Text Classification
Transformers
Safetensors
PyTorch
English
deberta-v2
question-answering
deberta
deberta-v3
natural-questions
kaggle
tensorflow2-qa
nq
Eval Results (legacy)
Instructions to use mohamedsa1/deberta-v3-nq-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohamedsa1/deberta-v3-nq-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mohamedsa1/deberta-v3-nq-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mohamedsa1/deberta-v3-nq-classification") model = AutoModelForSequenceClassification.from_pretrained("mohamedsa1/deberta-v3-nq-classification") - Notebooks
- Google Colab
- Kaggle
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