Text Classification
Transformers
PyTorch
JAX
Safetensors
roberta
Text Classification
Transformers
PyTorch
JAX
MSR
English
Inference Endpoints
text-embeddings-inference
Instructions to use starmage520/Coderbert_finetuned_detect_vulnerability_on_MSR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use starmage520/Coderbert_finetuned_detect_vulnerability_on_MSR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="starmage520/Coderbert_finetuned_detect_vulnerability_on_MSR")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("starmage520/Coderbert_finetuned_detect_vulnerability_on_MSR") model = AutoModelForSequenceClassification.from_pretrained("starmage520/Coderbert_finetuned_detect_vulnerability_on_MSR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d17f5eb5b5f11c6b1654e5d7d20e07eaaf5405d63865e40b71836ebe85c9e01
- Size of remote file:
- 499 MB
- SHA256:
- 13c9658fd76007e6f56353cfa9d6caa44f8fa737922844acd5779f3d50225963
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