fix(ner): convertir les entrees ONNX en int64

Force input_ids et attention_mask en int64 avant inference CamemBERT ONNX, pour eviter les erreurs de dtype selon les tokenizers/environnements Windows. Test cible: test_camembert_manager_cache.py.

camembert_ner_manager.py

@@ -183,8 +183,16 @@ class CamembertNerManager:
         )
         offsets = encoding.pop("offset_mapping")[0]  # (seq_len, 2)
 
-        # Inférence
-        inputs = {k: v for k, v in encoding.items() if k in ("input_ids", "attention_mask")}
+        # Inférence. Certains tokenizers renvoient des tableaux int32 sous
+        # Windows, alors que le graphe CamemBERT ONNX attend des int64.
+        inputs = {}
+        for key, value in encoding.items():
+            if key not in ("input_ids", "attention_mask"):
+                continue
+            array = np.asarray(value)
+            if array.dtype != np.int64:
+                array = array.astype(np.int64)
+            inputs[key] = array
         outputs = self._session.run(None, inputs)
         logits = outputs[0][0]  # (seq_len, num_labels)