# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("copenlu/citebert")
model = AutoModel.from_pretrained("copenlu/citebert")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
This is the SciBERT pretrained language model further fine-tuned on masked language modeling and cite-worthiness detection on the CiteWorth dataset. Note that this model should be used for further fine-tuning on downstream scientific document understanding tasks.
- Downloads last month
- 19
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="copenlu/citebert")