metadata

language: ar
widget:
  - text: قفا نبك من ذِكرى حبيب ومنزلِ  بسِقطِ اللِّوى بينَ الدَّخول فحَوْملِ
  - text: سَلو قَلبي غَداةَ سَلا وَثابا لَعَلَّ عَلى الجَمالِ لَهُ عِتابا

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 913229914
CO2 Emissions (in grams): 1.8892280988467902

Validation Metrics

Loss: 1.0592747926712036
Accuracy: 0.6535535147098981
Macro F1: 0.46508274468173677
Micro F1: 0.6535535147098981
Weighted F1: 0.6452975497424681
Macro Precision: 0.6288501119526966
Micro Precision: 0.6535535147098981
Weighted Precision: 0.6818087199275457
Macro Recall: 0.3910156950920188
Micro Recall: 0.6535535147098981
Weighted Recall: 0.6535535147098981

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/autotrain-poem_meter_classification-913229914

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Yah216/autotrain-poem_meter_classification-913229914", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Yah216/autotrain-poem_meter_classification-913229914", use_auth_token=True)

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

outputs = model(**inputs)