Model Trained Using AutoNLP

Problem type: Binary Classification
Model ID: 456211724
CO2 Emissions (in grams): 22.28263989637389

Validation Metrics

Loss: 0.23710417747497559
Accuracy: 0.9119100357812234
Precision: 0.8882611424984307
Recall: 0.9461718488799733
AUC: 0.974790366001874
F1: 0.9163024121741946

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/rexxar96/autonlp-sentiment-analysis-456211724

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("rexxar96/autonlp-sentiment-analysis-456211724", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("rexxar96/autonlp-sentiment-analysis-456211724", use_auth_token=True)

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

outputs = model(**inputs)