gliformer-large-ner__gliformer_large_ner_s256_head_wfp16token-classification · family: gliformer-large-ner
| Source | https://huggingface.co/litert-community/GLiFormer-Large-NER-LiteRT |
|---|---|
| License | apache-2.0 |
| Model file | gliformer_large_ner_s256_head_wfp16.tflite — downloaded from the source at runtime; this site hosts no weights |
Preparing…
Every number is labeled with the environment that produced it — headless desktop Chromium is not a user’s phone, and results are only meaningful together with their environment.
| Backend | Status | Full delegation | Output match | Latency p50 (ms) | Environment | Verified | Provenance |
|---|---|---|---|---|---|---|---|
wasm_xnnpack | pass | — | — | 2425.31 | mac-studio-m4-max · chromium 151.0.7922.34 headless · macOS · @litertjs/core 2.5.3 | 2026-09-26 | measured |
webgpu_mldrift | load_failed | — | — | — | mac-studio-m4-max · chromium 151.0.7922.34 headless · macOS · @litertjs/core 2.5.3 | 2026-09-26 | measured |
Full record (failure class, evidence, sweep config): raw sweep JSON · card.json · CARD.md
One-line prompt for your AI coding assistant (uses the litert-cookbook web skill):
Use the litert-cookbook web skill to build a LiteRT.js browser demo for gliformer-large-ner__gliformer_large_ner_s256_head_wfp16: load the model from https://huggingface.co/litert-community/GLiFormer-Large-NER-LiteRT/resolve/main/gliformer_large_ner_s256_head_wfp16.tflite (license: apache-2.0) and run it with @litertjs/core.
One-line prompt for Claude Code / Gemini CLI — re-runs the same sweep verification for this model, locally:
In the edge-compat repo, verify gliformer-large-ner__gliformer_large_ner_s256_head_wfp16 with the sweep harness: write /tmp/catalog.csv with the header line model_id,source,input_spec,license,notes and the single row gliformer-large-ner__gliformer_large_ner_s256_head_wfp16,https://huggingface.co/litert-community/GLiFormer-Large-NER-LiteRT/resolve/main/gliformer_large_ner_s256_head_wfp16.tflite,1x1x256x1024:float32;1x256x256:float32;1x1x256:float32;1x5x256:float32;1x256:float32,apache-2.0, — then run: cd web/sweep && npm ci && npm run sweep -- --catalog /tmp/catalog.csv --out out/ — and compare out/gliformer-large-ner__gliformer_large_ner_s256_head_wfp16.json with the sweep table on this page.