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config.json

@@ -43,9 +43,9 @@
     "torch_dtype": "bfloat16",
     "vocab_size": 102400
   },
-  "model_type": "janus",
+  "model_type": "multi_modality",
   "torch_dtype": "float16",
-  "transformers_version": "4.33.1",
+  "transformers_version": "4.36.0",
   "vision_config": {
     "cls": "CLIPVisionTower",
     "model_type": "vision",
@@ -57,7 +57,7 @@
     }
   },
   "architectures": [
-    "JanusForConditionalGeneration"
+    "MultiModalityCausalLM"
   ],
   "use_cache": true,
   "webgpu_compatible": true,

test_model.js

@@ -0,0 +1,58 @@
+// Janus Model Test Script
+// Test if the model can be loaded successfully
+
+import { AutoProcessor, MultiModalityCausalLM } from "@huggingface/transformers";
+
+async function testJanusModel() {
+    console.log("Testing Janus Model Loading...");
+
+    const modelPath =  + str(model_dir) + ;
+
+    try {
+        console.log("Loading processor...");
+        const processor = await AutoProcessor.from_pretrained(modelPath);
+        console.log("Processor loaded successfully");
+
+        console.log("Loading model...");
+        const model = await MultiModalityCausalLM.from_pretrained(modelPath, {
+            device: "webgpu",
+            dtype: "q4f16"
+        });
+        console.log("Model loaded successfully");
+
+        console.log("
+SUCCESS! Model initialization complete");
+        console.log("Model is ready for inference");
+
+        return { model, processor };
+
+    } catch (error) {
+        console.error("Model loading failed:");
+        console.error(error);
+
+        // Try CPU fallback
+        console.log("
+Trying CPU fallback...");
+        try {
+            const processor = await AutoProcessor.from_pretrained(modelPath);
+            const model = await MultiModalityCausalLM.from_pretrained(modelPath, {
+                device: "cpu"
+            });
+            console.log("CPU fallback successful");
+            return { model, processor };
+        } catch (cpuError) {
+            console.error("CPU fallback also failed:");
+            console.error(cpuError);
+            throw cpuError;
+        }
+    }
+}
+
+// Run the test
+testJanusModel()
+    .then(() => console.log("
+Test completed successfully"))
+    .catch(error => console.error("
+Test failed:", error));
+
+export { testJanusModel };