初始化项目，由ModelHub XC社区提供模型

Model: round-bird/georgia-sports-llama3-sft
Source: Original Platform

handler.py

@@ -0,0 +1,40 @@
+from typing import Any
+import torch
+from transformers import AutoModelForCausalLM, LlamaTokenizerFast, pipeline
+
+
+class EndpointHandler:
+    def __init__(self, path: str = ""):
+        self.tokenizer = LlamaTokenizerFast.from_pretrained(path)
+        self.model = AutoModelForCausalLM.from_pretrained(
+            path,
+            torch_dtype=torch.bfloat16,
+            device_map="auto",
+        )
+        self.pipe = pipeline(
+            "text-generation",
+            model=self.model,
+            tokenizer=self.tokenizer,
+        )
+
+    def __call__(self, data: dict[str, Any]) -> list[dict[str, Any]]:
+        inputs = data.get("inputs", "")
+        parameters = data.get("parameters", {})
+
+        if isinstance(inputs, list):
+            prompt = self.tokenizer.apply_chat_template(
+                inputs, tokenize=False, add_generation_prompt=True
+            )
+        else:
+            prompt = inputs
+
+        outputs = self.pipe(
+            prompt,
+            max_new_tokens=parameters.get("max_new_tokens", 256),
+            temperature=parameters.get("temperature", 0.7),
+            top_p=parameters.get("top_p", 0.9),
+            do_sample=parameters.get("do_sample", True),
+            return_full_text=False,
+        )
+
+        return outputs