Update README.md

README.md

@@ -53,40 +53,7 @@ XML likeなinstructionテンプレートを採用しました
 
 ```
 
-Example
-```
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-# Initialize the model and tokenizer
-device = "cuda"  # the device to load the model onto
-model_name = "aixsatoshi/Honyaku-Multi-Translator-Swallow-ms7b"
-model = AutoModelForCausalLM.from_pretrained(model_name).to(device)
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-
-# Move model to the appropriate device and set to bf16 precision
-model.to(device).to(dtype=torch.bfloat16)
-
-# Define the English prompt
-english_prompt = "What is your favourite condiment?"
-
-# Prepare the prompt for English to Japanese translation
-english_to_japanese_prompt = f"""
-<english>: {english_prompt} </english>
 
-<japanese>:
-"""
-
-# Encode the prompt
-encoded_prompt = tokenizer(english_to_japanese_prompt, return_tensors="pt", padding=True).to(device)
-
-# Generate a response
-generated_ids = model.generate(**encoded_prompt, max_length=4096, do_sample=True)
-
-# Decode and print the response
-decoded_translation = tokenizer.decode(generated_ids[0], skip_special_tokens=True)
-print("English to Japanese Translation:")
-print(decoded_translation)
-```
 
 ###　Multi Language