中文

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)