Cast path to string before running the build_model method.

PiperOrigin-RevId: 728419475

Author: haozha111

ai_edge_torch/generative/examples/deepseek/verify.py

@@ -49,7 +49,7 @@ def main(_):
   )
   reauthored_checkpoint = pathlib.Path(cached_config_file).parent
   logging.info("Building the reauthored model from: %s", reauthored_checkpoint)
-  reauthored_model = deepseek.build_model(reauthored_checkpoint)
+  reauthored_model = deepseek.build_model(str(reauthored_checkpoint))
 
   logging.info("Loading the tokenizer from: %s", checkpoint)
   tokenizer = transformers.AutoTokenizer.from_pretrained(checkpoint)

ai_edge_torch/generative/examples/openelm/verify.py

@@ -50,7 +50,7 @@ def main(_):
   )
   reauthored_checkpoint = pathlib.Path(cached_config_file).parent
   logging.info("Building the reauthored model from: %s", reauthored_checkpoint)
-  reauthored_model = openelm.build_model(reauthored_checkpoint)
+  reauthored_model = openelm.build_model(str(reauthored_checkpoint))
 
   tokenizer_checkpoint = "meta-llama/Llama-2-7b-hf"
   logging.info("Loading the tokenizer from: %s", tokenizer_checkpoint)

ai_edge_torch/generative/examples/paligemma/verify.py

@@ -70,7 +70,7 @@ def main(_):
     cached_config_file = transformers.utils.cached_file(
         checkpoint, transformers.utils.CONFIG_NAME
     )
-    reauthored_checkpoint = pathlib.Path(cached_config_file).parent
+    reauthored_checkpoint = str(pathlib.Path(cached_config_file).parent)
   else:
     checkpoint = kagglehub.model_download(_CHECKPOINT[_VERSION.value])
     reauthored_checkpoint = checkpoint

ai_edge_torch/generative/examples/qwen_vl/verify.py

@@ -67,7 +67,7 @@ def main(_):
   )
   reauthored_checkpoint = pathlib.Path(cached_config_file).parent
   logging.info("Building the reauthored model from: %s", reauthored_checkpoint)
-  reauthored_model = qwen_vl.build_model(reauthored_checkpoint)
+  reauthored_model = qwen_vl.build_model(str(reauthored_checkpoint))
 
   logging.info("Loading the processor from: %s", checkpoint)
   processor = transformers.AutoProcessor.from_pretrained(checkpoint)

ai_edge_torch/generative/examples/tiny_llama/verify.py

@@ -51,7 +51,7 @@ def main(_):
   )
   reauthored_checkpoint = pathlib.Path(cached_config_file).parent
   logging.info("Building the reauthored model from: %s", reauthored_checkpoint)
-  reauthored_model = tiny_llama.build_model(reauthored_checkpoint)
+  reauthored_model = tiny_llama.build_model(str(reauthored_checkpoint))
 
   logging.info("Loading the tokenizer from: %s", checkpoint)
   tokenizer = transformers.AutoTokenizer.from_pretrained(checkpoint)