metadata

tags:
  - autotrain
  - text-classification
language:
  - en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - Hrishikesh332/autotrain-data-ag-news-classification
co2_eq_emissions:
  emissions: 12.806489367828096

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 2680881849
CO2 Emissions (in grams): 12.8065

Validation Metrics

Loss: 0.390
Accuracy: 0.882
Macro F1: 0.765
Micro F1: 0.882
Weighted F1: 0.880
Macro Precision: 0.927
Micro Precision: 0.882
Weighted Precision: 0.887
Macro Recall: 0.705
Micro Recall: 0.882
Weighted Recall: 0.882

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/Hrishikesh332/autotrain-ag-news-classification-2680881849

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Hrishikesh332/autotrain-ag-news-classification-2680881849", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Hrishikesh332/autotrain-ag-news-classification-2680881849", use_auth_token=True)

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

outputs = model(**inputs)