GLiNER2.5-multi-Decide
fastino · Kit
Classifies text into labels you pass at call time, in one pass and with no prompt template. A 287M model for routing, intent, sentiment and moderation on non-E…
fastino · Kit
Classifies text into labels you pass at call time, in one pass and with no prompt template. A 287M model for routing, intent, sentiment and moderation on non-E…
Qwen · Kit
Checks text for safety token by token while a language model is still writing, rating each part safe, controversial or unsafe in 119 languages and dialects. Su…
Qwen · Kit
A small safety moderation model that labels a prompt or a model reply as safe, controversial or unsafe and names the risk categories, in 119 languages. Suits d…
convaiinnovations · Kit
Reads text such as emails and tickets in 100+ languages and answers typed questions with probabilities in one pass. A 322M model, with no text generation, for…
openjev · Kit
Answers typed decisions about text, web pages and screenshots, picking a choice, a yes-or-no probability or a score from your own labels in one forward pass. F…
convaiinnovations · Kit
Answers typed questions about a message, email, ticket or JSON record with calibrated probabilities in one pass of about 33 ms, in 100+ languages. For develope…