metadata
tags:
- autotrain
- text-classification
language:
- de
widget:
- text: I love AutoTrain
datasets:
- gvd22/autotrain-data-promptinjection-detection
co2_eq_emissions:
emissions: 0.2635543848872785
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 98935147272
- CO2 Emissions (in grams): 0.2636
Validation Metrics
- Loss: 0.017
- Accuracy: 0.993
- Precision: 1.000
- Recall: 0.991
- AUC: 1.000
- F1: 0.995
Usage
You can use cURL to access this model:
$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/gvd22/autotrain-promptinjection-detection-98935147272
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("gvd22/autotrain-promptinjection-detection-98935147272", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("gvd22/autotrain-promptinjection-detection-98935147272", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)