--- tags: autonlp language: en widget: - text: "I love AutoNLP 🤗" datasets: - chiragme/autonlp-data-imdb-sentiment-analysis co2_eq_emissions: 147.38973865706626 --- # Model Trained Using AutoNLP - Problem type: Binary Classification - Model ID: 623817873 - CO2 Emissions (in grams): 147.38973865706626 ## Validation Metrics - Loss: 0.2412157654762268 - Accuracy: 0.9306 - Precision: 0.9377795851972347 - Recall: 0.9224 - AUC: 0.97000504 - F1: 0.9300262149626941 ## 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/chiragme/autonlp-imdb-sentiment-analysis-623817873 ``` Or Python API: ``` from transformers import AutoModelForSequenceClassification, AutoTokenizer model = AutoModelForSequenceClassification.from_pretrained("chiragme/autonlp-imdb-sentiment-analysis-623817873", use_auth_token=True) tokenizer = AutoTokenizer.from_pretrained("chiragme/autonlp-imdb-sentiment-analysis-623817873", use_auth_token=True) inputs = tokenizer("I love AutoNLP", return_tensors="pt") outputs = model(**inputs) ```