# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("christofid/dabert-multi")
model = AutoModelForMaskedLM.from_pretrained("christofid/dabert-multi")Quick Links
dapBERT
DapBERT-multi is a BERT-like model trained based on the domain adaptive pretraining method (Gururangan et al.) for the patent domain. Bert-base-multilingual-cased is used as base for the training. The training dataset used consists of a corpus of 10,000,000 patent abstracts that have been filed between 1998-2020 in US and European patent offices as well as the World Intellectual Property Organization.
- Downloads last month
- 7
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="christofid/dabert-multi")