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# coding=utf-8
# Copyright 2023 Authors of "A Watermark for Large Language Models"
# available at https://arxiv.org/abs/2301.10226
#
# 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,
"model_name_or_path": "facebook/opt-125m",
# "model_name_or_path": "facebook/opt-1.3b",
# "model_name_or_path": "facebook/opt-2.7b",
"max_new_tokens": 200,
"use_sampling": True,
"sampling_temp": 0.7,
"use_gpu": True,
"seeding_scheme": "markov_1",
"gamma": 0.25,
"delta": 2.0,
"normalizers": "",
"ignore_repeated_bigrams": False,
}
args.__dict__.update(arg_dict)
print(args)
from demo_watermark import main
main(args)
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