原始的代码: MODEL_PATH=os.environ.get('MODEL_PATH','THUDM/chatglm3-6b')TOKENIZER_PATH=os.environ.get("TOKENIZER_PATH",MODEL_PATH)DEVICE='cuda'iftorch.cuda.is_available()else'cpu'tokenizer=AutoTokenizer.from_pretrained(TOKENIZER_PATH,trust_remote_code=True)if'cuda'inDEVICE:# AMD, NVIDIA...
查看:E:\LLM\NVIDIA_ChatWithRTX\RAG\trt-llm-rag-windows-main\model\chatglm\chatglm-hf\tokenizer_config.json 和 config.json "name_or_path": "THUDM/chatglm3-6b-32k",将其改为 "name_or_path": "D:\\models\\THUDM\\chatglm3_6b_32k". 重新启动并切换到chatglm3: This share link expires...
PaddingStrategyfromtransformers.tokenization_utils_baseimportEncodedInput, BatchEncoding# 底层的分词器,也就是 SP 模型的包装classSPTokenizer:def__init__(self, model_path:str):# reload tokenizerassertos.path.isfile(model_path),
max_shard_size='2GB')tokenizer.save_pretrained(save_path)
tqdm device = "cuda" model_name_or_path = "bigscience/bloomz-560m" tokenizer_name_or_path ...
也就是 SP 模型的包装 class SPTokenizer: def __init__(self, model_path: str): # reload tokenizer assert os.path.isfile(model_path), model_path # 加载 SP 模型作为底层模型 self.sp_model = SentencePieceProcessor(model_file=model_path) # 设置单词数量,BOS EOS PAD ID 属性 # PAD 由底层...
MODEL_PATH="/path/to/local/chatglm3-6b" streamlit run main.py 或者直接把 MODEL_PATH 这个变量在 Python 文件中改成对应路径也可以。 谢谢,我设置成 MODEL_PATH = "E:\GitHub\ChatGLM3\Model\chatglm3-6b-32k" PT_PATH = None TOKENIZER_PATH = MODEL_PATH 就可以了 HMyaoyuan commented Nov 11, ...
tokenization_utils_base import EncodedInput, BatchEncoding # 底层的分词器,也就是 SP 模型的包装 class SPTokenizer: def __init__(self, model_path: str): # reload tokenizer assert os.path.isfile(model_path), model_path # 加载 SP 模型作为底层模型 self.sp_model = SentencePieceProcessor(model_...
python inference.py \--tokenizer/ChatGLM3/chatglm3-6b-32k \--model"/ChatGLM3/finetune_chatmodel_demo/output/tool_alpaca_pt-20240103-075859-128-2e-2" (10)在Web UI中部署 首先我们需要 kill 掉系统开启自启的 ChatGLM3-6B 服务,Jupyterlab 里新建一个 Terminal,然后输入下面指令查看 ChatGLM3 综...
def get_model(local_model_path): from paddlenlp.transformers import ( ChatGLMConfig, ChatGLMForConditionalGeneration, ChatGLMTokenizer, ) #读取原始的chatglm-6b模型 model_name_or_path = local_model_path tokenizer = ChatGLMTokenizer.from_pretrained(model_name_or_path) config = ChatGLMConfig.from...