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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from lamhieu/distilbert-base-multilingual-cased-vietnamese-topicifier: direct link, hf CLI and curl.
- Browser
- Download file 661 Bytes
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https://huggingface.co/lamhieu/distilbert-base-multilingual-cased-vietnamese-topicifier/resolve/main/README.md
- Command line
-
hf download hf://lamhieu/distilbert-base-multilingual-cased-vietnamese-topicifier/README.md
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curl -L -o README.md https://huggingface.co/lamhieu/distilbert-base-multilingual-cased-vietnamese-topicifier/resolve/main/README.md
661 Bytes
metadata
language:
- vi
tags:
- vietnamese
- topicifier
- multilingual
- tiny
license:
- mit
pipeline_tag: text-classification
widget:
- text: Đam mê của tôi là nhiếp ảnh
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.