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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f86f089af1ee4f539b52a8c26e6ef13b5bf1774b84a4a855a2fc22f0239cfb6
- Size of remote file:
- 550 MB
- SHA256:
- a01586165167d12eacebd09a4972c7eb35b906301521bba872cac1234ea32f62
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.