qualitydatalab/autotrain-car-review-project-966432121

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 966432121
• CO2 Emissions (in grams): 0.21529888368377176

Validation Metrics

• Loss: 0.6013365983963013
• Accuracy: 0.737791286727457
• Macro F1: 0.729171012281939
• Micro F1: 0.737791286727457
• Weighted F1: 0.729171012281939
• Macro Precision: 0.7313770127538427
• Micro Precision: 0.737791286727457
• Weighted Precision: 0.7313770127538428
• Macro Recall: 0.737791286727457
• Micro Recall: 0.737791286727457
• Weighted Recall: 0.737791286727457

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 driving this car"}' https://api-inference.huggingface.co/models/qualitydatalab/autotrain-car-review-project-966432121

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("qualitydatalab/autotrain-car-review-project-966432121", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("qualitydatalab/autotrain-car-review-project-966432121", use_auth_token=True)

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

outputs = model(**inputs)