Some checks failed
Self-hosted runner (nightly-past-ci-caller) / Get number (push) Has been cancelled
Self-hosted runner (nightly-past-ci-caller) / TensorFlow 2.11 (push) Has been cancelled
Self-hosted runner (nightly-past-ci-caller) / TensorFlow 2.10 (push) Has been cancelled
Self-hosted runner (nightly-past-ci-caller) / TensorFlow 2.9 (push) Has been cancelled
Self-hosted runner (nightly-past-ci-caller) / TensorFlow 2.8 (push) Has been cancelled
Self-hosted runner (nightly-past-ci-caller) / TensorFlow 2.7 (push) Has been cancelled
Self-hosted runner (nightly-past-ci-caller) / TensorFlow 2.6 (push) Has been cancelled
Self-hosted runner (nightly-past-ci-caller) / TensorFlow 2.5 (push) Has been cancelled
Self-hosted runner (benchmark) / Benchmark (aws-g5-4xlarge-cache) (push) Has been cancelled
Build documentation / build (push) Has been cancelled
Build documentation / build_other_lang (push) Has been cancelled
CodeQL Security Analysis / CodeQL Analysis (push) Has been cancelled
New model PR merged notification / Notify new model (push) Has been cancelled
PR CI / pr-ci (push) Has been cancelled
Slow tests on important models (on Push - A10) / Get all modified files (push) Has been cancelled
Secret Leaks / trufflehog (push) Has been cancelled
Update Transformers metadata / build_and_package (push) Has been cancelled
Slow tests on important models (on Push - A10) / Model CI (push) Has been cancelled
Check Tiny Models / Check tiny models (push) Has been cancelled
Self-hosted runner (Intel Gaudi3 scheduled CI caller) / Model CI (push) Has been cancelled
Self-hosted runner (Intel Gaudi3 scheduled CI caller) / Pipeline CI (push) Has been cancelled
Self-hosted runner (Intel Gaudi3 scheduled CI caller) / Example CI (push) Has been cancelled
Self-hosted runner (Intel Gaudi3 scheduled CI caller) / DeepSpeed CI (push) Has been cancelled
Self-hosted runner (Intel Gaudi3 scheduled CI caller) / Trainer/FSDP CI (push) Has been cancelled
Nvidia CI - Flash Attn / Setup (push) Has been cancelled
Nvidia CI - Flash Attn / Model CI (push) Has been cancelled
Nvidia CI / Setup (push) Has been cancelled
Nvidia CI / Model CI (push) Has been cancelled
Nvidia CI / Torch pipeline CI (push) Has been cancelled
Nvidia CI / Example CI (push) Has been cancelled
Nvidia CI / Trainer/FSDP CI (push) Has been cancelled
Nvidia CI / DeepSpeed CI (push) Has been cancelled
Nvidia CI / Quantization CI (push) Has been cancelled
Nvidia CI / Kernels CI (push) Has been cancelled
Doctests / Setup (push) Has been cancelled
Doctests / Call doctest jobs (push) Has been cancelled
Doctests / Send results to webhook (push) Has been cancelled
Extras Smoke Test / Get supported Python versions (push) Has been cancelled
Extras Smoke Test / Test extras on Python ${{ matrix.python-version }} (push) Has been cancelled
Extras Smoke Test / Check Slack token availability (push) Has been cancelled
Extras Smoke Test / Notify failures to Slack (push) Has been cancelled
Self-hosted runner (AMD scheduled CI caller) / Trigger Scheduled AMD CI (push) Has been cancelled
Stale Bot / Close Stale Issues (push) Has been cancelled
244 lines
6.5 KiB
Markdown
244 lines
6.5 KiB
Markdown
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
|
||
|
||
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
|
||
the License. You may obtain a copy of the License at
|
||
|
||
http://www.apache.org/licenses/LICENSE-2.0
|
||
|
||
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
|
||
an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
|
||
specific language governing permissions and limitations under the License.
|
||
|
||
⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
|
||
rendered properly in your Markdown viewer.
|
||
|
||
-->
|
||
|
||
# Auto Classes
|
||
|
||
多くの場合、`from_pretrained()`メソッドに与えられた事前学習済みモデルの名前やパスから、使用したいアーキテクチャを推測することができます。自動クラスはこの仕事をあなたに代わって行うためにここにありますので、事前学習済みの重み/設定/語彙への名前/パスを与えると自動的に関連するモデルを取得できます。
|
||
|
||
[`AutoConfig`]、[`AutoModel`]、[`AutoTokenizer`]のいずれかをインスタンス化すると、関連するアーキテクチャのクラスが直接作成されます。例えば、
|
||
|
||
```python
|
||
model = AutoModel.from_pretrained("google-bert/bert-base-cased")
|
||
```
|
||
|
||
これは[`BertModel`]のインスタンスであるモデルを作成します。
|
||
|
||
各タスクごと、そして各バックエンド(PyTorch、TensorFlow、またはFlax)ごとに`AutoModel`のクラスが存在します。
|
||
|
||
## 自動クラスの拡張
|
||
|
||
それぞれの自動クラスには、カスタムクラスで拡張するためのメソッドがあります。例えば、`NewModel`というモデルのカスタムクラスを定義した場合、`NewModelConfig`を確保しておけばこのようにして自動クラスに追加することができます:
|
||
|
||
```python
|
||
from transformers import AutoConfig, AutoModel
|
||
|
||
AutoConfig.register("new-model", NewModelConfig)
|
||
AutoModel.register(NewModelConfig, NewModel)
|
||
```
|
||
|
||
その後、通常どおりauto classesを使用することができるようになります!
|
||
|
||
<Tip warning={true}>
|
||
|
||
あなたの`NewModelConfig`が[`~transformers.PreTrainedConfig`]のサブクラスである場合、その`model_type`属性がコンフィグを登録するときに使用するキー(ここでは`"new-model"`)と同じに設定されていることを確認してください。
|
||
|
||
同様に、あなたの`NewModel`が[`PreTrainedModel`]のサブクラスである場合、その`config_class`属性がモデルを登録する際に使用するクラス(ここでは`NewModelConfig`)と同じに設定されていることを確認してください。
|
||
|
||
</Tip>
|
||
|
||
## AutoConfig
|
||
|
||
[[autodoc]] AutoConfig
|
||
|
||
## AutoTokenizer
|
||
|
||
[[autodoc]] AutoTokenizer
|
||
|
||
## AutoFeatureExtractor
|
||
|
||
[[autodoc]] AutoFeatureExtractor
|
||
|
||
## AutoImageProcessor
|
||
|
||
[[autodoc]] AutoImageProcessor
|
||
|
||
## AutoProcessor
|
||
|
||
[[autodoc]] AutoProcessor
|
||
|
||
## Generic model classes
|
||
|
||
以下の自動クラスは、特定のヘッドを持たないベースモデルクラスをインスタンス化するために利用可能です。
|
||
|
||
### AutoModel
|
||
|
||
[[autodoc]] AutoModel
|
||
|
||
## Generic pretraining classes
|
||
|
||
以下の自動クラスは、事前学習ヘッドを持つモデルをインスタンス化するために利用可能です。
|
||
|
||
### AutoModelForPreTraining
|
||
|
||
[[autodoc]] AutoModelForPreTraining
|
||
|
||
## Natural Language Processing
|
||
|
||
以下の自動クラスは、次の自然言語処理タスクに利用可能です。
|
||
|
||
### AutoModelForCausalLM
|
||
|
||
[[autodoc]] AutoModelForCausalLM
|
||
|
||
### AutoModelForMaskedLM
|
||
|
||
[[autodoc]] AutoModelForMaskedLM
|
||
|
||
|
||
### AutoModelForMaskGeneration
|
||
|
||
[[autodoc]] AutoModelForMaskGeneration
|
||
|
||
### AutoModelForSeq2SeqLM
|
||
|
||
[[autodoc]] AutoModelForSeq2SeqLM
|
||
|
||
### AutoModelForSequenceClassification
|
||
|
||
[[autodoc]] AutoModelForSequenceClassification
|
||
|
||
### AutoModelForMultipleChoice
|
||
|
||
[[autodoc]] AutoModelForMultipleChoice
|
||
|
||
### AutoModelForNextSentencePrediction
|
||
|
||
[[autodoc]] AutoModelForNextSentencePrediction
|
||
|
||
### AutoModelForTokenClassification
|
||
|
||
[[autodoc]] AutoModelForTokenClassification
|
||
|
||
### AutoModelForQuestionAnswering
|
||
|
||
[[autodoc]] AutoModelForQuestionAnswering
|
||
|
||
### AutoModelForTextEncoding
|
||
|
||
[[autodoc]] AutoModelForTextEncoding
|
||
|
||
## Computer vision
|
||
|
||
以下の自動クラスは、次のコンピュータービジョンタスクに利用可能です。
|
||
|
||
### AutoModelForDepthEstimation
|
||
|
||
[[autodoc]] AutoModelForDepthEstimation
|
||
|
||
### AutoModelForImageClassification
|
||
|
||
[[autodoc]] AutoModelForImageClassification
|
||
|
||
### AutoModelForVideoClassification
|
||
|
||
[[autodoc]] AutoModelForVideoClassification
|
||
|
||
### AutoModelForMaskedImageModeling
|
||
|
||
[[autodoc]] AutoModelForMaskedImageModeling
|
||
|
||
### AutoModelForObjectDetection
|
||
|
||
[[autodoc]] AutoModelForObjectDetection
|
||
|
||
### AutoModelForImageSegmentation
|
||
|
||
[[autodoc]] AutoModelForImageSegmentation
|
||
|
||
### AutoModelForImageToImage
|
||
|
||
[[autodoc]] AutoModelForImageToImage
|
||
|
||
### AutoModelForSemanticSegmentation
|
||
|
||
[[autodoc]] AutoModelForSemanticSegmentation
|
||
|
||
### AutoModelForInstanceSegmentation
|
||
|
||
[[autodoc]] AutoModelForInstanceSegmentation
|
||
|
||
### AutoModelForUniversalSegmentation
|
||
|
||
[[autodoc]] AutoModelForUniversalSegmentation
|
||
|
||
### AutoModelForZeroShotImageClassification
|
||
|
||
[[autodoc]] AutoModelForZeroShotImageClassification
|
||
|
||
### AutoModelForZeroShotObjectDetection
|
||
|
||
[[autodoc]] AutoModelForZeroShotObjectDetection
|
||
|
||
## Audio
|
||
|
||
以下の自動クラスは、次の音声タスクに利用可能です。
|
||
|
||
### AutoModelForAudioClassification
|
||
|
||
[[autodoc]] AutoModelForAudioClassification
|
||
|
||
### AutoModelForAudioFrameClassification
|
||
|
||
[[autodoc]] AutoModelForAudioFrameClassification
|
||
|
||
### AutoModelForCTC
|
||
|
||
[[autodoc]] AutoModelForCTC
|
||
|
||
### AutoModelForSpeechSeq2Seq
|
||
|
||
[[autodoc]] AutoModelForSpeechSeq2Seq
|
||
|
||
### AutoModelForAudioXVector
|
||
|
||
[[autodoc]] AutoModelForAudioXVector
|
||
|
||
### AutoModelForTextToSpectrogram
|
||
|
||
[[autodoc]] AutoModelForTextToSpectrogram
|
||
|
||
### AutoModelForTextToWaveform
|
||
|
||
[[autodoc]] AutoModelForTextToWaveform
|
||
|
||
## Multimodal
|
||
|
||
以下の自動クラスは、次のマルチモーダルタスクに利用可能です。
|
||
|
||
### AutoModelForTableQuestionAnswering
|
||
|
||
[[autodoc]] AutoModelForTableQuestionAnswering
|
||
|
||
### AutoModelForDocumentQuestionAnswering
|
||
|
||
[[autodoc]] AutoModelForDocumentQuestionAnswering
|
||
|
||
### AutoModelForVisualQuestionAnswering
|
||
|
||
[[autodoc]] AutoModelForVisualQuestionAnswering
|
||
|
||
|
||
### AutoModelForImageTextToText
|
||
|
||
[[autodoc]] AutoModelForImageTextToText
|
||
|
||
## Time Series
|
||
|
||
### AutoModelForTimeSeriesPrediction
|
||
|
||
[[autodoc]] AutoModelForTimeSeriesPrediction
|
||
|