初始化项目，由ModelHub XC社区提供模型

Model: mindfossil/5g-core-rca-anomaly-model-v4-merged
Source: Original Platform

handler.py

@@ -0,0 +1,22 @@
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+class EndpointHandler:
+    def __init__(self, path=""):
+        self.tokenizer = AutoTokenizer.from_pretrained(path)
+        self.model = AutoModelForCausalLM.from_pretrained(
+            path, torch_dtype=torch.float16, device_map="auto"
+        )
+
+    def __call__(self, data):
+        inputs = data.pop("inputs", data)
+        params = data.pop("parameters", {})
+        encoded = self.tokenizer(inputs, return_tensors="pt").to(self.model.device)
+        output = self.model.generate(
+            **encoded,
+            max_new_tokens=params.get("max_new_tokens", 600),
+            temperature=params.get("temperature", 0.1),
+            repetition_penalty=params.get("repetition_penalty", 1.1),
+            do_sample=True,
+        )
+        return self.tokenizer.decode(output[0][encoded["input_ids"].shape[1]:], skip_special_tokens=True)