如何在huggingface上使用chatgptc4
时间: 2023-12-15 19:06:01 浏览: 19
要在Hugging Face上使用ChatGPTC4,您需要先安装Hugging Face的Transformers库。您可以使用以下命令来安装Transformers:
```
pip install transformers
```
完成安装后,您可以使用以下代码来加载ChatGPTC4模型并与其进行对话:
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "EleutherAI/gpt-neo-2.7B"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
# Start a conversation
chat_history = []
while True:
# Get user input
user_input = input("User: ")
# If user says goodbye, exit
if user_input.lower() == "goodbye":
print("ChatGPTC4: Goodbye!")
break
# Add user input to chat history
chat_history.append(tokenizer.encode(user_input + tokenizer.eos_token))
# Generate bot response
bot_input_ids = tokenizer.encode("ChatGPTC4: ", return_tensors="pt")
chat_history_tensor = torch.tensor(chat_history, dtype=torch.long)
input_ids = torch.cat([bot_input_ids, chat_history_tensor], dim=-1)
output = model.generate(input_ids=input_ids, max_length=1024, pad_token_id=tokenizer.eos_token_id)
bot_response = tokenizer.decode(output[0], skip_special_tokens=True)
# Print bot response
print(bot_response)
```
该代码将加载ChatGPTC4模型并启动一个简单的对话。每次用户输入一条消息时,将把该消息添加到对话历史记录中,并生成一个回复。如果用户说“goodbye”,则对话将结束。请注意,ChatGPTC4模型非常大,因此在生成回复时可能需要一些时间。