# models | tensorflow | Knowledge Base | Instagit

Models and examples built with TensorFlow

GitHub Stars: 77.7k

Repository: https://github.com/tensorflow/models

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## Articles

### [How to Integrate TensorBoard with Custom Training Loops in TensorFlow Models](/tensorflow/models/how-to-integrate-tensorboard-with-custom-training-loops)

Learn to integrate TensorBoard with custom training loops in TensorFlow. Easily visualize scalars histograms and images to monitor your models effectively.

- Tags: how-to-guide
- Published: 2026-02-28

### [How to Save and Load Checkpoints with Orbit in TensorFlow Models](/tensorflow/models/how-to-save-and-load-checkpoints-with-orbit)

Learn how to save and load checkpoints with Orbit in TensorFlow models. Effortlessly manage training progress with automatic saves, restores, and pre-emption handling. Maximize your model training efficiency.

- Tags: how-to-guide
- Published: 2026-02-28

### [How to Handle Multi-Device Training (CPU, GPU, TPU) in the TensorFlow Models Repository](/tensorflow/models/how-to-handle-multi-device-training-cpu-gpu-tpu)

Learn efficient multi-device training with TensorFlow models. Discover how to configure CPU, GPU, and TPU setups using flag-driven strategies and factory functions for optimized performance.

- Tags: how-to-guide
- Published: 2026-02-28

### [How to Implement Masked Language Modeling Pre-Training with TensorFlow Models](/tensorflow/models/how-to-implement-masked-language-modeling-pre-training)

Learn to implement masked language modeling pre-training using TensorFlow Models. Explore BertPretrainerV2, MaskedLM head layer, and MaskedLMTask for efficient model training.

- Tags: how-to-guide
- Published: 2026-02-28

### [How to Implement Attention Mechanisms in NLP Models Using TensorFlow Models](/tensorflow/models/how-to-implement-attention-mechanisms-in-nlp-models)

Learn how to implement attention mechanisms in NLP models with TensorFlow Models. Discover reusable Keras-compatible attention layers for efficient model building.

- Tags: how-to-guide
- Published: 2026-02-28

### [How to Preprocess Images for Vision Models Using TensorFlow Models](/tensorflow/models/how-to-preprocess-images-for-vision-models)

Learn to preprocess images for vision models with TensorFlow Models. Discover a production-ready pipeline for normalization, geometric transforms, and photometric augmentation.

- Tags: how-to-guide
- Published: 2026-02-28

### [How to Use Non-Maximum Suppression (NMS) in TensorFlow Models Vision Pipelines](/tensorflow/models/how-to-use-non-maximum-suppression-nms-in-vision-pipelines)

Learn how to use Non-Maximum Suppression NMS in TensorFlow Models vision pipelines. Optimize object detection with efficient batched NMS for thousands of proposals.

- Tags: how-to-guide
- Published: 2026-02-28

### [How to Implement Video Classification Models with TensorFlow Models](/tensorflow/models/how-to-implement-video-classification-models)

Implement video classification models using TensorFlow Models official/vision stack. Train on datasets like Kinetics-400 easily with 3D backbones and config-driven training.

- Tags: tutorial
- Published: 2026-02-28

### [How to Use Anchor Generators for Object Detection in TensorFlow Models](/tensorflow/models/how-to-use-anchor-generators-for-object-detection)

Learn to use anchor generators for object detection in TensorFlow Models. Create bounding-box templates efficiently using protobuf configuration and the anchor generator builder for your models.

- Tags: how-to-guide
- Published: 2026-02-28

### [How to Implement Image Segmentation Models with TensorFlow Models](/tensorflow/models/how-to-implement-image-segmentation-models)

Implement image segmentation models using TensorFlow Models. Build networks, add decoders and heads, and configure losses with the official Vision library for efficient end-to-end training.

- Tags: how-to-guide
- Published: 2026-02-28

### [How to Implement Object Detection with RetinaNet Using TensorFlow Models](/tensorflow/models/how-to-implement-object-detection-with-retinanet)

Implement object detection with RetinaNet using TensorFlow Models. Configure the RetinaNet dataclass, build the model, and train with RetinaNetTask for automatic focal loss, anchor generation, and NMS.

- Tags: tutorial
- Published: 2026-02-28

### [How to Configure Hyperparameters for TensorFlow Models in the `tensorflow/models` Repository](/tensorflow/models/how-to-configure-hyperparams-for-models)

Learn how to configure hyperparameters for TensorFlow models in the tensorflow models repository. Easily override defaults for optimal performance.

- Tags: how-to-guide
- Published: 2026-02-28

### [How to Use the TensorFlow Models Optimization Module for Training](/tensorflow/models/how-to-use-the-optimization-module-for-training)

Learn to use the TensorFlow Models optimization module for training with OptimizerFactory. Configure optimizers, learning-rate schedules, and warm-up policies efficiently.

- Tags: how-to-guide
- Published: 2026-02-28

### [How to Export TensorFlow Models for Serving: Complete Guide to SavedModel and Frozen Graph Export](/tensorflow/models/how-to-export-tensorflow-models-for-serving)

Learn to export TensorFlow models for serving using SavedModel and frozen graphs. Create deployable inference artifacts for TensorFlow Serving, Lite, and more.

- Tags: how-to-guide
- Published: 2026-02-28

### [How to Use Data Loaders for NLP Tasks in TensorFlow Models: A Complete Guide](/tensorflow/models/how-to-use-data-loaders-for-nlp-tasks)

Master TensorFlow data loaders for NLP. This guide explains using DataConfig, DataLoader, and DataLoaderFactory for seamless dataset routing in your models.

- Tags: how-to-guide
- Published: 2026-02-28

### [How to Fine-Tune BERT Models Using TensorFlow Model Garden: A Complete Guide](/tensorflow/models/how-to-fine-tune-bert-models-using-model-garden)

Learn to fine-tune BERT models with TensorFlow Model Garden. Our guide covers the unified training driver for NLP benchmarks like GLUE and SQuAD.

- Tags: how-to-guide
- Published: 2026-02-28

### [How to Build Vision Models with Backbones and Heads in TensorFlow Models](/tensorflow/models/how-to-build-vision-models-with-backbones-and-heads)

Learn to build vision models using TensorFlow Models. Understand backbones, decoders, and heads to create state-of-the-art detectors and segmenters with this modular architecture.

- Tags: tutorial
- Published: 2026-02-28

### [How to Use NLP Encoders and Pre-trained Models in TensorFlow Models](/tensorflow/models/how-to-use-nlp-encoders-and-pre-trained-models)

Discover how to use NLP encoders and pre-trained models in TensorFlow Models. Leverage the `build_encoder` factory for BERT, ALBERT, and more with pre-trained weights.

- Tags: tutorial
- Published: 2026-02-28

### [How to Create Custom Training Loops with Controller and Trainer in TensorFlow Models](/tensorflow/models/how-to-create-custom-training-loops-with-controller-and-trainer)

Create custom training loops in TensorFlow Models. Subclass Controller to modify sampling/steps or extend Trainer to override orchestration for greater flexibility.

- Tags: how-to-guide
- Published: 2026-02-28

### [How to Integrate tf.distribute with Orbit for Distributed Training](/tensorflow/models/how-to-integrate-tf-distribute-with-orbit-for-distributed-training)

Integrate tf.distribute with Orbit for distributed training. Orbit seamlessly connects with TensorFlow's API, requiring minimal strategy-aware code in your custom trainers.

- Tags: how-to-guide
- Published: 2026-02-28

### [How to Use SpineNet Backbone for Vision Models: A Complete Implementation Guide](/tensorflow/models/how-to-use-spinenet-backbone-for-vision-models)

Implement SpineNet backbone for vision models using TensorFlow Model Garden. Discover its superior accuracy for object detection and segmentation with this complete guide.

- Tags: how-to-guide
- Published: 2026-02-28

### [How to Implement a TransformerEncoderBlock Layer with tfm.nlp](/tensorflow/models/how-to-implement-a-transformerencoderblock-layer-with-tfm-nlp)

Learn to implement a TransformerEncoderBlock layer with tfm.nlp. Explore RMSNorm, grouped query attention, and block-sparse attention in this guide.

- Tags: how-to-guide
- Published: 2026-02-28

### [How to Use Orbit for Custom Training Loops in TensorFlow 2: A Complete Guide](/tensorflow/models/how-to-use-orbit-for-custom-training-loops-in-tensorflow-2)

Learn to use Orbit for custom training loops in TensorFlow 2. This guide covers distribution strategy, TF-function compilation, and TPU-optimized summaries for efficient model training.

- Tags: tutorial
- Published: 2026-02-28