data_files={"train":"SQuAD_it-train.json","test":"SQuAD_it-test.json"}squad_it_dataset=load_dataset("json",data_files=data_files,field="data")squad_it_datasetDatasetDict({train:Dataset({features:['title','paragraphs'],num_rows:442})test:Dataset({features:['title','paragraphs'],num_...
使用huggingface_hub 的 snapshot_download 函数下载 from huggingface_hub import snapshot_download snapshot_download(repo_id="tatsu-lab/alpaca_eval", repo_type='dataset') 也可以使用 huggingface_hub 提供的命令行工具 huggingface-cli download --repo-type dataset tatsu-lab/alpaca_eval发布...
huggingface-cli download--resume-download--repo-typedataset lavita/medical-qa-shared-task-v1-toy 值得注意的是,有个--local-dir-use-symlinks False参数可选,因为huggingface的工具链默认会使用符号链接来存储下载的文件,导致--local-dir指定的目录中都是一些“链接文件”,真实模型则存储在~/.cache/huggingface...
tokenizer = tokenizer,# other arguments if you have changed the defaults) reloaded_trainer.predict(test_dataset)
目前，我遇到过两个与HuggingFace cache相关的问题。一个是关于datasets库的问题。在使用load_dataset函数...
fromhuggingface_hubimportsnapshot_downloadfolder = snapshot_download("HuggingFaceFW/fineweb",repo_type="dataset",local_dir="./fineweb/",allow_patterns="data/CC-MAIN-2023-50/*") 为了加快下载速度,需要确保安装 pip install hu...
给定的函数需要一个repo_id和文件名来运行，所以试试这个：
While loading a huggingface dataset, I want to download only a subset of the full dataset. from datasets import load_dataset dataset = load_dataset("openslr/librispeech_asr", split="train.clean.100[:10]", trust_remote_code=True) Here i only want to download the first 10 rows but the ...
from huggingface_hub import snapshot_downloadfolder = snapshot_download('HuggingFaceFW/fineweb',repo_type='dataset',local_dir='./fineweb/',allow_patterns='data/CC-MAIN-2023-50/*') 为了加快下载速度,需要确保安装 pip install huggingface_hub[hf_transfer] 并设置环境变量 HF_HUB_ENABLE_HF_TRANSFER...
Downloads a model or dataset from Hugging Face using the provided model ID. Parameters: model_id The Hugging Face model ID in the format 'repo/model_name'. --exclude (Optional) Flag to specify a string pattern to exclude files from downloading. ...