import torch from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("internlm/internlm2-chat-7b", trust_remote_code=True, cache_dir='/home/{username}/huggingface') # Set `torch_dtype=torch.float16` to load model in float16, otherwise it will be...
AAA/BBB是HugglingFace官网复制的模型的名字,比如说hfl/rbt3或者distilbert/distilbert-base-uncased-finetuned-sst-2-english之类的。 也可以使用--local-dir指定下载路径。 然后调用模型就是按照官网教的方式: # 使用Auto方法 from transformers import AutoModel, AutoTokenizer model = AutoModel.from_pretrained(...
ChatGLM-6B 是一个开源的、支持中英双语的对话语言模型，基于 General Language Model (GLM) 架构，具有 62 亿参数。结合模型量化技术，用户可以在消费级的显卡上进行本地部署（INT4 量化级别下最低只需 6GB 显存）。将
repo_type = "dataset", # 'model', 'dataset', 'external_dataset', 'external_metric', 'external_tool', 'external_library' repo_id="Hello-SimpleAI/HC3-Chinese",#huggingface网站上项目目录 local_dir="./HC3-Chinese",#缓存文件默认保存在系统盘\.cache\huggingface\hub\Hello-SimpleAI/HC3-Chinese 中...
I would want the model to load and the API to start listening on the designated port. Could you check all your paths from within the docker itself ? Most likely a misconfig here since I'm regularly using this mounted local option too without issue. ...
feat: support for load weights from local dir 9931ffe Contributor Author CrazyBoyM commented Apr 24, 2023 test well on my env. here is my test code: from PIL import Image import requests from io import BytesIO from controlnet_aux import HEDdetector, MidasDetector, MLSDdetector, OpenposeDe...
to load model from.--featureFEATUREThe typeoffeatures toexportthe modelwith.--opsetOPSETONNXopset version toexportthe modelwith.--atolATOLAbsolute difference tolerance when validating the model.--framework{pt,tf}The framework to usefortheONNXexport.If not provided,will attempt to use the local ...
tokenizer_module = load_tokenizer(model_args) File "/opt/conda/lib/python3.10/site-packages/llamafactory/model/loader.py", line 69, in load_tokenizer tokenizer = AutoTokenizer.from_pretrained( File "/opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py", line 834...
File "/usr/local/lib/python3.9/dist-packages/transformers/models/auto/configuration_auto.py", line 896, in from_pretrained config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) File "/usr/local/lib/python3.9/dist-packages/transformers/configuratio...
model.adapter=MotionAdapter().to(device,dtype)adapter.load_state_dict(load_file(hf_hub_download(repo,ckpt),device=device))pipe=AnimateDiffPipeline.from_pretrained(base,motion_adapter=adapter,torch_dtype=dtype).to(device)pipe.scheduler=EulerDiscreteScheduler.from_config(pipe.scheduler.config,timestep_...