Sentence Similarity
Transformers
Safetensors
Vietnamese
vietnamese
sentence-embeddings
simcse
text-embedding
semantic-similarity
semantic-search
clustering
Instructions to use Tuibingu03/TABERT_SimCSE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tuibingu03/TABERT_SimCSE with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tuibingu03/TABERT_SimCSE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model/bpe.codes from Tuibingu03/TABERT_SimCSE: direct link, hf CLI and curl.
- Browser
- Download file 1.14 MB
-
https://huggingface.co/Tuibingu03/TABERT_SimCSE/resolve/main/model/bpe.codes
- Command line
-
hf download hf://Tuibingu03/TABERT_SimCSE/model/bpe.codes
-
curl -L -o bpe.codes https://huggingface.co/Tuibingu03/TABERT_SimCSE/resolve/main/model/bpe.codes
1.14 MB
File too large to display, you can check the raw version instead.