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on
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Running
on
Zero
# flake8: noqa | |
# There's no way to ignore "F401 '...' imported but unused" warnings in this | |
# module, but to preserve other warnings. So, don't check this module at all | |
# coding=utf-8 | |
# Copyright 2023-present the HuggingFace Inc. team. | |
# | |
# 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 .config import PeftConfig, PeftType, PromptLearningConfig, TaskType | |
from .loftq_utils import replace_lora_weights_loftq | |
from .peft_types import PeftType, TaskType | |
from .other import ( | |
TRANSFORMERS_MODELS_TO_PREFIX_TUNING_POSTPROCESS_MAPPING, | |
TRANSFORMERS_MODELS_TO_LORA_TARGET_MODULES_MAPPING, | |
TRANSFORMERS_MODELS_TO_ADALORA_TARGET_MODULES_MAPPING, | |
TRANSFORMERS_MODELS_TO_IA3_TARGET_MODULES_MAPPING, | |
TRANSFORMERS_MODELS_TO_IA3_FEEDFORWARD_MODULES_MAPPING, | |
TRANSFORMERS_MODELS_TO_LNTUNING_TARGET_MODULES_MAPPING, | |
TRANSFORMERS_MODELS_TO_VERA_TARGET_MODULES_MAPPING, | |
CONFIG_NAME, | |
WEIGHTS_NAME, | |
SAFETENSORS_WEIGHTS_NAME, | |
INCLUDE_LINEAR_LAYERS_SHORTHAND, | |
_set_trainable, | |
bloom_model_postprocess_past_key_value, | |
prepare_model_for_kbit_training, | |
shift_tokens_right, | |
transpose, | |
_get_batch_size, | |
_get_submodules, | |
_set_adapter, | |
_freeze_adapter, | |
ModulesToSaveWrapper, | |
_prepare_prompt_learning_config, | |
_is_valid_match, | |
infer_device, | |
get_auto_gptq_quant_linear, | |
get_quantization_config, | |
id_tensor_storage, | |
cast_mixed_precision_params, | |
) | |
from .save_and_load import get_peft_model_state_dict, set_peft_model_state_dict, load_peft_weights | |