Text Classification
Transformers
ONNX
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-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jithinpothireddy21/ease-delta-reader-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jithinpothireddy21/ease-delta-reader-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jithinpothireddy21/ease-delta-reader-base") model = AutoModelForSequenceClassification.from_pretrained("jithinpothireddy21/ease-delta-reader-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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