Instructions to use s-nlp/mdeberta-base-formality-ranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use s-nlp/mdeberta-base-formality-ranker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="s-nlp/mdeberta-base-formality-ranker")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("s-nlp/mdeberta-base-formality-ranker") model = AutoModelForSequenceClassification.from_pretrained("s-nlp/mdeberta-base-formality-ranker") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb454b3331e30e18112b11c380e1aa4be4ff4cb211515c0ce52dc28c479e2155
- Size of remote file:
- 3.58 kB
- SHA256:
- 63cc548d4216455bdeebbe29451c2d18b5116c7c111de1acf10be6469db63169
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