Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use mcanoglu/microsoft-codebert-base-finetuned-defect-cwe-group-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mcanoglu/microsoft-codebert-base-finetuned-defect-cwe-group-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mcanoglu/microsoft-codebert-base-finetuned-defect-cwe-group-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mcanoglu/microsoft-codebert-base-finetuned-defect-cwe-group-detection") model = AutoModelForSequenceClassification.from_pretrained("mcanoglu/microsoft-codebert-base-finetuned-defect-cwe-group-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1de72c3bb8b97b35500eaeb1a0f7cb4bd9b101fb08c6a4323e9bdbe29cb83e18
- Size of remote file:
- 499 MB
- SHA256:
- d4acc6b83f0a54ed83998846d9cf68ad47e2d3367b7b1fa7ca6a8528c9c89e3d
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