Instructions to use neuralsentry/vulnerabilityDetection-StarEncoder-Devign with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neuralsentry/vulnerabilityDetection-StarEncoder-Devign with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="neuralsentry/vulnerabilityDetection-StarEncoder-Devign")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("neuralsentry/vulnerabilityDetection-StarEncoder-Devign") model = AutoModelForSequenceClassification.from_pretrained("neuralsentry/vulnerabilityDetection-StarEncoder-Devign") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83eb5351816eeb759fd061a4e79ec07d3fc8ab3094cc0e77da2792cc2c704eac
- Size of remote file:
- 4.47 kB
- SHA256:
- 9d8cf85195d0904bd9bcd0f7e867c4bbc5b1e743b90986368a734048338bb15f
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