README.md

metadata

tags:
  - autotrain
  - text-regression
language:
  - en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - orange6996/autotrain-data-testtextexists
co2_eq_emissions:
  emissions: 0.3550338626114656

Model Trained Using AutoTrain

• Problem type: Single Column Regression
• Model ID: 1966366048
• CO2 Emissions (in grams): 0.3550

Validation Metrics

• Loss: 4911.982
• MSE: 4911.981
• MAE: 68.106
• R2: -16.962
• RMSE: 70.086
• Explained Variance: -0.000

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-1966366048

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("orange6996/autotrain-testtextexists-1966366048", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("orange6996/autotrain-testtextexists-1966366048", use_auth_token=True)

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

outputs = model(**inputs)