dvilasuero/alpaca-bad-instruction-detector

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 46079114807
• CO2 Emissions (in grams): 0.4102

Validation Metrics

• Loss: 0.305
• Accuracy: 0.891
• Macro F1: 0.887
• Micro F1: 0.891
• Weighted F1: 0.891
• Macro Precision: 0.890
• Micro Precision: 0.891
• Weighted Precision: 0.891
• Macro Recall: 0.885
• Micro Recall: 0.891
• Weighted Recall: 0.891

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/dvilasuero/autotrain-alpaca-bs-detector-46079114807

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("dvilasuero/autotrain-alpaca-bs-detector-46079114807", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("dvilasuero/autotrain-alpaca-bs-detector-46079114807", use_auth_token=True)

inputs = tokenizer("I love AutoTrain", return_tensors="pt")

outputs = model(**inputs)