diff --git a/src/xpmir/text/huggingface/base.py b/src/xpmir/text/huggingface/base.py
index 9c99cdd..d2f776a 100644
--- a/src/xpmir/text/huggingface/base.py
+++ b/src/xpmir/text/huggingface/base.py
@@ -1,9 +1,10 @@
-from abc import ABC, abstractmethod
-from dataclasses import InitVar
 import logging
 import os
+from abc import ABC, abstractmethod
+from dataclasses import InitVar
 from pathlib import Path
 from typing import Type
+
 import torch.nn as nn
 from experimaestro import Config, Param
 
@@ -30,7 +31,12 @@ class HFModelConfigFromId(HFModelConfig):
     model_id: Param[str]
     """HuggingFace Model ID"""
 
-    def get_config(self, options: ModuleInitOptions, automodel: Type[AutoModel]):
+    def get_config(
+        self,
+        options: ModuleInitOptions,
+        autoconfig: Type[AutoModel],
+        automodel: Type[AutoConfig],
+    ):
         model_id_or_path = self.model_id
 
         # Use saved models
@@ -49,19 +55,29 @@ def get_config(self, options: ModuleInitOptions, automodel: Type[AutoModel]):
                 )
 
         # Load the model configuration
-        config = AutoConfig.from_pretrained(model_id_or_path)
+        config = autoconfig.from_pretrained(model_id_or_path)
 
         # Return it
         return config, model_id_or_path
 
-    def __call__(self, options: ModuleInitOptions, automodel: Type[AutoModel]):
-        config, model_id_or_path = self.get_config(options, automodel)
+    def __call__(
+        self,
+        options: ModuleInitOptions,
+        autoconfig: Type[AutoConfig],
+        automodel: Type[AutoModel],
+    ):
+        config, model_id_or_path = self.get_config(options, autoconfig, automodel)
 
         if options.mode == ModuleInitMode.NONE or options.mode == ModuleInitMode.RANDOM:
             logging.info("Random initialization of HF model")
             return config, automodel.from_config(config)
 
-        logging.info("Loading model from HF (%s)", self.model_id)
+        logging.info(
+            "Loading model from HF (%s) with model %s.%s",
+            self.model_id,
+            automodel.__module__,
+            automodel.__name__,
+        )
         return config, automodel.from_pretrained(model_id_or_path, config=config)
 
 
@@ -81,6 +97,10 @@ class HFModel(Module):
     def from_pretrained_id(cls, model_id: str):
         return cls(config=HFModelConfigFromId(model_id=model_id))
 
+    @property
+    def autoconfig(self):
+        return AutoConfig
+
     @property
     def automodel(self):
         return AutoModel
@@ -93,7 +113,9 @@ def __initialize__(self, options: ModuleInitOptions):
         """
         super().__initialize__(options)
 
-        self.hf_config, self.model = self.config(options, self.automodel)
+        self.hf_config, self.model = self.config(
+            options, self.autoconfig, self.automodel
+        )
 
     @property
     def contextual_model(self) -> nn.Module: