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Documentation Pass for Models (#2617)
* links in chinese_clip * links for clip model * add mod docs for flux and llava * module doc for MMDIT and MIMI * add docs for a few more modesl * mod docs for bert naser and beit * add module docs for convmixer colpali codegeex and chatglm * add another series of moddocs * add fastvit-llama2_c * module docs mamba -> mobileone * module docs from moondream-phi3 * mod docs for quantized and qwen * update to yi * fix long names * Update llama2_c.rs * Update llama2_c_weights.rs * Fix the link for mimi + tweaks --------- Co-authored-by: Laurent Mazare <laurent.mazare@gmail.com>
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//! EfficientViT (MSRA) inference implementation based on timm.
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//!
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//! See "EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention"
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//! https://arxiv.org/abs/2305.07027
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//! https://github.com/huggingface/pytorch-image-models/blob/main/timm/models/efficientvit_msra.py
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//! See ["EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention"](https://arxiv.org/abs/2305.07027)
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//!
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//! Based on implementation from [pytorch-image-models](https://github.com/huggingface/pytorch-image-models/blob/main/timm/models/efficientvit_msra.py)
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use candle::{Result, Tensor, D};
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use candle_nn::{
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