Downloads · 30 days
4
10% of all-time downloads
autotrain-intent-classification-6categories-auto-88901143797
yeye776/autotrain-intent-classification-6categories-auto-88901143797
autotrain-intent-classification-6categories-auto-88901143797 is a text classification model from yeye776. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Multi-class Classification - Model ID: 88901143797 - CO2 Emissions (in grams): 0.4566
All-time downloads
40
Public
Parameters
118M
948 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin473 MB · 50%
Parameter types
How the weights are stored.
F32118M · 100%
Try a prompt
Model card
From the Hugging Face model README
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)
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- ko
- Created
- Sep 13, 2023
- Updated
- Sep 14, 2023