defmain():"""使用插件时回复文字"""DEVICE='cuda'iftorch.cuda.is_available()else'cpu'tokenizer=AutoTokenizer.from_pretrained('/home/chatglm3-6b',trust_remote_code=True)model=AutoModel.from_pretrained('/home/chatglm3-6b',trust_remote_code=True).to(DEVICE).eval()# 汇总所有的插件信息 tools=...
tokenizer=AutoTokenizer.from_pretrained("THUDM/chatglm2-6b",trust_remote_code=True)model=AutoModel.from_pretrained("THUDM/chatglm2-6b",trust_remote_code=True,device='cuda')model=model.eval()response,history=model.chat(tokenizer,"你好",history=[])print(response) 1. 2. 3. 4. 5. 6. 2.2...
File "C:\Git-source\Firefly\train.py", line 188, in load_tokenizer config = AutoConfig.from_pretrained(args.model_name_or_path, trust_remote_code=True) ^^^ File "C:\py\py311\Lib\site-packages\transformers\models\auto\configuration_auto.py", line 1050, in from_pretrained config_class =...
Prompt:### Instruction:Use the Task below and the Input given to write the Response, which is a programming code that can solve the Task.### Task:Optimize a code snippet written in Python. The code snippet should create a list of numbers from 0 to 10 that are divisible by 2.### In...
python3 -m sglang.launch_server --model-path deepseek-ai/DeepSeek-V3 --port 30000 --tp 8 --trust-remote-code (3)、服务器启动后,打开新的终端,发送请求。 curl http://localhost:30000/generate \ -H "Content-Type: application/json" \ ...
tokenizer= AutoTokenizer.from_pretrained(base_model, trust_remote_code=True 将提示通过分词器传递给模型进行响应生成。 text= tokenizer.decode(outputs[0], skip_special_tokens=True) print(text) 解释了“自我”的含义。 最受欢迎的见解 1.在python中使用lstm和pytorch进行时间序列预测 ...
(MODEL_PATH, trust_remote_code=True) File "/output/llm/llm_course/open-mmlab/lib/python3.9/site-packages/transformers/models/auto/tokenization_auto.py", line 718, in from_pretrained tokenizer_config = get_tokenizer_config(pretrained_model_name_or_path, **kwargs) File "/output/llm/llm_...
tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True) tokenizer.pad_token = tokenizer.eos_token tokenizer.padding_side = "right" 下面是参数定义, # Activate 4-bit precision base model loading use_4bit = True # Compute dtype for 4-bit base models ...
CodeInText:表示文本中的代码词、数据库表名、文件夹名、文件名、文件扩展名、路径名、虚拟 URL、用户输入和 Twitter 句柄。例如:"将下载的WebStorm-10*.dmg磁盘映像文件挂载为系统中的另一个磁盘。" 代码块设置如下: @staticmethoddefon_subscribe(client, userdata, mid, granted_qos):print("I've subscribed ...
# Load model and tokenizer model = AutoModelForCausalLM.from_pretrained(model_id, quantization_config=bnb_config, use_cache = False, device_map=device_map) model.config.pretraining_tp = 1 # Load the tokenizer tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True) tokenize...