--- tags: - autotrain - text-classification language: - zh widget: - text: "I love AutoTrain 🤗" datasets: - yuan1729/autotrain-data-YuAN-lawthone-CL_facts_backTrans co2_eq_emissions: emissions: 151.97297148175758 --- # Model Trained Using AutoTrain - Problem type: Multi-class Classification - Model ID: 1241547318 - CO2 Emissions (in grams): 151.9730 ## Validation Metrics - Loss: 0.512 - Accuracy: 0.862 - Macro F1: 0.862 - Micro F1: 0.862 - Weighted F1: 0.862 - Macro Precision: 0.863 - Micro Precision: 0.862 - Weighted Precision: 0.863 - Macro Recall: 0.862 - Micro Recall: 0.862 - Weighted Recall: 0.862 ## 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/yuan1729/autotrain-YuAN-lawthone-CL_facts_backTrans-1241547318 ``` Or Python API: ``` from transformers import AutoModelForSequenceClassification, AutoTokenizer model = AutoModelForSequenceClassification.from_pretrained("yuan1729/autotrain-YuAN-lawthone-CL_facts_backTrans-1241547318", use_auth_token=True) tokenizer = AutoTokenizer.from_pretrained("yuan1729/autotrain-YuAN-lawthone-CL_facts_backTrans-1241547318", use_auth_token=True) inputs = tokenizer("I love AutoTrain", return_tensors="pt") outputs = model(**inputs) ```