README.md

metadata

tags:
  - autotrain
  - text-regression
language:
  - en
widget:
  - text: I love AutoTrain
datasets:
  - MichaelS91/autotrain-data-hub_testing
co2_eq_emissions:
  emissions: 1.5911364056652006

Model Trained Using AutoTrain

• Problem type: Single Column Regression
• Model ID: 75008139803
• CO2 Emissions (in grams): 1.5911

Validation Metrics

• Loss: 1.889
• MSE: 1.889
• MAE: 1.094
• R2: 0.221
• RMSE: 1.374
• Explained Variance: 0.242

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/MichaelS91/autotrain-hub_testing-75008139803

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("MichaelS91/autotrain-hub_testing-75008139803", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("MichaelS91/autotrain-hub_testing-75008139803", use_auth_token=True)

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

outputs = model(**inputs)