README.md

metadata

tags:
  - autotrain
  - text-regression
language:
  - unk
widget:
  - text: I love AutoTrain 🤗
datasets:
  - huynhdoo/autotrain-data-ell-phraseology
co2_eq_emissions:
  emissions: 3.8479338857094207

Model Trained Using AutoTrain

• Problem type: Single Column Regression
• Model ID: 2217871115
• CO2 Emissions (in grams): 3.8479

Validation Metrics

• Loss: 0.254
• MSE: 0.254
• MAE: 0.393
• R2: 0.413
• RMSE: 0.504
• Explained Variance: 0.414

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/huynhdoo/autotrain-ell-phraseology-2217871115

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("huynhdoo/autotrain-ell-phraseology-2217871115", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("huynhdoo/autotrain-ell-phraseology-2217871115", use_auth_token=True)

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

outputs = model(**inputs)