Instructions to use VoVanPhuc/sup-SimCSE-VietNamese-phobert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VoVanPhuc/sup-SimCSE-VietNamese-phobert-base with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaForCL tokenizer = AutoTokenizer.from_pretrained("VoVanPhuc/sup-SimCSE-VietNamese-phobert-base") model = RobertaForCL.from_pretrained("VoVanPhuc/sup-SimCSE-VietNamese-phobert-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d23d519021faea87d0a565f4e7627ad77355559ad1920b41001ddd26cff40f2
- Size of remote file:
- 542 MB
- SHA256:
- 2559811f500b42fa23b8fe313d94a9503299aff1f0e0f58fdd4824571cb4423c
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