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---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- trentmkelly/autotrain-data-political-spectrum
co2_eq_emissions:
emissions: 0.02667683045534447
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 58791133434
- CO2 Emissions (in grams): 0.0267
## Validation Metrics
- Loss: 0.220
- Accuracy: 0.930
- Precision: 0.916
- Recall: 0.947
- AUC: 0.978
- F1: 0.931
## 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/trentmkelly/autotrain-political-spectrum-58791133434
```
Or Python API:
```
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("trentmkelly/autotrain-political-spectrum-58791133434", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("trentmkelly/autotrain-political-spectrum-58791133434", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
``` |