YAML Metadata
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Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 977432388
- CO2 Emissions (in grams): 13.776410975057908
Validation Metrics
- Loss: 0.396272748708725
- Accuracy: 0.82
- Precision: 0.9135429262394196
- Recall: 0.8394444444444444
- AUC: 0.8801013888888889
- F1: 0.87492762015055
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/tayyaba/autotrain-pan-977432388
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("tayyaba/autotrain-pan-977432388", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("tayyaba/autotrain-pan-977432388", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
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