feat: Improve the offline_inference npu v0/v1 scripts (#1669)

### What this PR does / why we need it?

Improve
- Keep the same file name format as v1, `offline_inference_npu_v0.py`,
`offline_inference_npu_v1.py`
- Use `VLLM_USE_V1` = 0/1 clearly in py scripts
- Fix some run errors in `offline_inference_npu_v1.py`, e.g.
`deepseekv3-lite-base-latest` not exists in modescope or hf.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

- vLLM version: v0.9.2
- vLLM main:
baed180aa0

Signed-off-by: xleoken <xleoken@163.com>

examples/offline_inference_npu_v0.py

@@ -17,6 +17,11 @@
 # Adapted from vllm-project/vllm/examples/offline_inference/basic.py
 #
 
+import os
+
+os.environ["VLLM_USE_V1"] = "0"
+os.environ["VLLM_USE_MODELSCOPE"] = "True"
+
 from vllm import LLM, SamplingParams
 
 prompts = [

examples/offline_inference_npu_v1.py

@@ -19,10 +19,11 @@
 
 import os
 
+os.environ["VLLM_USE_MODELSCOPE"] = "True"
+os.environ["VLLM_WORKER_MULTIPROC_METHOD"] = "spawn"
+
 from vllm import LLM, SamplingParams
 
-os.environ["VLLM_USE_V1"] = "1"
-os.environ["VLLM_WORKER_MULTIPROC_METHOD"] = "spawn"
 
 if __name__ == "__main__":
     prompts = [
@@ -35,7 +36,7 @@ if __name__ == "__main__":
     # Create a sampling params object.
     sampling_params = SamplingParams(max_tokens=100, temperature=0.0)
     # Create an LLM.
-    llm = LLM(model="/data/weights/deepseek-ai/deepseekv3-lite-base-latest",
+    llm = LLM(model="deepseek-ai/DeepSeek-V2-Lite",
               tensor_parallel_size=2,
               enforce_eager=True,
               trust_remote_code=True,