Epironica – AI Model by yigitkucuk | AlphaNeural AI

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yigitkucuk/
Epironica

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text-classification

yigitkucuk/Epironica-dataset

co2_eq_emissions

autotrain_compatible

endpoints_compatible

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Validation Metrics

Loss: 0.537
Accuracy: 0.721
Macro F1: 0.720
Micro F1: 0.721
Weighted F1: 0.720
Macro Precision: 0.723
Micro Precision: 0.721
Weighted Precision: 0.723
Macro Recall: 0.721
Micro Recall: 0.721
Weighted Recall: 0.721
Problem type: Multi-class Classification
CO2 Emissions (in grams): 3.2437
Model ID: 2994886333

Use with Python API

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("yigitkucuk/Epironica", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("yigitkucuk/Epironica", use_auth_token=True)

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

outputs = model(**inputs)