turkish-sentiment-analysis – AI Model by emre | AlphaNeural AI

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emre/
turkish-sentiment-analysis

like

0

text-classification

10.57967/hf/5056

autotrain_compatible

endpoints_compatible

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Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 870727732
CO2 Emissions (in grams): 120.82460124309924

Validation Metrics

Loss: 0.1098366305232048
Accuracy: 0.9697853317600073
Macro F1: 0.9482820974460786
Micro F1: 0.9697853317600073
Weighted F1: 0.9695237873890088
Macro Precision: 0.9540948884759232
Micro Precision: 0.9697853317600073
Weighted Precision: 0.9694186941924757
Macro Recall: 0.9428467518468838
Micro Recall: 0.9697853317600073
Weighted Recall: 0.9697853317600073

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": "Bu ürün gerçekten güzel çıktı"}' https://api-inference.huggingface.co/models/emre/turkish-sentiment-analysis

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("emre/turkish-sentiment-analysis", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("emre/turkish-sentiment-analysis", use_auth_token=True)

inputs = tokenizer("Bu ürün gerçekten güzel çıktı", return_tensors="pt")

outputs = model(**inputs)