HPT / projector /configuration_projector.py
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from transformers import PretrainedConfig
class ProjectorConfig(PretrainedConfig):
model_type = 'projector'
_auto_class = 'AutoConfig'
def __init__(
self,
visual_hidden_size=4096,
llm_hidden_size=4096,
depth=2,
hidden_act='gelu',
bias=True,
**kwargs,
):
self.visual_hidden_size = visual_hidden_size
self.llm_hidden_size = llm_hidden_size
self.depth = depth
self.hidden_act = hidden_act
self.bias = bias
super().__init__(**kwargs)