How to use from the
Use from the
Transformers library
# 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")
Quick Links

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Reference extraction in patents

This repository contains a finetuned BioBERT model that can extract references to scientific literature from patents.

See https://github.com/kaesve/patent-citation-extraction and https://arxiv.org/abs/2101.01039 for more information.

Downloads last month
13
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Paper for kaesve/BioBERT_patent_reference_extraction