README.md

metadata

language: ar
datasets:
  - Yah216/Poem_Rawiy_detection
co2_eq_emissions: 1.8046766441629636
widget:
  - سَلو قَلبي غَداةَ سَلا وَثابا لَعَلَّ عَلى الجَمالِ لَهُ عِتاب

Model

• Problem type: Multi-class Classification
• CO2 Emissions (in grams): 1.8046766441629636

Validation Metrics

• Loss: 0.398613303899765
• Accuracy: 0.912351981006084
• Macro F1: 0.717311758991278
• Micro F1: 0.912351981006084
• Weighted F1: 0.9110094798809955
• Macro Precision: 0.7211917136609866
• Micro Precision: 0.912351981006084
• Weighted Precision: 0.9102294701380585
• Macro Recall: 0.714852045042265
• Micro Recall: 0.912351981006084
• Weighted Recall: 0.912351981006084

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/Yah216/Poem_Rawiy_detection

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Yah216/Poem_Qafiyah_Detection", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Yah216/Poem_Qafiyah_Detection", use_auth_token=True)

inputs = tokenizer("text, return_tensors="pt")

outputs = model(**inputs)