Model Trained Using AutoTrain

Problem type: Binary Classification
Model ID: 1024534822
CO2 Emissions (in grams): 2.288443953210163

Validation Metrics

Loss: 0.5510443449020386
Accuracy: 0.7619047619047619
Precision: 0.6761363636363636
Recall: 0.7345679012345679
AUC: 0.7936883912336109
F1: 0.7041420118343196

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/cjbarrie/autotrain-traintest-sentiment-split-1024534822

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("cjbarrie/autotrain-traintest-sentiment-split-1024534822", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("cjbarrie/autotrain-traintest-sentiment-split-1024534822", use_auth_token=True)

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

outputs = model(**inputs)