Instructions to use briverse/vi-electra-large-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use briverse/vi-electra-large-uncased with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("briverse/vi-electra-large-uncased") model = AutoModelForPreTraining.from_pretrained("briverse/vi-electra-large-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fba257bae750413b2db6c5957708e993fe5370cde8958663659bf56a4e546c6
- Size of remote file:
- 1.48 GB
- SHA256:
- 2a5105a3e14f804e3f88957ffde3781d5648db36b003c555cae93f5d6efc1d1e
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