Beginning in January 2023, versions for all NVIDIA Merlin projects will change from semantic versioning like 4.0 to calendar versioning like 23.01.

Transformers4Rec

Contents

  • Introduction
  • Why Transformers4Rec?
  • Model Architectures
  • Training and Evaluation
  • End-to-End Pipeline with Hugging Face Transformers and NVIDIA Merlin
  • Multi-GPU data-parallel training using the Trainer class
  • Example Notebooks
  • API Documentation
  • Additional Resources
Transformers4Rec
  • »
  • Overview: module code

All modules for which code is available

  • merlin_standard_lib.proto.schema_bp
  • merlin_standard_lib.schema.schema
  • merlin_standard_lib.utils.embedding_utils
  • transformers4rec.config.schema
  • transformers4rec.config.trainer
  • transformers4rec.config.transformer
  • transformers4rec.torch.block.base
  • transformers4rec.torch.block.mlp
  • transformers4rec.torch.block.transformer
  • transformers4rec.torch.features.base
  • transformers4rec.torch.features.continuous
  • transformers4rec.torch.features.embedding
  • transformers4rec.torch.features.sequence
  • transformers4rec.torch.features.tabular
  • transformers4rec.torch.losses
  • transformers4rec.torch.masking
  • transformers4rec.torch.model.base
  • transformers4rec.torch.model.prediction_task
  • transformers4rec.torch.ranking_metric
  • transformers4rec.torch.tabular.aggregation
  • transformers4rec.torch.tabular.base
  • transformers4rec.torch.tabular.transformations
  • transformers4rec.torch.trainer
  • transformers4rec.torch.utils.data_utils
  • transformers4rec.torch.utils.examples_utils
  • transformers4rec.torch.utils.schema_utils
  • transformers4rec.torch.utils.torch_utils
  • transformers4rec.utils.dependencies

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