Comments (2)
olokobayusuf
commented on May 18, 2024
Hey @Papasmun I just noticed, it seems like your iOS device is not connected to the internet? Model embedding embeds the graph to reduce download times, but you still need an internet connection the very first time for NatML to fetch the session data needed to create the MLEdgeModel.
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olokobayusuf
commented on May 18, 2024
I'm closing this issue as we've made several improvements to model embedding in the 1.1.4 update.
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Related Issues (20)
- YOLOXPredictor memory leak when using async functions. HOT 5
- NatDevice app token is invalid. Check your NatML access key and plan. HOT 8
- Error tflite tensorflow/lite/kernels/gather_nd.cc:135 indices_has_only_positive_elements was not true. HOT 4
- AndroidRuntime at libNatML.NMLModelPredict(NMLModelPredict:296) HOT 4
- Error AndroidRuntime at libNatML.NMLModelPredict(NMLModelPredict:296) HOT 1
- I upgraded to 1.1.2, but the error is still not fixed. HOT 4
- (android) Shutting down ... cause of Fatal Exception HOT 1
- Async `MLEdgeModel.Create` is still blocking the main thread on Android HOT 3
- GPU prediction does not work on Android HOT 7
- I accidentally downgraded the plan for hub.natml.ai. I didn't know where to ask, so I'm posting here.
- Implement `IMLCloudFeature` in `MLAudioFeature` HOT 1
- Add support for creating scalar features on CoreML HOT 1
- Unable to build for Android with version 1.1.4+ HOT 2
- Random failure in Android Unity Cloud Builds HOT 5
- Failure to create secret when building Android on OSX in Unity Cloud Build HOT 5
- `JsonException` when creating `MLEdgeModel` HOT 8
- Requests to https://api.natml.ai/graph failing - breaks building project HOT 1
- Jenkins pipeline build error HOT 1
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