# Line 368ifcache_dirisNone:cache_dir=TRANSFORMERS_CACHEifisinstance(cache_dir,Path):cache_dir=str(cache_dir) 这个变量在hub.py开头被导入: # line 93# Determine default cache directory. Lots of legacy environment variables to ensure backward compatibility.# The best way to set the cache path is...
the `--local-dir-use-symlinks False` parameter, the files will instead be stored in the central Hugging Face cache directory (default location on Linux is: `~/.cache/huggingface`), and symlinks will be added to the specified `--local-dir`, pointing to their real location in the cache....
save_directory: Union[str, os.PathLike], is_main_process: bool = True, state_dict: Optional[dict] = None, save_function: Callable = torch.save, push_to_hub: bool = False, max_shard_size: Union[int, str] = "10GB", **kwargs, ): """ Save a model and its configuration file to...
使用dataset = datasets.load_dataset("beyond/rlhf-reward-single-round-trans_chinese")下载数据集会报错: FileNotFoundError: [Errno 2] No such file or directory: 'C:/Users/Chenxm/.cache/huggingface/datasets/beyond___rlhf-reward-single-round-trans_chinese/default-56c83c4a1ab39cac/0.0.0/e58c48...
After setting this variable, I expected that the HuggingFace Large Language Models (LLM) would download and install in the /data/model_cache directory instead of the default root directory. linux huggingface large-language-model Share Follow asked Dec 21, 2023 at 0:17 E ON ...
huggingface-cli 隶属于 huggingface_hub 库,不仅可以下载模型、数据,还可以可以登录huggingface、上传模型、数据等huggingface-cli 属于官方工具,其长期支持肯定是最好的。优先推荐!安装依赖 1 pip install -U huggingface_hub 注意:huggingface_hub 依赖于 Python>=3.8,此外需要安装 0.17.0 及以上的版本,推荐0.19.0+...
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I am trying to load_dataset of huggingfaces from local directory. I tried: os.system('mkdir mydataset') os.system('mkdir mydataset/train') os.system('mkdir mydataset/train/dog/') os.system('mkdir ... pytorch dataset huggingface-transformers huggingface-datasets Naomi Fridman 2,134 asked ...
// GetGitPath returns the path (ex: "/models/user/repo.git") for the repo's git directory func (d Discussion) GetGitPath() string { basePath := fmt.Sprintf("%s.git", d.GetRepo()) if d.Repo.ResourceType == "model" { return basePath } return fmt.Sprintf("%s/%s", getResource...
with checkpoint.as_directory() as dir: self.model = AutoModelForCausalLM.from_pretrained( dir, torch_dtype=torch.float16, low_cpu_mem_usage=True, device_map="auto") self.tokenizer = AutoTokenizer.from_pretrained(dir) 现在让我们试试再调用一次服务: ...