Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use khanhtran0111/codebert-java-vul4j-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khanhtran0111/codebert-java-vul4j-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="khanhtran0111/codebert-java-vul4j-ft")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("khanhtran0111/codebert-java-vul4j-ft") model = AutoModelForSequenceClassification.from_pretrained("khanhtran0111/codebert-java-vul4j-ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6942ade549fa482d094714686c59471c5c9d1d7efee7aac8b7237a66b361dd7e
- Size of remote file:
- 499 MB
- SHA256:
- f875b956a229bcca89f8ce39783a2de75a1bafb6597a7cde876b30b86699ec09
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