Token Classification
Transformers
PyTorch
Vietnamese
deberta-v2
transformer
vietnamese
nlp
bert
deberta
deberta-v3
Instructions to use Fsoft-AIC/videberta-xsmall with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fsoft-AIC/videberta-xsmall with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Fsoft-AIC/videberta-xsmall")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Fsoft-AIC/videberta-xsmall", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffd838890ae4e3da0c9ee200062f9dc35f667e10e5b3ec13d72a363fff8e5732
- Size of remote file:
- 241 MB
- SHA256:
- 4c828b4b5051d1d4e0a14cadafda8c19bda4a9b17f488e36d56720487cf252cc
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