Load your custom configuration attributes into the model: | |
from transformers import DistilBertModel | |
my_config = DistilBertConfig.from_pretrained("./your_model_save_path/config.json") | |
model = DistilBertModel(my_config) | |
This creates a model with random values instead of pretrained weights. |