autotrain-intent-classification-6categories-auto-88901143797 – AI Model by yeye776 | AlphaNeural AI

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yeye776/
autotrain-intent-classification-6categories-auto-88901143797

like

0

text-classification

yeye776/autotrain-data-intent-classification-6categories-auto

co2_eq_emissions

autotrain_compatible

endpoints_compatible

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Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 88901143797
CO2 Emissions (in grams): 0.4566

Validation Metrics

Loss: 0.042
Accuracy: 1.000
Macro F1: 1.000
Micro F1: 1.000
Weighted F1: 1.000
Macro Precision: 1.000
Micro Precision: 1.000
Weighted Precision: 1.000
Macro Recall: 1.000
Micro Recall: 1.000
Weighted Recall: 1.000

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-auto-88901143797

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("yeye776/autotrain-intent-classification-6categories-auto-88901143797", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("yeye776/autotrain-intent-classification-6categories-auto-88901143797", use_auth_token=True)

inputs = tokenizer("익일 화물 알려줘", return_tensors="pt")

outputs = model(**inputs)