Model Trained Using AutoNLP

Problem type: Binary Classification
Model ID: 653519223
CO2 Emissions (in grams): 24.879856894708393

Validation Metrics

Loss: 0.14671853184700012
Accuracy: 0.9676666666666667
Precision: 0.9794159885112494
Recall: 0.9742857142857143
AUC: 0.9901396825396825
F1: 0.9768441155407017

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/doctorlan/autonlp-ctrip-653519223

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("doctorlan/autonlp-ctrip-653519223", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("doctorlan/autonlp-ctrip-653519223", use_auth_token=True)

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

outputs = model(**inputs)