Instructions to use NlpHUST/vi-electra-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NlpHUST/vi-electra-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("NlpHUST/vi-electra-small") model = AutoModelForPreTraining.from_pretrained("NlpHUST/vi-electra-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3ecd5e466fc5d041c0c28b11a16bdfe91df2a8ca359dba062ce07554b301b9c
- Size of remote file:
- 70.4 MB
- SHA256:
- e81925c69075b92bf3564d6dc91bcf12c9098154f0c7e36bb10606f4afecf549
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