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# coding=utf-8
# Copyright 202-present, the HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Contains command to download files from the Hub with the CLI.
Usage:
hf download --help
# Download file
hf download gpt2 config.json
# Download entire repo
hf download fffiloni/zeroscope --repo-type=space --revision=refs/pr/78
# Download repo with filters
hf download gpt2 --include="*.safetensors"
# Download with token
hf download Wauplin/private-model --token=hf_***
# Download quietly (no progress bar, no warnings, only the returned path)
hf download gpt2 config.json --quiet
# Download to local dir
hf download gpt2 --local-dir=./models/gpt2
"""
import warnings
from typing import Annotated, Optional, Union
import typer
from huggingface_hub import logging
from huggingface_hub._snapshot_download import snapshot_download
from huggingface_hub.file_download import DryRunFileInfo, hf_hub_download
from huggingface_hub.utils import _format_size, disable_progress_bars, enable_progress_bars, tabulate
from ._cli_utils import RepoIdArg, RepoTypeOpt, RevisionOpt, TokenOpt
logger = logging.get_logger(__name__)
def download(
repo_id: RepoIdArg,
filenames: Annotated[
Optional[list[str]],
typer.Argument(
help="Files to download (e.g. `config.json`, `data/metadata.jsonl`).",
),
] = None,
repo_type: RepoTypeOpt = RepoTypeOpt.model,
revision: RevisionOpt = None,
include: Annotated[
Optional[list[str]],
typer.Option(
help="Glob patterns to include from files to download. eg: *.json",
),
] = None,
exclude: Annotated[
Optional[list[str]],
typer.Option(
help="Glob patterns to exclude from files to download.",
),
] = None,
cache_dir: Annotated[
Optional[str],
typer.Option(
help="Directory where to save files.",
),
] = None,
local_dir: Annotated[
Optional[str],
typer.Option(
help="If set, the downloaded file will be placed under this directory. Check out https://huggingface.co/docs/huggingface_hub/guides/download#download-files-to-a-local-folder for more details.",
),
] = None,
force_download: Annotated[
bool,
typer.Option(
help="If True, the files will be downloaded even if they are already cached.",
),
] = False,
dry_run: Annotated[
bool,
typer.Option(
help="If True, perform a dry run without actually downloading the file.",
),
] = False,
token: TokenOpt = None,
quiet: Annotated[
bool,
typer.Option(
help="If True, progress bars are disabled and only the path to the download files is printed.",
),
] = False,
max_workers: Annotated[
int,
typer.Option(
help="Maximum number of workers to use for downloading files. Default is 8.",
),
] = 8,
) -> None:
"""Download files from the Hub."""
def run_download() -> Union[str, DryRunFileInfo, list[DryRunFileInfo]]:
filenames_list = filenames if filenames is not None else []
# Warn user if patterns are ignored
if len(filenames_list) > 0:
if include is not None and len(include) > 0:
warnings.warn("Ignoring `--include` since filenames have being explicitly set.")
if exclude is not None and len(exclude) > 0:
warnings.warn("Ignoring `--exclude` since filenames have being explicitly set.")
# Single file to download: use `hf_hub_download`
if len(filenames_list) == 1:
return hf_hub_download(
repo_id=repo_id,
repo_type=repo_type.value,
revision=revision,
filename=filenames_list[0],
cache_dir=cache_dir,
force_download=force_download,
token=token,
local_dir=local_dir,
library_name="huggingface-cli",
dry_run=dry_run,
)
# Otherwise: use `snapshot_download` to ensure all files comes from same revision
if len(filenames_list) == 0:
allow_patterns = include
ignore_patterns = exclude
else:
allow_patterns = filenames_list
ignore_patterns = None
return snapshot_download(
repo_id=repo_id,
repo_type=repo_type.value,
revision=revision,
allow_patterns=allow_patterns,
ignore_patterns=ignore_patterns,
force_download=force_download,
cache_dir=cache_dir,
token=token,
local_dir=local_dir,
library_name="huggingface-cli",
max_workers=max_workers,
dry_run=dry_run,
)
def _print_result(result: Union[str, DryRunFileInfo, list[DryRunFileInfo]]) -> None:
if isinstance(result, str):
print(result)
return
# Print dry run info
if isinstance(result, DryRunFileInfo):
result = [result]
print(
f"[dry-run] Will download {len([r for r in result if r.will_download])} files (out of {len(result)}) totalling {_format_size(sum(r.file_size for r in result if r.will_download))}."
)
columns = ["File", "Bytes to download"]
items: list[list[Union[str, int]]] = []
for info in sorted(result, key=lambda x: x.filename):
items.append([info.filename, _format_size(info.file_size) if info.will_download else "-"])
print(tabulate(items, headers=columns))
if quiet:
disable_progress_bars()
with warnings.catch_warnings():
warnings.simplefilter("ignore")
_print_result(run_download())
enable_progress_bars()
else:
_print_result(run_download())
logging.set_verbosity_warning()