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AI-Toolbox

Command


ait-download

Download hf model,dataset and will retry after a failure, default 10 times.

ait-download \
--repo_info_path=/your_repo_info.json \
--retry_count=2 \
--thread_nums=5

Args description

name description required default
--repo_info_path repo info file for download multi repos at once, demo below! True None
--retry_count retry count after a failure False 10
--thread_nums the number of threads concurrently executing the target False 5

Demo repo_info.json

{
    "model":[
        "OpenAssistant/falcon-40b-megacode2-oasst",
        "stabilityai/stable-diffusion-xl-base-1.0"
    ],
    "dataset":[
        "OpenAssistant/oasst1",
        "PygmalionAI/PIPPA"
    ]
}

ait-fork

fork hf model, dataset and will retry after a failure, default 10 times.

# fork with fork_repo_info.json
ait-fork \
--repo_info_path=/your_repo_info.json \
--retry_count=2 \
--hf_username=your_hf_username \
--hf_token=your_hf_token \
--separator=__ \
--thread_nums=5

# fork without fork_repo_info.json
ait-fork \
--retry_count=2 \
--hf_username=your_hf_username \
--hf_token=your_hf_token \
--separator=__ \
--source_repo=source_repo \
--target_repo=your_target_repo \
--repo_type=dataset|model \
--disable-multi-task

Args description

you must pass --repo_info_path or --source_repo at least one!

name description required default
--hf_username your hugging face username True None
--hf_token your hugging face token True None
--repo_info_path repo info file for fork multi repos at once, demo below! False None
--retry_count retry count after a failure False 10
--separator a string used to replace / when you did not pass target_repo without --repo_info_path False __
--source_repo the source repo you want to fork! eg: PygmalionAI/PIPPA, False 10
--target_repo the target repo you want to fork to! eg: your_hf_username/your_repo_name, if not pass, use your_hf_username/source_repo.replace_/_with_separator False None
--repo_type model or dataset False dataset
--disable-multi-task disable multi task for forking multi repos when you pass, only work with --repo_info_path False False
--thread_nums the number of threads concurrently executing the target False 5

Demo fork_repo_info.json

{
    "model":[
        {
            "source":"OpenAssistant/falcon-40b-megacode2-oasst",
            "target":"your_name/your_repo"
        }        
    ],
    "dataset":[
        {
            "source":"PygmalionAI/PIPPA",
            "target":"your_name/your_repo"
        }
    ]
}

Metadata

Release files for py_ait 0.0.43

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