--- tags: autonlp language: de widget: - text: "I love AutoNLP 🤗" datasets: - muhtasham/autonlp-data-Doctor_DE co2_eq_emissions: 210.5957437893554 --- # Model Trained Using AutoNLP - Problem type: Single Column Regression - Model ID: 24595546 - CO2 Emissions (in grams): 210.5957437893554 ## Validation Metrics - Loss: 0.3092539310455322 - MSE: 0.30925390124320984 - MAE: 0.25015318393707275 - R2: 0.841926941198094 - RMSE: 0.5561060309410095 - Explained Variance: 0.8427215218544006 ## 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/muhtasham/autonlp-Doctor_DE-24595546 ``` Or Python API: ``` from transformers import AutoModelForSequenceClassification, AutoTokenizer model = AutoModelForSequenceClassification.from_pretrained("muhtasham/autonlp-Doctor_DE-24595546", use_auth_token=True) tokenizer = AutoTokenizer.from_pretrained("muhtasham/autonlp-Doctor_DE-24595546", use_auth_token=True) inputs = tokenizer("I love AutoNLP", return_tensors="pt") outputs = model(**inputs) ```