Text Classification
Transformers
PyTorch
JAX
roberta
code_x_glue_cc_defect_detection
code
security
vulnerability-detection
codebert
apache-2.0
Instructions to use mangsense/codebert_java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mangsense/codebert_java with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mangsense/codebert_java")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mangsense/codebert_java") model = AutoModelForSequenceClassification.from_pretrained("mangsense/codebert_java") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec88d83e3240f0ea946f36831191bf423adb588f2d99fa7c9f8f4af9c2f442da
- Size of remote file:
- 499 MB
- SHA256:
- 4b209dcc0f442c10881ed1daed99a62a7ecfaa29812fcd7e09bea32e6a85c044
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