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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download gitattributes from mangsense/codebert_java: direct link, hf CLI and curl.
- Browser
- Download file 391 Bytes
-
https://huggingface.co/mangsense/codebert_java/resolve/411d58a54f145e96651b21ef15f2959efa25ae44/gitattributes
- Command line
-
hf download hf://mangsense/codebert_java@411d58a54f145e96651b21ef15f2959efa25ae44/gitattributes
-
curl -L -o gitattributes https://huggingface.co/mangsense/codebert_java/resolve/411d58a54f145e96651b21ef15f2959efa25ae44/gitattributes
391 Bytes
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