3. 下载需要登录的模型(Gated Model) 请添加--token hf_***参数,其中hf_***是access token,请在Hugging Face官网这里获取。示例: huggingface-cli download --token hf_*** --resume-download --local-dir-use-symlinks False meta-llama/Llama-2-7b-hf --local-dir Llama-2-7b-hf hf_transfer加速 hf...
有三种方式下载模型,一种是通过 huggingface model hub 的按钮下载,一种是使用 huggingface 的 transformers 库实例化模型进而将模型下载到缓存目录,另一种是通过 huggingface 的 huggingface_hub 工具进行下载。 huggingface 按钮下载 点击下图的下载按钮,把所有文件下载到一个目录即可。 transformers 实例化模型 import to...
然而如果你用的huggingface-cli download gpt2 --local-dir /data/gpt2下载,即使你把模型存储到了自己指定的目录,但是你仍然可以简单的用模型的名字来引用他。即: AutoModelForCausalLM.from_pretrained("gpt2") 原理是因为huggingface工具链会在.cache/huggingface/下维护一份模型的符号链接,无论你是否指定了模型的...
然后local执行有bug (.py3) play@mini ~ % lep photon run --name mygpt2 --local Launching photon on port: 8080 2024-03-25 16:47:02.089 | INFO | leptonai.photon.hf.hf:pipeline:213 - Creating pipeline for text-generation(model=gpt2, revision=607a30d7). HuggingFace download might take a...
hfd<repo_id> [--include include_pattern] [--exclude exclude_pattern] [--hf_username username] [--hf_token token] [--tool aria2c|wget] [-x threads] [--dataset] [--local-dirpath] Description: Downloads a model or dataset from Hugging Face using the provided repo ID. ...
repo_type="model", local_dir="./", allow_patterns=['sd_xl_base_1.0.safetensors','d_xl_base_1.0_0.9vae.safetensors','sd_xl_offset_example-lora_1.0.safetensors'], local_dir_use_symlinks=False, resume_download=True,# proxies={"https": "http://localhost:7890"}, # clash default ...
download --resume-download --local-dir-use-symlinks False facebook/musicgen-small --local-dir ...
1. Run: Saving to Local Disk ✅ pipe = pipeline( task="object-detection", model="microsoft/table-transformer-structure-recognition", ) pipe.save_pretrained("./local_model_directory") The following files are saved to./local_model_directory: ...
登陆huggingface账户 通过snapshot_download下载模型 如果需要登陆token: modelscope模型下载 hf格式转gguf gguf量化 典型...
snapshot_download(repo_id=model_id, local_dir="Qwen2.5-3B", local_dir_use_symlinks=False, revision="main") 1. 2. 3. 4. 复制 步骤2:转换为llama.cpp格式 2.1 准备环境 git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp ...