Fix HuggingFace API compatibility

- Add auto_map to config.json for proper model loading
- Update max_output_len from 20 to 35 to match trained model
- Export NamerPipeline and load_namer_pipeline from namer package
- Verify API works with local testing

config.json

@@ -2,12 +2,15 @@
   "architectures": [
     "NamerModel"
   ],
+  "auto_map": {
+    "AutoModel": "modeling_namer.NamerModel"
+  },
   "d_model": 128,
   "dim_feedforward": 512,
   "dropout": 0.0,
   "dtype": "float32",
   "eos_token_id": 40,
-  "max_output_len": 20,
+  "max_output_len": 35,
   "model_type": "custom",
   "nhead": 4,
   "num_encoder_layers": 4,

namer/__init__.py

@@ -15,6 +15,24 @@ from namer.utils import (
     read_double,
 )
 
+# Import NamerPipeline from HuggingFace integration module
+# This is available when the package is used with HuggingFace
+import sys
+from pathlib import Path
+
+# Add parent directory to path to find modeling_namer.py
+_parent_dir = Path(__file__).parent.parent
+if str(_parent_dir) not in sys.path:
+    sys.path.insert(0, str(_parent_dir))
+
+try:
+    from modeling_namer import NamerPipeline, load_namer_pipeline
+    _has_hf_integration = True
+except ImportError:
+    _has_hf_integration = False
+    NamerPipeline = None  # type: ignore
+    load_namer_pipeline = None  # type: ignore
+
 __all__ = [
     "NamerTransformer",
     "load_namer_model",
@@ -28,3 +46,7 @@ __all__ = [
     "read_triplet",
     "read_double",
 ]
+
+# Add HF integration to exports if available
+if _has_hf_integration:
+    __all__.extend(["NamerPipeline", "load_namer_pipeline"])