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>

candle-transformers/src/models/t5.rs

@@ -1,5 +1,19 @@
-// T5 Text Model
-// https://github.com/huggingface/transformers/blob/main/src/transformers/models/t5/modeling_t5.py
+//! T5 model implementation.
+//!
+//! T5 (Text-to-Text Transfer Transformer) is a unified text-to-text transformer model.
+//! This implementation follows the original model architecture.
+//!
+//! Key characteristics:
+//! - Text-to-text framework
+//! - Relative positional embeddings
+//! - T5-specific layer normalization
+//! - Encoder-decoder architecture
+//! - Support for sequence-to-sequence tasks
+//!
+//! References:
+//! - [T5 Paper](https://arxiv.org/abs/1910.10683)
+//! - [HuggingFace T5](https://huggingface.co/docs/transformers/model_doc/t5)
+//! - [GH Model](https://github.com/huggingface/transformers/blob/main/src/transformers/models/t5/modeling_t5.py)
 
 use crate::models::with_tracing::Embedding;
 use candle::{DType, Device, Module, Result, Tensor, D};