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<! |
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with |
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the License. You may obtain a copy of the License at |
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http://www.apache.org/licenses/LICENSE-2.0 |
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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on |
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an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the |
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specific language governing permissions and limitations under the License. |
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# Exporting 🤗 Transformers models to ONNX |
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🤗 Transformers provides a `transformers.onnx` package that enables you to |
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convert model checkpoints to an ONNX graph by leveraging configuration objects. |
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See the [guide](../serialization) on exporting 🤗 Transformers models for more |
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details. |
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## ONNX Configurations |
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We provide three abstract classes that you should inherit from, depending on the |
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type of model architecture you wish to export: |
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* Encoder-based models inherit from [`~onnx.config.OnnxConfig`] |
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* Decoder-based models inherit from [`~onnx.config.OnnxConfigWithPast`] |
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* Encoder-decoder models inherit from [`~onnx.config.OnnxSeq2SeqConfigWithPast`] |
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### OnnxConfig |
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[[autodoc]] onnx.config.OnnxConfig |
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### OnnxConfigWithPast |
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[[autodoc]] onnx.config.OnnxConfigWithPast |
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### OnnxSeq2SeqConfigWithPast |
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[[autodoc]] onnx.config.OnnxSeq2SeqConfigWithPast |
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## ONNX Features |
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Each ONNX configuration is associated with a set of _features_ that enable you |
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to export models for different types of topologies or tasks. |
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### FeaturesManager |
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[[autodoc]] onnx.features.FeaturesManager |
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