add method to know which model type are we wroking with

src/main/java/ai/nets/samj/install/EfficientViTSamEnvManager.java

@@ -157,7 +157,7 @@ public static EfficientViTSamEnvManager create(String path, String modelType) {
 	 * @param path
 	 * 	the path where the corresponding micromamba shuold be installed
 	 * @param modelType
-	 * 	each of the possible model types (sizes) that EfficientiTSAM can have. They are the keys of
+	 * 	each of the possible model types (sizes) that EfficientViTSAM can have. They are the keys of
 	 * 	the following map {@link #EFFICIENTVITSAM_BYTE_SIZES_MAP}
 	 * @param consumer
 	 * 	an specific consumer where info about the installation is going to be communicated
@@ -193,6 +193,15 @@ public static EfficientViTSamEnvManager create(Consumer<String> consumer) {
 		return create(DEFAULT_DIR, null, consumer);
 	}
 
+	/**
+	 * 
+	 * @return which of the possible EfficientViTSAM this is. The possible variants are the 
+	 * 	keys of the following map: {@link #EFFICIENTVITSAM_BYTE_SIZES_MAP}
+	 */
+	public String getModelType() {
+		return this.modelType;
+	}
+
 	/**
 	 * Check whether the Python environment with the corresponding packages needed to run EfficientSAM
 	 * has been installed or not. The environment folder should be named {@value #EVITSAM_ENV_NAME} 

src/main/java/ai/nets/samj/install/Sam2EnvManager.java

@@ -200,6 +200,14 @@ public static Sam2EnvManager create(Consumer<String> consumer) {
 		return create(DEFAULT_DIR, null, consumer);
 	}
 
+	/**
+	 * 
+	 * @return which of the possible SAM2 this is. The possible variants are the keys of the following map: {@link #SAM2_BYTE_SIZES_MAP}
+	 */
+	public String getModelType() {
+		return this.modelType;
+	}
+
 	/**
 	 * Check whether the Python environment with the corresponding packages needed to run EfficientSAM
 	 * has been installed or not. The environment folder should be named {@value #SAM2_ENV_NAME}