autotrain-yes-or-no-classifier-on-circa-1009033469 – AI Model by Siddish | AlphaNeural AI

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Siddish/
autotrain-yes-or-no-classifier-on-circa-1009033469

like

0

text-classification

Siddish/autotrain-data-yes-or-no-classifier-on-circa

co2_eq_emissions

autotrain_compatible

endpoints_compatible

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Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 1009033469
CO2 Emissions (in grams): 0.1287915253247826

Validation Metrics

Loss: 0.4084862470626831
Accuracy: 0.8722054859679721
Macro F1: 0.6340608446004876
Micro F1: 0.8722054859679722
Weighted F1: 0.8679846554644491
Macro Precision: 0.645023001823007
Micro Precision: 0.8722054859679721
Weighted Precision: 0.8656545967138464
Macro Recall: 0.6283763558287574
Micro Recall: 0.8722054859679721
Weighted Recall: 0.8722054859679721

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 AutoTrain"}' https://api-inference.huggingface.co/models/Siddish/autotrain-yes-or-no-classifier-on-circa-1009033469

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Siddish/autotrain-yes-or-no-classifier-on-circa-1009033469", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Siddish/autotrain-yes-or-no-classifier-on-circa-1009033469", use_auth_token=True)

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

outputs = model(**inputs)