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33 lines
1.5 KiB
Markdown
33 lines
1.5 KiB
Markdown
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
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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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⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
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rendered properly in your Markdown viewer.
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# DeepSpeed
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[DeepSpeed](https://github.com/deepspeedai/DeepSpeed), powered by Zero Redundancy Optimizer (ZeRO), is an optimization library for training and fitting very large models onto a GPU. It is available in several ZeRO stages, where each stage progressively saves more GPU memory by partitioning the optimizer state, gradients, parameters, and enabling offloading to a CPU or NVMe. DeepSpeed is integrated with the [`Trainer`] class and most of the setup is automatically taken care of for you.
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However, if you want to use DeepSpeed without the [`Trainer`], Transformers provides a [`HfDeepSpeedConfig`] class.
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<Tip>
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Learn more about using DeepSpeed with [`Trainer`] in the [DeepSpeed](../deepspeed) guide.
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</Tip>
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## HfDeepSpeedConfig
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[[autodoc]] integrations.HfDeepSpeedConfig
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- all
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