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.

Downloads last month
9
Safetensors
Model size
345M params
Tensor type
F32
·
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no library tag.