README.md

metadata

tags:
  - autotrain
  - text-regression
language:
  - unk
widget:
  - text: I love AutoTrain
datasets:
  - garrettbaber/autotrain-data-twitter-gpt-fear-intensity
co2_eq_emissions:
  emissions: 0.03442887920623126

Model Trained Using AutoTrain

• Problem type: Single Column Regression
• Model ID: 72781139029
• CO2 Emissions (in grams): 0.0344

Validation Metrics

• Loss: 0.035
• MSE: 0.035
• MAE: 0.154
• R2: 0.108
• RMSE: 0.188
• Explained Variance: 0.109

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/garrettbaber/autotrain-twitter-gpt-fear-intensity-72781139029

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("garrettbaber/autotrain-twitter-gpt-fear-intensity-72781139029", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("garrettbaber/autotrain-twitter-gpt-fear-intensity-72781139029", use_auth_token=True)

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

outputs = model(**inputs)