Fill-Mask
Transformers
PyTorch
TensorFlow
Vietnamese
deberta-v2
transformer
vietnamese
nlp
bert
deberta
Instructions to use manhtt-079/vipubmed-deberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manhtt-079/vipubmed-deberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="manhtt-079/vipubmed-deberta-base")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("manhtt-079/vipubmed-deberta-base", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a39648e1ced1787119fc0bf45f9e27275c253d1db01da9a5e190b6e2579461c2
- Size of remote file:
- 738 MB
- SHA256:
- 54cb473b45c95a63033dc92817c1518412567e4f7f9ecb2c3613361cdc728ebf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.