| # coding=utf-8 | |
| # Copyright 2023 Anonymous Authors of "A Watermark for Large Language Models" | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| from argparse import Namespace | |
| args = Namespace() | |
| arg_dict = { | |
| 'run_gradio': True, | |
| 'demo_public': False, | |
| 'model_name_or_path': 'bigscience/bloom', | |
| 'load_fp16' : False, | |
| 'prompt_max_length': None, | |
| 'max_new_tokens': 200, | |
| 'generation_seed': 123, | |
| 'use_sampling': True, | |
| 'n_beams': 1, | |
| 'sampling_temp': 0.7, | |
| 'use_gpu': True, | |
| 'seeding_scheme': 'simple_1', | |
| 'gamma': 0.5, | |
| 'delta': 2.0, | |
| 'normalizers': '', | |
| 'ignore_repeated_bigrams': False, | |
| 'detection_z_threshold': 4.0, | |
| 'select_green_tokens': True, | |
| 'skip_model_load': True, | |
| 'seed_separately': True, | |
| } | |
| args.__dict__.update(arg_dict) | |
| from demo_watermark import main | |
| main(args) | |