Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 680820343
CO2 Emissions (in grams): 115.48848403681228

Validation Metrics

Loss: 0.3041240870952606
Accuracy: 0.9462770369425126
Macro F1: 0.7836898686625933
Micro F1: 0.9462770369425126
Weighted F1: 0.9449148298990091
Macro Precision: 0.8344505891491089
Micro Precision: 0.9462770369425126
Weighted Precision: 0.9451247372908952
Macro Recall: 0.7568785255994025
Micro Recall: 0.9462770369425126
Weighted Recall: 0.9462770369425126

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/gabitoo1234/autotrain-mut_all_text-680820343

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("gabitoo1234/autotrain-mut_all_text-680820343", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("gabitoo1234/autotrain-mut_all_text-680820343", use_auth_token=True)

inputs = tokenizer("I love AutoTrain", return_tensors="pt")

outputs = model(**inputs)