Instructions to use truongpdd/vi-en-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use truongpdd/vi-en-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="truongpdd/vi-en-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("truongpdd/vi-en-roberta-base") model = AutoModelForMaskedLM.from_pretrained("truongpdd/vi-en-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67d78360f6acf58230513b9e52a3adb384b29b217916db201dc7ea2cfa58b98e
- Size of remote file:
- 652 MB
- SHA256:
- eb2de9cd4258f4e9e616f54b2c493277c3909f1fe84f715795010e88769bcf4e
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