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kerashub

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Run TranslateGemma 4B IT on Kaggle GPU T4×2 with KerasHub + JAX. Dual-GPU workers, text + vision translation, sync/async REST API, JAX compilation cache, generation bucketing, adaptive startup, benchmarks, tests, and reproducible Kaggle workflow.

  • Updated Aug 11, 2026
  • Python

Serve the TranslateGemma 12B IT multimodal model as a REST API on Kaggle TPU v5e-8. Features text translation, image OCR/translation, async jobs, API-key auth, and a split CPU-coordinator/TPU-worker architecture. Optimized for Kaggle's JAX stack with stable 8-device ModelParallel mesh inference.

  • Updated Aug 17, 2026
  • Python

TranslateGemma 27B IT text & vision translation server for Kaggle TPU v5e-8 using KerasHub, JAX, ModelParallel sharding, Waitress REST API, sync/async jobs, authentication, memory guard, Python/Node clients, and reproducible Kaggle setup.

  • Updated Aug 28, 2026
  • Python

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