Text Classification
Transformers
Safetensors
English
modernbert
natural-language-inference
nli
fact-verification
fact-checking
cross-encoder
rag
evidence
Eval Results (legacy)
text-embeddings-inference
Instructions to use jithinpothireddy21/ease-delta-reader with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jithinpothireddy21/ease-delta-reader with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jithinpothireddy21/ease-delta-reader")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jithinpothireddy21/ease-delta-reader") model = AutoModelForSequenceClassification.from_pretrained("jithinpothireddy21/ease-delta-reader", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
11 days ago
-
Tokenizer files that load in transformers 4 and 5 and Transformers.js; card update
Verified signature818f10f -
EASE-Delta Reader: transformers-native claim-vs-evidence classifier
Verified signature3baf7c8