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---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- tayyaba/autotrain-data-pan
co2_eq_emissions: 27.081173251466467
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 977432399
- CO2 Emissions (in grams): 27.081173251466467
## Validation Metrics
- Loss: 0.277687668800354
- Accuracy: 0.8841666666666667
- Precision: 0.9185918591859186
- Recall: 0.9277777777777778
- AUC: 0.9422805555555556
- F1: 0.9231619679380874
## 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-977432399
```
Or Python API:
```
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("tayyaba/autotrain-pan-977432399", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("tayyaba/autotrain-pan-977432399", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
``` |