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---
tags:
- text-regression
pipeline_tag: regression
language:
- en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- orange6996/autotrain-data-testtextexists
co2_eq_emissions:
emissions: 0.8382331508369333
---
# Model Trained Using AutoTrain
- Problem type: Single Column Regression
- Model ID: 1966366051
- CO2 Emissions (in grams): 0.8382
## Validation Metrics
- Loss: 4927.679
- MSE: 4927.679
- MAE: 68.224
- R2: -17.019
- RMSE: 70.197
- Explained Variance: 0.001
## 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/orange6996/autotrain-testtextexists-1966366051
```
Or Python API:
```
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("orange6996/autotrain-testtextexists-1966366051", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("orange6996/autotrain-testtextexists-1966366051", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
``` |