The article is under publication. For communication, you can send an e-mail to hakki.babacan@erzincan.edu.tr.
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 73482139269
- CO2 Emissions (in grams): 0.8368
Validation Metrics
- Loss: 0.076
- Accuracy: 0.973
- Precision: 0.912
- Recall: 0.995
- AUC: 0.997
- F1: 0.951
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/halilbabacan/autotrain-cognitive_distortions-73482139269
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("halilbabacan/autotrain-cognitive_distortions-73482139269", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("halilbabacan/autotrain-cognitive_distortions-73482139269", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
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