Modelpublic

xInsignia/autotrain-Online_orders-755323156

sourceHugging Faceupdated 4y agoView on Hugging Face

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Model Card

Model Trained Using AutoTrain

—Problem type: Multi-class Classification
—Model ID: 755323156
—CO2 Emissions (in grams): 2.4120667129093043

Validation Metrics

—Loss: 0.17826060950756073
—Accuracy: 0.9550898203592815
—Macro F1: 0.8880388927888968
—Micro F1: 0.9550898203592815
—Weighted F1: 0.9528256324309916
—Macro Precision: 0.9093073732635162
—Micro Precision: 0.9550898203592815
—Weighted Precision: 0.9533674643333371
—Macro Recall: 0.8872729481745715
—Micro Recall: 0.9550898203592815
—Weighted Recall: 0.9550898203592815

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/xInsignia/autotrain-Online_orders-755323156

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("xInsignia/autotrain-Online_orders-755323156", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("xInsignia/autotrain-Online_orders-755323156", use_auth_token=True)

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

outputs = model(**inputs)