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[Feature] support pool (#3827)
* support pool * update pooling * add pooler_config and check * update * support AutoWeightsLoader load weight * fix * update * delete print * update pre-commit * fix * fix xpu * fix ModelRegistry->model_registry * fix Copilot review * fix pooler.py * delete StepPooler * fix abstract * fix default_loader_v1 * fix Pre Commit * support torch qwen3 dense * add test and fix torch-qwen * fix * fix * adapter ci: * fix review * fix pooling_params.py * fix * fix tasks.py 2025 * fix print and logger * Modefy ModelRegistry and delete AutoWeightsLoader * fix logger * fix test_embedding * fix ci bug * ernie4_5 model_registry * fix test * support Qwen3-Embedding-0.6B tp=1 load * fix extra code * fix * delete fix vocab_size * delete prepare_params_dict * fix:
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@@ -18,7 +18,7 @@ Assuming you have a custom model class `MyModelForCasualLM` and a pretrained cla
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```python
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# File: fd_add_dummy_model/__init__.py or fd_add_dummy_model/register.py
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from fastdeploy.model_registry import ModelRegistry
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from fastdeploy.model_executor.models.model_base import ModelRegistry
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from my_custom_model import MyModelForCasualLM, MyPretrainedModel
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from fastdeploy.config import ErnieArchitectures
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