Text Classification
Transformers
PyTorch
English
deberta-v2
Trained with AutoTrain
text-embeddings-inference
Instructions to use whispAI/ClaimBuster-DeBERTaV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whispAI/ClaimBuster-DeBERTaV2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="whispAI/ClaimBuster-DeBERTaV2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("whispAI/ClaimBuster-DeBERTaV2") model = AutoModelForSequenceClassification.from_pretrained("whispAI/ClaimBuster-DeBERTaV2") - Inference
- Notebooks
- Google Colab
- Kaggle