muhtasham
/

autonlp-Doctor_DE-24595544

Text Classification Transformers PyTorch

German distilbert Trained with AutoTrain Carbon Emissions Inference Endpoints

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Model Trained Using AutoNLP

Problem type: Single Column Regression
Model ID: 24595544
CO2 Emissions (in grams): 92.87363201770962

Validation Metrics

Loss: 0.3001164197921753
MSE: 0.3001164197921753
MAE: 0.24272102117538452
R2: 0.8465975006681247
RMSE: 0.5478288531303406
Explained Variance: 0.8468209505081177

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-24595544

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("muhtasham/autonlp-Doctor_DE-24595544", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("muhtasham/autonlp-Doctor_DE-24595544", use_auth_token=True)

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

outputs = model(**inputs)

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Dataset used to train muhtasham/autonlp-Doctor_DE-24595544