| license: apache-2.0 | |
| This is a fine-tuned BERT4patent model that is suitable for generating embeddings for patent texts. | |
| The resulting embeddings are suitable for a variety of downstream tasks, including classification, clustering, and retrieval. | |
| This model leverages domain-specific training following the mirror-bert approach to further capture the language in patent documents, providing high-quality | |
| representations for the analysis of patents. | |