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Commit From AutoTrain
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metadata
tags: autotrain
language: es
widget:
  - text: I love AutoTrain 🤗
datasets:
  - gabitoo1234/autotrain-data-mut_all_text
co2_eq_emissions: 115.48848403681228

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)