autotrain-Arabic_Poetry_by_Subject-920730227 – AI Model by zenkri | AlphaNeural AI

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zenkri/
autotrain-Arabic_Poetry_by_Subject-920730227

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text-classification

zenkri/autotrain-data-Arabic_Poetry_by_Subject-1d8ba412

co2_eq_emissions

autotrain_compatible

endpoints_compatible

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Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 920730227
CO2 Emissions (in grams): 0.06170374019107819

Validation Metrics

Loss: 0.5905918478965759
Accuracy: 0.8687837028160575
Macro F1: 0.7777187122151491
Micro F1: 0.8687837028160575
Weighted F1: 0.8673230166815299
Macro Precision: 0.796117563625016
Micro Precision: 0.8687837028160575
Weighted Precision: 0.8692944353097692
Macro Recall: 0.7732013751753718
Micro Recall: 0.8687837028160575
Weighted Recall: 0.8687837028160575

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/zenkri/autotrain-Arabic_Poetry_by_Subject-920730227

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("zenkri/autotrain-Arabic_Poetry_by_Subject-920730227", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("zenkri/autotrain-Arabic_Poetry_by_Subject-920730227", use_auth_token=True)

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

outputs = model(**inputs)