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Running
on
Zero
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# 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.
__version__ = "0.11.1"
from .auto import (
AutoPeftModel,
AutoPeftModelForCausalLM,
AutoPeftModelForSequenceClassification,
AutoPeftModelForSeq2SeqLM,
AutoPeftModelForTokenClassification,
AutoPeftModelForQuestionAnswering,
AutoPeftModelForFeatureExtraction,
)
from .mapping import (
MODEL_TYPE_TO_PEFT_MODEL_MAPPING,
PEFT_TYPE_TO_CONFIG_MAPPING,
get_peft_config,
get_peft_model,
inject_adapter_in_model,
)
from .mixed_model import PeftMixedModel
from .peft_model import (
PeftModel,
PeftModelForCausalLM,
PeftModelForSeq2SeqLM,
PeftModelForSequenceClassification,
PeftModelForTokenClassification,
PeftModelForQuestionAnswering,
PeftModelForFeatureExtraction,
get_layer_status,
get_model_status,
)
from .tuners import (
AdaptionPromptConfig,
AdaptionPromptModel,
LoraConfig,
LoftQConfig,
LoraModel,
LoHaConfig,
LoHaModel,
LoKrConfig,
LoKrModel,
IA3Config,
IA3Model,
AdaLoraConfig,
AdaLoraModel,
BOFTConfig,
BOFTModel,
PrefixEncoder,
PrefixTuningConfig,
PromptEmbedding,
PromptEncoder,
PromptEncoderConfig,
PromptEncoderReparameterizationType,
PromptTuningConfig,
PromptTuningInit,
MultitaskPromptTuningConfig,
MultitaskPromptTuningInit,
OFTConfig,
OFTModel,
PolyConfig,
PolyModel,
LNTuningConfig,
LNTuningModel,
VeraConfig,
VeraModel,
)
from .utils import (
TRANSFORMERS_MODELS_TO_PREFIX_TUNING_POSTPROCESS_MAPPING,
PeftType,
TaskType,
bloom_model_postprocess_past_key_value,
get_peft_model_state_dict,
prepare_model_for_kbit_training,
replace_lora_weights_loftq,
set_peft_model_state_dict,
shift_tokens_right,
load_peft_weights,
cast_mixed_precision_params,
)
from .config import PeftConfig, PromptLearningConfig
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