| --- |
| license: apache-2.0 |
| tags: |
| - mirror |
| - xai |
| - image-classification |
| - vit |
| - vision-transformer |
| - imagenet |
| --- |
| |
| # ViT-B/16 ImageNet (Google) — xaitalk mirror |
|
|
| This is a **bit-identical mirror** of the canonical artifact from Google Research. |
|
|
| The mirror exists only as a resilience fallback for the |
| [xaitalk](https://github.com/xaitalk/xaitalk) library — the upstream remains |
| authoritative. All credit and licensing for the model belong to the original |
| authors. |
|
|
| ## Attribution |
|
|
| | Field | Value | |
| |---|---| |
| | **Original authors** | Google Research | |
| | **Upstream (authoritative)** | https://huggingface.co/google/vit-base-patch16-224 | |
| | **Source repo** | https://github.com/google-research/vision_transformer | |
| | **Paper** | https://arxiv.org/abs/2010.11929 (Dosovitskiy et al. 2020) | |
| | **License** | `apache-2.0` (inherited from upstream — please respect upstream's terms) | |
| | **Mirror file** | `pytorch_model.bin` | |
| | **SHA-256** | `5f17067668129d23b52524f90a805e7d9914c276d90a59a13ebe81a09e40ceca` | |
| | **Size** | 346,351,599 bytes (330.3 MB) | |
|
|
| ## How xaitalk loads this file |
|
|
| ```python |
| from xaitalk.hub import ensure_model |
| weights_path = ensure_model("vit-base-patch16-224") |
| # Tries the canonical upstream first; falls back to this xaitalk mirror |
| # automatically if upstream is unreachable. |
| ``` |
|
|
| ## Why mirror? |
|
|
| xaitalk's research-grade reproducibility claim relies on every weight file |
| being recoverable years from now. We mirror artifacts ≤ 2.5 GB under |
| `xaitalk/*-mirror` so the pipeline survives upstream URL changes, repo |
| renames, or deletions. Bit-level parity with the canonical is asserted in |
| CI via `python -m xaitalk.hub verify-mirrors`. |
|
|
| ## Citation |
|
|
| If you use this model, **please cite the original paper** (not the mirror): |
|
|
| ``` |
| https://arxiv.org/abs/2010.11929 (Dosovitskiy et al. 2020) |
| ``` |
|
|
