Instructions to use copenlu/citebert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use copenlu/citebert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="copenlu/citebert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("copenlu/citebert") model = AutoModel.from_pretrained("copenlu/citebert") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse filesSciBERT pretrained language model which was further fine-tuned on masked language modeling and citation detection on the [CiteWorth](https://github.com/copenlu/cite-worth) dataset. Note that this is the language model, suitable for **fine-tuning on downstream scientific tasks**.