fix long names

candle-transformers/src/models/bert.rs

@@ -1,3 +1,9 @@
+//! BERT (Bidirectional Encoder Representations from Transformers)
+//!
+//! See "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding", Devlin et al. 2018
+//! - [Arxiv](https://arxiv.org/abs/1810.04805)
+//! - [Github](https://github.com/google-research/bert)
+//!
 use super::with_tracing::{layer_norm, linear, LayerNorm, Linear};
 use candle::{DType, Device, Result, Tensor};
 use candle_nn::{embedding, Embedding, Module, VarBuilder};

candle-transformers/src/models/moondream.rs

@@ -1,4 +1,4 @@
-//! MoonDream Model provides vision-to-text capabilities based on Microsoft's Phi architecture
+//! MoonDream Model vision-to-text
 //!
 //! The model consists of:
 //! - Vision encoder using a ViT-style architecture

candle-transformers/src/models/persimmon.rs

@@ -1,6 +1,6 @@
-//! Persimmon Model, a transformer language model for efficient inference and general-purpose tasks
+//! Persimmon Model
 //!
-//! See Persimmon model details at:
+//! A transformer language model for efficient inference and general-purpose tasks. See Persimmon model details at:
 //! - [Hugging Face](https://huggingface.co/adept/persimmon-8b-base)
 //!
 //! The model uses a standard transformer architecture with:

candle-transformers/src/models/segment_anything/mod.rs

@@ -1,3 +1,11 @@
+//! Segment Anything Model (SAM)
+//!
+//! SAM is an architecture for image segmentation, capable of segmenting any object
+//! in an image based on prompts like points or boxes.
+//!
+//! - [GH Link](https://github.com/facebookresearch/segment-anything)
+//! - [Paper](https://arxiv.org/abs/2304.02643)
+//!
 pub use crate::models::with_tracing::Linear;
 use candle::{Result, Tensor};
 use candle_nn::{Module, VarBuilder};