Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 72580138964
• CO2 Emissions (in grams): 0.0224

Validation Metrics

• Loss: 1.573
• Accuracy: 0.318
• Macro F1: 0.097
• Micro F1: 0.318
• Weighted F1: 0.154
• Macro Precision: 0.064
• Micro Precision: 0.318
• Weighted Precision: 0.101
• Macro Recall: 0.200
• Micro Recall: 0.318
• Weighted Recall: 0.318

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/hafezd-datasaur/autotrain-7206-17163967-caa2-4b1a-89b2-62f2ce6b22b8-72580138964

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("hafezd-datasaur/autotrain-7206-17163967-caa2-4b1a-89b2-62f2ce6b22b8-72580138964", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("hafezd-datasaur/autotrain-7206-17163967-caa2-4b1a-89b2-62f2ce6b22b8-72580138964", use_auth_token=True)

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

outputs = model(**inputs)