README.md

metadata

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)