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starmage520
/
Coderbert_finetuned_detect_vulnerability_on_MSR

Text Classification
Transformers
PyTorch
JAX
Safetensors
roberta
Text Classification
Transformers
PyTorch
JAX
MSR
English
Inference Endpoints
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use starmage520/Coderbert_finetuned_detect_vulnerability_on_MSR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use starmage520/Coderbert_finetuned_detect_vulnerability_on_MSR with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="starmage520/Coderbert_finetuned_detect_vulnerability_on_MSR")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("starmage520/Coderbert_finetuned_detect_vulnerability_on_MSR")
    model = AutoModelForSequenceClassification.from_pretrained("starmage520/Coderbert_finetuned_detect_vulnerability_on_MSR")
  • Notebooks
  • Google Colab
  • Kaggle
Coderbert_finetuned_detect_vulnerability_on_MSR
1.04 GB
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  • 2 contributors
History: 6 commits
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starmage520
Update README.md
f7a3905 over 2 years ago
  • .gitattributes
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    .gitattributes over 2 years ago
  • README.md
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  • config.json
    762 Bytes
    init over 2 years ago
  • flax_model.msgpack
    499 MB
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  • merges.txt
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  • model.safetensors
    499 MB
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  • msr.csv
    37.5 MB
    xet
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  • pytorch_model.bin
    4.54 kB
    xet
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  • special_tokens_map.json
    958 Bytes
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  • tokenizer.json
    2.11 MB
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  • tokenizer_config.json
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  • vocab.json
    798 kB
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