Token Classification
Transformers
PyTorch
Vietnamese
deberta-v2
transformer
vietnamese
nlp
bert
deberta
deberta-v3
Instructions to use Fsoft-AIC/videberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fsoft-AIC/videberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Fsoft-AIC/videberta-base")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Fsoft-AIC/videberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b5edc81d7d602d3e317554f624704687297addabb451947ca31502fef84c6b0
- Size of remote file:
- 567 MB
- SHA256:
- 535b69f2c722ea7dc0415bded1044861cba90ad0962863167fadbff2cc394ecc
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