Text Classification
Transformers
Safetensors
English
deberta-v2
fact-verification
fever
natural-language-inference
deberta-v3
sequence-pair-classification
Eval Results (legacy)
text-embeddings-inference
Instructions to use thealper2/deberta-v3-base-fever with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thealper2/deberta-v3-base-fever with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thealper2/deberta-v3-base-fever")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thealper2/deberta-v3-base-fever") model = AutoModelForSequenceClassification.from_pretrained("thealper2/deberta-v3-base-fever", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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