53 lines
1.3 KiB
Python
53 lines
1.3 KiB
Python
import importlib
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from collections import OrderedDict
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from transformers.models.auto import auto_factory, configuration_auto
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class _LazyAutoMapping(auto_factory._LazyAutoMapping):
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def _load_attr_from_module(self, model_type, attr):
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module_name = auto_factory.model_type_to_module_name(model_type)
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if module_name not in self._modules:
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self._modules[module_name] = importlib.import_module(
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f".{module_name}", "custom_models"
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)
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return auto_factory.getattribute_from_module(self._modules[module_name], attr)
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MODEL_MAPPING_NAMES = OrderedDict(
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[
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("gpt2", "GPT2Model"),
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]
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)
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MODEL_FOR_CAUSAL_LM_MAPPING_NAMES = OrderedDict(
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[
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("gpt2", "GPT2LMHeadModel"),
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]
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)
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MODEL_MAPPING = _LazyAutoMapping(
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configuration_auto.CONFIG_MAPPING_NAMES, MODEL_MAPPING_NAMES
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)
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MODEL_FOR_CAUSAL_LM_MAPPING = _LazyAutoMapping(
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configuration_auto.CONFIG_MAPPING_NAMES, MODEL_FOR_CAUSAL_LM_MAPPING_NAMES
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)
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class AutoModel(auto_factory._BaseAutoModelClass):
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_model_mapping = MODEL_MAPPING
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AutoModel = auto_factory.auto_class_update(AutoModel)
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class AutoModelForCausalLM(auto_factory._BaseAutoModelClass):
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_model_mapping = MODEL_FOR_CAUSAL_LM_MAPPING
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AutoModelForCausalLM = auto_factory.auto_class_update(AutoModelForCausalLM)
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