Feature Extraction
Transformers
PyTorch
Vietnamese
viconbert
bert
wsd
vietnamese
semantic_similarity
custom_code
Instructions to use tkhangg0910/viconbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tkhangg0910/viconbert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="tkhangg0910/viconbert-base", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tkhangg0910/viconbert-base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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[`tkhangg0910/viconbert-base`](https://huggingface.co/tkhangg0910/viconbert-base) | 135M | base | 256 | [ViConWSD](https://huggingface.co/tkhangg0910/ViConWSD)
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[`tkhangg0910/viconbert-large`](https://huggingface.co/tkhangg0910/viconbert-large) | 370M | large | 256 | [ViConWSD](https://huggingface.co/tkhangg0910/ViConWSD)
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### Example usage <a name="usage2"></a>
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SpanExtractor and text_normalize are implemented in [`code`](https://github.com/tkhangg0910/ViConBERT/tree/main/utils)
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```python
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[`tkhangg0910/viconbert-base`](https://huggingface.co/tkhangg0910/viconbert-base) | 135M | base | 256 | [ViConWSD](https://huggingface.co/tkhangg0910/ViConWSD)
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[`tkhangg0910/viconbert-large`](https://huggingface.co/tkhangg0910/viconbert-large) | 370M | large | 256 | [ViConWSD](https://huggingface.co/tkhangg0910/ViConWSD)
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### Example usage <a name="usage2"></a>
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SpanExtractor and text_normalize are implemented in [`code`](https://github.com/tkhangg0910/ViConBERT/tree/main/utils)
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```python
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