hf_inference.nlp.ner
shallowio.github.whiteknightonhorse/apibase · Verify this server
Extract named entities — people (PER), locations (LOC), organizations (ORG), and miscellaneous (MISC) — from text using a BERT-based NER model via HuggingFace Inference API. Returns each detected entity with its type, confidence score, and character positions in the original text. Default model: dbmdz/bert-large-cased-finetuned-conll03-english (CoNLL-2003, English). Useful for document parsing, contact extraction, and knowledge graph construction.
1 trials · measured 26 days ago
hf_inference.nlp.ner scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.whiteknightonhorse/apibase, measured 23 Sept 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote + stdio
- Credential class
- self-provisionable
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-09-23 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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