pedro-m4u/1000_respostas-MODELO_1

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 3526695349
• CO2 Emissions (in grams): 0.0071

Validation Metrics

• Loss: 0.468
• Accuracy: 0.863
• Macro F1: 0.823
• Micro F1: 0.863
• Weighted F1: 0.860
• Macro Precision: 0.882
• Micro Precision: 0.863
• Weighted Precision: 0.873
• Macro Recall: 0.814
• Micro Recall: 0.863
• Weighted Recall: 0.863

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/pedro-m4u/autotrain-new_1000_respostas-3526695349

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("pedro-m4u/autotrain-new_1000_respostas-3526695349", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("pedro-m4u/autotrain-new_1000_respostas-3526695349", use_auth_token=True)

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

outputs = model(**inputs)