Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 2970786289
CO2 Emissions (in grams): 35.9016

Validation Metrics

Loss: 3.398
Accuracy: 0.208
Macro F1: 0.207
Micro F1: 0.208
Weighted F1: 0.207
Macro Precision: 0.227
Micro Precision: 0.208
Weighted Precision: 0.227
Macro Recall: 0.208
Micro Recall: 0.208
Weighted Recall: 0.208

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/RowanTELSCorp/autotrain-artunit-50-500-2970786289

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("RowanTELSCorp/autotrain-artunit-50-500-2970786289", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("RowanTELSCorp/autotrain-artunit-50-500-2970786289", use_auth_token=True)

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

outputs = model(**inputs)