* Remove model with optimize_model=False in NPU verified models tables, and remove related example
* Remove experimental in run optimized model section title
* Unify model table order & example cmd
* Move embedding example to separate folder & update quickstart example link
* Add Quickstart reference in main NPU readme
* Small fix
* Small fix
* Move save/load examples under NPU/HF-Transformers-AutoModels
* Add low-bit and polish arguments for LLM Python examples
* Small fix
* Add low-bit and polish arguments for Multi-Model examples
* Polish argument for Embedding models
* Polish argument for LLM CPP examples
* Add low-bit and polish argument for Save-Load examples
* Add accuracy tuning tips for examples
* Update NPU qucikstart accuracy tuning with low-bit optimizations
* Add save/load section to qucikstart
* Update CPP example sample output to EN
* Add installation regarding cmake for CPP examples
* Small fix
* Small fix
* Small fix
* Small fix
* Small fix
* Small fix
* Unify max prompt length to 512
* Change recommended low-bit for Qwen2.5-3B-Instruct to asym_int4
* Update based on comments
* Small fix
* Add initial NPU quickstart (c++ part unfinished)
* Small update
* Update based on comments
* Update main readme
* Remove LLaMA description
* Small fix
* Small fix
* Remove subsection link in main README
* Small fix
* Update based on comments
* Small fix
* TOC update and other small fixes
* Update for Chinese main readme
* Update based on comments and other small fixes
* Change order
* 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
