Text Classification
Transformers
Safetensors
Korean
bert
spam-detection
sms
multilingual
text-embeddings-inference
Instructions to use blockenters/sms-spam-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use blockenters/sms-spam-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="blockenters/sms-spam-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("blockenters/sms-spam-classifier") model = AutoModelForSequenceClassification.from_pretrained("blockenters/sms-spam-classifier") - Notebooks
- Google Colab
- Kaggle
출처에 관한 질문
#1
by randomyellowdude - opened
No description provided.
randomyellowdude changed discussion title from 데이터셋 출처에 관하여 질문 to 출처에 관한 질문
안녕하세요. 모델 카드에서 데이터셋 관련 문의 가능하다고 적어주신 것을 보고 연락드립니다.
학습에 사용한 SMS 스팸 데이터셋의 출처, 규모, 라벨 구성, 공개 가능 여부를 알 수 있을까요?
감사합니다.