Update generated text

README.md

@@ -43,20 +43,22 @@ dtype: bfloat16
 ## 🤗 Usage for HuggingFace
 
 ```python
-!pip install -qU transformers accelerate
+from transformers import AutoTokenizer, AutoModelForCausalLM
+from transformers import pipeline
+import torch
 
-from transformers import AutoModelForCausalLM, AutoTokenizer
+model_name = "AkimfromParis/Neroli-Rak-Lig-slerp-7B"
 
-model_path = "AkimfromParis/Neroli-Rak-Lig-slerp-7B"
-tokenizer = AutoTokenizer.from_pretrained(model_path)
-model = AutoModelForCausalLM.from_pretrained(model_path, torch_dtype="auto", device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloat16)
+
+pipe = pipeline("text-generation", model=model, tokenizer=tokenizer, pad_token_id=tokenizer.eos_token_id)
 
 messages = [
-    {"role": "system", "content": "あなたはAIアシスタントです。"},
-    {"role": "user", "content": "大谷翔平選手について教えてください"}
-]
-gen_input = tokenizer.apply_chat_template(messages, return_tensors="pt")
-model.generate(**gen_input)
+    {"role": "system","content": "あなたは誠実で優秀な日本人のアシスタントです。以下のトピックに関する詳細な情報を提供してください。"},
+    {"role": "user", "content": "大谷翔平選手は誰ですか？"},
+    ]
+print(pipe(messages, max_new_tokens=512)[0]['generated_text'][-1])
 ```
 
 # 🔖 Citation