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---
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)
``` |