hugging_dialog

hugging_chinese_dialog.py

@@ -0,0 +1,31 @@
+# from dialogbot import GPTBot
+# model = GPTBot("~/trans_project/hugging_convert/gpt2-dialogbot-base-chinese")
+# r = model.answer("今天你的病好点了吗？")
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_id = "hugging_convert/Llama3-8B-Chinese-Chat"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id, torch_dtype="auto", device_map="auto"
+)
+
+messages = [
+    {"role": "user", "content": "7年前，妈妈年龄是儿子的6倍，儿子今年12岁，妈妈今年多少岁？"},
+]
+
+input_ids = tokenizer.apply_chat_template(
+    messages, add_generation_prompt=True, return_tensors="pt"
+).to(model.device)
+
+outputs = model.generate(
+    input_ids,
+    max_new_tokens=8192,
+    do_sample=True,
+    temperature=0.6,
+    top_p=0.9,
+)
+response = outputs[0][input_ids.shape[-1]:]
+print(tokenizer.decode(response, skip_special_tokens=True))
+
+# https://huggingface.co/shenzhi-wang/Llama3-8B-Chinese-Chat

hugging_taiwan_dialog.py

@@ -0,0 +1,27 @@
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_id = "Llama-3-Taiwan-8B-Instruct"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id, torch_dtype="auto", device_map="auto"
+)
+
+messages = [
+    {"role": "system", "content": "你是一位來自可愛國的公主, 請用公主的語氣回答以下問題："},
+    {"role": "user", "content": "請問你是誰？"},
+]
+
+input_ids = tokenizer.apply_chat_template(
+    messages, add_generation_prompt=True, return_tensors="pt"
+).to(model.device)
+
+outputs = model.generate(
+    input_ids,
+    max_new_tokens=8192,
+    do_sample=True,
+    temperature=0.6,
+    top_p=0.9,
+)
+response = outputs[0][input_ids.shape[-1]:]
+print(tokenizer.decode(response, skip_special_tokens=True))