from_pretrained('bert-base-uncased') model = BertModel.from_pretrained('bert-base-uncased') 然而,如果你确实想使用命令行工具来管理Hugging Face的资源,并且遇到了关于download命令的错误,那么可能是因为以下原因之一: 命令格式错误:确保你没有误用或误解了huggingface-cli的命令格式。如前所述,huggingface-cli并...
os.environ['HUGGINGFACE_HUB_CACHE'] = os.path.abspath(os.getcwd()) os.environ['TRANSFORMERS_CACHE'] = os.path.abspath(os.getcwd()) pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16) pipe = pipe.to("cuda") prompt = "a photo of...
System Info I want to download the GPT4all-J model. according to this weblink : https://huggingface.co/nomic-ai/gpt4all-j download code: from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("nomic-ai...
错误消息 huggingface-cli: error: invalid choice: 'download' 明确指出了 download 是一个无效的选择,并列出了所有有效的选项。寻找替代命令或方法来完成下载操作: 如果你需要下载 Hugging Face 模型,应该使用 transformers 库中的 from_pretrained 方法,而不是 huggingface-cli。例如: python from transformers impor...
You can try the unofficial demo on this page or useClipdrop. Alternatively, you can download the model on your local computer and run it yourself. How to download SDXL Turbo You can download SDXL Turbo onHuggingFace, a platform for sharing machine learning models. SDXL Turbo is released und...
neox_model_name_to_use: saved_models_dir\EleutherAI_gpt-neox-20b doing model from_pretrained [e] Downloading: 0%| | 0.00/1.54k [00:00<?, ?B/s] [e] Downloading: 100%|###| 1.54k/1.54k [00:00<00:00, 1.54MB/s] [e] huggingface_hub\file_download.py:123: UserWarning: ...
Used PyTorchModelHubMixin for our model, enabling from_pretrained and push_to_hub. Ensured download stats are working. Created a Gradio demo: https://huggingface.co/spaces/opendatalab/DocLayout-YOLO Linked our datasets to the models and paper: https://huggingface.co/papers/2410.12628 Your assist...
(message)s",level=logging.INFO,datefmt="%Y-%m-%d %H:%M:%S")quantized_model="TheBloke/Wizard-Vicuna-7B-Uncensored-GPTQ"tokenizer=AutoTokenizer.from_pretrained(quantized_model,use_fast=True)model=AutoGPTQForCausalLM.from_quantized(quantized_model,device="cuda:0",use_triton=False,model_basename=...
When I run this code model = BertModel.from_pretrained('bert-base-uncased') , it would download a big file and sometimes that's very slow. Now I have download the model from https://github.com/google-research/bert. So, It's possible to a...
ERROR:pytorch_transformers.modeling_utils:Couldn't reach server at 'https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased-config.json' to download pretrained model configuration file. ERROR:pytorch_transformers.modeling_u...