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---
tags:
- autotrain
- text-regression
language:
- en
widget:
- text: "I love AutoTrain"
datasets:
- okaris/autotrain-data-hate-speech-3k
co2_eq_emissions:
emissions: 0.023898445665108296
---
# Model Trained Using AutoTrain
- Problem type: Single Column Regression
- Model ID: 89642143970
- CO2 Emissions (in grams): 0.0239
## Validation Metrics
- Loss: 1.768
- MSE: 1.768
- MAE: 1.007
- R2: 0.604
- RMSE: 1.330
- Explained Variance: 0.614
## 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/okaris/autotrain-hate-speech-3k-89642143970
```
Or Python API:
```
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("okaris/autotrain-hate-speech-3k-89642143970", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("okaris/autotrain-hate-speech-3k-89642143970", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
``` |