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:
- e13ad62914972421147476a767ddcaf1e1ca4c682923f7679e66bc15f5ec4f37
- Size of remote file:
- 2.42 kB
- SHA256:
- b7a43d73b0d965d664a2a87121ef8fb0026ab7254301304157386ecc10226d37
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