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---
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: "I love AutoTrain"
datasets:
- ejschwartz/autotrain-data-oo-method-test
co2_eq_emissions:
emissions: 0.14243687811211087
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 65201136070
- CO2 Emissions (in grams): 0.1424
## Validation Metrics
- Loss: 0.492
- Accuracy: 0.849
- Precision: 0.834
- Recall: 0.638
- AUC: 0.872
- F1: 0.723
## 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/ejschwartz/autotrain-oo-method-test-65201136070
```
Or Python API:
```
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("ejschwartz/autotrain-oo-method-test-65201136070", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("ejschwartz/autotrain-oo-method-test-65201136070", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
``` |