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![image](https://github.com/user-attachments/assets/a42ddc20-3347-4b25-ba67-88b1659942bf)
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there are other whisper models on huggingface that are tf lite.
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I have previously crosscompiled different versions of TensorFlow lite (2.14, 2.15.1, 2.16.2) for Python 3.10 using CMAKE and following the instructions from the [website ](https://ai.google.dev/edge/l…
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When requesting info about model instances using Kaggle API, it returns a single result of the latest (current) version. I would expect that the API response will contain all versions.
For example:…
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### Details:
Convert the tensorflow ANN model to tf-lite so that it runs on a microcontroller.
Investigate the deployment of the tf-lite model to an Arduino or any other supported microcontroller.
…
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Currently there's only suppor for TPU Edge computing.
This setup is within the tf lite scope. Current fps is at 2 fps with 4 CPU cores.
Docs:
- Python general setup for tf lite: https://www.…
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### 1. System information
tensorflow1.15 、tensorflow2.4
### 2. Code
```
converter = tf.lite.TFLiteConverter.from_saved_model(path)
converter.post_training_quantize = True
conver…
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Thank you for great work.
I tested SFace recognition.
Surprisingly, face_recognition_sface_2021dec_int8.onnx is slower about 50% than face_recognition_sface_2021dec.onnx.
Is it normal?
Initially…
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Getting the error `Regular TensorFlow ops are not supported by this interpreter.` Same as #63
```
I/tflite ( 7126): Initialized TensorFlow Lite runtime.
E/tflite ( 7126): Regular TensorFlow op…
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- [ ] TF Lite arm version
- [ ] setup github action
- [ ] Wait for isar to be updated: https://github.com/isar/isar/issues/876