Model Trained Using AutoNLP

Problem type: Binary Classification
Model ID: 451311592
CO2 Emissions (in grams): 1.8697144296865242

Validation Metrics

Loss: 0.4544260799884796
Accuracy: 0.8042452830188679
Precision: 0.8331288343558282
Recall: 0.8573232323232324
AUC: 0.8759811658249159
F1: 0.8450528935905414

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 AutoNLP"}' https://api-inference.huggingface.co/models/zwang199/autonlp-traffic-nlp-451311592

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("zwang199/autonlp-traffic-nlp-451311592", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("zwang199/autonlp-traffic-nlp-451311592", use_auth_token=True)

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

outputs = model(**inputs)