Token Classification
Transformers
PyTorch
Vietnamese
bert
capitalization
punctuation
capu
vietnamese
Instructions to use leakless/vibert-capu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leakless/vibert-capu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="leakless/vibert-capu")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("leakless/vibert-capu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91c7b15de15ed9343a1cb3d0158771c40378fbaffbb1bfe88af7942d4781b74a
- Size of remote file:
- 462 MB
- SHA256:
- d22fc1de03bc10237eafbd7487c04bc4ef6e890ecf3a77aa678e5995bc251bfd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.