add qwen2.5vl model

src/tokenizer/tokenizer.rs

@@ -0,0 +1,44 @@
+use anyhow::{Result, anyhow};
+use candle_core::{Device, Tensor};
+use tokenizers::Tokenizer;
+
+pub struct TokenizerModel {
+    tokenizer: Tokenizer,
+}
+
+impl TokenizerModel {
+    pub fn init(path: &str) -> Result<Self> {
+        let path = path.to_string();
+        assert!(
+            std::path::Path::new(&path).exists(),
+            "model path file not exists"
+        );
+        let tokenizer_file = path.clone() + "/tokenizer.json";
+        assert!(
+            std::path::Path::new(&tokenizer_file).exists(),
+            "tokenizer.json not exists in model path"
+        );
+        let tokenizer = Tokenizer::from_file(tokenizer_file)
+            .map_err(|e| anyhow!(format!("tokenizer from file error{}", e)))?;
+        Ok(Self { tokenizer })
+    }
+
+    pub fn text_encode(&self, text: String, device: &Device) -> Result<Tensor> {
+        let token_id = self
+            .tokenizer
+            .encode(text, true)
+            .map_err(|e| anyhow!(format!("tokenizer encode error: {}", e)))?
+            .get_ids()
+            .to_vec();
+        let token_tensor = Tensor::from_slice(&token_id, (1, token_id.len()), device)?;
+        Ok(token_tensor)
+    }
+
+    pub fn token_decode(&self, tokens: Vec<u32>) -> Result<String> {
+        let decode = self
+            .tokenizer
+            .decode(&tokens, true)
+            .map_err(|e| anyhow!(format!("tokenizer encode error{}", e)))?;
+        Ok(decode)
+    }
+}