feat: refactor persistence, remove from_sentence_transformers

Author: stephantul

model2vec/hf_utils.py

@@ -14,8 +14,8 @@
 from sklearn.pipeline import Pipeline
 from sklearn.preprocessing import MultiLabelBinarizer
 
-from model2vec.hf_utils import _create_model_card
 from model2vec.model import PathLike, StaticModel
+from model2vec.modelcards import create_model_card
 
 _DEFAULT_TRUST_PATTERN = re.compile(r"sklearn\..+")
 _DEFAULT_MODEL_FILENAME = "pipeline.skops"
@@ -77,7 +77,7 @@ def push_to_hub(
         :param token: The token to use to push to the hub.
         :param private: Whether the repository should be private.
         """
-        from model2vec.hf_utils import push_folder_to_hub
+        from model2vec.persistence import push_folder_to_hub
 
         with TemporaryDirectory() as temp_dir:
             save_pipeline(self, temp_dir)
@@ -266,11 +266,11 @@ def save_pipeline(pipeline: StaticModelPipeline, folder_path: str | Path) -> Non
         name = base_model_name
     else:
         name = "unknown"
-    _create_model_card(
+    create_model_card(
         folder_path,
         base_model_name=name,
         language=pipeline.model.language,
-        template_path="modelcards/classifier_template.md",
+        template_path="classifier_template.md",
     )
 
 
@@ -310,7 +310,7 @@ def evaluate_single_or_multi_label(
         y_transformed,
         predictions_transformed,
         output_dict=output_dict,
-        zero_division=0,
+        zero_division=0,  # type: ignore  # incorrect type in sklearn.
     )
 
     return report