Mirror Models
Collection
This xaitalk collection contains all mirror models for demo purposes of xaitalk. • 10 items • Updated
DistilBERT SST-2 (HuggingFace) — xaitalk mirror
This is a bit-identical mirror of the canonical artifact from HuggingFace.
The mirror exists only as a resilience fallback for the xaitalk library — the upstream remains authoritative. All credit and licensing for the model belong to the original authors.
Attribution
| Field | Value |
|---|---|
| Original authors | HuggingFace |
| Upstream (authoritative) | https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english |
| Source repo | https://github.com/huggingface/transformers |
| Paper | https://arxiv.org/abs/1910.01108 (Sanh et al. 2019) |
| License | apache-2.0 (inherited from upstream — please respect upstream's terms) |
| Mirror file | pytorch_model.bin |
| SHA-256 | 60554cbd7781b09d87f1ececbea8c064b94e49a7f03fd88e8775bfe6cc3d9f88 |
| Size | 267,844,284 bytes (255.4 MB) |
How xaitalk loads this file
from xaitalk.hub import ensure_model
weights_path = ensure_model("distilbert-sst2")
# 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/1910.01108 (Sanh et al. 2019)