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metadata
tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - idjotherwise/autonlp-data-reading_prediction

Model Trained Using AutoNLP

  • Problem type: Single Column Regression
  • Model ID: 172506

Validation Metrics

  • Loss: 0.03257797285914421
  • MSE: 0.03257797285914421
  • MAE: 0.14246532320976257
  • R2: 0.9693824457290849
  • RMSE: 0.18049369752407074
  • Explained Variance: 0.9699198007583618

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/idjotherwise/autonlp-reading_prediction-172506

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("idjotherwise/autonlp-reading_prediction-172506")

tokenizer = AutoTokenizer.from_pretrained("idjotherwise/autonlp-reading_prediction-172506")

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

outputs = model(**inputs)