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Arabic_poem_meter_classification
Yah216/Arabic_poem_meter_classification
Arabic_poem_meter_classification is a text classification model from Yah216. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Multi-class Classification - Model ID: 913229914 - CO2 Emissions (in grams): 1.8892280988467902
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- May 26, 2022
- Updated
- May 26, 2022
- SHA
- 01776dfc
Try a prompt
Model card
From the Hugging Face model README
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)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- ar
- Created
- May 26, 2022
- Updated
- May 26, 2022