Text Classification
Transformers
Safetensors
English
deberta-v2
scientific-claim-verification
scifact
evidence-aware-verification
retrieval-aware-training
text-embeddings-inference
Instructions to use rishhh/verisci-claim-verifier-dense-adapted-seed123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rishhh/verisci-claim-verifier-dense-adapted-seed123 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rishhh/verisci-claim-verifier-dense-adapted-seed123")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rishhh/verisci-claim-verifier-dense-adapted-seed123") model = AutoModelForSequenceClassification.from_pretrained("rishhh/verisci-claim-verifier-dense-adapted-seed123", device_map="auto") - Notebooks
- Google Colab
- Kaggle