True-Regularization+Finetune+Dynamic-Eval
MobvoiWilliams CollegeLanguage modeling
Developed by Mobvoi,Williams College in 2019, True-Regularization+Finetune+Dynamic-Eval is a language modeling model with 7000000.0 parameters.
About True-Regularization+Finetune+Dynamic-Eval
Recurrent Neural Networks (RNNs) have dominated language modeling because of their superior performance over traditional N-gram based models. In many applications, a large Recurrent Neural Network language model (RNNLM) or an ensemble of several RNNL
Details
- Provider
- Mobvoi,Williams College
- Task
- Language modeling
- Parameters
- 7000000.0
- Released
- 2019-04-08
- Open weights
- No