Instructions to use RJ3vans/CCVspanTagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RJ3vans/CCVspanTagger with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="RJ3vans/CCVspanTagger")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("RJ3vans/CCVspanTagger") model = AutoModelForTokenClassification.from_pretrained("RJ3vans/CCVspanTagger") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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Try the test sentence:
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The woman said "my name is Sarah [and] I live in London."
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The model should tag the tokens in the sentence with information about whether or not they are contained within a compound clause. If you find the model useful, please cite my thesis which presents the dataset used for finetuning:
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Try the test sentence:
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<i>The woman said "my name is Sarah [and] I live in London."</i>
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The model should tag the tokens in the sentence with information about whether or not they are contained within a compound clause. If you find the model useful, please cite my thesis which presents the dataset used for finetuning:
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