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:
- 1a2f2dda5b458f826ae644a96cdb1352e628c98ef2c41e8149ba9b47c6869e76
- Size of remote file:
- 499 MB
- SHA256:
- e5a29dca5d7654dc05527d544c377e62d35e36fb15f141ae6ba00e8a2a6a1574
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