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MoritzLaurer
/
DeBERTa-v3-base-mnli-fever-anli

Zero-Shot Classification
Transformers
PyTorch
Safetensors
English
deberta-v2
text-classification
Eval Results (legacy)
Model card Files Files and versions
xet
Community
16

Instructions to use MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli")
    model = AutoModelForSequenceClassification.from_pretrained("MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli", device_map="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

VORTEXRAG: 7-Layer RAG — Causal Drift Filtering + Context Poison Guard [paper + code + demo]

#16 opened 2 months ago by
vigneshwar234

License Conflict: MIT vs CC BY-NC 4.0

1
#15 opened about 1 year ago by
qiuqiu666

Potential Inconsistencies Model and Datasets License

#13 opened about 1 year ago by
yueyangchen

Add evaluation results on the default config of multi_nli

#4 opened almost 4 years ago by
autoevaluator

Add evaluation results on the plain_text config of anli

#2 opened almost 4 years ago by
autoevaluator
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