README.md

metadata

tags:
  - autotrain
  - text-regression
language:
  - unk
widget:
  - text: I love AutoTrain
datasets:
  - garrettbaber/autotrain-data-twitter-roberta-base-anger-intensity2
co2_eq_emissions:
  emissions: 0.030118000944741423

Model Trained Using AutoTrain

• Problem type: Single Column Regression
• Model ID: 72775139028
• CO2 Emissions (in grams): 0.0301

Validation Metrics

• Loss: 0.011
• MSE: 0.011
• MAE: 0.085
• R2: 0.641
• RMSE: 0.103
• Explained Variance: 0.641

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-roberta-base-anger-intensity2-72775139028

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("garrettbaber/autotrain-twitter-roberta-base-anger-intensity2-72775139028", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("garrettbaber/autotrain-twitter-roberta-base-anger-intensity2-72775139028", use_auth_token=True)

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

outputs = model(**inputs)