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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("copenlu/citebert") model = AutoModel.from_pretrained("copenlu/citebert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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SciBERT 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**.57f73df
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