Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 1015534072
CO2 Emissions (in grams): 0.013170440014043236

Validation Metrics

Loss: 1.493847370147705
Accuracy: 0.7333333333333333
Macro F1: 0.6777777777777777
Micro F1: 0.7333333333333333
Weighted F1: 0.6777777777777777
Macro Precision: 0.6555555555555554
Micro Precision: 0.7333333333333333
Weighted Precision: 0.6555555555555554
Macro Recall: 0.7333333333333333
Micro Recall: 0.7333333333333333
Weighted Recall: 0.7333333333333333

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/lucianpopa/autotrain-qn-classification-1015534072

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("lucianpopa/autotrain-qn-classification-1015534072", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("lucianpopa/autotrain-qn-classification-1015534072", use_auth_token=True)

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

outputs = model(**inputs)