Text Classification
Transformers
PyTorch
Safetensors
English
roberta
formality
text-embeddings-inference
Instructions to use s-nlp/roberta-base-formality-ranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use s-nlp/roberta-base-formality-ranker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="s-nlp/roberta-base-formality-ranker")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("s-nlp/roberta-base-formality-ranker") model = AutoModelForSequenceClassification.from_pretrained("s-nlp/roberta-base-formality-ranker") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
add paper link 4b7ec38
Adding `safetensors` variant of this model (#1) dac5c4a
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