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jithinpothireddy21
/
ease-delta-reader-base

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
Model card Files Files and versions
xet
Community

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
ease-delta-reader-base / onnx
750 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
jithinpothireddy21's picture
jithinpothireddy21
ONNX weights (fp32, and int8 for browsers) for onnxruntime and Transformers.js
d035cfd verified 18 days ago
  • model.onnx
    599 MB
    xet
    ONNX weights (fp32, and int8 for browsers) for onnxruntime and Transformers.js 18 days ago
  • model_quantized.onnx
    151 MB
    xet
    ONNX weights (fp32, and int8 for browsers) for onnxruntime and Transformers.js 18 days ago