Text Classification
Transformers
Safetensors
deberta-v2
Trained with AutoTrain
text-embeddings-inference
Instructions to use AeglosAI/aeglos-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AeglosAI/aeglos-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AeglosAI/aeglos-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AeglosAI/aeglos-v1") model = AutoModelForSequenceClassification.from_pretrained("AeglosAI/aeglos-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
tags:
- autotrain
- text-classification
widget:
- text: I love AutoTrain
datasets:
- beloiual/autotrain-data-llm-prompt-injection-classifier-v2
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 0.22951629757881165
f1: 0.9444444444444444
precision: 0.9577464788732394
recall: 0.9315068493150684
auc: 0.9905251141552511
accuracy: 0.9585492227979274