Instructions to use vietgpt/bert-30M-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vietgpt/bert-30M-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vietgpt/bert-30M-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vietgpt/bert-30M-uncased") model = AutoModelForMaskedLM.from_pretrained("vietgpt/bert-30M-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c61aefea1afa4834f0af00968462a6b53a7c9ee702e27c146ff974268053582
- Size of remote file:
- 138 MB
- SHA256:
- 42b433e14a970cdd9df72e67db3de5a15014695804fbd36cd030c0475f19135b
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