Update README.md

README.md

@@ -32,6 +32,9 @@ library_name: PaddlePaddle
 
 # ERNIE-4.5-300B-A47B
 
+> [!NOTE]
+> Note: "**-Paddle**" models use [PaddlePaddle](https://github.com/PaddlePaddle/Paddle) weights, while "**-PT**" models use Transformer-style PyTorch weights.
+
 ## ERNIE 4.5 Highlights
 
 The advanced capabilities of the ERNIE 4.5 models, particularly the MoE-based A47B and A3B series, are underpinned by several key technical innovations:
@@ -145,57 +148,6 @@ for output in outputs:
     print("generated_text", generated_text)
 ```
 
-### Using `transformers` library
-
-The following contains a code snippet illustrating how to use the model generate content based on given inputs.
-
-```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-model_name = "baidu/ERNIE-4.5-300B-A47B-PT"
-
-# load the tokenizer and the model
-tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
-model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True)
-
-# prepare the model input
-prompt = "Give me a short introduction to large language model."
-messages = [
-    {"role": "user", "content": prompt}
-]
-text = tokenizer.apply_chat_template(
-    messages,
-    tokenize=False,
-    add_generation_prompt=True
-)
-model_inputs = tokenizer([text], add_special_tokens=False, return_tensors="pt").to(model.device)
-
-# conduct text completion
-generated_ids = model.generate(
-    model_inputs.input_ids,
-    max_new_tokens=1024
-)
-output_ids = generated_ids[0][len(model_inputs.input_ids[0]):].tolist()
-
-# decode the generated ids
-generate_text = tokenizer.decode(output_ids, skip_special_tokens=True).strip("\n")
-print("generate_text:", generate_text)
-```
-
-### Using vLLM
-
-vLLM is currently being adapted, priority can be given to using our forked repository [vllm](https://github.com/CSWYF3634076/vllm/tree/ernie). We are working with the community to fully support ERNIE4.5 models, stay tuned.
-
-```bash
-# 80G * 16 GPU
-vllm serve baidu/ERNIE-4.5-300B-A47B-PT --trust-remote-code
-```
-
-```bash
-# FP8 online quantification 80G * 8 GPU
-vllm serve baidu/ERNIE-4.5-300B-A47B-PT --trust-remote-code --quantization fp8
-```
-
 ## Best Practices
 
 ### **Sampling Parameters**