Instructions to use r1ck/vi-sentence-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use r1ck/vi-sentence-embedding with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("r1ck/vi-sentence-embedding") model = AutoModelForMaskedLM.from_pretrained("r1ck/vi-sentence-embedding") - Notebooks
- Google Colab
- Kaggle