Download BACKUP_RESTORE.md from AIGeeksGroup/HMCLIP: direct link, hf CLI and curl.
- Browser
- Download file 1.29 kB
-
https://huggingface.co/AIGeeksGroup/HMCLIP/resolve/main/BACKUP_RESTORE.md
- Command line
-
hf download hf://AIGeeksGroup/HMCLIP/BACKUP_RESTORE.md
-
curl -L -o BACKUP_RESTORE.md https://huggingface.co/AIGeeksGroup/HMCLIP/resolve/main/BACKUP_RESTORE.md
RadIR snapshot backup
This repository displays the source code and stores the large data, model, output,
cache, and log directories as a split tar.zst archive in Git LFS.
- Source commit:
5b926d2179afa417784ba57459e86d2336d50a52 - Archived paths:
dataset, outputs, hf_models, hf_cache, runs, wandb, __pycache__ - Each volume is at most 64 MiB and has a SHA-256 checksum in
backup-manifest.json. - This is a snapshot of committed files, not an export of all historical Git objects.
- Original source files and the original local Git history were not modified.
Restore
Wait until backup-manifest.json says complete: true. Download the repository
with its LFS objects (not just pointer files). Install zstd and tar, then run:
python3 restore_backup.py
The restore tool verifies every volume, then streams decompression directly into
tar. It does not create a second concatenated archive. Extracted contents keep
their original relative paths. Source code is already available as regular files.
The uploader uses hf-mirror.com for Git and LFS metadata. LFS payloads use the
storage URLs returned by that service, as in a normal Git LFS transfer. It keeps
at most 16 archive volumes in memory (1 GiB total), plus small Git metadata and progress files.