Text Classification
Transformers
Safetensors
German
English
xlm-roberta
legal
terms-of-service
unfair-clauses
claudette
Eval Results (legacy)
text-embeddings-inference
Instructions to use vaschko/xlm-roberta-base-unfair-clauses with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vaschko/xlm-roberta-base-unfair-clauses with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vaschko/xlm-roberta-base-unfair-clauses")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vaschko/xlm-roberta-base-unfair-clauses") model = AutoModelForSequenceClassification.from_pretrained("vaschko/xlm-roberta-base-unfair-clauses", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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