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Point the post-training quantization docs to LiteRT Quantizer. - #1313

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Point the post-training quantization docs to LiteRT Quantizer.

Post-training quantization in the TensorFlow Lite converter is deprecated in
favor of LiteRT Quantizer, which quantizes a converted float32 LiteRT model.

  • Overview: mark post-training quantization as deprecated and add a warning
    that links to LiteRT Quantizer and the migration guide. Training-time
    techniques are not affected.
  • Post-training quantization page: add the same warning at the top.
  • Get started, step 3: recommend LiteRT Quantizer instead of the converter.

@copybara-service copybara-service Bot changed the title Point the model optimization guide's post-training quantization to LiteRT Quantizer. Point the post-training quantization docs to LiteRT Quantizer. Nov 10, 2026
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copybara-service Bot force-pushed the test_1014992949 branch 4 times, most recently from 58efdcd to e5244d9 Compare November 11, 2026 19:05
@github-actions github-actions Bot added the technique:qat Regarding tfmot.quantization.keras (for quantization-aware training) APIs and docs label Nov 11, 2026
Post-training quantization in the TensorFlow Lite converter is deprecated in
favor of LiteRT Quantizer, which quantizes a converted float32 LiteRT model.

* Overview: mark post-training quantization as deprecated and add a warning
  that links to LiteRT Quantizer and the migration guide. Training-time
  techniques are not affected.
* Post-training quantization page: add the same warning at the top.
* Get started, step 3: recommend LiteRT Quantizer instead of the converter.

PiperOrigin-RevId: 1019337843
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copybara-service Bot merged commit d3352a7 into master Nov 11, 2026
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copybara-service Bot deleted the test_1014992949 branch November 11, 2026 19:06
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technique:qat Regarding tfmot.quantization.keras (for quantization-aware training) APIs and docs

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