Text Classification
Transformers
TensorBoard
Safetensors
English
deberta-v2
cross-encoder
sequence-classification
text-embeddings-inference
Instructions to use xpmir/cross-encoder-DeBERTav3-Hinge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xpmir/cross-encoder-DeBERTav3-Hinge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xpmir/cross-encoder-DeBERTav3-Hinge")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xpmir/cross-encoder-DeBERTav3-Hinge") model = AutoModelForSequenceClassification.from_pretrained("xpmir/cross-encoder-DeBERTav3-Hinge") - Notebooks
- Google Colab
- Kaggle