Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 1937065404
CO2 Emissions (in grams): 1.0428

Validation Metrics

Loss: 0.368
Accuracy: 0.858
Macro F1: 0.717
Micro F1: 0.858
Weighted F1: 0.857
Macro Precision: 0.731
Micro Precision: 0.858
Weighted Precision: 0.859
Macro Recall: 0.711
Micro Recall: 0.858
Weighted Recall: 0.858

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/DingYao/autotrain-fbert-singlish-2-1937065404

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("DingYao/autotrain-fbert-singlish-2-1937065404", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("DingYao/autotrain-fbert-singlish-2-1937065404", use_auth_token=True)

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

outputs = model(**inputs)