doc update

ferritin-onnx-models/src/models/esm2/mod.rs

@@ -8,18 +8,6 @@
 //! * ESM2_T12_35M - medium 12-layer protein language model
 //! * ESM2_T30_150M - large 30-layer protein language model
 //!
-//! # Example
-//! ```no_run
-//! use anyhow::Result;
-//! use ferritin_onnx_models::ESM2;
-//!
-//! let tokenizer = ESM2::load_tokenizer()?;
-//! let text = "MLKLRV";
-//! let encoding = tokenizer.encode(text, false)?;
-//! let tokens = encoding.get_tokens();
-//! assert_eq!(tokens.len(), 6);
-//! assert_eq!(tokens, &["M", "L", "K", "L", "R", "V"]);
-//! ```
 
 use anyhow::{anyhow, Result};
 use candle_hf_hub::api::sync::Api;

ferritin-onnx-models/src/models/ligandmpnn/mod.rs

@@ -5,14 +5,6 @@
 //!
 //! The models are loaded from the Hugging Face model hub and executed using ONNX Runtime.
 //!
-//! # Examples
-//! ```no_run
-//! use ferritin_core::AtomCollection;
-//! use ferritin_onnx_models::LigandMPNN;
-//! let model = LigandMPNN::new().unwrap();
-//! let atom_collection = AtomCollection::new();
-//! let logits = model.run_model(atom_collection, 10, 0.1).unwrap();
-//! ```
 //!
 use crate::{ndarray_to_tensor_f32, tensor_to_ndarray_f32, tensor_to_ndarray_i64};
 use anyhow::Result;