Instructions to use SIRIS-Lab/citation-parser-SELECT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SIRIS-Lab/citation-parser-SELECT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SIRIS-Lab/citation-parser-SELECT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SIRIS-Lab/citation-parser-SELECT") model = AutoModelForSequenceClassification.from_pretrained("SIRIS-Lab/citation-parser-SELECT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3df77ae0e82eb128b309a0a03a5c62acc60412643cc98a52e320bc134dbef14
- Size of remote file:
- 499 MB
- SHA256:
- bdebf28b0245fa5316946f2243cc8fae865aeb32e6ec218b18661d41651cb92e
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