--- tags: - autotrain - text-classification language: - unk widget: - text: "I love AutoTrain 🤗" datasets: - noob123/autotrain-data-app_review_bert_train co2_eq_emissions: emissions: 4.094086460501482 --- # Model Trained Using AutoTrain - Problem type: Binary Classification - Model ID: 1310050094 - CO2 Emissions (in grams): 4.0941 ## Validation Metrics - Loss: 0.449 - Accuracy: 0.800 - Precision: 0.855 - Recall: 0.844 - AUC: 0.851 - F1: 0.849 ## 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/noob123/autotrain-app_review_bert_train-1310050094 ``` Or Python API: ``` from transformers import AutoModelForSequenceClassification, AutoTokenizer model = AutoModelForSequenceClassification.from_pretrained("noob123/autotrain-app_review_bert_train-1310050094", use_auth_token=True) tokenizer = AutoTokenizer.from_pretrained("noob123/autotrain-app_review_bert_train-1310050094", use_auth_token=True) inputs = tokenizer("I love AutoTrain", return_tensors="pt") outputs = model(**inputs) ```