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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from copenlu/citebert: direct link, hf CLI and curl.
- Browser
- Download file 717 kB
-
https://huggingface.co/copenlu/citebert/resolve/main/tokenizer.json
- Command line
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hf download hf://copenlu/citebert/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/copenlu/citebert/resolve/main/tokenizer.json
717 kB
File too large to display, you can check the raw version instead.