* Add initial support for modeling_xlm encoder on NPU
* Add EmbeddingModel class to keep the same usage with bce and npu fp16 linear convert
* Optimize currently implementation to support EmbeddingModel.encode API and convert other torch modules to NPU
* Add related example and documents
* add support for loading funasr model
* add initial support for paraformer-encoder
* add npu ops impl
* add encoder-decoder npu pipeline
* move paraformer encoders prefix 30 layers to npu and keep the rest layers on cpu