Sentence Similarity
sentence-transformers
PyTorch
Safetensors
xlm-roberta
feature-extraction
dense
text-embeddings-inference
Instructions to use GreenNode/GreenNode-Embedding-E5-Large-VN-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use GreenNode/GreenNode-Embedding-E5-Large-VN-V1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("GreenNode/GreenNode-Embedding-E5-Large-VN-V1") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ce7277eb97f4ca2c487d47ca991ad095602b9903d107403b5d3297126f8f331
- Size of remote file:
- 2.24 GB
- SHA256:
- 9aaa222c5a6529ae4a69ab6925c863af595d106edf565434c8280777b3126d64
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