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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8db93c0cd4c0365a550dbff152cb96f7917f0931b4cb605925a6aca6d09c6fe3
- Size of remote file:
- 542 MB
- SHA256:
- 920246a089ab078ab493cf03c42c6a6d788683d319d97a48e4dcae8eeed2220a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.