Instructions to use kaesve/BioBERT_patent_reference_extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kaesve/BioBERT_patent_reference_extraction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kaesve/BioBERT_patent_reference_extraction")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("kaesve/BioBERT_patent_reference_extraction") model = AutoModelForMaskedLM.from_pretrained("kaesve/BioBERT_patent_reference_extraction") - Notebooks
- Google Colab
- Kaggle
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# Reference extraction in patents
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This repository contains a finetuned BioBERT model that can extract references to scientific literature from patents.
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See https://github.com/kaesve/patent-citation-extraction and https://arxiv.org/abs/2101.01039 for more information.
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