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dvilasuero/autotrain-alpaca-gigo-detector-45529113937

sourceHugging Faceupdated 3y agoView on Hugging Face
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Model Card

Model Trained Using AutoTrain

  • —Problem type: Multi-class Classification
  • —Model ID: 45529113937
  • —CO2 Emissions (in grams): 0.3078

Validation Metrics

  • —Loss: 0.481
  • —Accuracy: 0.825
  • —Macro F1: 0.823
  • —Micro F1: 0.825
  • —Weighted F1: 0.825
  • —Macro Precision: 0.824
  • —Micro Precision: 0.825
  • —Weighted Precision: 0.825
  • —Macro Recall: 0.821
  • —Micro Recall: 0.825
  • —Weighted Recall: 0.825

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/dvilasuero/autotrain-alpaca-gigo-detector-45529113937

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("dvilasuero/autotrain-alpaca-gigo-detector-45529113937", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("dvilasuero/autotrain-alpaca-gigo-detector-45529113937", use_auth_token=True)

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

outputs = model(**inputs)