from_pretrained() now warms up the common per-request variants with dummy inputs (device and host), so the first real call is within about 10% of later calls (independently verified in fresh processes; outputs bit-identical; steady-state latency unchanged). Adds model.warmup(...) for other variants, verbose=False by default, and documents the [server,test] extras and repo-root paths. tt-model.yaml and SERVING.md are unchanged.
code/ adds an installable Python package with a from_pretrained()/model(...) API, examples and tests (independently verified from a clean shell; outputs equal the server; no numerics change unless stated in the card). README usage is now Python-first; HTTP serving moved below. tt-model.yaml and SERVING.md are unchanged; they still describe the container image.
