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KRISHNAPURI
/
q-trust-codebert

Text Classification
Transformers
ONNX
Safetensors
roberta
code
cryptography
post-quantum
static-analysis
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use KRISHNAPURI/q-trust-codebert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use KRISHNAPURI/q-trust-codebert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="KRISHNAPURI/q-trust-codebert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("KRISHNAPURI/q-trust-codebert")
    model = AutoModelForSequenceClassification.from_pretrained("KRISHNAPURI/q-trust-codebert", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
q-trust-codebert / gnn
1.94 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
KRISHNAPURI's picture
KRISHNAPURI
add gnn/model_ddp_v3.pt
7849f52 verified 13 days ago
  • model_ddp_v3.pt
    976 kB
    xet
    add gnn/model_ddp_v3.pt 13 days ago
  • model_gpu_v3.pt
    967 kB
    xet
    add gnn/model_gpu_v3.pt 13 days ago