Instructions to use HuggingSelf/test0519 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Bagel
How to use HuggingSelf/test0519 with Bagel:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
UniCross semantic grounding artifacts
Uploaded from the L40 machine on 2026-06-29 for cross-machine UniCross/BAGEL search.
Contents:
semantic_grounded_v2.tar.zst: full/sciclone/home/hbai/data10/unicross/artifacts/data_audit/semantic_grounded_v2/, including the requiredroute_manifests/bidirectional_targeted_train.local_semantic.jsonland crop artifacts.semantic_grounded_v2_full_highconf_5k.tar.zst: full/sciclone/home/hbai/data10/unicross/artifacts/data_audit/semantic_grounded_v2_full_highconf_5k/, including:route_manifests/bidirectional_full_train.highconf.local_semantic.jsonlroute_manifests/bidirectional_full_train.highconf_extra1k.local_semantic.jsonl
bagel_route_images_empty_placeholder.tar.zst: placeholder only./sciclone/home/hbai/data10/unicross/cache/bagel_route_images/was empty on the L40 machine at upload time.SHA256SUMS.txt: checksums for the three tarballs.
Suggested restore root:
cd /sciclone/home/hbai/data10/unicross/artifacts/data_audit
tar --zstd -xf semantic_grounded_v2.tar.zst
tar --zstd -xf semantic_grounded_v2_full_highconf_5k.tar.zst
The BAGEL route image cache can be rebuilt on cache miss if the manifest image references and original image source/tar are available.