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
| license: cc-by-sa-4.0 | |
| language: | |
| - vi | |
| library_name: transformers | |
| pipeline_tag: token-classification | |
| tags: | |
| - capitalization | |
| - punctuation | |
| - capu | |
| - vietnamese | |
| # vibert-capu | |
| Consolidated CAPU model package for `vit-stt`. | |
| This repository combines: | |
| - CAPU fine-tuned model files from `dragonSwing/vibert-capu` | |
| - ViBERT base tokenizer/config files from `FPTAI/vibert-base-cased`, placed under `base_model/` | |
| The consolidation keeps the runtime model swappable with a single model | |
| directory. `config.json` points to `base_model` through | |
| `pretrained_name_or_path`. | |
| ## Intended use | |
| Vietnamese capitalization and punctuation restoration for `vit-stt` | |
| postprocessing. | |
| ## Provenance | |
| - Source CAPU model: https://huggingface.co/dragonSwing/vibert-capu | |
| - Source base model: https://huggingface.co/FPTAI/vibert-base-cased | |
| The source CAPU model reports `cc-by-sa-4.0` metadata on Hugging Face. The base | |
| model repository did not expose license metadata through the Hugging Face API at | |
| upload time. | |