transformers/docs/source/en/model_doc/auto.md

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# Auto Classes

In many cases, the architecture you want to use can be guessed from the name or the path of the pretrained model you
are supplying to the `from_pretrained()` method. AutoClasses are here to do this job for you so that you
automatically retrieve the relevant model given the name/path to the pretrained weights/config/vocabulary.

Instantiating one of [`AutoConfig`], [`AutoModel`], and
[`AutoTokenizer`] will directly create a class of the relevant architecture. For instance


```python
model = AutoModel.from_pretrained("google-bert/bert-base-cased")
```

will create a model that is an instance of [`BertModel`].

There is one class of `AutoModel` for each task, and for each backend (PyTorch, TensorFlow, or Flax).

## Extending the Auto Classes

Each of the auto classes has a method to be extended with your custom classes. For instance, if you have defined a
custom class of model `NewModel`, make sure you have a `NewModelConfig` then you can add those to the auto
classes like this:

```python
from transformers import AutoConfig, AutoModel

AutoConfig.register("new-model", NewModelConfig)
AutoModel.register(NewModelConfig, NewModel)
```

You will then be able to use the auto classes like you would usually do!

<Tip warning={true}>

If your `NewModelConfig` is a subclass of [`~transformers.PretrainedConfig`], make sure its
`model_type` attribute is set to the same key you use when registering the config (here `"new-model"`).

Likewise, if your `NewModel` is a subclass of [`PreTrainedModel`], make sure its
`config_class` attribute is set to the same class you use when registering the model (here
`NewModelConfig`).

</Tip>

## AutoConfig

[[autodoc]] AutoConfig

## AutoTokenizer

[[autodoc]] AutoTokenizer

## AutoFeatureExtractor

[[autodoc]] AutoFeatureExtractor

## AutoImageProcessor

[[autodoc]] AutoImageProcessor

## AutoVideoProcessor

[[autodoc]] AutoVideoProcessor

## AutoProcessor

[[autodoc]] AutoProcessor

## Generic model classes

The following auto classes are available for instantiating a base model class without a specific head.

### AutoModel

[[autodoc]] AutoModel

### TFAutoModel

[[autodoc]] TFAutoModel

### FlaxAutoModel

[[autodoc]] FlaxAutoModel

## Generic pretraining classes

The following auto classes are available for instantiating a model with a pretraining head.

### AutoModelForPreTraining

[[autodoc]] AutoModelForPreTraining

### TFAutoModelForPreTraining

[[autodoc]] TFAutoModelForPreTraining

### FlaxAutoModelForPreTraining

[[autodoc]] FlaxAutoModelForPreTraining

## Natural Language Processing

The following auto classes are available for the following natural language processing tasks.

### AutoModelForCausalLM

[[autodoc]] AutoModelForCausalLM

### TFAutoModelForCausalLM

[[autodoc]] TFAutoModelForCausalLM

### FlaxAutoModelForCausalLM

[[autodoc]] FlaxAutoModelForCausalLM

### AutoModelForMaskedLM

[[autodoc]] AutoModelForMaskedLM

### TFAutoModelForMaskedLM

[[autodoc]] TFAutoModelForMaskedLM

### FlaxAutoModelForMaskedLM

[[autodoc]] FlaxAutoModelForMaskedLM

### AutoModelForMaskGeneration

[[autodoc]] AutoModelForMaskGeneration

### TFAutoModelForMaskGeneration

[[autodoc]] TFAutoModelForMaskGeneration

### AutoModelForSeq2SeqLM

[[autodoc]] AutoModelForSeq2SeqLM

### TFAutoModelForSeq2SeqLM

[[autodoc]] TFAutoModelForSeq2SeqLM

### FlaxAutoModelForSeq2SeqLM

[[autodoc]] FlaxAutoModelForSeq2SeqLM

### AutoModelForSequenceClassification

[[autodoc]] AutoModelForSequenceClassification

### TFAutoModelForSequenceClassification

[[autodoc]] TFAutoModelForSequenceClassification

### FlaxAutoModelForSequenceClassification

[[autodoc]] FlaxAutoModelForSequenceClassification

### AutoModelForMultipleChoice

[[autodoc]] AutoModelForMultipleChoice

### TFAutoModelForMultipleChoice

[[autodoc]] TFAutoModelForMultipleChoice

### FlaxAutoModelForMultipleChoice

[[autodoc]] FlaxAutoModelForMultipleChoice

### AutoModelForNextSentencePrediction

[[autodoc]] AutoModelForNextSentencePrediction

### TFAutoModelForNextSentencePrediction

[[autodoc]] TFAutoModelForNextSentencePrediction

### FlaxAutoModelForNextSentencePrediction

[[autodoc]] FlaxAutoModelForNextSentencePrediction

### AutoModelForTokenClassification

[[autodoc]] AutoModelForTokenClassification

### TFAutoModelForTokenClassification

[[autodoc]] TFAutoModelForTokenClassification

### FlaxAutoModelForTokenClassification

[[autodoc]] FlaxAutoModelForTokenClassification

### AutoModelForQuestionAnswering

[[autodoc]] AutoModelForQuestionAnswering

### TFAutoModelForQuestionAnswering

[[autodoc]] TFAutoModelForQuestionAnswering

### FlaxAutoModelForQuestionAnswering

[[autodoc]] FlaxAutoModelForQuestionAnswering

### AutoModelForTextEncoding

[[autodoc]] AutoModelForTextEncoding

### TFAutoModelForTextEncoding

[[autodoc]] TFAutoModelForTextEncoding

## Computer vision

The following auto classes are available for the following computer vision tasks.

### AutoModelForDepthEstimation

[[autodoc]] AutoModelForDepthEstimation

### AutoModelForImageClassification

[[autodoc]] AutoModelForImageClassification

### TFAutoModelForImageClassification

[[autodoc]] TFAutoModelForImageClassification

### FlaxAutoModelForImageClassification

[[autodoc]] FlaxAutoModelForImageClassification

### AutoModelForVideoClassification

[[autodoc]] AutoModelForVideoClassification

### AutoModelForKeypointDetection

[[autodoc]] AutoModelForKeypointDetection

### AutoModelForMaskedImageModeling

[[autodoc]] AutoModelForMaskedImageModeling

### TFAutoModelForMaskedImageModeling

[[autodoc]] TFAutoModelForMaskedImageModeling

### AutoModelForObjectDetection

[[autodoc]] AutoModelForObjectDetection

### AutoModelForImageSegmentation

[[autodoc]] AutoModelForImageSegmentation

### AutoModelForImageToImage

[[autodoc]] AutoModelForImageToImage

### AutoModelForSemanticSegmentation

[[autodoc]] AutoModelForSemanticSegmentation

### TFAutoModelForSemanticSegmentation

[[autodoc]] TFAutoModelForSemanticSegmentation

### AutoModelForInstanceSegmentation

[[autodoc]] AutoModelForInstanceSegmentation

### AutoModelForUniversalSegmentation

[[autodoc]] AutoModelForUniversalSegmentation

### AutoModelForZeroShotImageClassification

[[autodoc]] AutoModelForZeroShotImageClassification

### TFAutoModelForZeroShotImageClassification

[[autodoc]] TFAutoModelForZeroShotImageClassification

### AutoModelForZeroShotObjectDetection

[[autodoc]] AutoModelForZeroShotObjectDetection

## Audio

The following auto classes are available for the following audio tasks.

### AutoModelForAudioClassification

[[autodoc]] AutoModelForAudioClassification

### AutoModelForAudioFrameClassification

[[autodoc]] TFAutoModelForAudioClassification

### TFAutoModelForAudioFrameClassification

[[autodoc]] AutoModelForAudioFrameClassification

### AutoModelForCTC

[[autodoc]] AutoModelForCTC

### AutoModelForSpeechSeq2Seq

[[autodoc]] AutoModelForSpeechSeq2Seq

### TFAutoModelForSpeechSeq2Seq

[[autodoc]] TFAutoModelForSpeechSeq2Seq

### FlaxAutoModelForSpeechSeq2Seq

[[autodoc]] FlaxAutoModelForSpeechSeq2Seq

### AutoModelForAudioXVector

[[autodoc]] AutoModelForAudioXVector

### AutoModelForTextToSpectrogram

[[autodoc]] AutoModelForTextToSpectrogram

### AutoModelForTextToWaveform

[[autodoc]] AutoModelForTextToWaveform

## Multimodal

The following auto classes are available for the following multimodal tasks.

### AutoModelForTableQuestionAnswering

[[autodoc]] AutoModelForTableQuestionAnswering

### TFAutoModelForTableQuestionAnswering

[[autodoc]] TFAutoModelForTableQuestionAnswering

### AutoModelForDocumentQuestionAnswering

[[autodoc]] AutoModelForDocumentQuestionAnswering

### TFAutoModelForDocumentQuestionAnswering

[[autodoc]] TFAutoModelForDocumentQuestionAnswering

### AutoModelForVisualQuestionAnswering

[[autodoc]] AutoModelForVisualQuestionAnswering

### AutoModelForVision2Seq

[[autodoc]] AutoModelForVision2Seq

### TFAutoModelForVision2Seq

[[autodoc]] TFAutoModelForVision2Seq

### FlaxAutoModelForVision2Seq

[[autodoc]] FlaxAutoModelForVision2Seq

### AutoModelForImageTextToText

[[autodoc]] AutoModelForImageTextToText