Update README.md

README.md

@@ -8,13 +8,13 @@ pip install transformers==4.56.0
 
 The following code snippet shows how to use the transformers library to load and apply the model.
 
-we use tencent/HY-MT1.5-1.8B for example
+we use tencent/Hy-MT2-1.8B for example
 
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 import os
 
-model_name_or_path = "tencent/HY-MT1.5-1.8B"
+model_name_or_path = "tencent/Hy-MT2-1.8B"
 
 tokenizer = AutoTokenizer.from_pretrained(model_name_or_path)
 model = AutoModelForCausalLM.from_pretrained(model_name_or_path, device_map="auto")  # You may want to use bfloat16 and/or move to GPU here
@@ -41,4 +41,20 @@ We recommend using the following set of parameters for inference. Note that our
   "repetition_penalty": 1.05,
   "temperature": 0.7
 }
+```
+
+### Use with vllm
+
+Start the vLLM server:
+
+```bash
+vllm serve tencent/Hy-MT2-1.8B --tensor-parallel-size 1
+```
+
+### Use with sglang
+
+Launch SGLang server:
+
+```bash
+python3 -m sglang.launch_server --model tencent/Hy-MT2-1.8B --tp 1
 ```