Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 38591101687
• CO2 Emissions (in grams): 107.8531

Validation Metrics

• Loss: 0.740
• Accuracy: 0.684
• Macro F1: 0.340
• Micro F1: 0.684
• Weighted F1: 0.676
• Macro Precision: 0.341
• Micro Precision: 0.684
• Weighted Precision: 0.679
• Macro Recall: 0.343
• Micro Recall: 0.684
• Weighted Recall: 0.684

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/mziyad/autotrain-classify-reviews-38591101687

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("mziyad/autotrain-classify-reviews-38591101687", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("mziyad/autotrain-classify-reviews-38591101687", use_auth_token=True)

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

outputs = model(**inputs)