Update convert.py

convert.py

@@ -12,6 +12,10 @@ from huggingface_hub import CommitInfo, CommitOperationAdd, Discussion, HfApi, h
 from huggingface_hub.file_download import repo_folder_name
 from safetensors.torch import _find_shared_tensors, _is_complete, load_file, save_file
 
+from transformers.utils import logging
+
+logging.set_verbosity_info()
+logger = logging.get_logger("transformers")
 
 COMMIT_DESCRIPTION = """
 This is an automated PR created with https://huggingface.co/spaces/safetensors/convert
@@ -292,22 +296,35 @@ def convert(
                 new_pr = pr
                 raise AlreadyExists(f"Model {model_id} already has an open PR check out {url}")
             elif library_name == "transformers":
+                logger.info(f"Detected library: {library_name} for model: {model_id}, starting conversion.")
 
                 discard_names = get_discard_names(model_id, revision=revision, folder=folder, token=api.token)
+                logger.debug(f"Discard names for {model_id}: {discard_names}")
+
                 if "pytorch_model.bin" in filenames:
+                    logger.info(f"Found 'pytorch_model.bin' for {model_id}, proceeding with single file conversion.")
                     operations, errors = convert_single(
                         model_id, revision=revision, folder=folder, token=api.token, discard_names=discard_names
                     )
+                    if errors:
+                        logger.error(f"Errors occurred during single file conversion for {model_id}: {errors}")
                 elif "pytorch_model.bin.index.json" in filenames:
+                    logger.info(f"Found 'pytorch_model.bin.index.json' for {model_id}, proceeding with multi file conversion.")
                     operations, errors = convert_multi(
                         model_id, revision=revision, folder=folder, token=api.token, discard_names=discard_names
                     )
+                    if errors:
+                        logger.error(f"Errors occurred during multi file conversion for {model_id}: {errors}")
                 else:
+                    logger.error(f"Model {model_id} doesn't seem to be a valid pytorch model. Cannot convert")
                     raise RuntimeError(f"Model {model_id} doesn't seem to be a valid pytorch model. Cannot convert")
             else:
+                logger.info(f"No specific library matched for {model_id}, using generic conversion method.")
                 operations, errors = convert_generic(
                     model_id, revision=revision, folder=folder, filenames=filenames, token=api.token
                 )
+                if errors:
+                    logger.error(f"Errors occurred during generic conversion for {model_id}: {errors}")
 
             if operations:
                 new_pr = api.create_commit(