Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 758223271
CO2 Emissions (in grams): 0.3313142450338848

Validation Metrics

Loss: 1.2496932744979858
Accuracy: 0.6438828259620908
Macro F1: 0.5757131072506373
Micro F1: 0.6438828259620908
Weighted F1: 0.6401462906378685
Macro Precision: 0.6279826743318115
Micro Precision: 0.6438828259620908
Weighted Precision: 0.6479595607607238
Macro Recall: 0.5436771609966322
Micro Recall: 0.6438828259620908
Weighted Recall: 0.6438828259620908

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/intellisr/autotrain-twitterMbti-758223271

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("intellisr/autotrain-twitterMbti-758223271", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("intellisr/autotrain-twitterMbti-758223271", use_auth_token=True)

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

outputs = model(**inputs)