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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vietdata/vietnamese-content-cls") model = AutoModelForSequenceClassification.from_pretrained("vietdata/vietnamese-content-cls") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1d10c75461cb1d5c29d6a8e01ba7be4d13155e25e51f840ea934beec1cb6643f
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size 534801684
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