Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 89087143849
- CO2 Emissions (in grams): 0.4748
Validation Metrics
- Loss: 0.542
- Accuracy: 0.881
- Macro F1: 0.833
- Micro F1: 0.881
- Weighted F1: 0.854
- Macro Precision: 0.918
- Micro Precision: 0.881
- Weighted Precision: 0.901
- Macro Recall: 0.846
- Micro Recall: 0.881
- Weighted Recall: 0.881
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-distilbert-89087143849
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("yeye776/autotrain-intent-classification-6categories-distilbert-89087143849", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("yeye776/autotrain-intent-classification-6categories-distilbert-89087143849", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
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