README.md

metadata

tags: autotrain
language: en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - hidude562/autotrain-data-SimpleDetect
co2_eq_emissions: 0.21691606119445225

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 837726721
• CO2 Emissions (in grams): 0.21691606119445225

Validation Metrics

• Loss: 0.010096958838403225
• Accuracy: 0.996223414828066
• Macro F1: 0.996179398826373
• Micro F1: 0.996223414828066
• Weighted F1: 0.996223414828066
• Macro Precision: 0.996179398826373
• Micro Precision: 0.996223414828066
• Weighted Precision: 0.996223414828066
• Macro Recall: 0.996179398826373
• Micro Recall: 0.996223414828066
• Weighted Recall: 0.996223414828066

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/hidude562/autotrain-SimpleDetect-837726721

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("hidude562/autotrain-SimpleDetect-837726721", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("hidude562/autotrain-SimpleDetect-837726721", use_auth_token=True)

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

outputs = model(**inputs)