10 actions in 10 pieces of software · ranked by words, meaning and measured trust · 324 ms
modelrecord6,737 downloads/month
- sentence-similarity
Task: sentence-similarity
- sentence-similarity
modelrecord1,976 downloads/month
- text-ranking
Task: text-ranking
- text-ranking
modelrecord18,682 downloads/month
- automatic-speech-recognition
Task: automatic-speech-recognition
- automatic-speech-recognition
modelrecord16,883 downloads/month
- fill-mask
Task: fill-mask
- fill-mask
modelrecord6,968 downloads/month
- text-classification
Task: text-classification
- text-classification
modelrecord79,447 downloads/month
- feature-extraction
Task: feature-extraction
- feature-extraction
modelrecord44 downloads/month
- text-generation
Task: text-generation
- text-generation
modelrecord1,081 downloads/month
- question-answering
Task: question-answering
- question-answering
modelrecord208 downloads/month
- robotics
Task: robotics
- robotics
modelrecord
- creatorrr/all-mpnet-base-v2
Sentence embedding using mpnet
- creatorrr/all-mpnet-base-v2
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.