README.md

metadata

tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - Harshveer/autonlp-data-formality_scoring_2
co2_eq_emissions: 8.655894631203154

Model Trained Using AutoNLP

• Problem type: Single Column Regression
• Model ID: 32597818
• CO2 Emissions (in grams): 8.655894631203154

Validation Metrics

• Loss: 0.5410276651382446
• MSE: 0.5410276651382446
• MAE: 0.5694561004638672
• R2: 0.6830431129198475
• RMSE: 0.735545814037323
• Explained Variance: 0.6834385395050049

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 AutoNLP"}' https://api-inference.huggingface.co/models/Harshveer/autonlp-formality_scoring_2-32597818

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Harshveer/autonlp-formality_scoring_2-32597818", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Harshveer/autonlp-formality_scoring_2-32597818", use_auth_token=True)

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

outputs = model(**inputs)