Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[tokenizer] Recover accidentally deleted file #3311

Merged
merged 1 commit into from
Jul 9, 2024
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Original file line number Diff line number Diff line change
@@ -0,0 +1,64 @@
#!/usr/bin/env python
#
# Copyright 2024 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file
# except in compliance with the License. A copy of the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "LICENSE.txt" file accompanying this file. This file is distributed on an "AS IS"
# BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, express or implied. See the License for
# the specific language governing permissions and limitations under the License.
import logging
import os
import sys

from huggingface_hub import HfApi

sys.path.append(os.path.dirname(os.path.realpath(__file__)))

from djl_converter.arg_parser import converter_args


def main():
logging.basicConfig(stream=sys.stdout,
format="%(message)s",
level=logging.INFO)
args = converter_args()

output_dir = args.output_dir
if output_dir == ".":
output_dir = f"model/{args.model_id.split('/')[-1]}"

if not os.path.exists(output_dir):
os.makedirs(output_dir)

if os.listdir(output_dir):
logging.error(f"output directory: {output_dir} is not empty.")
return

api = HfApi()
model_info = api.model_info(args.model_id,
revision=args.revision,
token=args.token)

from djl_converter.huggingface_models import HuggingfaceModels, SUPPORTED_TASKS

task, arch = HuggingfaceModels.to_supported_task(model_info.config)
converter = SUPPORTED_TASKS[task]

try:
result, reason, _ = converter.save_model(model_info, args, output_dir,
False)
if result:
logging.info(f"Convert model {model_info.modelId} finished.")
else:
logging.error(f"{model_info.modelId}: {reason}")
except Exception as e:
logging.warning(f"Failed to convert model: {model_info.modelId}.")
logging.warning(e, exc_info=True)


if __name__ == "__main__":
main()
Loading