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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 195 Bytes
65be213 | 1 2 3 4 5 6 7 8 | {
"epoch": 10.0,
"train_loss": 0.4179859999087242,
"train_runtime": 3050.636,
"train_samples": 24774,
"train_samples_per_second": 81.209,
"train_steps_per_second": 1.806
} |