| RetriBERT | |
| This model is in maintenance mode only, so we won't accept any new PRs changing its code. | |
| If you run into any issues running this model, please reinstall the last version that supported this model: v4.30.0. | |
| You can do so by running the following command: pip install -U transformers==4.30.0. | |
| Overview | |
| The RetriBERT model was proposed in the blog post Explain Anything Like I'm Five: A Model for Open Domain Long Form | |
| Question Answering. RetriBERT is a small model that uses either a single or | |
| pair of BERT encoders with lower-dimension projection for dense semantic indexing of text. | |
| This model was contributed by yjernite. Code to train and use the model can be | |
| found here. | |
| RetriBertConfig | |
| [[autodoc]] RetriBertConfig | |
| RetriBertTokenizer | |
| [[autodoc]] RetriBertTokenizer | |
| RetriBertTokenizerFast | |
| [[autodoc]] RetriBertTokenizerFast | |
| RetriBertModel | |
| [[autodoc]] RetriBertModel | |
| - forward |