muhtasham
/

autonlp-Doctor_DE-24595546

Text Classification

Trained with AutoTrain

Carbon Emissions

Inference Endpoints

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Model Trained Using AutoNLP

Problem type: Single Column Regression
Model ID: 24595546
CO2 Emissions (in grams): 210.5957437893554

Validation Metrics

Loss: 0.3092539310455322
MSE: 0.30925390124320984
MAE: 0.25015318393707275
R2: 0.841926941198094
RMSE: 0.5561060309410095
Explained Variance: 0.8427215218544006

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-24595546

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("muhtasham/autonlp-Doctor_DE-24595546", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("muhtasham/autonlp-Doctor_DE-24595546", use_auth_token=True)

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

outputs = model(**inputs)

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Inference API

Text Classification

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Dataset used to train muhtasham/autonlp-Doctor_DE-24595546