feat(imf): WO02 ONNX export pipeline — KV decoder, fp16/int8, Modal runner

.github/workflows/test.yml

@@ -43,3 +43,16 @@ jobs:
         run: |
           PYTHONPATH=src python -m src.cli list
           test "$(PYTHONPATH=src python -m src.cli list | jq 'length')" -ge 3
+
+  export-fixture:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions/setup-python@v5
+        with: { python-version: "3.11" }
+      - run: |
+          python -m pip install --upgrade pip
+          pip install torch==2.12.1 transformers==5.14.1
+          pip install -e ".[dev,train,export]"
+      - name: IMF export + parity gate fixture tests (torch vs ORT)
+        run: PYTHONPATH=src python -m pytest tests/test_imf_export.py tests/test_imf_parity.py -v

docs/imf-v1.md

@@ -47,7 +47,7 @@ model.zip
 | `tokenizer` | enum | `bytes` (the only v1 value) |
 | `opset` | int | 7..14; must equal the graphs' opset |
 | `decoder` | enum | `plain` \| `kv` (`kv` requires decoder-kv.onnx) |
-| `precision` | enum | `fp32` \| `fp16` \| `int8` |
+| `precision` | enum | `fp32` \| `fp16` \| `int8` (fp16 = torch-native half export: float16 graph IO, int64 ids unchanged; runtimes read dtypes from the session — the ORT float16 converter produces all-zero hiddens on real ByT5 and must not be used) |
 | `license` | str | non-empty (strict gate) |
 | `trained_from` | str | repo + run/checkpoint id |
 | `metrics` | list | `{name, value, protocol, source}`; `source` must be a `RESULTS.md#anchor` (strict gate) |
@@ -111,8 +111,26 @@ PYTHONPATH=src python -m imf validate <zip> --strict     # release gate
 PYTHONPATH=src python -m imf info <zip>                  # print manifest
 PYTHONPATH=src python -m imf pack --source <dir-or-legacy-zip> \
     --metadata <yaml> [--readme <file>] --out <zip>       # sha256 computed
+PYTHONPATH=src python -m imf parity <zip> --checkpoint <hf-dir> \
+    --test-data <jsonl>            # WO03 gate; writes parity into the zip
+PYTHONPATH=src python -m imf golden <zip> --inputs <jsonl> --out <jsonl> \
+    # cross-runtime golden set: 100 fixed strings, Python = reference
 ```
 
+The parity gate compares ONNX KV greedy decode against the transformers
+decoder loop (the exact math the export wraps — not `generate`, whose
+config-dependent behavior no runtime implements) over >= 500 test pairs;
+it writes `{samples, cer_delta}` into metadata and refuses to leave the
+zip non-strict. On Modal the same gate runs headless:
+
+```
+modal run --detach src/gpu/modal_export.py::main --model urd-g2p
+modal run --detach src/gpu/modal_export.py::parity --model urd-g2p
+```
+
+CI runs the full gate on the fixture model (export -> parity ->
+strict-validate) in the `export-fixture` job.
+
 Legacy notes:
 
 - Old secryst zips (`vocabs.yaml` + single `transformer.onnx`) and the

golden/khm-latn-100.jsonl

@@ -0,0 +1,100 @@
+{"input": "បង្វេច", "tokens": [101, 100, 113, 106, 121, 104, 102, 107], "output": "bangvech"}
+{"input": "រោក", "tokens": [117, 114, 110], "output": "rok"}
+{"input": "សង់ផ្ទះ", "tokens": [118, 100, 113, 106, 115, 107, 119, 104, 100, 107], "output": "sangphteah"}
+{"input": "អប្បបរិមាណ", "tokens": [100, 101, 101, 100, 101, 117, 108, 112, 100, 113], "output": "abbabriman"}
+{"input": "ឈឺចាប់", "tokens": [102, 107, 107, 120, 102, 107, 104, 100, 101], "output": "chhucheab"}
+{"input": "អសមត្ថភាព", "tokens": [100, 118, 100, 112, 114, 119, 119, 107, 100, 115, 107, 100, 115], "output": "asamotthaphap"}
+{"input": "និយាយ", "tokens": [113, 108, 124, 104, 100, 124], "output": "niyeay"}
+{"input": "សម្ងំ", "tokens": [118, 100, 112, 113, 106, 114, 112], "output": "samngom"}
+{"input": "អូម", "tokens": [100, 120, 112], "output": "aum"}
+{"input": "ស្វាយរៀង", "tokens": [118, 121, 100, 124, 117, 108, 104, 113, 106], "output": "svayrieng"}
+{"input": "បារមី", "tokens": [101, 100, 117, 112, 108], "output": "barmi"}
+{"input": "រនល", "tokens": [117, 114, 113, 111], "output": "ronl"}
+{"input": "ធម្មយុត្តិ", "tokens": [119, 107, 114, 112, 112, 114, 124, 114, 120, 119, 119, 104], "output": "thommoyoutte"}
+{"input": "ទឹកឃ្មុំ", "tokens": [119, 120, 110, 100, 110, 107, 112, 114, 120, 112], "output": "tukakhmoum"}
+{"input": "ភ្លើង", "tokens": [115, 107, 111, 104, 120, 113, 106], "output": "phleung"}
+{"input": "ប្រួត", "tokens": [101, 117, 120, 114, 119], "output": "bruot"}
+{"input": "វោហារ", "tokens": [121, 114, 107, 104, 100, 117], "output": "vohear"}
+{"input": "ច្បាប់", "tokens": [102, 107, 101, 100, 101], "output": "chbab"}
+{"input": "ទន្ទឹម", "tokens": [119, 114, 113, 119, 120, 112], "output": "tontum"}
+{"input": "បញ្ចស័ក", "tokens": [101, 100, 113, 107, 102, 107, 114, 118, 100, 110], "output": "banhchosak"}
+{"input": "ល្បី", "tokens": [111, 101, 108], "output": "lbi"}
+{"input": "គុណូបការ", "tokens": [110, 114, 120, 113, 100, 120, 101, 110, 100, 117], "output": "kounaubkar"}
+{"input": "បញ្ចុក", "tokens": [101, 100, 113, 107, 102, 107, 114, 120, 110], "output": "banhchouk"}
+{"input": "ជ្រាបស្រាប់", "tokens": [102, 107, 117, 104, 100, 101, 100, 118, 117, 100, 101], "output": "chreabasrab"}
+{"input": "សៃយ៉ឺន", "tokens": [118, 100, 108, 124, 104, 120, 113], "output": "saiyeun"}
+{"input": "លោះខ្ញុំ", "tokens": [111, 114, 107, 110, 107, 113, 107, 114, 112], "output": "lohkhnhom"}
+{"input": "ទូទឹម", "tokens": [119, 114, 120, 119, 120, 112], "output": "toutum"}
+{"input": "ប្រវត្តិសាស្ត្រ", "tokens": [101, 117, 100, 121, 114, 119, 119, 104, 35, 118, 100, 118, 119, 117], "output": "bravotte sastr"}
+{"input": "ខ្លោងទ្វារ", "tokens": [110, 107, 111, 100, 114, 113, 106, 114, 119, 121, 104, 100, 117], "output": "khlaongotvear"}
+{"input": "គេជាច្រើន", "tokens": [110, 104, 102, 107, 100, 102, 107, 117, 100, 104, 113], "output": "kechachraen"}
+{"input": "បង្កួយ", "tokens": [101, 100, 113, 106, 110, 104, 100, 119], "output": "bangkeat"}
+{"input": "ហៃអើ", "tokens": [107, 100, 108, 100, 104], "output": "haiae"}
+{"input": "ឆ្កឹះឆ្កៀល", "tokens": [102, 107, 107, 110, 114, 104, 100, 107, 102, 107, 107, 110, 108, 104, 111], "output": "chhkoeahchhkiel"}
+{"input": "ទំលាក់", "tokens": [119, 114, 112, 35, 111, 104, 100, 110], "output": "tom leak"}
+{"input": "ហ្រ្វង់", "tokens": [107, 117, 121, 114, 113, 106], "output": "hrvong"}
+{"input": "រាស់", "tokens": [117, 104, 100, 118, 100], "output": "reasa"}
+{"input": "លោភលន់", "tokens": [111, 114, 115, 107, 114, 111, 113], "output": "lopholn"}
+{"input": "អរគុណណាស់", "tokens": [100, 117, 110, 114, 120, 113, 113, 100, 118, 100], "output": "arkounnasa"}
+{"input": "ដោយហេតុ", "tokens": [103, 100, 114, 124, 107, 104, 119, 114], "output": "daoyheto"}
+{"input": "អ្នកចំរៀង", "tokens": [100, 113, 100, 110, 102, 107, 100, 112, 117, 108, 104, 113, 106], "output": "anakchamrieng"}
+{"input": "ពោធិសម្ភារ", "tokens": [115, 114, 119, 107, 108, 118, 100, 112, 115, 107, 104, 100, 117], "output": "pothisamphear"}
+{"input": "ចូលហ៊ុន", "tokens": [102, 107, 100, 120, 111, 107, 114, 120, 113], "output": "chaulhoun"}
+{"input": "បបរ", "tokens": [101, 100, 101, 117], "output": "babr"}
+{"input": "រូបលោក", "tokens": [117, 114, 120, 101, 111, 114, 110], "output": "roublok"}
+{"input": "ហ៊ុមព័ទ្ធ", "tokens": [107, 114, 120, 112, 115, 119, 119, 107], "output": "houmptth"}
+{"input": "ការហាត់ប្រាណ", "tokens": [110, 100, 117, 35, 107, 100, 119, 101, 117, 100, 113], "output": "kar hatbran"}
+{"input": "មិនបានជា", "tokens": [112, 108, 113, 101, 100, 113, 102, 107, 104, 100], "output": "minbanchea"}
+{"input": "កម្មវិបាក", "tokens": [110, 100, 112, 112, 114, 121, 108, 101, 104, 100, 110], "output": "kammovibeak"}
+{"input": "កុំអាល", "tokens": [110, 114, 112, 100, 111], "output": "komal"}
+{"input": "សុខយាន", "tokens": [118, 114, 110, 107, 124, 104, 100, 113], "output": "sokhyean"}
+{"input": "ទឹកស្លាប់", "tokens": [119, 120, 110, 100, 118, 111, 100, 101], "output": "tukaslab"}
+{"input": "អធិការបតី", "tokens": [100, 119, 107, 108, 110, 104, 100, 117, 114, 101, 119, 104, 108], "output": "athikearobtei"}
+{"input": "ខ្តត", "tokens": [110, 107, 119, 100, 119], "output": "khtat"}
+{"input": "ស្ទេញ", "tokens": [118, 119, 104, 113, 107], "output": "stenh"}
+{"input": "ដល់ហើយ", "tokens": [103, 111, 107, 100, 104, 124], "output": "dlhaey"}
+{"input": "ក្ដៀប", "tokens": [110, 103, 108, 104, 101], "output": "kdieb"}
+{"input": "ភ្លៀងមួយមេ", "tokens": [115, 107, 111, 108, 104, 113, 106, 112, 120, 114, 124, 112, 104], "output": "phliengmuoyme"}
+{"input": "សៃយ", "tokens": [118, 100, 108, 124], "output": "saiy"}
+{"input": "រាជបល្ល័ង្ក", "tokens": [117, 104, 100, 102, 107, 114, 101, 100, 111, 111, 113, 106, 110], "output": "reachoballngk"}
+{"input": "ល្អក់", "tokens": [111, 100, 114, 110], "output": "laok"}
+{"input": "ឈ្ងុយឆ្ងាញ់", "tokens": [102, 107, 107, 113, 106, 114, 120, 124, 114, 102, 107, 107, 113, 106, 100, 113, 107], "output": "chhngouyochhnganh"}
+{"input": "រ៉ឹង", "tokens": [117, 114, 104, 113, 106], "output": "roeng"}
+{"input": "ប្រុងនឹង", "tokens": [101, 117, 114, 113, 106, 113, 120, 113, 106], "output": "brongnung"}
+{"input": "ការប្រើប្រាស់", "tokens": [110, 100, 117, 114, 101, 117, 100, 104, 101, 117, 100, 118, 100], "output": "karobraebrasa"}
+{"input": "គ្រោះ", "tokens": [110, 117, 114, 107], "output": "kroh"}
+{"input": "កលកិច្ច", "tokens": [110, 100, 111, 110, 104, 102, 107, 102, 107], "output": "kalkechch"}
+{"input": "ផ្សារផ្សោ", "tokens": [115, 107, 118, 100, 100, 117, 114, 115, 107, 118, 100, 100, 114], "output": "phsaarophsaao"}
+{"input": "ស្រករ", "tokens": [118, 117, 100, 110, 117], "output": "srakr"}
+{"input": "រត់លឿន", "tokens": [117, 119, 111, 120, 104, 113], "output": "rtluen"}
+{"input": "និត្យ", "tokens": [113, 108, 119, 124], "output": "nity"}
+{"input": "គ្រប់រូប", "tokens": [110, 117, 114, 101, 117, 114, 120, 101], "output": "krobroub"}
+{"input": "ឲ្យទឹក", "tokens": [100, 114, 124, 119, 120, 110], "output": "aoytuk"}
+{"input": "ចាប់ត្រី", "tokens": [102, 107, 100, 101, 119, 117, 104, 108], "output": "chabtrei"}
+{"input": "ពេជ្រ", "tokens": [115, 104, 102, 107, 117], "output": "pechr"}
+{"input": "អគ្គស្នងការ", "tokens": [100, 110, 110, 114, 118, 113, 100, 113, 106, 110, 100, 117], "output": "akkosnangkar"}
+{"input": "ដួល", "tokens": [103, 120, 114, 111], "output": "duol"}
+{"input": "នៅនឹង", "tokens": [113, 114, 122, 113, 120, 113, 106], "output": "nownung"}
+{"input": "ផលកម្ម", "tokens": [115, 107, 100, 111, 114, 110, 100, 112, 112], "output": "phalokamm"}
+{"input": "ញាំញី", "tokens": [113, 107, 104, 100, 113, 107, 108], "output": "nheanhi"}
+{"input": "ភាតរ", "tokens": [115, 107, 104, 100, 119, 117], "output": "pheatr"}
+{"input": "មួយនេះ", "tokens": [112, 120, 114, 124, 113, 108, 107], "output": "muoynih"}
+{"input": "ផ្លូវសួន", "tokens": [115, 107, 111, 100, 120, 121, 118, 120, 114, 113], "output": "phlauvsuon"}
+{"input": "ឆ្នាំច", "tokens": [102, 107, 107, 113, 100, 102, 107], "output": "chhnach"}
+{"input": "ត្នោត", "tokens": [119, 113, 100, 114, 119], "output": "tnaot"}
+{"input": "វាង", "tokens": [121, 104, 100, 113, 106], "output": "veang"}
+{"input": "រាជបុត្រ", "tokens": [117, 104, 100, 102, 107, 101, 114, 119, 117], "output": "reachbotr"}
+{"input": "ស្រមូម", "tokens": [118, 117, 100, 112, 114, 120, 112], "output": "sramoum"}
+{"input": "ចិត្តស៊ូ", "tokens": [102, 107, 104, 119, 119, 100, 118, 100, 114, 120], "output": "chettasaou"}
+{"input": "អក្សរខម", "tokens": [100, 110, 118, 100, 100, 117, 114, 110, 107, 112], "output": "aksaarokhm"}
+{"input": "ទូទឹកកក", "tokens": [119, 114, 120, 119, 120, 110, 100, 110, 110], "output": "toutukakk"}
+{"input": "កាត់ឲ្យខ្លី", "tokens": [110, 100, 119, 35, 100, 114, 124, 35, 110, 107, 111, 104, 108], "output": "kat aoy khlei"}
+{"input": "យ៉ាងណាក៏ដោយ", "tokens": [124, 104, 100, 113, 106, 113, 100, 35, 110, 100, 103, 100, 114, 124], "output": "yeangna kadaoy"}
+{"input": "បំផុត", "tokens": [101, 100, 112, 115, 107, 114, 119], "output": "bamphot"}
+{"input": "រកអ្វីប្រៀបពុំបាន", "tokens": [117, 114, 110, 100, 100, 121, 104, 108, 35, 101, 117, 108, 104, 101, 35, 101, 100, 113], "output": "rokaavei brieb ban"}
+{"input": "មកយឺត", "tokens": [112, 114, 110, 124, 120, 119], "output": "mokyut"}
+{"input": "អប្សរា", "tokens": [100, 101, 118, 100, 100, 117, 100], "output": "absaara"}
+{"input": "បិតុច្ឆា", "tokens": [101, 104, 119, 114, 102, 107, 102, 107, 107, 100], "output": "betochchha"}
+{"input": "អស់អញ", "tokens": [100, 118, 100, 100, 113, 107], "output": "asaanh"}
+{"input": "ចាង", "tokens": [102, 107, 100, 113, 106], "output": "chang"}
+{"input": "មិនអស់ចិត្ត", "tokens": [112, 108, 113, 114, 100, 118, 100, 102, 107, 104, 119, 119], "output": "minoasachett"}

models/heb-diac/heb-diac-1.0.README.md

@@ -0,0 +1,42 @@
+# heb-diac-1.0
+
+Hebrew diacritization (adds nikud). Byte-level seq2seq (ByT5-base):
+the tokenizer is raw UTF-8 bytes (pad=0, EOS=1) — no vocab files.
+IMF v1 artifact; format spec: interscript/ml-models docs/imf-v1.md.
+
+- decoder: kv greedy (plain fallback included in the zip)
+- metrics: greedy DER 29.0% (the v1 runtime path); beam=4 DER 17.46%
+  (reference quality — beam search is not in v1 runtimes) —
+  rababa/docs/RESULTS.md#hebrew-diacritization
+- trained from: rababa train_hebrew_seeds.py s43 run-001
+  (rababa-checkpoints:/rababa_hebrew_byt5_s43/run-001/best)
+- license: BSD-3-Clause
+
+## Usage
+
+Ruby (secryst gem, the Ruby binding of interscript-ml):
+
+```ruby
+require "secryst"
+translator = Secryst::Translator.new(model: "heb-diac-1.0")
+translator.translate("שלום")
+```
+
+TypeScript (@interscript/ml):
+
+```ts
+import { loadModel } from "@interscript/ml";
+const model = await loadModel("heb-diac-1.0");
+await model.translate("שלום");
+```
+
+Python (interscript-ml):
+
+```python
+from interscript_ml import Model
+model = Model.load("heb-diac-1.0")
+model.translate("שלום")
+```
+
+All three runtimes verify the sha256 of every ONNX member in this zip
+against metadata.yaml before loading.

models/heb-diac/heb-diac-1.0.metadata.yaml

@@ -0,0 +1,26 @@
+format: imf-v1
+id: heb-diac-1.0
+task: diacritization
+source_script: Hebr
+target: Hebr
+tokenizer: bytes
+opset: 14
+decoder: kv
+precision: fp32
+license: BSD-3-Clause
+trained_from: >-
+  rababa train_hebrew_seeds.py s43 run-001; checkpoint
+  rababa-checkpoints:/rababa_hebrew_byt5_s43/run-001/best
+metrics:
+  - name: der_greedy
+    value: 29.0
+    protocol: >-
+      beam=1 greedy decode (the v1 runtime path); Nakdimon test split,
+      5,095 examples; ByT5-base s43
+    source: rababa/docs/RESULTS.md#hebrew-diacritization
+  - name: der_beam4
+    value: 17.46
+    protocol: >-
+      beam=4 standard decode (reference quality; beam search is not in
+      v1 runtimes); Nakdimon test split, 5,095 examples; ByT5-base s43
+    source: rababa/docs/RESULTS.md#hebrew-diacritization

models/khm-latn/khm-latn-1.0.README.md

@@ -5,7 +5,7 @@ the tokenizer is raw UTF-8 bytes (pad=0, EOS=1) — no vocab files.
 IMF v1 artifact; format spec: interscript/ml-models docs/imf-v1.md.
 
 - precision: fp16 (mixed: LayerNorm parameters in fp32)
-- decoder: plain greedy (KV-cache variant ships with the WO02 export)
+- decoder: kv greedy (plain fallback included in the zip)
 - metrics: CER 27.42 / EM 59.66 on 895 held-out pairs —
   secryst/docs/RESULTS.md#khmer-transliteration-2026-08-14
 - trained from: secryst train_khmer_byt5.py run-001

models/khm-latn/khm-latn-1.0.metadata.yaml

@@ -0,0 +1,26 @@
+format: imf-v1
+id: khm-latn-1.0
+task: translit
+source_script: Khmr
+target: Latn
+tokenizer: bytes
+opset: 14
+decoder: kv
+precision: fp32
+license: BSD-3-Clause
+trained_from: >-
+  secryst train_khmer_byt5.py run-001; checkpoint
+  secryst-checkpoints:/khmer_byt5/run-001/best
+metrics:
+  - name: cer
+    value: 27.42
+    protocol: >-
+      greedy decode; 895 held-out pairs; split 16,120/895/895 seed 42;
+      ByT5-small early stop @ep15
+    source: secryst/docs/RESULTS.md#khmer-transliteration-2026-08-14
+  - name: em
+    value: 59.66
+    protocol: >-
+      greedy decode; 895 held-out pairs; split 16,120/895/895 seed 42;
+      ByT5-small early stop @ep15
+    source: secryst/docs/RESULTS.md#khmer-transliteration-2026-08-14

models/urd-diac/urd-diac-1.0.README.md

@@ -0,0 +1,41 @@
+# urd-diac-1.0
+
+Urdu diacritization (adds haraqat). Byte-level seq2seq (ByT5-small):
+the tokenizer is raw UTF-8 bytes (pad=0, EOS=1) — no vocab files.
+IMF v1 artifact; format spec: interscript/ml-models docs/imf-v1.md.
+
+- decoder: kv greedy (plain fallback included in the zip)
+- metrics: CER 3.74 on 11,940 held-out —
+  rababa-urdu/docs/RESULTS.md#diacritization-urdu-text--text--haraqat
+- trained from: rababa-urdu modal_app_diacrit.py run-001
+  (urdu-diacrit-checkpoints:/urdu_diacrit/run-001/best)
+- license: BSD-3-Clause
+
+## Usage
+
+Ruby (secryst gem, the Ruby binding of interscript-ml):
+
+```ruby
+require "secryst"
+translator = Secryst::Translator.new(model: "urd-diac-1.0")
+translator.translate("اردو")
+```
+
+TypeScript (@interscript/ml):
+
+```ts
+import { loadModel } from "@interscript/ml";
+const model = await loadModel("urd-diac-1.0");
+await model.translate("اردو");
+```
+
+Python (interscript-ml):
+
+```python
+from interscript_ml import Model
+model = Model.load("urd-diac-1.0")
+model.translate("اردو")
+```
+
+All three runtimes verify the sha256 of every ONNX member in this zip
+against metadata.yaml before loading.

models/urd-diac/urd-diac-1.0.metadata.yaml

@@ -0,0 +1,20 @@
+format: imf-v1
+id: urd-diac-1.0
+task: diacritization
+source_script: Arab
+target: Arab
+tokenizer: bytes
+opset: 14
+decoder: kv
+precision: fp32
+license: BSD-3-Clause
+trained_from: >-
+  rababa-urdu modal_app_diacrit.py run-001; checkpoint
+  urdu-diacrit-checkpoints:/urdu_diacrit/run-001/best
+metrics:
+  - name: cer
+    value: 3.74
+    protocol: >-
+      greedy decode; 11,940 held-out; labels derived IPA->haraqat
+      (deterministic conversion, 597K pairs); ByT5-small, 2 epochs
+    source: rababa-urdu/docs/RESULTS.md#diacritization-urdu-text--text--haraqat

models/urd-g2p/urd-g2p-1.0.README.md

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+# urd-g2p-1.0
+
+Urdu → IPA grapheme-to-phoneme conversion. Byte-level seq2seq
+(ByT5-small): the tokenizer is raw UTF-8 bytes (pad=0, EOS=1) — no vocab
+files. IMF v1 artifact; format spec: interscript/ml-models docs/imf-v1.md.
+
+- decoder: kv greedy (plain fallback included in the zip)
+- metrics: CER 14.77 / EM 33.6 on 12,699 held-out words —
+  rababa-urdu/docs/RESULTS.md#g2p-urdu-text--ipa
+- trained from: rababa-urdu modal_app.py run-001
+  (urdu-g2p-checkpoints:/urdu_g2p/run-001/best)
+- license: BSD-3-Clause
+
+## Usage
+
+Ruby (secryst gem, the Ruby binding of interscript-ml):
+
+```ruby
+require "secryst"
+translator = Secryst::Translator.new(model: "urd-g2p-1.0")
+translator.translate("اردو")
+```
+
+TypeScript (@interscript/ml):
+
+```ts
+import { loadModel } from "@interscript/ml";
+const model = await loadModel("urd-g2p-1.0");
+await model.translate("اردو");
+```
+
+Python (interscript-ml):
+
+```python
+from interscript_ml import Model
+model = Model.load("urd-g2p-1.0")
+model.translate("اردو")
+```
+
+All three runtimes verify the sha256 of every ONNX member in this zip
+against metadata.yaml before loading.