Spaces:
Running
on
Zero
Running
on
Zero
Update convert.py
Browse files- convert.py +24 -33
convert.py
CHANGED
@@ -19,24 +19,12 @@ COMMIT_MESSAGE = " This PR adds weights in safetensors format"
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device = "cpu"
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def convert_pt_to_safetensors(model_path, safe_path):
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# For model conversion, it's often safer. If it fails, you can revert to False.
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try:
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model = torch.load(model_path, map_location="cpu", weights_only=True)
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except Exception:
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# Fallback for models that can't be loaded with weights_only
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model = torch.load(model_path, map_location="cpu")
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# If the loaded object is a state_dict, use it directly.
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# If it's a full model object, get its state_dict.
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if not isinstance(model, dict):
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model = model.state_dict()
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metadata = {"format":"pt"}
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save_file(model, safe_path, metadata)
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def convert_single(model_id: str, filename: str, folder: str, progress: Any, token: str):
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progress(0, desc=
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local_file = os.path.join(model_id, filename)
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local_dir = os.path.dirname(local_file)
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@@ -71,34 +59,37 @@ def convert(token: str, model_id: str, filename: str, your_model_id: str, progre
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new_pr = None
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try:
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converted_model = convert_single(model_id, filename, folder, progress, token)
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# Create the correct filename for the repository (e.g., "model.safetensors")
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# os.path.splitext('path/to/model.pth') -> ('path/to/model', '.pth')
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# We take the first part and add the new extension.
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safetensors_filename = os.path.splitext(filename)[0] + ".safetensors"
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new_pr = api.upload_file(
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path_or_fileobj=converted_model,
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path_in_repo=safetensors_filename, # <--
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repo_id=your_model_id,
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repo_type="model",
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token=token,
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commit_message=pr_title,
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commit_description=COMMIT_MESSAGE.format(your_model_id),
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create_pr=True
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)
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pr_number = new_pr.split("%2F")[-1].split("/")[0]
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link = f"Pr created at: {'https://huggingface.co/' + os.path.join(your_model_id, 'discussions', pr_number)}"
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progress(1, desc="Done")
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except Exception as e:
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raise gr.exceptions.Error(str(e))
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finally:
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device = "cpu"
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def convert_pt_to_safetensors(model_path, safe_path):
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model = torch.load(model_path, map_location="cpu", weights_only=False)
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metadata = {"format":"pt"}
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save_file(model, safe_path, metadata)
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def convert_single(model_id: str, filename: str, folder: str, progress: Any, token: str):
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progress(0, desc="Downloading model")
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local_file = os.path.join(model_id, filename)
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local_dir = os.path.dirname(local_file)
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new_pr = None
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try:
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converted_model = convert_single(model_id, filename, folder, progress, token)
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# --- START OF THE REQUESTED CHANGE ---
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# Create the correct destination filename by replacing the extension
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safetensors_filename = os.path.splitext(filename)[0] + ".safetensors"
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# --- END OF THE REQUESTED CHANGE ---
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progress(0.7, desc="Uploading to Hub")
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# Use the corrected filename in path_in_repo
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new_pr = api.upload_file(
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path_or_fileobj=converted_model,
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path_in_repo=safetensors_filename, # <-- THE ONLY MODIFIED ARGUMENT
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repo_id=your_model_id,
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repo_type="model",
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token=token,
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commit_message=pr_title,
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commit_description=COMMIT_MESSAGE.format(your_model_id),
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create_pr=True
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)
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pr_number = new_pr.split("%2F")[-1].split("/")[0]
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link = f"Pr created at: {'https://huggingface.co/' + os.path.join(your_model_id, 'discussions', pr_number)}"
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progress(1, desc="Done")
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except Exception as e:
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raise gr.exceptions.Error(str(e))
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finally:
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shutil.rmtree(folder)
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finish_message(link)
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return link
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@spaces.GPU()
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def finish_message(link: str):
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return print(link)
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