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Support XModelWithHeads in pipelines #80

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Nov 13, 2020
Merged

Support XModelWithHeads in pipelines #80

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4 changes: 4 additions & 0 deletions src/transformers/pipelines.py
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Original file line number Diff line number Diff line change
Expand Up @@ -29,6 +29,8 @@

import numpy as np

from transformers.modeling_auto import MODEL_WITH_HEADS_MAPPING

from .configuration_auto import AutoConfig
from .configuration_utils import PretrainedConfig
from .data import SquadExample, squad_convert_examples_to_features
Expand Down Expand Up @@ -614,6 +616,8 @@ def check_model_type(self, supported_models: Union[List[str], dict]):
"""
if not isinstance(supported_models, list): # Create from a model mapping
supported_models = [item[1].__name__ for item in supported_models.items()]
for item in MODEL_WITH_HEADS_MAPPING.values():
supported_models.append(item.__name__)
if self.model.__class__.__name__ not in supported_models:
raise PipelineException(
self.task,
Expand Down