zenkri/autotrain-Arabic_Poetry_by_Subject-920730230

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 920730230
• CO2 Emissions (in grams): 0.07445219847409645

Validation Metrics

• Loss: 0.5806193351745605
• Accuracy: 0.8785200718993409
• Macro F1: 0.8208042310550474
• Micro F1: 0.8785200718993409
• Weighted F1: 0.8783590365809876
• Macro Precision: 0.8486540338838363
• Micro Precision: 0.8785200718993409
• Weighted Precision: 0.8815185727115001
• Macro Recall: 0.8121110408113442
• Micro Recall: 0.8785200718993409
• Weighted Recall: 0.8785200718993409

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/zenkri/autotrain-Arabic_Poetry_by_Subject-920730230

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("zenkri/autotrain-Arabic_Poetry_by_Subject-920730230", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("zenkri/autotrain-Arabic_Poetry_by_Subject-920730230", use_auth_token=True)

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

outputs = model(**inputs)