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--- |
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tags: |
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- autotrain |
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- text-classification |
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language: |
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- ko |
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widget: |
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- text: "익일 화물 알려줘" |
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datasets: |
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- yeye776/autotrain-data-intent-classification-6categories-auto |
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co2_eq_emissions: |
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emissions: 0.45662908042466266 |
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--- |
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# Model Trained Using AutoTrain |
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- Problem type: Multi-class Classification |
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- Model ID: 88901143797 |
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- CO2 Emissions (in grams): 0.4566 |
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## Validation Metrics |
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- Loss: 0.042 |
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- Accuracy: 1.000 |
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- Macro F1: 1.000 |
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- Micro F1: 1.000 |
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- Weighted F1: 1.000 |
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- Macro Precision: 1.000 |
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- Micro Precision: 1.000 |
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- Weighted Precision: 1.000 |
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- Macro Recall: 1.000 |
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- Micro Recall: 1.000 |
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- Weighted Recall: 1.000 |
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## Dataset Label |
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| Label | intent(category) | |
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| ------------ | ------------------- | |
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| 11 | 날씨 | |
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| 12 | 장소안내 | |
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| 13 | 전화연결 | |
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| 14 | 일상대화 | |
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| 15 | 화물추천 | |
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| 16 |검색(FAQ)| |
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## Usage |
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You can use cURL to access this model: |
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``` |
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$ 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-auto-88901143797 |
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``` |
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Or Python API: |
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``` |
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from transformers import AutoModelForSequenceClassification, AutoTokenizer |
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model = AutoModelForSequenceClassification.from_pretrained("yeye776/autotrain-intent-classification-6categories-auto-88901143797", use_auth_token=True) |
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tokenizer = AutoTokenizer.from_pretrained("yeye776/autotrain-intent-classification-6categories-auto-88901143797", use_auth_token=True) |
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inputs = tokenizer("익일 화물 알려줘", return_tensors="pt") |
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outputs = model(**inputs) |
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``` |
