from transformers import PretrainedConfig | |
import torch | |
class QBModelConfig(PretrainedConfig): | |
model_type = 'TFIDF-QA' | |
def __init__(self, **kwargs): | |
self.torch_dtype = torch.float32 | |
super().__init__( **kwargs) | |
self.torch_dtype = torch.float32 |
from transformers import PretrainedConfig | |
import torch | |
class QBModelConfig(PretrainedConfig): | |
model_type = 'TFIDF-QA' | |
def __init__(self, **kwargs): | |
self.torch_dtype = torch.float32 | |
super().__init__( **kwargs) | |
self.torch_dtype = torch.float32 |