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Model Trained Using AutoNLP

  • Problem type: Single Column Regression
  • Model ID: 24595545
  • CO2 Emissions (in grams): 203.30658367993382

Validation Metrics

  • Loss: 0.30214861035346985
  • MSE: 0.30214861035346985
  • MAE: 0.25911855697631836
  • R2: 0.8455587614373526
  • RMSE: 0.5496804714202881
  • Explained Variance: 0.8476610779762268


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/muhtasham/autonlp-Doctor_DE-24595545

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("muhtasham/autonlp-Doctor_DE-24595545", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("muhtasham/autonlp-Doctor_DE-24595545", use_auth_token=True)

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

outputs = model(**inputs)
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Hosted inference API
Text Classification
This model can be loaded on the Inference API on-demand.

Dataset used to train muhtasham/autonlp-Doctor_DE-24595545