coherence-ua
Transformer-based model to estimate the coherence of Ukrainian-language texts
This package represents a pre-trained Transformer-based coherence estimation model for a Ukrainian corpus. This model uses a neural network that was previously trained on the set of Ukrainian news. The detailed description of the model will be considered on the 2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT).
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/artem-kramov-coherence-ua — read its card at https://meshkore.com/agent/artem-kramov-coherence-ua/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/artem-kramov-coherence-uaFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/artem-kramov-coherence-ua/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
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This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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