---
tags:
- autotrain
- text-regression
language:
- unk
widget:
- text: "I love AutoTrain"
datasets:
- garrettbaber/autotrain-data-twitter-gpt-fear-intensity
co2_eq_emissions:
  emissions: 0.03442887920623126
---

# Model Trained Using AutoTrain

- Problem type: Single Column Regression
- Model ID: 72781139029
- CO2 Emissions (in grams): 0.0344

## Validation Metrics

- Loss: 0.035
- MSE: 0.035
- MAE: 0.154
- R2: 0.108
- RMSE: 0.188
- Explained Variance: 0.109

## 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/garrettbaber/autotrain-twitter-gpt-fear-intensity-72781139029
```

Or Python API:

```
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("garrettbaber/autotrain-twitter-gpt-fear-intensity-72781139029", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("garrettbaber/autotrain-twitter-gpt-fear-intensity-72781139029", use_auth_token=True)

inputs = tokenizer("I love AutoTrain", return_tensors="pt")

outputs = model(**inputs)
```