lucieackley/fitness_message_classification

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 40235104670
• CO2 Emissions (in grams): 0.0028

Validation Metrics

• Loss: 1.121
• Accuracy: 0.589
• Macro F1: 0.403
• Micro F1: 0.589
• Weighted F1: 0.541
• Macro Precision: 0.433
• Micro Precision: 0.589
• Weighted Precision: 0.536
• Macro Recall: 0.415
• Micro Recall: 0.589
• Weighted Recall: 0.589

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/lucieackley/autotrain-fitness_message_classification-40235104670

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("lucieackley/autotrain-fitness_message_classification-40235104670", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("lucieackley/autotrain-fitness_message_classification-40235104670", use_auth_token=True)

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

outputs = model(**inputs)