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
File size: 336 Bytes
f8d4def | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"initializer_range": 0.02,
"label_smoothing": 0.0,
"load_pretrained": false,
"model_type": "bert",
"num_detect_classes": 4,
"pad_token_id": 0,
"predictor_dropout": 0.0,
"pretrained_name_or_path": "base_model",
"special_tokens_fix": true,
"transformers_version": "4.18.0",
"use_cache": true,
"vocab_size": 15
}
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