--- tags: autonlp language: en widget: - text: "I love AutoNLP 🤗" datasets: - Chijioke/autonlp-data-mono co2_eq_emissions: 1.1406456838043837 --- # Model Trained Using AutoNLP - Problem type: Multi-class Classification - Model ID: 625317956 - CO2 Emissions (in grams): 1.1406456838043837 ## Validation Metrics - Loss: 0.513037919998169 - Accuracy: 0.8982035928143712 - Macro F1: 0.7843756230226546 - Micro F1: 0.8982035928143712 - Weighted F1: 0.8891653474608059 - Macro Precision: 0.8210878091622635 - Micro Precision: 0.8982035928143712 - Weighted Precision: 0.8888857327766032 - Macro Recall: 0.7731018645485747 - Micro Recall: 0.8982035928143712 - Weighted Recall: 0.8982035928143712 ## 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/Chijioke/autonlp-mono-625317956 ``` Or Python API: ``` from transformers import AutoModelForSequenceClassification, AutoTokenizer model = AutoModelForSequenceClassification.from_pretrained("Chijioke/autonlp-mono-625317956", use_auth_token=True) tokenizer = AutoTokenizer.from_pretrained("Chijioke/autonlp-mono-625317956", use_auth_token=True) inputs = tokenizer("I love AutoNLP", return_tensors="pt") outputs = model(**inputs) ```