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---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- borgr/autotrain-data-Trial
co2_eq_emissions: 21.05202945092033
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1053836319
- CO2 Emissions (in grams): 21.05202945092033
## Validation Metrics
- Loss: 0.1608610451221466
- Accuracy: 0.9461024498886415
- Precision: 0.956428187197418
- Recall: 0.9464998669150918
- AUC: 0.9843301458499762
- F1: 0.9514381270903011
## 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/borgr/autotrain-Trial-1053836319
```
Or Python API:
```
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("borgr/autotrain-Trial-1053836319", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("borgr/autotrain-Trial-1053836319", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
``` |