Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 798824628
CO2 Emissions (in grams): 121.67185089502216

Validation Metrics

Loss: 0.5046824812889099
Accuracy: 0.8472124039775673
Macro F1: 0.7812978033330673
Micro F1: 0.8472124039775673
Weighted F1: 0.8464983956259307
Macro Precision: 0.812208631055716
Micro Precision: 0.8472124039775673
Weighted Precision: 0.8478968364150775
Macro Recall: 0.7593223884993787
Micro Recall: 0.8472124039775673
Weighted Recall: 0.8472124039775673

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/Sathira/autotrain-mbtiNlp-798824628

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Sathira/autotrain-mbtiNlp-798824628", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Sathira/autotrain-mbtiNlp-798824628", use_auth_token=True)

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

outputs = model(**inputs)