Text Classification
Transformers
PyTorch
Safetensors
xlm-roberta
formal or informal classification
text-embeddings-inference
Instructions to use s-nlp/xlmr_formality_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use s-nlp/xlmr_formality_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="s-nlp/xlmr_formality_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("s-nlp/xlmr_formality_classifier") model = AutoModelForSequenceClassification.from_pretrained("s-nlp/xlmr_formality_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
#2
by jjamnicki - opened
No description provided.
dardem changed pull request status to merged
@jjamnicki Thank you for your updates of README! Indeed, it is very useful and aligns with modern standards of HuggingFace.