Files
huggingface--transformers/docs/source/en/main_classes/model.md
T
wehub-resource-sync e06fe8e8c6
Secret Leaks / trufflehog (push) Failing after 1s
Build documentation / build (push) Failing after 1s
Build documentation / build_other_lang (push) Failing after 0s
CodeQL Security Analysis / CodeQL Analysis (push) Failing after 0s
PR CI / pr-ci (push) Failing after 1s
Slow tests on important models (on Push - A10) / Get all modified files (push) Failing after 1s
Slow tests on important models (on Push - A10) / Model CI (push) Has been skipped
Self-hosted runner (benchmark) / Benchmark (aws-g5-4xlarge-cache) (push) Has been cancelled
New model PR merged notification / Notify new model (push) Has been cancelled
Update Transformers metadata / build_and_package (push) Has been cancelled
chore: import upstream snapshot with attribution
2026-07-13 11:57:37 +08:00

1.7 KiB

Models

The base class [PreTrainedModel] implements the common methods for loading/saving a model either from a local file or directory, or from a pretrained model configuration provided by the library (downloaded from HuggingFace's Hub).

[PreTrainedModel] also implements a few methods which are common among all the models to:

  • resize the input token embeddings when new tokens are added to the vocabulary

The other methods that are common to each model are defined in [~modeling_utils.ModuleUtilsMixin] and [~generation.GenerationMixin].

PreTrainedModel

autodoc PreTrainedModel - push_to_hub - all

Custom models should also include a _supports_assign_param_buffer, which determines if superfast init can apply on the particular model. Signs that your model needs this are if test_save_and_load_from_pretrained fails. If so, set this to False.

ModuleUtilsMixin

autodoc modeling_utils.ModuleUtilsMixin

Pushing to the Hub

autodoc utils.PushToHubMixin