10 actions in 9 pieces of software · ranked by words, meaning and measured trust · 598 ms
modelrecord129,888 downloads/month
- token-classification
Task: token-classification
- token-classification
modelrecord1,860 downloads/month
- fill-mask
Task: fill-mask
- fill-mask
modelrecord41,154 downloads/month
- feature-extraction
Task: feature-extraction
- feature-extraction
modelrecord4,360 downloads/month
- text-ranking
Task: text-ranking
- text-ranking
modelrecord8,724 downloads/month
- zero-shot-classification
Task: zero-shot-classification
- zero-shot-classification
modelrecord68,488 downloads/month
- sentence-similarity
Task: sentence-similarity
- sentence-similarity
modelrecord18 downloads/month
- text-generation
Task: text-generation
- text-generation
libraryrecord31,200,307 downloads/month
- brotli
- 9CliniGuard Laboratory NERdemo or tutorialno passport yet
MCP serverrecord
- cliniguard_laboratory_ner_extract_entities_1
Extract laboratory result entities (test names, values, units, ranges, flags, …) from clinical text.
- cliniguard_laboratory_ner_extract_entities
Extract laboratory result entities (test names, values, units, ranges, flags, …) from clinical text.
- cliniguard_laboratory_ner_extract_entities_1
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.