Slot Filling for Biomedical Information Extraction
Paper • 2109.08564 • Published
How to use healx/biomedical-dpr-ctx-encoder with Transformers:
# Load model directly
from transformers import AutoTokenizer, DPRContextEncoder
tokenizer = AutoTokenizer.from_pretrained("healx/biomedical-dpr-ctx-encoder")
model = DPRContextEncoder.from_pretrained("healx/biomedical-dpr-ctx-encoder")YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
DPR context encoder for Biomedical slot filling see https://arxiv.org/abs/2109.08564 for details.
Load with:
from transformers import DPRContextEncoder, DPRContextEncoderTokenizerFast
ctx_encoder = DPRContextEncoder.from_pretrained('healx/biomedical-dpr-ctx-encoder')
ctx_tokenizer = DPRContextEncoderTokenizerFast.from_pretrained('facebook/dpr-ctx_encoder-single-nq-base')
# Load model directly from transformers import AutoTokenizer, DPRContextEncoder tokenizer = AutoTokenizer.from_pretrained("healx/biomedical-dpr-ctx-encoder") model = DPRContextEncoder.from_pretrained("healx/biomedical-dpr-ctx-encoder")