README.md

metadata

tags:
  - autotrain
  - text-classification
language:
  - tr
  - en
widget:
  - text: Aldığım hizmetten çok memnun kaldım... Yeniden göklerde görüşmek üzere...
datasets:
  - tkurtulus/thycomments
co2_eq_emissions:
  emissions: 1.2718440164245879
metrics:
  - accuracy
pipeline_tag: text-classification

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 3023686751
• CO2 Emissions (in grams): 1.2718

Validation Metrics

• Loss: 0.489
• Accuracy: 0.839
• Macro F1: 0.767
• Micro F1: 0.839
• Weighted F1: 0.832
• Macro Precision: 0.782
• Micro Precision: 0.839
• Weighted Precision: 0.845
• Macro Recall: 0.770
• Micro Recall: 0.839
• Weighted Recall: 0.839

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 to fly with Turkish Airlines"}' https://api-inference.huggingface.co/models/tkurtulus/TurkishAirlines-SentimentAnalysisModel

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("tkurtulus/TurkishAirlines-SentimentAnalysisModel")

tokenizer = AutoTokenizer.from_pretrained("tkurtulus/TurkishAirlines-SentimentAnalysisModel")

inputs = tokenizer("I love to fly with Turkish Airlines", return_tensors="pt")

outputs = model(**inputs)