yeye776/autotrain-intent-classification-6categories-bertkorbase-89098143855

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 89098143855
• CO2 Emissions (in grams): 0.4074

Validation Metrics

• Loss: 0.052
• Accuracy: 0.976
• Macro F1: 0.973
• Micro F1: 0.976
• Weighted F1: 0.975
• Macro Precision: 0.983
• Micro Precision: 0.976
• Weighted Precision: 0.979
• Macro Recall: 0.967
• Micro Recall: 0.976
• Weighted Recall: 0.976

Dataset Label

Label	intent(category)
11	날씨
12	장소안내
13	전화연결
14	일상대화
15	화물추천
16	검색(FAQ)

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/yeye776/autotrain-intent-classification-6categories-bertkorbase-89098143855

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("yeye776/autotrain-intent-classification-6categories-bertkorbase-89098143855", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("yeye776/autotrain-intent-classification-6categories-bertkorbase-89098143855", use_auth_token=True)

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

outputs = model(**inputs)