Add ColSmol embedding functionality and associated example

- Introduced a new `colsmol_ort` module for ColSmol embedding, including the `OrtColSmolEmbedder` struct with methods for embedding images, files, and queries.
- Added a new example in `colsmol.rs` demonstrating how to use the ColSmol embedder with command-line argument parsing.
- Updated the `mod.rs` file to include the new `colsmol_ort` module under the `embeddings/local` directory.
- Enhanced the `Idefics3ImageProcessor` with additional preprocessing capabilities for better integration with the ColSmol model.
- Implemented tests for the new embedding functionality to ensure reliability and correctness.

Author: akshayballal95

rust/examples/colsmol.rs

@@ -0,0 +1,56 @@
+use clap::{Parser, ValueEnum};
+
+#[cfg(feature = "ort")]
+use embed_anything::embeddings::local::colsmol_ort::{OrtColSmolEmbedder, ColSmolEmbed};
+
+
+
+#[derive(Parser, Debug, Clone, ValueEnum)]
+enum ModelType {
+    Ort,
+}
+
+#[derive(Parser, Debug)]
+#[command(author, version, about, long_about = None)]
+struct Args {
+    /// Choose model type: 'ort' or 'normal'
+    #[arg(short, long, default_value = "normal")]
+    model_type: ModelType,
+}
+
+fn main() -> Result<(), anyhow::Error> {
+    let args = Args::parse();
+
+    let colpali_model = match args.model_type {
+        ModelType::Ort => {
+            #[cfg(feature = "ort")]
+            {
+                Box::new(OrtColSmolEmbedder::new(
+                    "onnx-community/colSmol-256M-ONNX",
+                    None,
+                    Some("onnx"),
+                )?) as Box<dyn ColSmolEmbed>
+            }
+            #[cfg(not(feature = "ort"))]
+            {
+                panic!("ORT is not supported without ORT");
+            }
+        }
+     
+    };
+    // ... rest of the code ...
+
+    let image_path = "test.jpg";
+    let image = image::open(image_path)?;
+    let embed_data = colpali_model.embed_image(image_path.into(), None)?;
+    println!("{:?}", embed_data);
+    // let file_path = "test_files/colpali.pdf";
+    // let batch_size = 4;
+    // let embed_data = colpali_model.embed_file(file_path.into(), batch_size)?;
+    // println!("{:?}", embed_data.len());
+
+    // let prompt = "What is attention?";
+    // let query_embeddings = colpali_model.embed_query(prompt)?;
+    // println!("{:?}", query_embeddings.len());
+    Ok(())
+}