README.md

metadata

tags: autonlp
language: de
widget:
  - text: I love AutoNLP 🤗
datasets:
  - muhtasham/autonlp-data-Doctor_DE
co2_eq_emissions: 396.5529429198159

Model Trained Using AutoNLP

• Problem type: Single Column Regression
• Model ID: 24595547
• CO2 Emissions (in grams): 396.5529429198159

Validation Metrics

• Loss: 1.9565489292144775
• MSE: 1.9565489292144775
• MAE: 0.9890901446342468
• R2: -7.68965036332947e-05
• RMSE: 1.3987668752670288
• Explained Variance: 0.0

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/muhtasham/autonlp-Doctor_DE-24595547

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("muhtasham/autonlp-Doctor_DE-24595547", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("muhtasham/autonlp-Doctor_DE-24595547", use_auth_token=True)

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

outputs = model(**inputs)