Text Classification
Transformers
Safetensors
Korean
bert
klue
korean
minwon
complaint
public-administration
text-embeddings-inference
Instructions to use atti433/minde-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use atti433/minde-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="atti433/minde-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("atti433/minde-classifier") model = AutoModelForSequenceClassification.from_pretrained("atti433/minde-classifier") - Notebooks
- Google Colab
- Kaggle
| { | |
| "[ACCT]": 32005, | |
| "[ADDR]": 32000, | |
| "[BIZ]": 32006, | |
| "[LOC]": 32007, | |
| "[NAME]": 32001, | |
| "[NUM]": 32003, | |
| "[ORG]": 32002, | |
| "[PERSON]": 32008, | |
| "[TEL]": 32004 | |
| } | |