Text Classification
Transformers
Safetensors
PyTorch
English
deberta-v2
question-answering
semantic-similarity
quora
duplicate-detection
Eval Results (legacy)
text-embeddings-inference
Instructions to use fatihburakkaragoz/quora-cross-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fatihburakkaragoz/quora-cross-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fatihburakkaragoz/quora-cross-encoder")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fatihburakkaragoz/quora-cross-encoder") model = AutoModelForSequenceClassification.from_pretrained("fatihburakkaragoz/quora-cross-encoder") - Notebooks
- Google Colab
- Kaggle
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