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
- Xet hash:
- 76f94295cc032cb64a0288fcb23ea92361492a98c6125c16783b7ea0f4743da4
- Size of remote file:
- 440 MB
- SHA256:
- e07658523db4d992c7f4fc4ddf889249af742982bfc428ae87bf73751aca0f1f
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