Use slow tokenizer for LLaMA (#84)

cacheflow/frontend/fastapi_frontend.py

@@ -7,12 +7,12 @@ from typing import List, Dict, Optional
 from fastapi import FastAPI, Request
 from fastapi.responses import StreamingResponse
 import ray
-from transformers import AutoTokenizer
 import uvicorn
 
 from cacheflow.core.server import (Server, add_server_arguments,
                                    process_server_arguments,
                                    initialize_cluster)
+from cacheflow.frontend.utils import get_tokenizer
 from cacheflow.sampling_params import SamplingParams
 from cacheflow.sequence import Sequence, SequenceGroup
 from cacheflow.utils import Counter, get_gpu_memory, get_cpu_memory
@@ -44,7 +44,7 @@ class FastAPIServer:
     ):
         self.block_size = block_size
 
-        self.tokenizer = AutoTokenizer.from_pretrained(model)
+        self.tokenizer = get_tokenizer(model)
         self.seq_group_counter = Counter()
         self.seq_counter = Counter()
         if server_use_ray: