Model reference · open weights
react-native-executorch-pp-ocr is an open-weight language model from software-mansion. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Released by | software-mansion |
|---|---|
| Type | Language models |
| Task | Image→text |
| Runs with | executorch |
| Released | 2026-06-29 |
| Popularity | 554 downloads / month |
| Licence | Open weights |
About
This repository hosts the pp-ocrv6 models exported for the
React Native ExecuTorch
library as ExecuTorch .pte programs, ready to run on device.
Upstream models:
| Path | Backend | Precision |
|---|---|---|
coreml/pp_ocrv6_coreml_int8.pte | coreml | int8 |
vulkan/pp_ocrv6_vulkan_fp16.pte | vulkan | fp16 |
xnnpack/pp_ocrv6_xnnpack_fp32.pte | xnnpack | fp32 |
xnnpack/pp_ocrv6_xnnpack_int8.pte | xnnpack | int8 |
charset.json 128 kB
config.json 30 B
coreml/config.json 1.3 kB
coreml/pp_ocrv6_coreml_int8.pte 7.9 MB
vulkan/config.json 1.3 kB
vulkan/pp_ocrv6_vulkan_fp16.pte 25.0 MB
xnnpack/config.json 2.3 kB
xnnpack/pp_ocrv6_xnnpack_fp32.pte 29.6 MB
xnnpack/pp_ocrv6_xnnpack_int8.pte 22.8 MB
These files are published for the ExecuTorch v1.4.1 runtime. ExecuTorch gives no forward compatibility guarantee, so an older runtime may fail to load them.
To use them in React Native ExecuTorch, pass the model constant shipped in the library's model registry to the corresponding task pipeline. See the documentation.
To load these files in your own ExecuTorch runtime, read the compatibility note first.
.pte is a multifunction Core ML model (detect + recognize share one
precompiled .mlmodelc). Requires iOS 18+ and an ExecuTorch runtime ≥ 1.3 (multifunction
loading via functionName).The recognizer's output is a probability distribution over the charset with
softmax already baked in. Index 0 is the CTC blank, so charset[i]
corresponds to logit i + 1.
From the published model card. Full card on the HuggingFace links in the sidebar.
How it works
Using it via the API
Once AxForge deploys react-native-executorch-pp-ocr for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (react-native-executorch-pp-ocr below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/chat/completions \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"react-native-executorch-pp-ocr","messages":[{"role":"user","content":"Hello"}]}'
Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.