--- tags: autotrain language: en widget: - text: "I love AutoTrain 🤗" datasets: - vreese2414/autotrain-data-test-frank co2_eq_emissions: 20.85550802376653 --- # Model Trained Using AutoTrain - Problem type: Multi-class Classification - Model ID: 896929583 - CO2 Emissions (in grams): 20.85550802376653 ## Validation Metrics - Loss: 0.8998094797134399 - Accuracy: 0.717983651226158 - Macro F1: 0.6850466044284794 - Micro F1: 0.717983651226158 - Weighted F1: 0.7093970537930665 - Macro Precision: 0.692166692035814 - Micro Precision: 0.717983651226158 - Weighted Precision: 0.7181745683190863 - Macro Recall: 0.6985625924834511 - Micro Recall: 0.717983651226158 - Weighted Recall: 0.717983651226158 ## 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/vreese2414/autotrain-test-frank-896929583 ``` Or Python API: ``` from transformers import AutoModelForSequenceClassification, AutoTokenizer model = AutoModelForSequenceClassification.from_pretrained("vreese2414/autotrain-test-frank-896929583", use_auth_token=True) tokenizer = AutoTokenizer.from_pretrained("vreese2414/autotrain-test-frank-896929583", use_auth_token=True) inputs = tokenizer("I love AutoTrain", return_tensors="pt") outputs = model(**inputs) ```