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deepset
/
deberta-v3-base-injection

Text Classification
Transformers
PyTorch
Safetensors
English
German
deberta-v2
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community
10

Instructions to use deepset/deberta-v3-base-injection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use deepset/deberta-v3-base-injection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="deepset/deberta-v3-base-injection")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("deepset/deberta-v3-base-injection")
    model = AutoModelForSequenceClassification.from_pretrained("deepset/deberta-v3-base-injection", device_map="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
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  • Code of Conduct
  • Hub documentation

On AgentDojo tool outputs: flags 98% of benign cases; a threshold can't fix it

#10 opened 4 days ago by
optionalrudra

Attach License File

#9 opened almost 2 years ago by
mstaneja

Applying MIT license to the repository

#7 opened over 2 years ago by
shantanukshire

Model is failing on prompts with special characters.

1
#6 opened over 2 years ago by
sourabh89

Dberta Model failing for few examples

2
#4 opened about 3 years ago by
Prajwal789
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