Text Classification
Transformers
PyTorch
Safetensors
Vietnamese
distilbert
vietnamese
topicifier
multilingual
tiny
Instructions to use lamhieu/distilbert-base-multilingual-cased-vietnamese-topicifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lamhieu/distilbert-base-multilingual-cased-vietnamese-topicifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lamhieu/distilbert-base-multilingual-cased-vietnamese-topicifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lamhieu/distilbert-base-multilingual-cased-vietnamese-topicifier") model = AutoModelForSequenceClassification.from_pretrained("lamhieu/distilbert-base-multilingual-cased-vietnamese-topicifier") - Notebooks
- Google Colab
- Kaggle
distilbert-base-multilingual-cased-vietnamese-topicifier
About
Fine-tuning from distilbert-base-multilingual-cased with a tiny dataset about Vietnamese topics.
Usage
Try entering a message to predict what topic is being discussed. For example:
# Photography
Đam mê của tôi là nhiếp ảnh
# World War I
Bạn đã từng nghe về cuộc đại thế chiến ?
Other
The model was fine-tuning with a tiny dataset, don't use it for a product.
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