--- tags: - autotrain - text-classification language: - es widget: - text: "I love AutoTrain 🤗" datasets: - Venkatakrishnan-Ramesh/autotrain-data-hate-speech co2_eq_emissions: emissions: 0.3353050644031622 --- # Model Trained Using AutoTrain - Problem type: Multi-class Classification - Model ID: 56013130185 - CO2 Emissions (in grams): 0.3353 ## Validation Metrics - Loss: 1.123 - Accuracy: 0.501 - Macro F1: 0.370 - Micro F1: 0.501 - Weighted F1: 0.458 - Macro Precision: 0.564 - Micro Precision: 0.501 - Weighted Precision: 0.548 - Macro Recall: 0.381 - Micro Recall: 0.501 - Weighted Recall: 0.501 ## 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/Venkatakrishnan-Ramesh/autotrain-hate-speech-56013130185 ``` Or Python API: ``` from transformers import AutoModelForSequenceClassification, AutoTokenizer model = AutoModelForSequenceClassification.from_pretrained("Venkatakrishnan-Ramesh/autotrain-hate-speech-56013130185", use_auth_token=True) tokenizer = AutoTokenizer.from_pretrained("Venkatakrishnan-Ramesh/autotrain-hate-speech-56013130185", use_auth_token=True) inputs = tokenizer("I love AutoTrain", return_tensors="pt") outputs = model(**inputs) ```