Add model card loading (#45)

* Add model card loading

* Add tests

model2vec/model.py

@@ -154,9 +154,11 @@ def from_pretrained(
         :param token: The huggingface token to use.
         :return: A StaticEmbedder
         """
-        embeddings, tokenizer, config = load_pretrained(path, token=token)
+        embeddings, tokenizer, config, metadata = load_pretrained(path, token=token)
 
-        return cls(embeddings, tokenizer, config)
+        return cls(
+            embeddings, tokenizer, config, base_model_name=metadata.get("base_model"), language=metadata.get("language")
+        )
 
     def encode(
         self,

model2vec/utils.py

@@ -102,7 +102,7 @@ def _create_model_card(
 
 def load_pretrained(
     folder_or_repo_path: str | Path, token: str | None = None
-) -> tuple[np.ndarray, Tokenizer, dict[str, Any]]:
+) -> tuple[np.ndarray, Tokenizer, dict[str, Any], dict[str, Any]]:
     """
     Loads a pretrained model from a folder.
 
@@ -111,7 +111,7 @@ def load_pretrained(
         - If the local path is not found, we will attempt to load from the huggingface hub.
     :param token: The huggingface token to use.
     :raises: FileNotFoundError if the folder exists, but the file does not exist locally.
-    :return: The embeddings, tokenizer, and config.
+    :return: The embeddings, tokenizer, config, and metadata.
 
     """
     folder_or_repo_path = Path(folder_or_repo_path)
@@ -133,6 +133,10 @@ def load_pretrained(
         if not tokenizer_path.exists():
             raise FileNotFoundError(f"Tokenizer file does not exist in {folder_or_repo_path}")
 
+        # README is optional, so this is a bit finicky.
+        readme_path = folder_or_repo_path / "README.md"
+        metadata = _get_metadata_from_readme(readme_path)
+
     else:
         logger.info("Folder does not exist locally, attempting to use huggingface hub.")
         try:
@@ -148,6 +152,13 @@ def load_pretrained(
                 # Raise original exception.
                 raise e
 
+        try:
+            readme_path = huggingface_hub.hf_hub_download(folder_or_repo_path.as_posix(), "README.md", token=token)
+            metadata = _get_metadata_from_readme(Path(readme_path))
+        except huggingface_hub.utils.EntryNotFoundError:
+            logger.info("No README found in the model folder. No model card loaded.")
+            metadata = {}
+
         config_path = huggingface_hub.hf_hub_download(folder_or_repo_path.as_posix(), "config.json", token=token)
         tokenizer_path = huggingface_hub.hf_hub_download(folder_or_repo_path.as_posix(), "tokenizer.json", token=token)
 
@@ -162,7 +173,19 @@ def load_pretrained(
             f"Number of tokens does not match number of embeddings: `{len(tokenizer.get_vocab())}` vs `{len(embeddings)}`"
         )
 
-    return embeddings, tokenizer, config
+    return embeddings, tokenizer, config, metadata
+
+
+def _get_metadata_from_readme(readme_path: Path) -> dict[str, Any]:
+    """Get metadata from a README file."""
+    if not readme_path.exists():
+        logger.info(f"README file not found in {readme_path}. No model card loaded.")
+        return {}
+    model_card = ModelCard.load(readme_path)
+    data: dict[str, Any] = model_card.data.to_dict()
+    if not data:
+        logger.info("File README.md exists, but was empty. No model card loaded.")
+    return data
 
 
 def push_folder_to_hub(folder_path: Path, repo_id: str, private: bool, token: str | None) -> None:

tests/test_utils.py

@@ -0,0 +1,25 @@
+from pathlib import Path
+from tempfile import NamedTemporaryFile
+
+from model2vec.utils import _get_metadata_from_readme
+
+
+def test__get_metadata_from_readme_not_exists() -> None:
+    """Test getting metadata from a README."""
+    assert _get_metadata_from_readme(Path("zzz")) == {}
+
+
+def test__get_metadata_from_readme_mocked_file() -> None:
+    """Test getting metadata from a README."""
+    with NamedTemporaryFile() as f:
+        f.write(b"---\nkey: value\n---\n")
+        f.flush()
+        assert _get_metadata_from_readme(Path(f.name))["key"] == "value"
+
+
+def test__get_metadata_from_readme_mocked_file_keys() -> None:
+    """Test getting metadata from a README."""
+    with NamedTemporaryFile() as f:
+        f.write(b"")
+        f.flush()
+        assert set(_get_metadata_from_readme(Path(f.name))) == set()