Instructions to use janbakker/classifier-wikiauto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use janbakker/classifier-wikiauto with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="janbakker/classifier-wikiauto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("janbakker/classifier-wikiauto") model = AutoModelForSequenceClassification.from_pretrained("janbakker/classifier-wikiauto") - Notebooks
- Google Colab
- Kaggle
Classifier (planning model)
This is the classifier pretrained on wiki-auto.
It belongs to the paper Beyond Sentence-level Text Simplification: Reproducibility Study of Context-Aware Document Simplification.
The doc_simp library should be used to interface with this model.
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