Instructions to use SIRIS-Lab/citation-parser-ENTITY with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SIRIS-Lab/citation-parser-ENTITY with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="SIRIS-Lab/citation-parser-ENTITY")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("SIRIS-Lab/citation-parser-ENTITY") model = AutoModelForTokenClassification.from_pretrained("SIRIS-Lab/citation-parser-ENTITY", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0040b521d4941eaa11ded8c7bbed7e3dbad2dcf4007d3f71995dcd9ff60b64e0
- Size of remote file:
- 496 MB
- SHA256:
- 1d984efcd20560094ffa9fc6426f9777cf2d4508ee365d3539e02d52cfe28971
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