metadata
tags:
- autotrain
- text-classification
language:
- unk
widget:
- text: I love AutoTrain 🤗
datasets:
- ekincanozcelik/autotrain-data-okr_iptal_v3
co2_eq_emissions:
emissions: 0.6594277471514705
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 47629116653
- CO2 Emissions (in grams): 0.6594
Validation Metrics
- Loss: 0.273
- Accuracy: 0.912
- Precision: 0.926
- Recall: 0.897
- AUC: 0.940
- F1: 0.911
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/ekincanozcelik/autotrain-okr_iptal_v3-47629116653
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("ekincanozcelik/autotrain-okr_iptal_v3-47629116653", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("ekincanozcelik/autotrain-okr_iptal_v3-47629116653", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)