Instructions to use RJ3vans/SignTagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RJ3vans/SignTagger with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="RJ3vans/SignTagger")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("RJ3vans/SignTagger") model = AutoModelForTokenClassification.from_pretrained("RJ3vans/SignTagger") - Notebooks
- Google Colab
- Kaggle
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This model is used to tag the tokens in an input sequence with information about the different signs of syntactic complexity that they contain. For more details, please see Chapters 2 and 3 of my thesis (
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It was derived using code written by Dr. Le An Ha at the University of Wolverhampton.
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This model is used to tag the tokens in an input sequence with information about the different signs of syntactic complexity that they contain. For more details, please see Chapters 2 and 3 of my thesis (https://rj3vans.github.io/Evans2020_SentenceSimplificationForTextProcessing.pdf.
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It was derived using code written by Dr. Le An Ha at the University of Wolverhampton.
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