Bert base chinese Table of Contents Model Details Uses Risks, Limitations and Biases Training Evaluation How to Get Started With the Model Model Details Model Description This model has been pre trained for Chinese, training and random input masking has been applied independently to word pieces (as in the original BERT paper). Developed by: Google Model Type: Fill Mask Language(s): Chinese License: Apache 2.0 Parent Model: See the BERT base uncased model for more information about the BERT base model. Model Sources GitHub repo : https://github.com/google research/bert/blob/master/multilingual.md Paper: BERT Uses Direct Use This model can be used for masked language modeling Risks, Limitations and Biases CONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propagate historical and current stereotypes. Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)). Training Training Procedure type vocab size: 2 vocab size: 21128 num hidden layers: 12 Training Data [More Information Needed] Evaluation Results [More Information Needed] How to Get Started W…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy