Instructions to use s-nlp/lewit-informal-tagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use s-nlp/lewit-informal-tagger with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="s-nlp/lewit-informal-tagger")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("s-nlp/lewit-informal-tagger") model = AutoModelForTokenClassification.from_pretrained("s-nlp/lewit-informal-tagger") - Notebooks
- Google Colab
- Kaggle
This is an auxilary model for content preserving formality transfer model LEWIP-informal. This particular model classifies the tokens from the source formal text and label them as keep or delete/replace. These labels are further used by LEWIP-informal to generate content preserving informal paraphrases.
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