from user_model.configuration import UserModelConfig | |
from transformers import PreTrainedModel | |
import tensorflow as tf | |
class UserModel(PreTrainedModel): | |
config_class = UserModelConfig | |
def __init__(self, config): | |
super().__init__(config) | |
self.model = tf.saved_model.load('tf_retrieval_user_model') | |
def forward(self, user_id): | |
return self.model(user_id) |