Update README.md

README.md

@@ -53,6 +53,37 @@ XML likeなinstructionテンプレートを採用しました
 
 ```
 
+```
+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)
+
+# 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
 
 TAG work in English-to-Japanese