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update docs (#3243)
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Jintao-Huang authored Feb 24, 2025
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4 changes: 4 additions & 0 deletions docs/source/Instruction/推理和部署.md
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Expand Up @@ -349,3 +349,7 @@ for chunk_list in gen:
print()
print(metric.compute())
```
我们也提供了更多部署的demo:
- 多LoRA部署与调用: 参考[这里](https://github.com/modelscope/ms-swift/tree/main/examples/deploy/lora)
- Base模型的部署与调用: 参考[这里](https://github.com/modelscope/ms-swift/tree/main/examples/deploy/client/llm/base)
- 更多模型类型: 我们提供了[bert](https://github.com/modelscope/ms-swift/tree/main/examples/deploy/bert)[reward_model](https://github.com/modelscope/ms-swift/tree/main/examples/deploy/reward_model)的部署脚本。
6 changes: 6 additions & 0 deletions docs/source_en/Instruction/Inference-and-deployment.md
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Expand Up @@ -348,3 +348,9 @@ for chunk_list in gen:
print()
print(metric.compute())
```

We also provide more deployment demos:

- Multiple LoRA deployment and invocation: Refer to [this link](https://github.com/modelscope/ms-swift/tree/main/examples/deploy/lora).
- Deployment and invocation of the Base model: Refer to [this link](https://github.com/modelscope/ms-swift/tree/main/examples/deploy/client/llm/base).
- More model types: We provide deployment scripts for [bert](https://github.com/modelscope/ms-swift/tree/main/examples/deploy/bert) and [reward_model](https://github.com/modelscope/ms-swift/tree/main/examples/deploy/reward_model).

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