Instructions to use vietdata/vietnamese-content-cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vietdata/vietnamese-content-cls with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vietdata/vietnamese-content-cls")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vietdata/vietnamese-content-cls") model = AutoModelForSequenceClassification.from_pretrained("vietdata/vietnamese-content-cls", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
64fd718 -
Update README.md
8307383 -
Update README.md
cbe49af -
Create README.md
7bebbce -
Upload BertForSequenceClassification
d52751b -
Upload BertForSequenceClassification
4afb56c -
Upload tokenizer
4cb03db -
Upload tokenizer
3406c28 -
Upload BertForSequenceClassification
9d5bda9 -
initial commit
fb8ed33