metadata
tags:
- autotrain
- text-classification
language:
- tr
widget:
- text: I love AutoTrain 🤗
datasets:
- cemufuk/autotrain-data-cyberbully-cem
co2_eq_emissions:
emissions: 0.033205287039726694
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 57310132643
- CO2 Emissions (in grams): 0.0332
Validation Metrics
- Loss: 0.200
- Accuracy: 0.923
- Precision: 0.914
- Recall: 0.924
- AUC: 0.974
- F1: 0.919
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/cemufuk/autotrain-cyberbully-cem-57310132643
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("cemufuk/autotrain-cyberbully-cem-57310132643", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("cemufuk/autotrain-cyberbully-cem-57310132643", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)