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# coding=utf-8
# Copyright 2020-2023 The HuggingFace AutoTrain Authors
#
# 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.
# Lint as: python3
# pylint: enable=line-too-long
import os
os.environ["BITSANDBYTES_NOWELCOME"] = "1"
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
os.environ["TOKENIZERS_PARALLELISM"] = "false"
import warnings
try:
import torch._dynamo
torch._dynamo.config.suppress_errors = True
except ImportError:
pass
from autotrain.logging import Logger
warnings.filterwarnings("ignore", category=UserWarning, module="tensorflow")
warnings.filterwarnings("ignore", category=UserWarning, module="transformers")
warnings.filterwarnings("ignore", category=UserWarning, module="peft")
warnings.filterwarnings("ignore", category=UserWarning, module="accelerate")
warnings.filterwarnings("ignore", category=UserWarning, module="datasets")
warnings.filterwarnings("ignore", category=FutureWarning, module="accelerate")
warnings.filterwarnings("ignore", category=UserWarning, module="huggingface_hub")
logger = Logger().get_logger()
__version__ = "0.8.37.dev0"
def is_colab():
try:
import google.colab
return True
except ImportError:
return False
def is_unsloth_available():
try:
from unsloth import FastLanguageModel
return True
except Exception as e:
logger.warning("Unsloth not available, continuing without it")
logger.warning(e)
return False
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