOINT_FEATURE_SIZE,
+        pretrained_model_path=resnet_checkpoint_path,
+    )
+    return image_model
+
+
+def get_biovil_t_image_encoder() -> ImageModel:
+    """Download weights from Hugging Face and instantiate the image model."""
+
+    biovilt_checkpoint_path = _download_biovil_t_image_model_weights()
+    model_type = ImageEncoderType.RESNET50_MULTI_IMAGE
+    image_model = ImageModel(img_encoder_type=model_type,
+                             joint_feature_size=JOINT_FEATURE_SIZE,
+                             pretrained_model_path=biovilt_checkpoint_path)
+    return image_model